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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Environ. Sci.</journal-id>
<journal-title>Frontiers in Environmental Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Environ. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-665X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">857739</article-id>
<article-id pub-id-type="doi">10.3389/fenvs.2022.857739</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Environmental Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Coseismic Displacement and Slip Distribution of the 21 May 2021 Mw 6.1 Earthquake in Yangbi, China Derived From InSAR Observations</article-title>
<alt-title alt-title-type="left-running-head">Li et&#x20;al.</alt-title>
<alt-title alt-title-type="right-running-head">Coseismic Displacement of Yangbi Mw6.1 Earthquake</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Yongsheng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1548255/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Li</surname>
<given-names>Yujiang</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/1655917/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liang</surname>
<given-names>Kuan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Hao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jiang</surname>
<given-names>Wenliang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>National Institute of Natural Hazards</institution>, <institution>Ministry of Emergency Management of China</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Key Laboratory of Landslide Risk Early-warning and Control</institution>, <institution>Ministry of Emergency Management of China</institution>, <addr-line>Chengdu</addr-line>, <country>China</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/1383434/overview">Chen Yu</ext-link>, Newcastle University, United&#x20;Kingdom</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/1569610/overview">Lingyun Ji</ext-link>, China Earthquake Administration, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1256938/overview">Chisheng Wang</ext-link>, Shenzhen University, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/846042/overview">Wu Zhu</ext-link>, Chang&#x2019;an University, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Yujiang Li, <email>yujiangli@ninhm.ac.cn</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Environmental Informatics and Remote Sensing, a section of the journal Frontiers in Environmental Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>09</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>10</volume>
<elocation-id>857739</elocation-id>
<history>
<date date-type="received">
<day>19</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>02</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Li, Li, Liang, Li and Jiang.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Li, Li, Liang, Li and Jiang</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&#x20;terms.</p>
</license>
</permissions>
<abstract>
<p>On 21 May 2021, a Mw 6.1 earthquake struck Yangbi County, Yunnan Province, China. In this study, InSAR data from Sentinel-1 SAR images were processed to image the coseismic deformation fields of the Yangbi earthquake. Then, the optimal slip model was obtained by applying the particle swarm optimization method. The interferometry results revealed that the earthquake triggered obvious surface deformation near the epicenter, while the earthquake did not produce an obvious surface rupture zone from field investigation. The optimal slip model suggests that the strike of the seismogenic fault responsible for this event is 139&#xb0;, the dip angle is 81&#xb0;, and the average rake angle is -170&#xb0;. Additionally, the slip was concentrated mainly at depths of 2&#x2013;8&#xa0;km, the maximum dip-slip amount was 0.5 m, and the cumulative seismic moment reached 1.43 &#xd7; 10<sup>18</sup>&#xa0;N&#x22c5;m, equivalent to a Mw 6.1 earthquake. The geodetic and geophysical inversion results demonstrate that the Yangbi earthquake was dominated by a steeply dipping dextral strike-slip rupture. The rupture fault generally strikes NNW-SSE, which is consistent with that of the Weixi-Qiaohou fault, and may be a relatively new fault formed by an E-W-oriented extension of the western boundary of the Sichuan-Yunnan block. Finally, based on the InSAR results in combination with the spatial distribution characteristics of ground fissures and the strong historical earthquakes, we analyzed the tectonic background preceding the Yangbi earthquake and analyzed the relationship between the Yangbi earthquake and strong historical earthquakes in the region, thereby providing empirical evidence for analyzing seismic risk and fault rupture parameters, interpreting seismic deformation characteristics, and better understanding the seismogenic background of the western boundary of the Sichuan-Yunnan&#x20;block.</p>
