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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Earth Sci.</journal-id>
<journal-title>Frontiers in Earth Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Earth Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-6463</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1078434</article-id>
<article-id pub-id-type="doi">10.3389/feart.2023.1078434</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Earth Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>P-wave velocity structure and implications for magmatism and metallogenesis in the southern Altaids: Constraint from wide-angle seismic data along the Altai-Eastern Tianshan traverse</article-title>
<alt-title alt-title-type="left-running-head">Bai et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/feart.2023.1078434">10.3389/feart.2023.1078434</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Bai</surname>
<given-names>Zhiming</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1633635/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Liang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1986605/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xiao</surname>
<given-names>Wenjiao</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/114119/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xu</surname>
<given-names>Tao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1368016/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Badal</surname>
<given-names>Jos&#xe9;</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>State Key Laboratory of Lithospheric Evolution</institution>, <institution>Institute of Geology and Geophysics</institution>, <institution>Chinese Academy of Sciences</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>National Key Laboratory of Ecological Security and Resource Utilization in Arid Areas</institution>, <institution>Xinjiang Institute of Ecology and Geography</institution>, <institution>Chinese Academy of Sciences</institution>, <addr-line>Urumqi</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Physics of the Earth, Sciences B</institution>, <institution>University of Zaragoza</institution>, <addr-line>Zaragoza</addr-line>, <country>Spain</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1479463/overview">Chunquan Yu</ext-link>, Southern University of Science and Technology, China</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2070807/overview">Hanchao Jian</ext-link>, Woods Hole Oceanographic Institution, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2097611/overview">Tianze Liu</ext-link>, University of California, San Diego, United States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Zhiming Bai, <email>bbzzmm@mail.iggcas.ac.cn</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Solid Earth Geophysics, a section of the journal Frontiers in Earth Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>24</day>
<month>02</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>11</volume>
<elocation-id>1078434</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>02</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Bai, Zhao, Xiao, Xu and Badal.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Bai, Zhao, Xiao, Xu and Badal</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Altaids in the Central Asian Orogenic Belt (CAOB) is one of the world&#x2019;s largest orogenic belts containing mineral deposits. Together with the Junggar terrain they open an important window to study the Paleozoic tectonic evolution of the CAOB. In this paper, we analyze a 637-km-long wide-angle refraction/reflection seismic profile across the Altai-Eastern Tianshan orogenic belt in the southern Altaids, conducted in September 2018 using 10 large explosive charges fired in drilled holes. We use a traveltime inversion method to reconstruct the lithospheric P-wave velocity structure along the profile. The lithosphere is composed of a 43-55-km-thick crust, a &#x223c;10-km-thick crust-mantle transition layer beneath the Altai Mountain, and a &#x223c;25-km-thick layer of lithospheric mantle. The results clearly reveal: a prominent Moho uplift beneath the Yemaquan Island Arc, two major crustal-scale low-velocity anomalies (LVAs) beneath the Yemaquan Arc and Bogda Mountain, and three high-velocity anomalies (HVAs) near the surface around the Kalatongke, Yemaquan and Kalatage mining areas. We hypothesize that the subduction of the Paleo-Asian Ocean occurred with strong mantle upwelling. We suggest that continued compression of the Paleo-Asian Ocean causes the delamination of lithosphere, as well as asthenospheric material upwelling and magma underplating into the crust. Consistently, Paleozoic mafic-ultramafic rocks and mantle-derived minerals related to gold, copper and nickel deposits, are widely extended in the area. Our results show that the P-wave velocity-depth curves for deeper depths (&#x3e;30&#xa0;km) in the southern Altai and Junggar Basin are close to those of the continental arcs and global continent average. Despite powerful Paleozoic subduction activity, orogeny and volcanism strongly modified the lower crust in the region, part of ancient continental crust was still preserved below the southern Altai and Junggar Basin. In addition, the upper part (depth 5&#x2013;30&#xa0;km) of the velocity-depth curve for the Junggar Basin is close to that of the Costa Rica volcanic front and the British Columbia accreted terrain, suggesting that Paleozoic orogenic activity has intensively reconstructed the upper-middle crust beneath the Junggar Basin.</p>
</abstract>
<kwd-group>
<kwd>wide-angle seismic profiling</kwd>
<kwd>P-wave velocity structure</kwd>
<kwd>magmatism and metallogenesis</kwd>
<kwd>east Altai-Tianshan traverse</kwd>
<kwd>central Asian orogenic belt</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Highlights</title>
<p>
<list list-type="simple">
<list-item>
<p>Crustal structure across the Altai-Eastern Tianshan orogenic belt with a 637-km-long wide-angle seismic profile</p>
</list-item>
<list-item>
<p>Prominent HVAs around the Kalatongke, Yemaquan and Kalatage mining areas.</p>
</list-item>
<list-item>
<p>Apparent LVAs related to the subduction of the Paleo-Asian Oceanic plate.</p>
</list-item>
<list-item>
<p>Signifcant Moho uplift and a crust-mantle transition layer beneath the Altai Mountain due to mantle upwelling.</p>
</list-item>
<list-item>
<p>Upper-middle crustal property of Junggar Basin similar to the Costa Rica volcanic front and the British Columbia accreted terrain.</p>
</list-item>
</list>
</p>
</sec>
<sec id="s2">
<title>Introduction</title>
<p>Altaids is part of the central Asian orogenic belt, which is found among the large cratons in Eastern Europe (Poland), Siberia, North China, and Tarim. It is the largest continental metallogenic domain in the world (<xref ref-type="bibr" rid="B64">Xiao et al., 2015</xref>; <xref ref-type="bibr" rid="B65">Xiao et al., 2018</xref>). This region experienced the Precambrian mantle plume explosion, Paleo-Asian Ocean closure, multi-oceanic basin, multiple subduction and complex multidirectional convergent accretion orogenic process during the Paleozoic. All these processes gave rise to a series of tectonic and thermal events, including subduction and magma accretion, and produced world-class gold, copper and other mineral resources. Hence, the investigation of the physical structure, geodynamics and metallogeny of the central Asian orogenic belt has become an attractive Frontier topic in the field of geosciences.</p>
<p>North Xinjiang in western China has undergone strong plate accretion, orogenic processes and magma events in the Paleozoic due to which ophiolite suites, mafic and ultramafic rocks and multi-type metal deposits were produced, including the Kalatongke copper-nickel mine and the Dunbastao gold deposit along the Erqis fault, the Cu-Au metallogenic systems represented by the Qingshuiquan, Shuangquan and Nanmingshui ore deposits (of orogenic, porphyry and epithermal hydrothermal type, respectively) along the Kalamaili fault, and the Kalatage porphyry copper-gold deposit near the southern margin of the Altai-Eastern Tianshan traverse. However, there is still a lack of knowledge and lively controversy regarding the tectonic evolution and metallogeny process in the southern Altaids.</p>
<p>First, despite some geological evidence has shown that the late Paleozoic ultramafic rocks and widely developed Cu-Ni, Ti-Fe and Cr-Fe deposits in the Altai-Eastern Tianshan are closely related to mantle-derived magma (e.g., <xref ref-type="bibr" rid="B36">Mao et al., 2006</xref>; <xref ref-type="bibr" rid="B9">Dong et al., 2009</xref>; <xref ref-type="bibr" rid="B40">Qian et al., 2011</xref>; <xref ref-type="bibr" rid="B55">Wang et al., 2013</xref>), the properties of the crustal material and the structural characteristics beneath different blocks need further investigation. For example, whether or not there was a preserved mafic component or special structure related to the Paleozoic subduction or orogenic process in the crust remains an interesting question that limits the discussion of metallogenic mechanism and regional geodynamics.</p>
<p>Based on active seismic source data acquired along the Altai-Altyn geological section, <xref ref-type="bibr" rid="B56">Wang et al. (2003)</xref> and <xref ref-type="bibr" rid="B57">Wang et al. (2004)</xref> obtained the seismic velocity structure and Poisson&#x2019;s ratio of the crust. Their results show that the crustal thickness is about 50&#xa0;km for most segments of the profile, although it increases up to 56&#xa0;km in southern Altai Mountain and decreases up to 46&#xa0;km in the Junggar Basin; they also revealed some local high-velocity anomalies (HVAs) with Vp greater than 7.0&#xa0;km/s and high Poisson&#x2019;s ratio of 0.26&#x2013;0.28 below the Altai Mountain and Junggar Basin. A basic composition was suggested for the upper-middle crust and mafic granulite for the lower crust. Nevertheless, due to several drawbacks, such as a fairly large firing spacing of 63&#x2013;125&#xa0;km, a receiver spacing of 2&#x2013;4&#xa0;km, and an incomplete observation system, the zones of interest, such as orogenic belts, main sutures and the typical areas of mineral concentration were not sufficiently illuminated, so the fine-scale velocity structure of the region and the Paleozoic tectonics and metallogenic mechanism were not fully determined.</p>