</abstract>
<kwd-group>
<kwd>Yangbi Mw 6.1 earthquake</kwd>
<kwd>InSAR</kwd>
<kwd>slip distribution</kwd>
<kwd>focal mechanism inversion</kwd>
<kwd>stress change background</kwd>
</kwd-group>
<contract-num rid="cn001">41704051 41772219</contract-num>
<contract-num rid="cn002">2021YFC3001903</contract-num>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">National Key Research and Development Program of China<named-content content-type="fundref-id">10.13039/501100012166</named-content>
</contract-sponsor>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>According to the China Seismic Network, on 21 May 2021, a Mw 6.1 earthquake struck Yangbi County, Yunnan Province, at (25.67&#xb0;E, 99.87&#xb0;N), the depth of hypocenters was 8&#xa0;km (<xref ref-type="bibr" rid="B16">Li C. et&#x20;al., 2021</xref>; <xref ref-type="bibr" rid="B12">Hu et&#x20;al., 2021</xref>). Different research institutions have provided focal mechanism solutions for this earthquake using the global or regional network data (<xref ref-type="table" rid="T1">Table&#x20;1</xref>). This earthquake is generally characterized as a dextral strike-slip event (<xref ref-type="bibr" rid="B20">Liu et&#x20;al., 2021</xref>). Based on the earthquake epicenter, this event occurred along the western boundary of the Sichuan&#x2013;Yunnan block, which is consistent with the movement properties and trends of the Red River and Weixi&#x2013;Qiaohou fault zones (<xref ref-type="fig" rid="F1">Figure&#x20;1</xref>), the latter of which has been characterized by dextral strike-slip movement since the late Quaternary (<xref ref-type="bibr" rid="B4">Chang et&#x20;al., 2016a</xref>; <xref ref-type="bibr" rid="B40">Zhang K. et&#x20;al., 2021</xref>). There are no obvious surface ruptures that have been found in field investigations. Consequently, the identity and geometric characteristics of the seismogenic fault responsible for the Yangbi earthquake need to be further clarified. In particular, intensive research must be conducted to ascertain whether the Weixi&#x2013;Qiaohou fault zone, which represents the closest fault to the epicenter of the Yangbi event or an unknown hidden fault, was responsible for this earthquake, and the characteristics of such a hidden fault must be thoroughly investigated.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Focal mechanisms and fault parameters from different studies.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Source</th>
<th colspan="2" align="center">Epicenter</th>
<th rowspan="2" align="center">Focal mechanisms</th>
<th rowspan="2" align="center">Mag (Mw/Ms)</th>
<th rowspan="2" align="center">Depth (km)</th>
<th rowspan="2" align="center">References</th>
</tr>
<tr>
<th align="center">Lon (&#xb0;E)</th>
<th align="center">Lat (&#xb0;N)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Regional seismic network</td>
<td align="char" char=".">99.87</td>
<td align="char" char=".">25.67</td>
<td align="center">138&#xb0;/82&#xb0;/-161&#xb0;</td>
<td align="left">Mw 6.0</td>
<td align="center">5</td>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="http://www.cea-igp.ac.cn/kydt/278248.html">http://www.cea-igp.ac.cn/kydt/278248.html</ext-link>
</td>
</tr>
<tr>
<td align="left">P-wave</td>
<td align="char" char=".">99.87</td>
<td align="char" char=".">25.67</td>
<td align="center">141&#xb0;/68&#xb0;/-153&#xb0;</td>
<td align="left">Ms 6.4</td>
<td align="center">-</td>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="http://www.cea-igp.ac.cn/kydt/278248.html">http://www.cea-igp.ac.cn/kydt/278248.html</ext-link>
</td>
</tr>
<tr>
<td align="left">Far-field body wave</td>
<td align="char" char=".">100.008</td>
<td align="char" char=".">25.67</td>
<td align="center">135&#xb0;/82&#xb0;/-</td>
<td align="left">Mw6.1</td>
<td align="center">11</td>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="http://www.cea-igp.ac.cn/kydt/278248.html">http://www.cea-igp.ac.cn/kydt/278248.html</ext-link>
</td>
</tr>
<tr>
<td align="left">USGS</td>
<td align="char" char=".">100.016</td>
<td align="char" char=".">25.744</td>
<td align="center">135&#xb0;/82&#xb0;/-165&#xb0;</td>
<td align="left">Mw 6.1</td>
<td align="center">9</td>
<td align="left">
<ext-link ext-link-type="uri" xlink:href="https://earthquake.usgs.gov/earthquakes/eventpage/us7000e532/executive">https://earthquake.usgs.gov/earthquakes/eventpage/us7000e532/executive</ext-link>
</td>
</tr>
<tr>
<td align="left">InSAR</td>
<td align="char" char=".">99.934</td>
<td align="char" char=".">25.644</td>
<td align="center">139&#xb0;/81&#xb0;/-170&#xb0;</td>
<td align="left">Mw 6.1</td>
<td align="center">6</td>
<td align="left">
<xref ref-type="bibr" rid="B34">Yang Z. et&#x20;al., 2021</xref>
</td>
</tr>
<tr>
<td align="left">InSAR</td>
<td align="char" char=".">99.87</td>
<td align="char" char=".">25.67</td>
<td align="center">316&#xb0;/86&#xb0;/-</td>
<td align="left">Mw 6.14</td>
<td align="center">3&#x2013;13</td>
<td align="left">
<xref ref-type="bibr" rid="B40">Zhang K. et&#x20;al., 2021</xref>
</td>
</tr>
<tr>
<td align="left">InSAR</td>
<td align="char" char=".">99.93</td>
<td align="char" char=".">25.64</td>
<td align="center">139&#xb0;/81&#xb0;/-171&#xb0;</td>
<td align="left">Mw 6.1</td>
<td align="center">6</td>
<td align="left">This Study</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Active faults and seismotectonic background of the region surrounding the Yangbi earthquake. The China Earthquake Networks Center provided the locations of historical earthquakes. The yellow dots denote the Yangbi Mw 6.1 mainshock and aftershock (<xref ref-type="bibr" rid="B25">Su et&#x20;al., 2021</xref>).</p>
</caption>
<graphic xlink:href="fenvs-10-857739-g001.tif"/>
</fig>
<p>In recent years, earth observation technologies such as interferometric synthetic aperture radar (InSAR) have been employed to remotely monitor the Earth&#x2019;s surface to quantify global surface microdeformation globally with high precision (<xref ref-type="bibr" rid="B14">Li et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B18">Li K. et&#x20;al., 2021</xref>; <xref ref-type="bibr" rid="B14">Li B. et al., 2020</xref>). In this paper, the InSAR coseismic deformation fields of the Yangbi earthquake were mapped using Sentinel-1 images acquired in terrain observation with progressive scans (TOPS) mode, and the focal mechanism and fault slip distribution were calculated and discussed. Analyzing the focal mechanism of the Yangbi Mw6.1 earthquake has essential theoretical and practical significance for fundamentally understanding the seismotectonic background, the structural deformation mechanism, and the activities along the block boundary in NW Yunnan. In particular, studying the seismotectonic activity in this region is crucial to understanding the tectonic background of the southeastern Qinghai&#x2013;Tibet Plateau.</p>
</sec>
<sec id="s2">
<title>Tectonic Setting</title>
<p>The Yangbi earthquake occurred along the southwestern boundary of the rhombic Sichuan&#x2013;Yunnan block (<xref ref-type="fig" rid="F1">Figure&#x20;1</xref>), which has been forming since the early Cenozoic as a result of the eastward extrusion of the Qinghai&#x2013;Tibet Plateau. During this time, the southeastward motion of the Sichuan&#x2013;Yunnan block resulted in the development of a series of active right-lateral, oblique NW-trending faults in this region, obstructed by the South China block. The Sichuan&#x2013;Yunnan block shifted toward the SE and rotated clockwise around the East Himalayan tectonic junction. Consequently, the Sichuan&#x2013;Yunnan block is the most representative active block (featuring the strongest lateral extrusion) along the eastern margin of the Qinghai&#x2013;Tibet Plateau (Long et&#x20;al<italic>.,</italic> 2021) and, being a research hotspot for studying the movement and tectonic deformation of rigid blocks, is the focus of many investigations on active tectonics and earthquake monitoring and prediction (Chang et&#x20;al<italic>.,</italic> 2016b). The northeastern and eastern boundaries of the Sichuan-Yunnan block are controlled by the Ganzi-Yushu, Xianshuihe-Anninghe-Zemuhe, and Xiaojiang fault segments and other fault zones, all of which are characterized by sinistral strike-slip and high slip rates. In particular, the eastern boundary of this block has a clear structure and frequently experiences earthquakes (<xref ref-type="bibr" rid="B24">Ren et&#x20;al<italic>.,</italic> 2007</xref>).</p>