<p>Second, the existence of an ancient basement is still a matter of discussion. For example, it was believed that Altaids had a Precambrian basement in the past (17-8&#xa0;Ga or later), which was supported by the Sm-Nd age and the Nd isotopic pattern age (<xref ref-type="bibr" rid="B22">Hu et al., 2000</xref>; <xref ref-type="bibr" rid="B22">Hu et al., 2000</xref>; <xref ref-type="bibr" rid="B10">Fang et al., 2002</xref>). However, some studies based on the average zircon age of gneiss have questioned whether there is an ancient basement in the Altai orogen (e.g., <xref ref-type="bibr" rid="B33">Long et al., 2008</xref>; <xref ref-type="bibr" rid="B48">Sun et al., 2008</xref>). Nd isotope mapping shows that the central part of the deep crust in the Altai orogenic belt is old and the southern margin is new; there is an ancient basement in the lower part of the central block; most of the crustal growth below the Altai Mountains is in a horizontal direction (<xref ref-type="bibr" rid="B53">Wang et al., 2010</xref>; <xref ref-type="bibr" rid="B52">Wang et al., 2020</xref>). Faced with this scenario, geophysical evidence is still lacking.</p>
<p>The Junggar Basin has experienced multiple periods of north-south compression, basin-forming evolution and tectonic deformation since the Paleozoic (<xref ref-type="bibr" rid="B20">He et al., 2005</xref>). <xref ref-type="bibr" rid="B61">Wu. (1986)</xref> suggested that the basement of the Junggar Basin was composed of Cambrian-Carboniferous oceanic basins, intra-oceanic island arcs, and micro-continent blocks. Some studies (e.g., <xref ref-type="bibr" rid="B29">Li et al., 2000</xref>; <xref ref-type="bibr" rid="B44">Qu et al., 2008</xref>) inferred that the eastern Junggar Basin has late Pre-Ordovician continental crustal basement, and <xref ref-type="bibr" rid="B44">Qu et al. (2008)</xref> even point out that the basement layer is continental crust characterized by a &#x201c;double basement.&#x201d; However, based on the results of isotopic and geochemical research, other authors (e.g., <xref ref-type="bibr" rid="B22">Hu et al., 2000</xref>; <xref ref-type="bibr" rid="B51">Wang et al., 2019</xref>) inferred that the basement layer of Junggar Basin is formed by oceanic crust, and that it may be the trace of a residual oceanic basin with a crust younger than the Altai and Tianshan Mountains. Despite this, mapping results of the Altai&#x2012;East Junggar&#x2012;East Tianshan regional isotope corridor show that the East Junggar granites have high &#x3b5;<sub>Nd</sub>(t) (&#x2b;8&#x2012;&#x2b;1) and low T<sub>DM</sub> (0.7-0.5&#xa0;Ga) values, which implies that it is young material from the mantle; the deep material mainly has a relatively new (juvenile crust) structural composition (Hf model age is 0.67&#x2013;0.20&#xa0;Ga), and the Junggar orogen belt is dominated by vertical growth (<xref ref-type="bibr" rid="B52">Wang et al., 2020</xref>).</p>
<p>Against this background, in September 2018, we conducted a 637-km-long wide angle, deep seismic sounding (DSS) experiment across the Altai-Eastern Tianshan traverse to acquire field wide-angle seismic data. The goal was to reconstruct the crust-upper mantle structure, understand the Palaeozoic accretion and mountain building process in the frame of the ancient Asian Ocean plates, and explore the potential tectonic mechanism for mineral deposits in the area. With the collected seismic data, we adopted the traveltime inversion method Rayinvr (<xref ref-type="bibr" rid="B70">Zelt and Smith, 1992</xref>; <xref ref-type="bibr" rid="B71">Zelt and White, 1995</xref>) to reconstruct the lithospheric structure of the region more clearly, and finally acquired its seismic properties related to the Paleozoic subduction and block collage activities in the region.</p>
</sec>
<sec id="s3">
<title>Junggar geological setting</title>
<p>The north-south Altai-Eastern Tianshan profile is located on the eastern margin of the Junggar terrane. It starts at the Altai Mountains and passes through Altaids, Ulungur depression, Yemaquan Arc, eastern uplift of the Junggar Basin, Bogda Mountain, Turpan-Hami Basin and the Dananhu-Tousuquan Arc near the Kanggur suture zone (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>The topography <bold>(A)</bold> and geological setting <bold>(B)</bold> of Altai-Tianshan DSS profile. Black triangles: EPS-type digital seismographs; purple triangles: PDS-2 type digital seismographs; red stars: shot point locations (S01-S10). The blue dashed line in Panel <bold>A</bold> denotes the location of old DSS line given by <xref ref-type="bibr" rid="B56">Wang et al. (2003)</xref> in this region. The lithology in Panel <bold>B</bold>: 1) Quaternary Holocene alluvial deposits. 2) Upper Pleistocene and Holocene weathered sedimentary. 3) Upper Pleistocene and Holocene water sedimentary. 4) Tertiary sedimentary. 5) Lower Proterozoic. 6) Middle Proterozoic. 7) Mesozoic. 8) Paleozoic. 9) Devonian-Permian granites and granodiorites. (10) Proterozoic granites and granodiorites. (11) Middle Carboniferous sedimentary and volcanic rocks. (12) Early Carboniferous andesites and basalts; (13) Gabbro and diabase. (14) Peridotite and diabase peridotite.</p>
</caption>
<graphic xlink:href="feart-11-1078434-g001.tif"/>
</fig>
<p>The Altai Mountains show many geological records related to Paleozoic ridge subduction, such as adakites, niobium-rich basalts, boehmites, peridotites, A-type granites, bimodal volcanic rocks, ophiolite in back-arc basin, Alaska-type basic-ultrabasic complex, metamorphic belts, acid dyke swarm, <italic>etc.</italic> <xref ref-type="bibr" rid="B63">Xiao et al. (2019)</xref> pointed out that the main body of the Altai magmatic arc is formed by the subduction and accretion of the Paleo-Asian Ocean during the Paleozoic.</p>
<p>The Ulungur depression is near the south of Altai Mountains and has a Carboniferous basement layer, and also an upper Triassic, Jurassic and Cretaceous sedimentary layer (<xref ref-type="bibr" rid="B78">Zhu, 2009</xref>; <xref ref-type="bibr" rid="B7">Chen et al., 2010</xref>), where rich oil-gas resources were explored in the last 10&#xa0;years. The Erqis ophiolite belt and the Almantai ophiolite belt are located on its north and south sides, respectively (<xref ref-type="fig" rid="F1">Figure 1</xref>). The Yemaquan Arc between the Almantai and Kalamaili ophiolite belts is a part of the eastern Junggar orogenic belt whose folded basement is a volcanic marble basin.</p>
<p>The Junggar Basin has a Cambrian-Carboniferous basement layer consisting of an ocean basin, island arc and microcontinents (<xref ref-type="bibr" rid="B61">Wu, 1986</xref>; Bian et al., 2010). From Carboniferous to Cenozoic time, it has experienced multistage tectonic superposition and developed rich oil and gas resources (<xref ref-type="bibr" rid="B76">Zheng et al., 2018</xref>).</p>
<p>Bogda Mountain in the southern half of the reference profile has a mid-height mountain and low-hill topography that has been strongly eroded and cut; its main body is composed of a series of Carboniferous marine volcanic-sedimentary rocks coming from small-scale granites, diorites, potash feldspar granites and gabbro-diabase (<xref ref-type="bibr" rid="B12">Gu et al., 2001</xref>), although its two sides are Permian conglomerate, sandstone, siltstone and basalts (<xref ref-type="bibr" rid="B47">Su et al., 2005</xref>).</p>
<p>The Turpan-Hami Basin on the south side of Bogda Mountain (<xref ref-type="fig" rid="F1">Figure 1</xref>) is a continental intermountain basin formed by the Indochina-Yanshanian movement and especially by the northward extrusion of the Indian Plate since the Miocene (<xref ref-type="bibr" rid="B69">Yu and Fu, 1993</xref>). Here the basement is composed of Devonian, Carboniferous, and Lower Permian marine intermediate bases, intermediate acid volcanic rocks, volcanic tuffaceous sandstones, mudstones, limestones and Variccian acid magmatic rocks.</p>
<p>The Dananhu-Tousuquan Island Arc at the southernmost end of the profile is part of the eastern Tianshan orogenic belt, and the adjacent Kanggurtag (<xref ref-type="fig" rid="F1">Figure 1</xref>) belt is thought to preserve clear evidence of the subduction of the Paleo-Asian oceanic plate and the arc-continent collision. The Paleozoic strata developed in this belt are composed of basic igneous rocks, acid igneous rocks, volcanic sedimentary rocks, clastic rocks and limestones (<xref ref-type="bibr" rid="B67">Xu et al., 2005</xref>). The intrusive rocks are mainly composed by granite, granodiorite, monzogranite, <italic>etc.</italic> The basic-ultrabasic complexes, whose ages range from the Middle Ordovician (<xref ref-type="bibr" rid="B66">Xiao et al., 2004</xref>) to the Permian (<xref ref-type="bibr" rid="B28">Li et al., 2006</xref>; <xref ref-type="bibr" rid="B54">Wang et al., 2019</xref>), are extensively exposed here.</p>
</sec>
<sec id="s4">
<title>Data</title>
<sec id="s4-1">
<title>Seismic data acquisition</title>
<p>The seismic experiment was carried out in September-October 2018. The 637-km-long wide-angle reflection/refraction profile, with an azimuth near N30W, was deployed from the Altai Mountain to the eastern Tianshan orogenic belt (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<p>Several holes were drilled and explosive charges were fired under the control of the Geophysical Exploration Centre of the China Earthquake Administration, which was in charge of acquiring seismic data. Field operations were carried out using a dense coverage observation system consisting of 10 shots that were recorded by 595 three-component digital seismographs spaced &#x223c;1&#xa0;km apart. Charges of 2&#x2013;3 tons of explosive were fired at shot points spaced at 54&#x2013;89&#xa0;km. The locations of the shot points from S01 to S10, their respective altitudes and the triggered charges are given in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Shot point locations and respective shot charges.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Shot code</th>
<th align="left">Latitude N</th>
<th align="left">Longitude E</th>
<th align="left">Altitude (m)</th>
<th align="left">Charge (kg)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">S01</td>
<td align="left">47.37628</td>
<td align="left">89.13358</td>
<td align="left">1,086</td>
<td align="left">3,000</td>
</tr>
<tr>
<td align="left">S02</td>
<td align="left">46.73469</td>
<td align="left">89.61982</td>
<td align="left">993</td>
<td align="left">3,000</td>
</tr>
<tr>
<td align="left">S03</td>
<td align="left">46.24046</td>
<td align="left">90.04805</td>
<td align="left">996</td>
<td align="left">2,520</td>
</tr>
<tr>
<td align="left">S04</td>
<td align="left">45.69111</td>
<td align="left">90.22572</td>
<td align="left">1,192</td>
<td align="left">1,992</td>
</tr>
<tr>
<td align="left">S05</td>
<td align="left">44.97589</td>
<td align="left">90.02917</td>
<td align="left">948</td>
<td align="left">2,016</td>
</tr>
<tr>
<td align="left">S06</td>
<td align="left">44.23106</td>
<td align="left">90.51181</td>
<td align="left">842</td>
<td align="left">3,000</td>
</tr>
<tr>
<td align="left">S07</td>
<td align="left">43.66926</td>
<td align="left">91.33282</td>
<td align="left">1,639</td>
<td align="left">1,992</td>
</tr>
<tr>
<td align="left">S08</td>
<td align="left">43.26058</td>
<td align="left">91.72744</td>
<td align="left">797</td>
<td align="left">1,992</td>
</tr>
<tr>
<td align="left">S09</td>
<td align="left">42.60164</td>
<td align="left">91.86958</td>
<td align="left">525</td>