<p>The Yangbi earthquake occurred in an active fault zone traversing the western boundary of the Sichuan-Yunnan block and is where the Weixi-Qiaohou-Weishan fault connects with the Red River fault, both of which are NW-trending dextral strike-slip faults. The main well-known active segments are situated near the epicenter of the 2021 Yangbi event. As major faults, the Weixi-Qiaohou-Weishan fault and Red River fault control the crustal deformation along the southwestern boundary of the Sichuan-Yunnan block (<xref ref-type="bibr" rid="B30">Wang S. et&#x20;al., 2021</xref>). Using the cut-and-paste (CAP) waveform inversion method (<xref ref-type="bibr" rid="B32">Wang Y. et&#x20;al., 2021a</xref>), the epicenter of the Yangbi earthquake sequence was shown to be approximately 3&#x2013;10&#xa0;km SW along the Weixi&#x2013;Qiaohou fault and the long axis of the aftershock area was reported to trend NW&#x2013;SE.</p>
<p>The Weixi&#x2013;Qiaohou fault is a large-scale boundary fault that starts in northwestern Weixi County and connects with the Red River fault in southern Weishan, spanning approximately 280&#xa0;km with a general strike of NNW&#x2013;SSE (<xref ref-type="fig" rid="F1">Figure&#x20;1</xref>). The fault shows strong late Quaternary activity, which has manifested in new active landforms such as straight fault troughs, clear fault triangles, and fault scarps (Ren et&#x20;al<italic>.,</italic> 2007; <xref ref-type="bibr" rid="B6">Duan et&#x20;al., 2021</xref>). The fault is dominated by dextral strike-slip with a minor normal slip component, and ridges and water systems show apparent synchronous dextral dislocations along the fault (<xref ref-type="bibr" rid="B17">Li D. et&#x20;al., 2021</xref>). Because the historical records of earthquakes in this region are not noteworthy, this area has received little attention for many years. However, many moderately strong earthquakes have recently occurred, such as the 2017 Yangbi Ms5.1 earthquake (25&#xa0;km from the epicenter of the 2021 Yangbi Mw6.1 earthquake), the 2016 Yunlong Ms5.0 earthquake (59&#xa0;km from the epicenter), and the 2013 Eryuan Ms5.5 earthquake (31&#xa0;km away from the epicenter) (<xref ref-type="fig" rid="F1">Figure&#x20;1</xref>). These phenomena suggest that the tectonic activity in this region is gradually increasing.</p>
</sec>
<sec id="s3">
<title>InSAR Coseismic Deformation</title>
<p>The focal mechanisms and waveform inversion results reported by previous studies show that the seismogenic fault that produced the Yangbi earthquake exhibited dextral strike-slip motion (<xref ref-type="bibr" rid="B35">Ye et&#x20;al., 2021</xref>; <xref ref-type="bibr" rid="B40">Yang Z. et&#x20;al., 2021</xref>). However, the overall deformation amplitude is small from field investigation, and there are almost no signs of rupture on the surface. To image the coseismic deformation field generated by this earthquake, the Sentinel-1 satellite equipped with C-band SAR launched by the European Space Agency was employed in this paper. Sentinel-1 descending track 135 and ascending track 99 data with interferometric wide swath (IW) mode were obtained (<xref ref-type="fig" rid="F1">Figure&#x20;1</xref>). Using an automatic seismic deformation monitoring system for Sentinel-1 SAR data (<xref ref-type="bibr" rid="B19">Li Y. et&#x20;al., 2021</xref>), the ascending and descending InSAR coseismic deformation fields were obtained, as shown in <xref ref-type="fig" rid="F2">Figure&#x20;2</xref>. The Advanced Land Observing Satellite Global Digital Surface Model (ALOS World 3D) with a 30-m resolution was used as external digital elevation model (DEM) data to eliminate the phase contribution of undulating terrain (<xref ref-type="bibr" rid="B26">Tadono et&#x20;al., 2014</xref>). Additionally, an adaptive Goldstein filtering algorithm was applied to filter the original interferograms (<xref ref-type="bibr" rid="B11">Goldstein et&#x20;al<italic>.,</italic> 1988</xref>), and the minimum cost flow algorithm was used for phase unwrapping (<xref ref-type="bibr" rid="B5">Chen and Zebker, 2000</xref>). The atmospheric delay error was preliminarily corrected by the Generic Atmospheric Correction Online Service for InSAR (GACOS) method (<xref ref-type="bibr" rid="B36">Yu et&#x20;al<italic>.,</italic> 2018</xref>), and the residual orbit was fitted by linear fitting.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>
<bold>(A)</bold> Coseismic deformation fields of the Yangbi earthquake are calculated from Sentinel-1 descending track 163. <bold>(B)</bold> Coseismic deformation fields calculated from ascending track 99. The red line represents the inferred ruptured fault, and the black dotted lines indicate the cross-sections perpendicular to the inferred&#x20;fault.</p>