<td align="left">2,520</td>
</tr>
<tr>
<td align="left">S10</td>
<td align="left">42.05881</td>
<td align="left">92.17778</td>
<td align="left">838</td>
<td align="left">3,000</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The 5-minute-long seismic signals recorded by digital seismographs were initially sampled at 200&#xa0;Hz, and then band-pass filtered within the 1&#x2013;10&#xa0;Hz frequency band for P-waves. Besides this, to make the seismic reflections more clear to identify, we firstly normalized the records, then enlarged the signal by multiplying the signal-to-noise ratio (SNR) and constant 2.5 so as to make the reflections to be confidently picked, where SNR&#x3d;Amp/(Amp&#x2b;Amp0), Amp is the average amplitude within short time-window (0.4&#xa0;s) around each time-point, and the Amp0 is the minimum average amplitude within 0.4&#xa0;s before this time-point. All common shot gathers are plotted on a reduced time scale by velocity of 6.0&#xa0;km/s (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Shot gathers for shot S01 and S02. The other gathers for shots S03-S10 has been included in the suppmentary files. Shot numbers locate at the lower left corner of each graph, and the time axis were reduced at a velocity of 6.0&#xa0;km/s. Picked traveltime data are drawn as blue lines, while final velocity model traveltimes are drawn as red triangles. Moreover, the slope of the lines at the lower right corner indicates the apparent velocities of the first arrival phase Pg and Pn, which were labeled as red digits in the diagrams.</p>
</caption>
<graphic xlink:href="feart-11-1078434-g002.tif"/>
</fig>
<p>The other gathers for shots S03-S10 has been included in the <xref ref-type="sec" rid="s14">Supplementary Files</xref>. Shot numbers locate at the lower left corner of each graph, and the time axis were reduced at a velocity of 6.0&#xa0;km/s. Picked traveltime data are drawn as blue lines, while final velocity model traveltimes are drawn as red triangles. Moreover, the slope of the lines at the lower right corner indicates the apparent velocities of the first arrival phase Pg and Pn, which were labeled as red digits in the diagrams.</p>
<p>To apply a 2-D modeling approach for this crooked shot-receiver array, the shot locations are projected perpendicularly onto the line between shots S01 and S10 while maintaining the true source-receiver offsets for subsequent modeling, however this crooked profile indicates the out-of-plane sampling and averaging of structure by the final 2-D model.</p>
</sec>
<sec id="s4-2">
<title>Seismic phases on the record sections</title>
<p>Based on the 10 shots fired and the seismic gathers we pick 7,991 travel time data, which can be classified into eight groups: first arrivals of Pg waves, intracrustal reflections P1, P2, P3, Moho reflections Pm1 and Pm2, PL reflections from the bottom of the lithosphere, and first arrivals of the refracted Pn phase along the top of the upper mantle.</p>
<p>The first Pg arrivals can be generally observed at offsets of up to 90&#x2013;130&#xa0;km with an apparent P-wave velocity of 5.81&#x2013;6.38&#xa0;km/s (<xref ref-type="fig" rid="F3">Figure 3</xref>). The Pg traveltimes at some places are obliviously delayed, which include the south to shots S03, S05, S07, S08 and the north to shot S09. These delayed data agree with a surface depression or sedimentary basins, such as the Ulungur depression, Junggar Basin and Turpan-Hami Basin (Tuha basin). Secondly, the Pg traveltime curves of south branch for shots S02 and S04, and north branch for shots S05, S07 and S10 (<xref ref-type="fig" rid="F2">Figure 2</xref>), show an apparently high P-wave velocity of 6.2&#x2013;6.4&#xa0;km/s, which means high velocity anomalies (HVAs) in the shallow crust beneath the Yemaquan Arc, Bogda Mountain, Dananhu Arc, and around the Kalatongke and Kalatage mining areas. Moreover, some Pg traveltime curves (south branch for shots S01 and S09) extend as a horizontal line, which indicates that the apparent P-wave velocity is nearly 6.0&#xa0;km/s.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>
<bold>(A)</bold> Traveltime-offset curves on a reduced time scale by velocity of 6.0&#xa0;km/s. In parentheses: reflection depths and P-wave velocities deduced from the seismic phases previously identified on each record section. Both the observed data (blue dotted lines) and the calculated data from the final velocity model (red triangles) have also been included for further comparison. <bold>(B)</bold> Spatial distribution of back-projected velocities, depths and possible reflections (dotted lines) based on the X<sup>2</sup>-T<sup>2</sup> method. Top: structures and faults traversed by the profile; red diamonds mark the location of the Kalatongke and Kalatage mineral deposits to the north and south of the profile, respectively.</p>
</caption>
<graphic xlink:href="feart-11-1078434-g003.tif"/>
</fig>
<p>The intracrustal reflections P1, P2, P3 come from the interfaces C1, C2, and C3, respectively, at average depths of 18.0, 29.7 and 40.17&#xa0;km, and reveal average velocities of 6.11, 6.35 and 6.49&#xa0;km/s (<xref ref-type="fig" rid="F2">Figures 2</xref>, <xref ref-type="fig" rid="F3">3</xref>) computed from the well-known <inline-formula id="inf1">
<mml:math id="m1">
<mml:mrow>
<mml:msup>
<mml:mi mathvariant="normal">X</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mo>&#x2212;</mml:mo>
<mml:msup>
<mml:mi mathvariant="normal">T</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mrow>
</mml:math>
</inline-formula> relationship for reflections (<xref ref-type="bibr" rid="B2">Bamford, 1978</xref>). In general, the P1 reflection has large amplitude for all shots, indicating that the layers above and below of the C1 interface have a large P-wave impedance contrast. The reflected phases P2 and P3 show the characteristics of continuity and strong amplitude in most sections, such as the southern branch for S02, S05, S06 and the northern branch of S07 and S09 for phase P2, and the southern branch of S02, S03, S04, S05 and northern branch for S07 and S10 for phase P3 (<xref ref-type="fig" rid="F2">Figure 2</xref>), despite the fact that some branches present characteristics of weak energy or little continuity.</p>
<p>The Moho reflection Pm1 extends over a offset of 90&#x2013;280&#xa0;km with strong apparent amplitude and reveals a P-wave velocity of 6.60&#xa0;km/s and an approximate crustal thickness of 51.0&#xa0;km (<xref ref-type="fig" rid="F2">Figures 2</xref>, <xref ref-type="fig" rid="F3">3</xref>). The Pm1 phases clearly arrive earlier at offsets of around 135&#xa0;km and 200&#xa0;km, as can be seen for the southern branch for S03 and the northern branch for S05, respectively, indicating that Moho uplift likely exists beneath the Yemaquan Arc.</p>
<p>The reflection Pm2 from the bottom of crust beneath the Altai Mountain appears clearly identified at an offset range of 100&#x2013;270&#xa0;km, such as the south branch for S02 and the north branch for S03 and S04, suggesting an average crustal thickness of 61.4&#xa0;km and a velocity of 6.77&#xa0;km/s (<xref ref-type="fig" rid="F2">Figures 2</xref>, <xref ref-type="fig" rid="F3">3</xref>). The apparent high P-wave velocity of 6.77&#xa0;km/s suggests that a transition layer between the crust and the mantle probably exists below Altai Mountain.</p>
<p>The southern records for shots S02, S03, S04 and the northern records for shots S06 and S07 show a clear Pn phase whose average apparent P-wave velocity varies from 7.8&#xa0;km/s to 8.4&#xa0;km/s (<xref ref-type="fig" rid="F2">Figures 2</xref>, <xref ref-type="fig" rid="F3">3</xref>). The reflected phase PL is identified on the southern records for shots S01, S02, S04, S05 and on the northern records for shots S06, S07, S08 and S10. This event covers an offset from &#x223c;200&#xa0;km to &#x223c;300&#xa0;km and indicates an average lithospheric thickness of 85.8&#xa0;km and a velocity of 7.20&#xa0;km/s.</p>
<p>To display all the above data together, in <xref ref-type="fig" rid="F3">Figure 3A</xref> we show in parentheses depths and seismic velocities deduced from the identified seismic phases on each record section, and in <xref ref-type="fig" rid="F3">Figure 3B</xref> the spatial distribution of velocities and depths together with possible reflection limits based on previously calculated back-projected locations (dotted lines), which were determined using the <inline-formula id="inf2">
<mml:math id="m2">
<mml:mrow>
<mml:msup>
<mml:mi mathvariant="normal">X</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mo>&#x2212;</mml:mo>
<mml:msup>
<mml:mi mathvariant="normal">T</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mrow>
</mml:math>
</inline-formula> method from the above traveltime data. The regional lithosphere shows some basic features: both the Moho discontinuity and the lithosphere-asthenosphere boundary (LAB) below Altai Mountain lie deeper than in other sections; they are also deeper below Bogda Mountain, while the Moho below the Tuha Basin is uplifting significantly.</p>
</sec>
</sec>
<sec sec-type="methods" id="s5">
<title>Methods</title>
<sec id="s5-1">
<title>Forward and inverse modeling</title>
<p>To model the seismic events described above, we constructed an initial 2-D model using a combination of forward modeling of amplitudes and traveltimes by trial-and-error (<xref ref-type="bibr" rid="B4">Cerveny et al., 1977</xref>; <xref ref-type="bibr" rid="B5">Cerveny and Psencik, 1984</xref>), and then inverting the structure of the lithosphere using the ray inversion method (<xref ref-type="bibr" rid="B70">Zelt and Smith, 1992</xref>; <xref ref-type="bibr" rid="B71">Zelt and White, 1995</xref>; <xref ref-type="bibr" rid="B74">Zhang et al., 2013</xref>).</p>
<p>The 2-D ray-tracing equations are a pair of first-order ordinary differential equations that can be written in two ways (<xref ref-type="bibr" rid="B4">Cerveny et al., 1977</xref>; <xref ref-type="bibr" rid="B5">Cerveny and Psencik, 1984</xref>; <xref ref-type="bibr" rid="B80">Xu et al., 2014</xref>):<disp-formula id="e1">
<mml:math id="m3">
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:mi mathvariant="normal">d</mml:mi>
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<mml:mrow>
<mml:mi mathvariant="normal">d</mml:mi>
<mml:mi mathvariant="normal">x</mml:mi>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#x3d;</mml:mo>
<mml:mi mathvariant="normal">c</mml:mi>
<mml:mi mathvariant="normal">o</mml:mi>
<mml:mi mathvariant="normal">t</mml:mi>
<mml:mi mathvariant="normal">a</mml:mi>
<mml:mi mathvariant="normal">n</mml:mi>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mi mathvariant="normal">&#x3b8;</mml:mi>
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<mml:mfrac>
<mml:mrow>
<mml:mi mathvariant="normal">d</mml:mi>
<mml:mi mathvariant="normal">&#x3b8;</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi mathvariant="normal">d</mml:mi>
<mml:mi mathvariant="normal">x</mml:mi>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="normal">v</mml:mi>