</caption>
<graphic xlink:href="fenvs-10-857739-g002.tif"/>
</fig>
<p>The resulting coseismic deformation field based on Sentinel-1 satellite data can clearly describe the spatial distribution and magnitude of deformation caused by the Yangbi earthquake (<xref ref-type="fig" rid="F2">Figure&#x20;2</xref>). The results predominantly indicate that the strike of the fault is NNW&#x2013;SSE, which is consistent with recent aftershock location findings (<xref ref-type="bibr" rid="B25">Su et&#x20;al., 2021</xref>). After correcting the atmospheric contribution, the coseismic interferogram of the descending track in <xref ref-type="fig" rid="F2">Figure&#x20;2A</xref> reflects a clear deformation pattern. The long axis is distributed in the NW&#x2013;SE direction. There are obvious deformation signals distributed on both sides of the inferred fault (the surface to the SW of the fault is moving away from the satellite, while that to the NE is moving toward the satellite). Cross sections perpendicular to the inferred fault were selected to conduct a profile analysis (<xref ref-type="fig" rid="F3">Figure&#x20;3A</xref>), revealing that the maximum deformation in the line-of-sight (LOS) direction on the NE side reached approximately 8&#xa0;cm, while that on the SW side was approximately 5&#xa0;cm. The ascending coseismic interferogram (<xref ref-type="fig" rid="F2">Figure&#x20;2B</xref>) shows an obvious deformation pattern moving toward the satellite in the epicenter area, reaching 5&#xa0;cm in the LOS direction (<xref ref-type="fig" rid="F3">Figure&#x20;3B</xref>). However, the deformation field cannot accurately describe the coseismic deformation characteristics of this strike-slip earthquake, mainly because the azimuth of the ascending track is nearly consistent with the fault strike. Therefore, the SAR sensor is not sensitive enough to capture the deformation signal parallel to the surface movement direction.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>
<bold>(A)</bold> Profile of the coseismic LOS deformation along line A-A&#x2032; in Figure&#x20;2A. <bold>(B)</bold> Profile of the coseismic LOS deformation changes along line B-B&#x2032; in <xref ref-type="fig" rid="F2">Figure&#x20;2B</xref>.</p>
</caption>
<graphic xlink:href="fenvs-10-857739-g003.tif"/>
</fig>
</sec>
<sec id="s4">
<title>Focal Mechanism Inversion</title>
<p>After unwrapping the InSAR interferograms, the data were downsampled using the quadtree method constrained by the data resolution (<xref ref-type="bibr" rid="B21">Lohman and Simons 2005</xref>; <xref ref-type="bibr" rid="B8">Feng et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B9">2019</xref>). The large deformation gradients in the downsampled interferograms are mainly in the areas with large surface deformation, while the deformation gradients are low in the far field (<xref ref-type="fig" rid="F4">Figure&#x20;4</xref>). This downsampled measurement ensures the inversion accuracy and dramatically reduces the computational cost of the inversion. Then, the downsampled deformation fields were employed as inversion constraints, and the geometric parameters and slip distribution of the fault were estimated by a two-step inversion method (<xref ref-type="bibr" rid="B7">Feng et&#x20;al., 2013</xref>). The fault parameters and slip mechanism of the Yangbi earthquake were studied as described&#x20;below.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Quadtree downsampling results of the coseismic deformation fields corresponding to <bold>(A)</bold> descending track 163 in Figure&#x20;2A and <bold>(B)</bold> ascending track 99 in Figure&#x20;2B.</p>
</caption>
<graphic xlink:href="fenvs-10-857739-g004.tif"/>
</fig>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Uncertainties and trade-offs for the nonlinear inversion computed using Monte Carlo analysis.</p>
</caption>
<graphic xlink:href="fenvs-10-857739-g005.tif"/>
</fig>
<sec id="s4-1">
<title>Uniform Slip</title>
<p>We assumed a uniform slip model to determine the fault&#x2019;s geometric parameters of the fault, including epicenter location (latitude/longitude), strike, dip, and top and bottom depths. Then, the rupture slip distribution on the rectangular fault plane was estimated by a nonlinear inversion algorithm (<xref ref-type="bibr" rid="B7">Feng et&#x20;al., 2013</xref>; <xref ref-type="bibr" rid="B14">Li B. et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B33">Yang J. et&#x20;al., 2021</xref>). We used the Particle Swarm Optimization and okada inversion package (PSOKINV) (<xref ref-type="bibr" rid="B7">Feng et&#x20;al., 2013</xref>) to ensure that the source parameters could be successfully retrieved under relatively few parameter constraints. The adaptive function is defined as<disp-formula id="e1">
<mml:math id="m1">
<mml:mrow>
<mml:mi>&#x3c3;</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:msqrt>
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:msup>
<mml:mrow>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>W</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>D</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>G</mml:mi>
<mml:mi>S</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mrow>
<mml:mi>N</mml:mi>
</mml:mfrac>
</mml:mrow>
</mml:msqrt>
<mml:mo>,</mml:mo>
</mml:mrow>
</mml:math>
<label>(1)</label>
</disp-formula>where <italic>G</italic> is Green&#x2019;s function, with the coefficient matrix representing the surface motion in response to 1&#xa0;m of dip-slip on a uniform fault, S is the slip vector at each patch, <italic>W</italic> is the weight matrix, <italic>D</italic> is the observed surface deformation, and <italic>N</italic> is the number of observed deformations (<xref ref-type="bibr" rid="B7">Feng et&#x20;al., 2013</xref>).</p>
<p>To evaluate the reliability of the nonlinear inversion of source parameters, we added Gaussian-distributed error to the original observations to generate 100 perturbed datasets. Then, we performed a Monte Carlo test to estimate the uncertainties and trade-offs for the geometric parameters during the nonlinear inversion (<xref ref-type="bibr" rid="B23">Parsons et&#x20;al., 2006</xref>). The test results (Fig.&#x20;5) revealed that the uncertainties are small and that the trade-offs are strong enough to indicate that the nonlinear inversion estimates are reliable.</p>
<p>The nonlinear inversion results suggest that the major seismogenic fault is a dextral strike-slip fault with a strike of &#x223c;139&#xb0;, a dip of &#x223c;81&#xb0;, and an average rake angle of approximately -173&#xb0;. Moreover, the optimal inverted slip model suggests that coseismic slip was concentrated at a depth of 7.2&#xa0;km with a maximum slip of &#x223c;0.7&#x20;m.</p>
</sec>
<sec id="s4-2">
<title>Distributed Slip</title>
<p>We then conducted a linear inversion to estimate the slip distribution during the Yangbi earthquake and fixed the optimal geometry of the fault plane determined from the uniform slip solution. The fault plane was extended to 24&#xa0;km long and 18&#xa0;km wide, and the size of each slip patch was set to 1&#xa0;km &#xd7; 1&#xa0;km. To prevent physically impossible oscillatory slip and determine the optimal fitting solution, we applied a log function <inline-formula id="inf1">
<mml:math id="m2">
<mml:mrow>
<mml:mi>f</mml:mi>
<mml:mo>(</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> &#x3b4; <inline-formula id="inf2">
<mml:math id="m3">
<mml:mrow>
<mml:mo>,</mml:mo>
<mml:msup>
<mml:mi>a</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mo>)</mml:mo>
<mml:mo>&#x3d;</mml:mo>
<mml:mtext>log</mml:mtext>
<mml:mo>(</mml:mo>
<mml:mi>&#x3c8;</mml:mi>
<mml:mo>&#x2b;</mml:mo>
<mml:mi>&#x3be;</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> to find the optimal dip angle and smoothing factor for the distributed slip model. &#x3be; and <inline-formula id="inf3">
<mml:math id="m4">
<mml:mi>&#x3c8;</mml:mi>
</mml:math>
</inline-formula> represent the residual and slip roughness, respectively, and <inline-formula id="inf4">
<mml:math id="m5">
<mml:mrow>
<mml:msup>
<mml:mi>a</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mrow>
</mml:math>
</inline-formula> and &#x3b4; represent the smoothing factor and dip angle, respectively (<xref ref-type="bibr" rid="B2">Burgmann et&#x20;al., 2002</xref>). According to the literature, the above log function can effectively determine the optimal dip and smoothness coefficient simultaneously (Feng et&#x20;al<italic>.,</italic> 2013).</p>
<p>With normalization, the residual curve is a monotonically decreasing function, while the roughness is a monotonically increasing function. The optimal smoothing factor was determined to be <inline-formula id="inf5">
<mml:math id="m6">
<mml:mrow>
<mml:msup>
<mml:mi>a</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mrow>
</mml:math>