<mml:mi mathvariant="normal">z</mml:mi>
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<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi mathvariant="normal">v</mml:mi>
<mml:mi mathvariant="normal">x</mml:mi>
</mml:msub>
<mml:mi mathvariant="normal">c</mml:mi>
<mml:mi mathvariant="normal">o</mml:mi>
<mml:mi mathvariant="normal">t</mml:mi>
<mml:mi mathvariant="normal">a</mml:mi>
<mml:mi mathvariant="normal">n</mml:mi>
<mml:mtext>&#x2009;</mml:mtext>
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</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mi mathvariant="normal">v</mml:mi>
</mml:mfrac>
</mml:mrow>
</mml:math>
<label>(1)</label>
</disp-formula>or<disp-formula id="e2">
<mml:math id="m4">
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:mi mathvariant="normal">d</mml:mi>
<mml:mi mathvariant="normal">x</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi mathvariant="normal">d</mml:mi>
<mml:mi mathvariant="normal">z</mml:mi>
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<mml:mo>&#x3d;</mml:mo>
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<mml:mo>&#x2061;</mml:mo>
<mml:mi mathvariant="normal">&#x3b8;</mml:mi>
<mml:mo>,</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mi mathvariant="normal">d</mml:mi>
<mml:mi mathvariant="normal">&#x3b8;</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi mathvariant="normal">d</mml:mi>
<mml:mi mathvariant="normal">z</mml:mi>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="normal">v</mml:mi>
<mml:mi mathvariant="normal">z</mml:mi>
</mml:msub>
<mml:mo>&#x2061;</mml:mo>
<mml:mi>tan</mml:mi>
<mml:mo>&#x2061;</mml:mo>
<mml:mi mathvariant="normal">&#x3b8;</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi mathvariant="normal">v</mml:mi>
<mml:mi mathvariant="normal">x</mml:mi>
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</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mi mathvariant="normal">v</mml:mi>
</mml:mfrac>
</mml:mrow>
</mml:math>
<label>(2)</label>
</disp-formula>with initial conditions<disp-formula id="equ1">
<mml:math id="m5">
<mml:mrow>
<mml:mi mathvariant="normal">x</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:msub>
<mml:mi mathvariant="normal">x</mml:mi>
<mml:mn>0</mml:mn>
</mml:msub>
<mml:mo>,</mml:mo>
<mml:mi mathvariant="normal">z</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:msub>
<mml:mi mathvariant="normal">z</mml:mi>
<mml:mn>0</mml:mn>
</mml:msub>
<mml:mo>,</mml:mo>
<mml:mtext>&#x2003;</mml:mtext>
<mml:mi mathvariant="normal">&#x3b8;</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:msub>
<mml:mi mathvariant="normal">&#x3b8;</mml:mi>
<mml:mn>0</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</disp-formula>
</p>
<p>The variable <inline-formula id="inf3">
<mml:math id="m6">
<mml:mrow>
<mml:mi mathvariant="normal">&#x3b8;</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula> is the angle between the tangent to the ray and the z-axis, v is the wave velocity and <inline-formula id="inf4">
<mml:math id="m7">
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="normal">v</mml:mi>
<mml:mi mathvariant="normal">x</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> and <inline-formula id="inf5">
<mml:math id="m8">
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="normal">v</mml:mi>
<mml:mi mathvariant="normal">z</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> are partial derivatives of velocity with respect to the x and z coordinates, respectively (z is positive downward). The point (<inline-formula id="inf6">
<mml:math id="m9">
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="normal">x</mml:mi>
<mml:mn>0</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>; <inline-formula id="inf7">
<mml:math id="m10">
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="normal">z</mml:mi>
<mml:mn>0</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>) is the source location and <inline-formula id="inf8">
<mml:math id="m11">
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="normal">&#x3b8;</mml:mi>
<mml:mn>0</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> is the ray take-off angle. <xref ref-type="disp-formula" rid="e1">Formula 1</xref> is solved with x as the integration variable when the ray path is near-horizontal, and <xref ref-type="disp-formula" rid="e2">Formula 2</xref> is solved with z as the integration variable when the ray path is near-vertical (<xref ref-type="bibr" rid="B70">Zelt &#x26; Smith, 1992</xref>).</p>
<p>Assuming that the traveltime inversion is a linear problem around a starting model, its equation is expressed as:<disp-formula id="e3">
<mml:math id="m12">
<mml:mrow>
<mml:mi mathvariant="normal">A</mml:mi>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mo>&#x394;</mml:mo>
<mml:mi mathvariant="normal">m</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mo>&#x394;</mml:mo>
<mml:mi mathvariant="normal">t</mml:mi>
</mml:mrow>
</mml:math>
<label>(3)</label>
</disp-formula>where A is the matrix of partial derivatives of the traveltime with respect to the model parameters, &#x394;m is the perturbation vector of the model parameters (velocity or interface depth), and &#x394;t is the traveltime residual vector. Based on a layered structure model, <xref ref-type="bibr" rid="B70">Zelt and Smith (1992)</xref> proposed a ray inversion method to simultaneously invert two-dimensional velocities and interface structures using damped least squares. The final damped least squares solution for traveltime inversion is:<disp-formula id="e4">
<mml:math id="m13">
<mml:mrow>
<mml:mo>&#x394;</mml:mo>
<mml:mi mathvariant="normal">m</mml:mi>
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<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:msup>
<mml:mi mathvariant="normal">A</mml:mi>
<mml:mi mathvariant="normal">T</mml:mi>
</mml:msup>
<mml:msubsup>
<mml:mi mathvariant="normal">C</mml:mi>
<mml:mi mathvariant="normal">t</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msubsup>
<mml:mi mathvariant="normal">A</mml:mi>
<mml:mo>&#x2b;</mml:mo>
<mml:mi mathvariant="normal">D</mml:mi>
<mml:msubsup>
<mml:mi mathvariant="normal">C</mml:mi>
<mml:mi mathvariant="normal">m</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msubsup>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msup>
<mml:msup>
<mml:mi mathvariant="normal">A</mml:mi>
<mml:mi mathvariant="normal">T</mml:mi>
</mml:msup>
<mml:mtext>&#x2009;</mml:mtext>
<mml:msubsup>
<mml:mi mathvariant="normal">C</mml:mi>
<mml:mi mathvariant="normal">t</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msubsup>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mo>&#x394;</mml:mo>
<mml:mi mathvariant="normal">t</mml:mi>
</mml:mrow>
</mml:math>
<label>(4)</label>
</disp-formula>and the model resolution matrix is given by such formula:<disp-formula id="e5">
<mml:math id="m14">
<mml:mrow>
<mml:mi mathvariant="normal">R</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:msup>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:msup>
<mml:mi mathvariant="normal">A</mml:mi>
<mml:mi mathvariant="normal">T</mml:mi>
</mml:msup>
<mml:msubsup>
<mml:mi mathvariant="normal">C</mml:mi>
<mml:mi mathvariant="normal">t</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msubsup>
<mml:mi mathvariant="normal">A</mml:mi>
<mml:mo>&#x2b;</mml:mo>
<mml:mi mathvariant="normal">D</mml:mi>
<mml:msubsup>
<mml:mi mathvariant="normal">C</mml:mi>
<mml:mi mathvariant="normal">m</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msubsup>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msup>
<mml:msup>
<mml:mi mathvariant="normal">A</mml:mi>
<mml:mi mathvariant="normal">T</mml:mi>
</mml:msup>
<mml:mtext>&#x2009;</mml:mtext>
<mml:msubsup>
<mml:mi mathvariant="normal">C</mml:mi>
<mml:mi mathvariant="normal">t</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msubsup>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mi mathvariant="normal">A</mml:mi>
</mml:mrow>
</mml:math>
<label>(5)</label>
</disp-formula>
</p>
<p>Here A is the matrix of partial derivatives of the travel time with respect to the model parameters; D is the global damping factor, whose value determines the resolution of the model and the trade-off between stability and the magnitude of the parameter perturbation; C<sub>t</sub> and C<sub>m</sub> are the estimated diagonal data matrix and diagonal model covariance matrix, respectively. The diagonal elements of the resolution matrix R range between zero and one and indicate the degree of averaging or linear dependence of the true model as represented by the inverted model (<xref ref-type="bibr" rid="B70">Zelt and Smith, 1992</xref>).</p>
<p>The Pg and P1 traveltime data were used to invert the shallow structure of the upper crust above the C1 interface (&#x223c;0&#x2013;18.0&#xa0;km depth), Next, we fix this shallow crustal structure and invert the velocity structure of the layer between the C1 and C2 interfaces (&#x223c;18.0&#x2013;29.7&#xa0;km depth) using P2 data. Similarly, we repeat this procedure to invert the velocity structure of the layer between the C2 and C3 interfaces using P3 data, the layer between C3 and the Moho using Pm1 data, the crust-mantle transition layer beneath Altai Mountain from Pm2 data, and finally the top mantle layer from data Pn and PL data. In the practice of the progressive construction layer by layer, we first inverted its average velocity and bottom depth, and then we inverted for its lateral variations in velocities and boundary depth. With this top-down approach, the structure of the lithosphere was finally constructed.</p>
<p>Based on the described method, we repeated forward and inverse modelling until an acceptable fit to observed traveltimes was obtained, thus yielding the final velocity model. The observed and calculated traveltimes for all shot gathers are plotted in <xref ref-type="fig" rid="F3">Figure 3A</xref>, where the observed data are drawn as blue dotted lines and the calculated final velocity model data are dotted as red triangles.</p>
<p>
<xref ref-type="table" rid="T2">Table 2</xref> contains the number of selected data for each seismic phase identified, used for inversion, and also the results of the travel time fit in terms of root mean square (RMS) error and the corresponding chi-squared value &#x3c7;<sup>2</sup> (<xref ref-type="bibr" rid="B70">Zelt and Smith, 1992</xref>; <xref ref-type="bibr" rid="B71">Zelt and White, 1995</xref>). To complement and traveltime modeling, amplitudes were calculated using dynamic ray tracing (<xref ref-type="bibr" rid="B5">Cerveny and Psencik, 1984</xref>). We&#x2019;ve also computed the ray-path coverage and synthetic seismogram for each shot to check the reliability of our final velocity model and reproduce previous seismic events such as Pg, Pn and other reflections.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Ray tracing details for individual seismic phases.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Seismic phase</th>
<th align="left">Number of picked data</th>
<th align="left">RMS s)</th>
<th align="left">&#x3c7;2</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Pg</td>
<td align="left">1,632</td>
<td align="left">0.183</td>
<td align="left">3.459</td>
</tr>
<tr>
<td align="left">P1</td>
<td align="left">965</td>
<td align="left">0.139</td>
<td align="left">0.686</td>
</tr>
<tr>
<td align="left">P2</td>
<td align="left">1,137</td>
<td align="left">0.154</td>
<td align="left">0.706</td>
</tr>
<tr>
<td align="left">P3</td>
<td align="left">1,185</td>
<td align="left">0.126</td>
<td align="left">0.457</td>
</tr>
<tr>
<td align="left">Pm1</td>
<td align="left">1917</td>
<td align="left">0.151</td>
<td align="left">0.893</td>
</tr>
<tr>
<td align="left">Pm2</td>
<td align="left">244</td>
<td align="left">0.145</td>
<td align="left">0.577</td>
</tr>
<tr>
<td align="left">PL</td>
<td align="left">631</td>
<td align="left">0.146</td>
<td align="left">0.634</td>
</tr>
<tr>
<td align="left">Pn</td>
<td align="left">280</td>
<td align="left">0.102</td>
<td align="left">0.502</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>RMS: root-mean-square error; &#x3c7;<sup>2</sup> is the chi-squared value which can be described as the formula <inline-formula id="inf9">
<mml:math id="m15">
<mml:mrow>
<mml:msup>
<mml:mi mathvariant="normal">&#x3c7;</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mrow>
<mml:mi>n</mml:mi>
</mml:mrow>
</mml:mfrac>
<mml:mrow>
<mml:munderover>
<mml:mstyle displaystyle="true">
<mml:mo>&#x2211;</mml:mo>
</mml:mstyle>
<mml:mn>1</mml:mn>
<mml:mi>n</mml:mi>
</mml:munderover>
<mml:mfrac>
<mml:mrow>
<mml:msup>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:msubsup>
<mml:mi>t</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>c</mml:mi>
</mml:msubsup>
<mml:mo>&#x2212;</mml:mo>
<mml:msubsup>
<mml:mi>t</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>o</mml:mi>
</mml:msubsup>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mrow>
<mml:mrow>
<mml:msubsup>
<mml:mi>u</mml:mi>
<mml:mi>i</mml:mi>
<mml:mn>2</mml:mn>
</mml:msubsup>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula>, where the <inline-formula id="inf10">
<mml:math id="m16">
<mml:mrow>
<mml:msubsup>
<mml:mi>t</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>c</mml:mi>
</mml:msubsup>
</mml:mrow>
</mml:math>
</inline-formula> is the i-th computed travel-time data, <inline-formula id="inf11">
<mml:math id="m17">
<mml:mrow>
<mml:msubsup>
<mml:mi>t</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>o</mml:mi>
</mml:msubsup>
</mml:mrow>
</mml:math>
</inline-formula> is the i-th observed travel-time data, and <inline-formula id="inf12">
<mml:math id="m18">
<mml:mrow>
<mml:msub>
<mml:mi>u</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> is the i-th uncertainty travel-time data corresponding to the observed data.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s5-2">
<title>Reliability tests</title>
<p>To verify the lateral resolution of the preferred model, we carried out a test similar to the classical checkerboard test, whose procedure was described by <xref ref-type="bibr" rid="B79">Zhang et al. (2011)</xref>. We first add &#xb1;0.3&#xa0;km/s alternating velocity perturbations to each velocity node and &#xb1;1.0&#xa0;km depth perturbations (<xref ref-type="fig" rid="F4">Figure 4B</xref>) to each depth node of the initial crustal velocity model (<xref ref-type="fig" rid="F4">Figure 4A</xref>); then we computed the synthetic traveltime data for each phase; finally we inverted the velocity and depth perturbations to then obtain the parameter perturbations of the last computed model by subtracting the starting model (<xref ref-type="fig" rid="F4">Figure 4C</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Reliability assessment of the final seismic velocity model. <bold>(A)</bold>: the initial homogenious velocity model; <bold>(B)</bold>. the velocity and depth perturbation model, for which the positive and negative velocity perturbation of 0.3&#xa0;km/s are alternatively added to the velocity nodes on the initial model, and meanwhile the depth perturbation of 1.0&#xa0;km are alternatively added to the depth nodes on the initial model; <bold>(C)</bold>. the recovered velocity and depth perturbation model; <bold>(D)</bold>. the diagonal elements of resolution matrix for the depth and velocity nodes, where the red triangle indicate the element for depth node, while the black dot indicate the element for velocity node; <bold>(E)</bold>. the ray-path coverage for different shot points; <bold>(F)</bold>. the time-residuals for different shot points.</p>
</caption>
<graphic xlink:href="feart-11-1078434-g004.tif"/>
</fig>
<p>Besides this, to assess the reliability of the inverted two variables on the final velocity model, we illustrated the diagonal elements of resolution matrix R (<xref ref-type="disp-formula" rid="e5">Formula 5</xref>) in <xref ref-type="fig" rid="F4">Figure 4D</xref>, on which the elements for velocity nodes were drawn in black circles and those for depth nodes were drawn in red triangles; the closer the resolution value is to 1.0, the more reliable the final parameter acquired at a particular location. As can be seen, most of the lithospheric structure investigated by the reference DSS profile shows high resolution values close to 1.0.</p>
<p>Therefore we successfully recovered the checkerboard pattern over the entire illuminated area of the lithosphere, although the perturbation amplitudes were somewhat reduced. The structures within the central part of the profile and below Altai Mountain appear to be well recovered and thus more reliable.</p>
<p>The reliability of the final velocity model also depends on the distance between shots, the interval between receivers, and the number of data collected for each phase. The illumination of the lithosphere by ray coverage along the wide-angle seismic profile is shown in <xref ref-type="fig" rid="F4">Figure 4E</xref>; this illustration confirms that most of the profile is covered by a dense seismic ray network and indicates that both the final inverted velocities and the depths at their correspondent positions are successfully illuminated. Finally, the travel-time resudal for each shot gather are plotted in <xref ref-type="fig" rid="F4">Figure 4F</xref>. It has a minor average residual of 0.152&#xa0;s and shows that generally there exist a good match between the computed and observed data, suggesting that our final model based on the travel-time fit has been satisfactorily resolved.</p>
</sec>
</sec>
<sec sec-type="results" id="s6">
<title>Results</title>
<p>The reconstructed P-wave velocity lithospheric structure below the reference profile is shown in <xref ref-type="fig" rid="F5">Figure 5</xref>. The information is completed with the age profile of the study region (<xref ref-type="fig" rid="F5">Figure 5A</xref>) according to the Nd isotopic model (TDM) (<xref ref-type="bibr" rid="B52">Wang et al., 2020</xref>). The results show a 43-55-km-thick crust, a 25&#xa0;km-thick upper mantle layer, and &#x223c;10-km-thick crust-mantle transition layer beneath southern Altai (<xref ref-type="fig" rid="F5">Figure 5B</xref>). This model reveals: 1). A prominent Moho uplift beneath the Yemaquan Arc; 2). Two crustal-scale major LVAs beneath the Almantai suture and Bogda Mountain; and 3). Three shallow HVAs (P velocity of about 6.3&#xa0;km/s) distributed around the Kalatongke, Yemaquan and Kalatage mining areas, respectively.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Reconstructed P-wave velocity model and comparison with other models. <bold>(A)</bold> Nd isotopic model age (T<sub>DM</sub>) profile along the study region (revised from <xref ref-type="bibr" rid="B52">Wang et al., 2020</xref>). <bold>(B)</bold> Final reconstructed P-wave velocity model (velocity values in km/s). <bold>(C)</bold> Velocity perturbation percentage of the final model once subtracted and then divided by the average Vp velocity of the same velocity layer. The white dashed lines denote possible Paleozoic subduction. <bold>(D)</bold> For comparison purposes, this plot includes the neighboring crustal P-wave velocity structure provided by <xref ref-type="bibr" rid="B56">Wang et al. (2003)</xref>. Structures and faults traversed by the profile are indicated on top of the plots; red diamonds mark the location of the Kalatongke and Kalatage mineral deposits to the north and south of the profile, respectively.</p>
</caption>
<graphic xlink:href="feart-11-1078434-g005.tif"/>
</fig>
<p>As mentioned above, the Altai-Alkin crustal velocity profile was also constructed based on DSS data (<xref ref-type="bibr" rid="B56">Wang et al., 2003</xref>). It shows an average crustal thickness of about 50&#xa0;km, and also that the southern Altai Mountain has the thickest crust with a thickness of 56&#xa0;km, followed by Bogda Mountain with a crustal thickness of 54 (<xref ref-type="fig" rid="F5">Figure 5D</xref>). As a whole, our final P-velocity model (<xref ref-type="fig" rid="F5">Figure 5B</xref>) agrees with these characteristics: for example, the average depth of the Moho is 51&#xa0;km; Southern Altai Mountain and Bogda Mountain have thicker crust with a thickness of 51 and 55&#xa0;km, respectively; the Junggar Basin and the Yemaquan Arc have thinner crust with a thickness of 49 and 43&#xa0;km, respectively, and the Moho boundaries have similar geometry. However, compared to the model given by <xref ref-type="bibr" rid="B56">Wang et al. (2003)</xref>, ours provides a high-resolution P-velocity structure: a crust-mantle transition layer with an high-velocity anomaly (HVA), a &#x223c;25&#xa0;km thick lithosphere below the Moho, a significant Moho uplift below the Yemaquan Arc, and a prominent low-velocity anomaly (LVA) of depth 15&#x2013;50&#xa0;km below the upper crust of Bogda Mountain. The Moho uplift revealed by our model around latitude 45.5&#xba;N (<xref ref-type="fig" rid="F5">Figure 5B</xref>), below the Yemaquan Arc, is a clear feature recently verified by <xref ref-type="bibr" rid="B32">Liu et al. (2014)</xref> and <xref ref-type="bibr" rid="B68">Yang et al. (2022)</xref> from receiver functions, when describing the geometry of the crustal interface based on dense short-period seismic data.</p>
<p>The LAB depth of &#x223c;77&#x2013;90&#xa0;km generally agrees with the LAB depth of &#x223c;70&#x2013;100&#xa0;km in the region obtained by <xref ref-type="bibr" rid="B1">An and Shi. (2006)</xref> and depth of &#x223c;50&#x2013;110&#xa0;km given by <xref ref-type="bibr" rid="B82">Pasyanos et al. (2011)</xref> (Litho1.0 model). The significant HVA in the top mantle below the Junggar Basin (<xref ref-type="fig" rid="F5">Figure 5B</xref>) has also been detected by full-wave ambient noise tomography by <xref ref-type="bibr" rid="B34">L&#xfc; et al. (2019)</xref>, showing the Junggar high velocity zone in slices at depths of 42 and 60&#xa0;km.</p>