</inline-formula> &#x2248;1.2 (<xref ref-type="fig" rid="F6">Figure&#x20;6</xref>). We set the dip angle in the range of [78&#xb0;, 85&#xb0;] and the smoothing factor in the domain of [0.1 5] and then iterated the dip angle and smoothing factor to perform an additional grid search for the optimal dip. The optimal dip angle and smoothing coefficients were determined by obtaining global minima of 81&#xb0; and 1.2, respectively (<xref ref-type="fig" rid="F7">Figure&#x20;7</xref>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Trade-off curves line the residuals (&#x3be;) and roughness (<inline-formula id="inf6">
<mml:math id="m7">
<mml:mi>&#x3c8;</mml:mi>
</mml:math>
</inline-formula>). The solid line represents the normalized <inline-formula id="inf7">
<mml:math id="m8">
<mml:mrow>
<mml:mtext>log</mml:mtext>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>&#x3c8;</mml:mi>
<mml:mo>&#x2b;</mml:mo>
<mml:mi>&#x3be;</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula>.</p>
</caption>
<graphic xlink:href="fenvs-10-857739-g006.tif"/>
</fig>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Contour map of the log function with variations in the dip and smoothing coefficients (&#x3b1;2). The red star indicates the global minimum.</p>
</caption>
<graphic xlink:href="fenvs-10-857739-g007.tif"/>
</fig>
<p>Finally, we obtained the best-fitting slip model shown in <xref ref-type="fig" rid="F8">Figure&#x20;8</xref>, suggesting that this event ruptured on a dextral strike-slip fault with a strike of &#x223c;139&#xb0;, a dip of &#x223c;81&#xb0;, and an average rake angle of -170&#xb0;. A slip was concentrated mainly at depths of 2&#x2013;8&#xa0;km and spanned a distance of 20&#xa0;km. The maximum amount of slip reached 0.5&#x20;m at a depth of 6&#xa0;km, and the corresponding moment magnitude was Mw 6.1. <xref ref-type="fig" rid="F9">Figure&#x20;9</xref> represents the observed displacements, simulated results derived from the optimal slip model, and residuals between the observation and simulation. Our distributed slip model can sufficiently explain the general deformation pattern from both tracks. There are no notable residual fringes except for some contributions from the atmospheric disturbance in the far field (<xref ref-type="fig" rid="F9">Figures 9C,F</xref>), which suggest that the inversion results are stable and reliable.</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Optimal slip distribution of the Yangbi earthquake. The gray arrows represent the hanging wall&#x2019;s motion direction relative to the footwall.</p>
</caption>
<graphic xlink:href="fenvs-10-857739-g008.tif"/>
</fig>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>
<bold>(A)</bold> and <bold>(D)</bold> Observed coseismic deformation fields for descending track 135 and ascending track 99, respectively. <bold>(B)</bold> and <bold>(E)</bold> Corresponding simulated deformation. <bold>(C)</bold> and <bold>(F)</bold> Corresponding residuals. Positive values represent movement toward the satellite, while negative values represent movement away from the satellite.</p>
</caption>
<graphic xlink:href="fenvs-10-857739-g009.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s5">
<title>Discussion</title>
<sec id="s5-1">
<title>Verification of the Field Investigation Results</title>
<p>Seismic activity produces ground fissures due to either shear or tensile stresses that alter the stress state of rock and soil masses near the Earth&#x2019;s surface (<xref ref-type="bibr" rid="B16">Li C. et&#x20;al., 2021</xref>). To accurately map and quantitatively measure the surface rupture associated with the Yangbi earthquake, we carried out a field investigation around the epicenter of this event. No obvious surface rupture was found, but we discovered that many fresh cracks had formed during the earthquake. By measuring the trends of these fissures in the field, we determined that these fissures trend mostly NW&#x2013;SE, and the fissures show the characteristics of dextral strike-slip. The spatial distribution of crack locations illustrates that the fissured area is roughly distributed in a NW&#x2013;SE strip that is completely consistent with the fault determined from InSAR (<xref ref-type="fig" rid="F10">Figure&#x20;10</xref>). These ground fissures have obvious directionality, and their strikes are consistent with that of the rupturing fault. Therefore, we infer that their locations are controlled by the fault. We selected several representative points for analysis. At