<p>Besides this, two prominent LVAs at depth of &#x223c;20&#x2013;40&#xa0;km were also detected on both sides of the Junggar Basin by ambient seismic noise tomography (<xref ref-type="bibr" rid="B25">Kong et al., 2021</xref>): the northern mid-lower crustal LVA shows that it subducts northward beneath the Altaids, while the southern one subducts southward beneath the Bogda Mountain. Our final model (<xref ref-type="fig" rid="F5">Figure 5B</xref>) supports these two different LVAs whose shapes fully agree with our results.</p>
</sec>
<sec sec-type="discussion" id="s7">
<title>Discussion</title>
<sec id="s7-1">
<title>Main characteristics of the lithosphere structure by blocks</title>
<sec id="s7-1-1">
<title>Southern Altaids</title>
<p>To show at a glance the main features of the lithospheric structure along the Altai-Tianshan profile, in <xref ref-type="fig" rid="F6">Figure 6</xref> we show both the average Vp and the thickness of crust and lithosphere based on the final P-wave velocity model, while in <xref ref-type="fig" rid="F7">Figure 7</xref> we include the velocity-depth curves extracted for each of the blocks crossed by the reference profile for comparison with the curves deduced for other regions.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Physical parameters for different blocks (highlighted by vertical color bands) based on the final P-wave velocity model. <bold>(A)</bold> Average Vp of the crust. <bold>(B)</bold> Average Vp of the lithosphere. <bold>(C)</bold> Thickness of the crust. <bold>(D)</bold> Thickness of the lithosphere. <bold>(E)</bold> Bouguer gravity anomalies along this profile (extracted from the XGM2019 gravity field model obtained by the Technical University of Munich in 2019). Top: structures and faults traversed by the reference profile; red diamonds mark the location of the Kalatongke and Kalatage mineral deposits to the north and south of the profile, respectively.</p>
</caption>
<graphic xlink:href="feart-11-1078434-g006.tif"/>
</fig>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>
<bold>(A&#x2212;G)</bold> P-wave velocity curves <italic>versus</italic> depth for each of the distinct blocks crossed by the reference profile (thick black lines) compared to the curves deduced for other regions. <bold>(H)</bold> Same for Kalatongke (thick red line) and Kalatage (thick blue line) mining areas. Velocity-depth curves for other tectonic provinces (<xref ref-type="bibr" rid="B8">Christensen and Mooney, 1995</xref>): 1, continental arcs; 2, global average for continent; 3, orogens; 4, extended crust; 5, shields and platforms; 6, rifts. The grey shaded area represents the range of velocities inferred in island arcs from wide-angle seismic surveys (<xref ref-type="bibr" rid="B3">Calvert, 2011</xref>).</p>
</caption>
<graphic xlink:href="feart-11-1078434-g007.tif"/>
</fig>
<p>Our model reveals a deeper LAB below the southern Altaids (<xref ref-type="fig" rid="F6">Figure 6D</xref>), a crust-mantle transition layer (&#x223c;50&#x2013;60&#xa0;km) with high Vp values of 7.2&#x2013;7.4&#xa0;km/s, and also two apparent HVAs located within the middle-crust and the top mantle (<xref ref-type="fig" rid="F5">Figures 5B, C</xref>). The velocity-depth curve for this region (<xref ref-type="fig" rid="F7">Figure 7A</xref>) also shows high Vp values for the crust (6.65&#xa0;km/s) and the rest of the lithosphere (7.25&#xa0;km/s). All of this evidence is consistent with mantle-derived rocks and minerals, such as the alkaline iron-rich high titanium basalt series related to ilmenite deposits, the tholeiitic basalt&#x2013;calc-alkaline series related to copper-ickel deposits, and the ophiolite type rocks with rich Mg and poor Fe characteristic related to chromite deposits (<xref ref-type="bibr" rid="B55">Wang et al., 2013</xref>).</p>
<p>
<xref ref-type="bibr" rid="B20">He et al. (1994)</xref> proposed that Altaids contains a continental margin from the late Precambrian to the early Paleozoic, and that subduction of oceanic crust could have occurred in the Paleozoic (<xref ref-type="bibr" rid="B60">Windley et al., 2002</xref>; <xref ref-type="bibr" rid="B66">Xiao et al. al., 2004</xref>). The mid-lower part (depth &#x3e;10&#xa0;km) of the average Vp curve (<xref ref-type="fig" rid="F7">Figure 7A</xref>) is close to that of the continental arcs and global continent average (<xref ref-type="bibr" rid="B8">Christensen and Mooney, 1995</xref>). This suggests that, despite the strong Paleozoic subduction and orogenic process, it still retains traces of the ancient components of the pre-Early Paleozoic continental crust, confirming that it is a Japanese-type arc (<xref ref-type="bibr" rid="B64">Xiao et al., 2015</xref>; <xref ref-type="bibr" rid="B65">Xiao et al., 2018</xref>).</p>
<p>The slab window caused by the subduction of mid-ocean ridges was used to explain the origin of adakite, Nb-rich basalt, high-Mg andesite and Devonian high-grade metamorphic complexes around southern Altai (<xref ref-type="bibr" rid="B75">Zhao et al., 2006</xref>; <xref ref-type="bibr" rid="B58">Windley et al., 2007</xref>; <xref ref-type="bibr" rid="B48">Sun et al., 2008</xref>; <xref ref-type="bibr" rid="B46">Shen et al., 2010</xref>; <xref ref-type="bibr" rid="B65">Xiao et al., 2018</xref>), and it is believed that there were two oceanic ridge subductions in the late Paleozoic in the southern margin of Altai. Also, there are orogenic gold deposits such as the Kalatongke, Tokuzibayi and Donbastau copper-nickel deposits in the Erqis shear zone in the southern margin of Altai. Chronological studies (e.g., <xref ref-type="bibr" rid="B15">Han et al., 2007</xref>; <xref ref-type="bibr" rid="B26">Li et al., 2007</xref>) show that the above deposits were formed in the Carboniferous-Permian. The ore magma originated from the upper mantle and is the product of upward intrusion or tectonic-magmatic-fluid activity of mafic magma in a post-collisional extensional environment.</p>
</sec>
<sec id="s7-1-2">
<title>Ulungur depression</title>
<p>The Ulungur Depression is the northeastern part of the Junggar Basin (<xref ref-type="fig" rid="F1">Figure 1</xref>), which is a late Paleozoic-Mesozoic and Cenozoic multi-cycle superimposed basin, with rich oil and gas resources (<xref ref-type="bibr" rid="B78">Zhu, 2009</xref>; <xref ref-type="bibr" rid="B7">Chen et al., 2010</xref>). Our velocity model (<xref ref-type="fig" rid="F5">Figures 5B, C</xref>) shows that two LVAs exist within the shallow and lower crust. The former corresponds to the thick sedimentary layer of this place. The latter could be interpreted to mean that the top mantle is quite hot and that there is probably a strong thermal interaction across the Moho boundary, which could be related to the high heat flow observed in the Ulungur depression (<xref ref-type="bibr" rid="B23">Jiang et al., 2019</xref>) compared to other values of the eastern Junggar area.</p>
<p>
<xref ref-type="fig" rid="F6">Figure 6</xref> shows relatively low average Vp values for the crust (6.59&#xa0;km/s) and lithosphere (7.16&#xa0;km/s), respectively. The velocity-depth curve for this region (<xref ref-type="fig" rid="F7">Figure 7B</xref>) also shows that the Vp value of the deepest part of this block (depth&#x3e;25&#xa0;km) is clearly less than that of the global continent average (<xref ref-type="bibr" rid="B8">Christensen and Mooney, 1995</xref>), and it is also close to the curve of orogens.</p>
</sec>
<sec id="s7-1-3">
<title>Yemaquan Arc</title>
<p>The Yemaquan Arc is located between the Almantai and Kalamaili ophiolite belts and is a part of the eastern Junggar orogenic belt (<xref ref-type="fig" rid="F1">Figure 1</xref>). The folded basement of the Yemaquan continental block is a flysch volcanic basin, and its southern continental margin volcanic arc is covered with Devonian acid volcanic and pyroclastic rocks, neritic terrigenous clastic rocks from the late Early Devonian to the Early Carboniferous, and post-collisional alkaline granite bedrock (<xref ref-type="bibr" rid="B30">Li et al., 1990</xref>).</p>
<p>This arc is located in the larger Kalamaili area, where gold deposits represented by the Jinshuiquan, Shuangquan, Nanmingshui and Sujiquandong deposits are developed, forming a set of metallogenic gold systems related to the late Paleozoic collisional orogeny.</p>
<p>
<xref ref-type="bibr" rid="B17">Han et al. (2006)</xref> showed that the Kalamaili granite belt is a huge NW-trending batholith, which is caused by magmatic events in the post-collision extensional environment of late Paleozoic 330&#x2013;280&#xa0;Ma. <xref ref-type="bibr" rid="B73">Zhang et al. (2015)</xref> believed that the Late Carboniferous&#x2013;Permian post-collisional tectonics dominated the major metallogenic systems in this area. These authors proposed that extensional strike-slip structure produced by continental lithospheric delamination and asthenospheric mantle upwelling, crust-mantle magma interaction, and mixed-fluid action is the geodynamic mechanism of metal mineralization in the Karamaili area.</p>
<p>Our model clearly shows that a LVA exists within the middle-lower crust (<xref ref-type="fig" rid="F5">Figure 5B</xref> and especially <xref ref-type="fig" rid="F5">Figure 5C</xref>). This can be attributed to marine sediments or rocks brought to this depth due to Paleozoic subduction. Our model also reveals two apparent HVAs, one shallow near the surface and the another one within the upper mantle (<xref ref-type="fig" rid="F5">Figure 5C</xref>), and a significant Moho uplift (<xref ref-type="fig" rid="F6">Figure 6C</xref>). Based on above geological evidences, we suggest that the LVA, HVAs and Moho uplift of this area could be correlate with Paleozoic post-collision delamination after subduction in this region, and moreover these evidences were probably preserved in the lithosphere due to the lack of strong tectonics during the Mesozoic-Cenozoic period.</p>
<p>Above disclosed clear Moho uplift matches with the imaging results given by <xref ref-type="bibr" rid="B68">Yang et al. (2022)</xref>, and this block has thinnest crust with a minimum thickness of &#x223c;43.0&#xa0;km (<xref ref-type="fig" rid="F6">Figure 6C</xref>), a thicker lithosphere with a maximum thickness of up to 90.0&#xa0;km (<xref ref-type="fig" rid="F6">Figure 6D</xref>), while it has the lowest local Bouger anomaly value of &#x2212;178 mgcal (<xref ref-type="fig" rid="F6">Figure 6E</xref>). This low gravity anomaly agrees with the apparent LVA within the middle-lower crust (<xref ref-type="fig" rid="F5">Figure 5C</xref>), and the low average Vp value of the crust whose minimum is only 6.5&#xa0;km/s (<xref ref-type="fig" rid="F6">Figure 6A</xref>). The corresponding velocity-depth curve (<xref ref-type="fig" rid="F7">Figure 7C</xref>) shows that the Vp value for the deeper part of this block (depth&#x3e;25&#xa0;km) is clearly similar to that of the orogens curve, suggesting a powerful Paleozoic subduction and orogeny around this area.</p>
</sec>
<sec id="s7-1-4">
<title>Junggar basin</title>
<p>This area has a high average Vp value for the lithosphere, whose maximum reaches 7.30&#xa0;km/s (<xref ref-type="fig" rid="F6">Figure 6B</xref>), and a high local Bouguer anomaly value whose maximum is &#x2212;142 mgcal (<xref ref-type="fig" rid="F6">Figure 6E</xref>). Our velocity model shows that, except for the LVA corresponding to the surface sedimentary cover, there are two HVAs below the surface LVA and within the upper mantle (<xref ref-type="fig" rid="F5">Figures 5B, C</xref>).</p>
<p>The upper segment of the Junggar Basin velocity curve (depth &#x3c;30&#xa0;km) is similar to those of the Costa Rican volcanic front (<xref ref-type="bibr" rid="B11">Gazel et al., 2015</xref>) and the British Columbia accreted terrain (<xref ref-type="bibr" rid="B38">Morozov et al., 1998</xref>), while the deeper part (depth &#x3e;30&#xa0;km) of the velocity curve is close to those of the continental arcs or global continental average (green and blue curves in <xref ref-type="fig" rid="F7">Figure 7D</xref>). This implicates that the shallow structure of the ancient continental crust below the Junggar Basin has been modified enormously due to the strong Paleozoic subduction and orogeny in this area.</p>
</sec>
<sec id="s7-1-5">
<title>Bogda Mountain</title>
<p>Previous studies (<xref ref-type="bibr" rid="B13">Guo et al., 2003</xref>; <xref ref-type="bibr" rid="B72">Zhang et al., 2015</xref>) have revealed that Bogda Mountain has successively experienced the back-arc basin splitting in the Early Carboniferous, subduction during the Late Carboniferous, with extension in the Early Permian (<xref ref-type="bibr" rid="B66">Xiao et al., 2004</xref>), until reaching stability in the Middle-Late Permian and finally reactivating due to the long-range effect of the India-Tibet collision since the Neogene.</p>
<p>Our velocity model shows that although there is a HVA near the surface, a significant LVA is found within the middle-lower crust and uppermost mantle (<xref ref-type="fig" rid="F5">Figures 5B, C</xref>). This LVA is consistent with the velocity pattern provided by <xref ref-type="bibr" rid="B25">Kong et al. (2021)</xref>, both of which support the idea that the Paleo-Asian Ocean had subducted southward below the Bogda block (<xref ref-type="bibr" rid="B66">Xiao et al., 2004</xref>; <xref ref-type="bibr" rid="B65">2018</xref>; <xref ref-type="bibr" rid="B27">Li et al., 2022</xref>). Likewise, this block shows a local low average Vp velocity of 6.57&#xa0;km/s for the crust (<xref ref-type="fig" rid="F6">Figure 6A</xref>) together with the lowest velocity of 7.0&#xa0;km/s for the mantle <xref ref-type="fig" rid="F6">Figure 6B</xref>). Furthermore, the upper segment (10&#x2013;30&#xa0;km) of the velocity-depth curve is similar to that of a continental arc, while the velocity for the deeper segment (depth &#x3e;30&#xa0;km) is clearly less than that of the rifts and orogens (<xref ref-type="fig" rid="F7">Figure 7E</xref>). We suppose it indicates that the original deep structure of the lithosphere has been completely modified since the Paleozoic.</p>
</sec>
<sec id="s7-1-6">
<title>Turpan-Hami basin</title>
<p>The Turpan-Hami Basin southeast of Bogda Mountains (<xref ref-type="fig" rid="F1">Figure 1</xref>) is a continental intermountain basin formed by Mesozoic-Cenozoic tectonic movements, especially the northward extrusion of the Indian Plate since the Miocene. It began to be formed from the Late Permian, and experienced complicated stages of tectonic evolution, such as marginal fault depression, fault-depression transition, expansion depression, <italic>etc.</italic>, which caused it to develop thick sedimentary strata (<xref ref-type="bibr" rid="B69">Yu and Fu, 1993</xref>).</p>
<p>Our velocity model shows that in addition to a prominent LVA in the shallow crust, corresponding to a thick sedimentary layer whose maximum thickness reaches 8.0 km, there are also two apparent HVAs within the lower crust and the upper mantle (<xref ref-type="fig" rid="F5">Figure 5C</xref>). This block is characterized by having the minimum value of the Bouger anomaly of &#x2212;202 mgal (<xref ref-type="fig" rid="F6">Figure 6E</xref>), average Vp velocity of 6.56&#xa0;km/s for the crust (<xref ref-type="fig" rid="F6">Figure 6A</xref>), crustal thickness of 48.4&#xa0;km (<xref ref-type="fig" rid="F6">Figure 6C</xref>) and lithospheric thickness of 77.5&#xa0;km (<xref ref-type="fig" rid="F6">Figure 6D</xref>). The upper segment (5&#x2013;30&#xa0;km) of the velocity-depth curve is similar to that of the continental arcs, while the velocity at deeper depth (&#x3e;30&#xa0;km) is close to that of the Costa Rica volcanic front (<xref ref-type="fig" rid="F7">Figure 7F</xref>). Therefore, we deduce that the powerful orogeny and volcanism caused by the subduction of the Tianshan Paleozoic Ocean slab completely modified the original middle-lower crust in this basin.</p>
</sec>
<sec id="s7-1-7">
<title>Dananhu Arc</title>
<p>The Dananhu Arc is a part of the East Tianshan orogenic belt (<xref ref-type="fig" rid="F1">Figure 1</xref>). It is located tectonically at the intersection of the Siberian plate, the Junggar terrane and the Tarim Basin (<xref ref-type="bibr" rid="B59">Windley et al., 1990</xref>; <xref ref-type="bibr" rid="B66">Xiao et al., 2004</xref>; <xref ref-type="bibr" rid="B28">Li et al., 2006</xref>), so it is an important window to study the convergence of ancient plates and the accretion of crustal collages. A series of igneous rocks, intrusive rocks and basic-ultrabasic complexes are widely developed in this island-arc belt, whose ages start from the Middle Ordovician (<xref ref-type="bibr" rid="B66">Xiao et al., 2004</xref>) and last until around the Permian (<xref ref-type="bibr" rid="B28">Li et al., 2006</xref>; <xref ref-type="bibr" rid="B51">Wang et al., 2019</xref>). Studies have shown that during the evolution of this block, it has experienced multiple stages of plate tectonic activity, such as plate subduction and collision, plate convergence-extension, and crustal ocean-land transition (<xref ref-type="bibr" rid="B41">Qin et al., 2002</xref>; <xref ref-type="bibr" rid="B42">Qin et al., 20011</xref>; <xref ref-type="bibr" rid="B6">Chen et al., 2016</xref>).</p>
<p>Our velocity model (<xref ref-type="fig" rid="F5">Figure 5C</xref>) shows HVAs near the surface (depth &#x3c;7.0&#xa0;km) and in the middle-lower crust (depth &#x3e;29.0&#xa0;km) that can be correlated with the southern Kangurge structural belt, along of which there is ophiolite of the Cambrian-Silurian (416&#x2013;494&#xa0;Ma) widely exposed (<xref ref-type="bibr" rid="B31">Li et al., 2020</xref>). We assume that these HVAs suggest the strong orogeny and volcanism due to the northward subduction of the Paleozoic Tianshan Ocean slab.</p>
<p>This block has the maximum value of the Bouger anomaly of &#x2212;137 mgcal (<xref ref-type="fig" rid="F6">Figure 6E</xref>) and high average Vp velocity values of 6.69&#xa0;km/s (<xref ref-type="fig" rid="F6">Figure 6A</xref>) and 7.22&#xa0;km/s (<xref ref-type="fig" rid="F6">Figure 6B</xref>) for the crust and lithosphere, respectively. The middle segment (10&#x2013;31.5&#xa0;km) of the velocity-depth curve is close to that of the continental arcs or rifts, while the Vp value at deeper depth (&#x3e;31.5&#xa0;km) is much greater than that of the Costa Rica volcanic front (<xref ref-type="fig" rid="F7">Figure 7G</xref>). These results support the idea that mantle-derived magma was powerfully introduced into the shallow crust and lower crust due to the Paleozoic subduction and inter-slab collage around the eastern Tianshan area.</p>
</sec>
<sec id="s7-1-8">
<title>On the tectonic evolution</title>
<p>The formation of Altaids is the product of the long-term subduction of the Paleo-Asian Ocean through a complex process dating back to &#x223c;1.0&#xa0;Ga (<xref ref-type="bibr" rid="B24">Khain et al., 2002</xref>) and that continued until &#x223c;250&#xa0;Ma (<xref ref-type="bibr" rid="B58">Windley et al., 2007</xref>; <xref ref-type="bibr" rid="B65">Xiao et al., 2018</xref>). <xref ref-type="fig" rid="F5">Figure 5A</xref> illustrates the Nd isotopic model age (T<sub>DM</sub>) profile along the study region (revised from <xref ref-type="bibr" rid="B52">Wang et al., 2020</xref>), which shows that although most blocks have developed a juvenile crust whose age is generally less than 500&#xa0;Ma, the southern Altai has preserved the oldest crust. This is consistent with the respective velocity-depth curves (<xref ref-type="fig" rid="F7">Figure 7</xref>), which shows that the deeper part velocity-depth curve (depth &#x3e;25&#xa0;km) is close to that of the global average of continent (in blue). On the other hand, those depart part curves (depth &#x3e;25&#xa0;km and in black) of the blocks Yemaquan arc, Bogda Mountain, Tuha basin and Dananhu arc are far from the blue curve, and it suggests the mid-lower crust within these younger blocks has been modified enormously due to the Paleozoic crust-mantle interaction related to subduction and orogeny.</p>
<p>Altaids has a complex paleogeography with multiple islands and seas (<xref ref-type="bibr" rid="B21">Hs&#xfc; et al., 1991</xref>; <xref ref-type="bibr" rid="B62">Xiao et al., 2008</xref>; <xref ref-type="bibr" rid="B39">Pan et al., 2009</xref>); its western segment is a multi-oceanic basin, multiple subduction zone, complex multidirectional accretionary orogeny (<xref ref-type="bibr" rid="B62">Xiao et al., 2008</xref>), and large-scale oroclinal bending during accretionary orogeny (<xref ref-type="bibr" rid="B45">Seng&#xf6;r et al., 1993</xref>; <xref ref-type="bibr" rid="B49">van der Voo, 2004</xref>; <xref ref-type="bibr" rid="B64">Xiao et al., 2015</xref>; <xref ref-type="bibr" rid="B65">2018</xref>).</p>
<p>According to recent results given by <xref ref-type="bibr" rid="B68">Yang et al. (2022)</xref>, a large number of Paleo-Asian oceanic basins may be trapped during supercontinent formation, and hence make up a large proportion of the juvenile continental crust. They proposed that when the Tarim collage joined the amalgamating Kazakhstan and Tuva-Mongol oroclines in the late Permian-middle Triassic, the Junggar ocean have been protected by both the curvilinear oroclinal belt of the Kazakhstan orocline and the rectilinear lines of the northern Tarim (<xref ref-type="bibr" rid="B64">Xiao et al., 2015</xref>; <xref ref-type="bibr" rid="B65">Xiao et al., 2018</xref>), thus the remnant ocean basins in eastern and western Junggar were preserved in the complicated multiple convergence process (<xref ref-type="bibr" rid="B68">Yang et al., 2022</xref>).</p>
<p>
<xref ref-type="fig" rid="F5">Figure 5C</xref> shows that beneath the Yemaquan Arc, ocean slabs subducted northward of the Paleo-Asian Ocean were preserved within the lower crust, which is consistent with the results given by <xref ref-type="bibr" rid="B68">Yang et al. (2022)</xref>; while another southward subducted ocean slab locates beneath Bogda Mountain, according to the geological results given by Xiao el a. (2004) and <xref ref-type="bibr" rid="B27">Li et al. (2022)</xref>. Moreover, we have found significant Moho uplift beneath the Yemaquan Arc (<xref ref-type="fig" rid="F6">Figure 6C</xref>), which could be attributed to uplift of mantle material from the depths due to Paleozoic subduction or delamination.</p>
</sec>
<sec id="s7-1-9">
<title>Implications for the metallogenic mechanism</title>
<p>Orogenic deposits exist along the Erqis shear belt on the southern margin of the Altai (<xref ref-type="fig" rid="F1">Figure 1</xref>, north segment of the profile), such as the Kalatongke copper-nickel deposit and the Tokuzibayi and Donbastao gold deposits. The early Permian Kalatongke copper-nickel sulfide deposit (around the shot point S02, <xref ref-type="fig" rid="F1">Figure 1</xref>) is the largest copper-nickel mine in Xinjiang, and its mineralization is related to mafic-ultramafic rocks. Previous petrological and geochemical studies (<xref ref-type="bibr" rid="B50">Wang et al., 2000</xref>; <xref ref-type="bibr" rid="B17">Han et al., 2006</xref>; <xref ref-type="bibr" rid="B14">Han et al., 2011</xref>; <xref ref-type="bibr" rid="B26">Li et al., 2007</xref>) revealed that the cited deposits were formed in the Carboniferous-Permian and that the ore-forming magma originated from the upper mantle due to ascending intrusion of mafic magma or magmatic-tectonic fluid activity in a post-collision extensional environment.</p>
<p>Our velocity model shows an HVA in the middle crust between 20 and 30&#xa0;km depth, a crust-mantle transition layer, and another HVA in the top mantle (<xref ref-type="fig" rid="F5">Figure 5C</xref>). Also, the Vp value from 7.1 to 7.6&#xa0;km/s corresponding to the deepest section (depth &#x3e;40&#xa0;km) of the velocity-depth curve (thick red line in <xref ref-type="fig" rid="F7">Figure 7H</xref>) is greater than the global average for the continent (thin blue line in <xref ref-type="fig" rid="F7">Figure 7H</xref>). These geophysical data support the earlier mantle-derived metallogenic mechanism, and we hypothesize that the strong convergence and continued northward compression of the Paleoasiatic oceanic plate caused delamination of the lithosphere in this region, leading to upwelling of mantle material from of the asthenosphere and subsequent intrusion into the lower crust and thus forming the crust-mantle transition zone. Hence, ore-bearing magma and hydrothermal fluid outcropped along deep faults and fissures to eventually form widespread copper and nickel deposits on the surface.</p>
<p>In the eastern Tianshan area of Xinjiang (<xref ref-type="fig" rid="F1">Figure 1</xref>, south end of the profile), a large number of Permian mafic-ultramafic plutons developed, forming multiple magmatic copper-nickel sulfide deposits and vanadium-titanium magnetite deposits (<xref ref-type="bibr" rid="B36">Mao et al., 2006</xref>). Previous studies (<xref ref-type="bibr" rid="B37">Mao et al., 2010</xref>; <xref ref-type="bibr" rid="B35">L&#xfc; et al., 2019</xref>; <xref ref-type="bibr" rid="B77">Zhou et al., 2019</xref>) revealed that a series of mafic intrusions (Early Permian) originated in the mantle environment in the Kalatage mining area near the shot point S09 (<xref ref-type="fig" rid="F1">Figure 1</xref>), and also in the Red Sea massive Cu-Zn deposit (Early Devonian) and the Yawan copper-nickel sulphide deposit (Early Permian). It is speculated that deep crustal faults and fractures provided the magma upwelling channel.</p>
<p>The Vp value corresponding to the deepest section (depth &#x3e;30&#xa0;km) of the velocity-depth curve for the Kalatage mineral area (thick blue line in <xref ref-type="fig" rid="F7">Figure 7H</xref>) is clearly higher than any other for continental arcs, rifts and Costa Rica volcanic front. Considering the HVAs near the surface and in the lower crust and top mantle (<xref ref-type="fig" rid="F5">Figure 5C</xref>), and the aforementioned ore-forming mechanism for the Kalatage area (<xref ref-type="bibr" rid="B66">Xiao et al., 2004</xref>; <xref ref-type="bibr" rid="B28">Li et al., 2006</xref>; <xref ref-type="bibr" rid="B37">Mao et al., 2010</xref>; <xref ref-type="bibr" rid="B34">L&#xfc; et al., 2019</xref>; <xref ref-type="bibr" rid="B77">Zhou et al., 2019</xref>), we understand that the original deep crust and top mantle undergone a strong modification due to the northward subduction of the Paleozoic Tianshan Ocean slab and the associated orogenic process. In the course of this process, mantle-derived magma and mineral-bearing hydrothermal fluids emerged along deep faults and fractures and then formed mineral deposits around the eastern Tianshan area, such as the Kalatage and Huangshan-Jingerquan copper-nickel mine.</p>
</sec>
</sec>
</sec>
<sec sec-type="conclusion" id="s8">
<title>Conclusion</title>
<p>In this study, we analyze a 637-km-long wide-angle refraction/reflection seismic profile deployed at the Altai-Eastern Tianshan orogenic belt, southern Altaids, in 2018. Based on the reconstructed lithospheric P-wave velocity structure, we draw the following conclusions.<list list-type="simple">
<list-item>
<p>1) The main structural features of the regional lithosphere are a 43-55-km-thick normal crust, a &#x223c;10&#xa0;km-thick crust-mantle transition layer beneath the Altai Mountain, and a &#x223c;25&#xa0;km-thick layer of lithospheric mantle.</p>
</list-item>
<list-item>
<p>2) Clearly identified features include: a prominent Moho uplift below the Yemaquan Island Arc, two major crustal-scale low-velocity anomalies below Yemaquan and Bogda Mountain, and three high-velocity surface anomalies around the Kalatongke, Yemaquan and Kalatage mining areas. Combining these features with complementary geological information, we conclude that subduction of Paleo-Asian Ocean plate, strong mantle upwelling and a powerful orogeny occurred within the explored area in the southern Altaids.</p>
</list-item>
<list-item>
<p>3) High-velocity anomalies in the upper crust and the crust-mantle transition layer imply that magma coming from the deep mantle may be a key factor for regional mineralization around the Central Asian Orogenic Belt, such as the Kalatongke copper-nickel sulfide deposit on the Erqis suture, and the Cu-Zn and copper-nickel sulfide deposits of Kalatage area near the Konggurtage suture. Continued compression of the Paleo-Asian Oceanic plate during the post-collision period may be the cause of widespread and intense tectonic activity, such as lithospheric thickening and delamination, most likely leading to asthenospheric material upwelling and mantle magma underplating into the crust. Hence, the presence of mafic-ultramafic rocks and mantle-derived minerals such as gold, copper and nickel, which are widely distributed in the region.</p>
</list-item>
<list-item>
<p>4) Our results show that the velocity-depth curves for the deeper crust (depth &#x3e;30&#xa0;km) in the southern Altaids and Junggar Basin are similar to those of the continental arcs and global continent average, while the curves for the other blocks in the region, such as Yemaquan Arc, Bogda Mountain, Tuha Basin and Dananhu Arc, keep great dissimilarity with them. This indicates that despite powerful Paleozoic subduction activity, orogeny and volcanism have strongly modified the lower crust in the region, although part of the ancient continental crust was still preserved beneath southern Altaids and Junggar Basin. Moreover, the upper part (depth 5&#x2013;30&#xa0;km) of the velocity-depth curve for the Junggar Basin is close to that of the Costa Rica volcanic front, suggesting that Paleozoic orogenic activity has intensely rebuilt the upper-middle crust below the Junggar Basin.</p>
</list-item>
</list>
</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s9">
<title>Data availability statement</title>
<p>The raw data supporting the conclusion of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s10">
<title>Author contributions</title>
<p>ZB organized the field project, proposed the viewpoint, acquired seismic data, implemented the algorithm, performed data processing, and analyzed the results. LZ and WX were responsible for proposing the point of view, discussing the results and the conclusions. TX was responsible for data processing, analysis of results and graphic illustrations. JB contributed to the analysis and interpretation of the results, as well as to the writing of much of the manuscript.</p>
</sec>
<sec id="s11">
<title>Funding</title>
<p>This work was supported by the National Nature Sciences Foundation of China (42130807, 41888101), the National Key Research and Development Project of China (2017YFC0601206), and the K.C. Wong Education Foundation (GJTD-2019-04).</p>
</sec>
<ack>
<p>We would like to thank the Geophysical Exploration Centre of the China Earthquake Administration, for their efforts in hole-drilling, source triggering, and in the acquisition of field seismic data. We appreciate the guidance, suggestions and discussions with Profs. Laicheng Miao and Xiaobo Tian from the Institute of Geology and Geophysics of the Chinese Academy of Sciences. We are especially grateful to Prof. C.A. Zelt for providing us with the inversion software package used in this study. We would like to thank two reviewers for their insightful criticisms and helpful comments and suggestions that have helped us substantially improve the presentation of this study.</p>
</ack>
<sec sec-type="COI-statement" id="s12">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s13">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s14">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/feart.2023.1078434/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/feart.2023.1078434/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material>
<label>SUPPLEMENTARY FIGURE S1</label>
<caption>
<p>Shot gathers S03-S06, the diagrams also displayed the vertical component of seismic records, which were also reduced with the velocity 6.0&#xa0;km/s.</p>
</caption>
</supplementary-material>
<supplementary-material>
<label>SUPPLEMENTARY FIGURE S2</label>
<caption>
<p>Shot gathers S07-S10, the diagrams also displayed the vertical component of seismic records, which were also reduced with the velocity 6.0&#xa0;km/s.</p>
</caption>
</supplementary-material>
<supplementary-material>
<label>SUPPLEMENTARY FIGURE S3</label>
<caption>
<p>Ray coverage of the DSS profile for all shots.</p>
</caption>
</supplementary-material>
<supplementary-material>
<label>SUPPLEMENTARY FIGURE S4</label>
<caption>
<p>Computed synthetic seismograms based on the final velocity model for all shots.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image3.TIF" id="SM1" mimetype="application/TIF" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Image4.TIF" id="SM2" mimetype="application/TIF" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Image2.TIF" id="SM3" mimetype="application/TIF" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Image1.TIF" id="SM4" mimetype="application/TIF" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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