points a and b in <xref ref-type="fig" rid="F10">Figure&#x20;10A</xref>, the spatial orientations of the ground fissures are basically consistent with those of the inferred fault (<xref ref-type="fig" rid="F10">Figures 10B,C</xref>). In contrast, those of the ground fissures at points c and d are disordered, with the ground fissures distributed in all directions (<xref ref-type="fig" rid="F10">Figures 10D&#x2013;G</xref>). We stipulate that this irregular distribution results from slope and terrain influences. There are no obvious surface cracks near the Weixi&#x2013;Qiaohou fault, which has a low earthquake intensity. Therefore, the field investigation further verified that the seismogenic structure of the earthquake was a new NW-trending blind&#x20;fault.</p>
<fig id="F10" position="float">
<label>FIGURE 10</label>
<caption>
<p>Remote sensing images of the epicenter of the Yangbi earthquake and its on-site photos of ground fissures. <bold>(A)</bold> Optical image of the earthquake epicenter acquired on 19 November 2020, by the Gaofen-2 sensor, The red dotted line indicates the estimated fault of this event. The solid red line represents the Weixi-Qiao fault <bold>(B)</bold> Field photo of the ground fissure at point a, <bold>(C)</bold> reveals point b <bold>(D)</bold>, <bold>(E)</bold>, <bold>(F)</bold> represent point c, and <bold>(G)</bold> indicates point d.</p>
</caption>
<graphic xlink:href="fenvs-10-857739-g010.tif"/>
</fig>
<fig id="F11" position="float">
<label>FIGURE 11</label>
<caption>
<p>Three-dimensional schematic of the seismogenic fault responsible for the Yangbi earthquake and a DEM of the surrounding terrain.</p>
</caption>
<graphic xlink:href="fenvs-10-857739-g011.tif"/>
</fig>
</sec>
<sec id="s5-2">
<title>Rupture Structure and Seismogenic Mechanism</title>
<p>The Weixi&#x2013;Qiaohou, Red River, Jinshajiang, and Deqin&#x2013;Zhongdian&#x2013;Daju faults constitute the western boundary of the active Sichuan&#x2013;Yunnan block. They, therefore, play essential roles in the formation, evolution, and movement of the block (Li et&#x20;al., 2021). Specifically, the southwestern boundary of the Sichuan&#x2013;Yunnan block exhibits a high strike-slip rate in response to the lateral extrusion of crustal material from the Qinghai&#x2013;Tibet Plateau. The boundary of the block is not a single fault but rather a group of dispersed and complex dextral strike-slip faults (<xref ref-type="bibr" rid="B22">Long et&#x20;al., 2021</xref>). The evolutionary history of these faults reflects mutual structural transformation, stress generation, and strain weakening between them. The tectonic interactions, stresses, and deformation among these faults may constitute the main mechanism of absorbing the eastward extrusion of the Qinghai&#x2013;Tibet Plateau. In this process, some fault activities weaken, and new faults arise with the expansion of existing major faults.</p>
<p>The fault location determined by InSAR and the spatial distribution of relocated aftershocks show that the seismogenic fault of the Yangbi earthquake is far from known active faults and is approximately 4&#x2013;10&#xa0;km from the nearest segment of the Weixi&#x2013;Qiaohou&#x2013;Weishan fault zone (Fig.&#x20;11). According to the characteristics of coseismic deformation, the seismogenic segment belongs to a branch fault at the junction between the Weixi&#x2013;Qiaohou&#x2013;Weishan fault and Red River fault zones and may be a secondary fault of the Weixi&#x2013;Qiaohou&#x2013;Weishan fault (<xref ref-type="bibr" rid="B3">Chang et&#x20;al., 2016b</xref>; <xref ref-type="bibr" rid="B33">Yang J. et&#x20;al., 2021</xref>). The seismogenic fault is associated with and parallel to the Weixi&#x2013;Qiaohou fault. The formation of this structure may be related to the southeastward motion of the Sichuan&#x2013;Yunnan block and the clockwise rotation in SW Yunnan (Fig.&#x20;11). The clockwise rotation in SW Yunnan exerts a drag force on the SW wall of the NW-SE-trending seismogenic fault. This may be the main dynamic cause of this quake event. In addition, the EW extension results in the dip component of the fault (<xref ref-type="bibr" rid="B4">Chang et&#x20;al., 2016a</xref>; <xref ref-type="bibr" rid="B22">Long et&#x20;al., 2021</xref>).</p>
</sec>
<sec id="s5-3">
<title>Stress Change Background of Earthquake Occurrence</title>
<p>The Yangbi event was a strong earthquake that occurred on a secondary fault in the Sichuan&#x2013;Yunnan block. The characteristics of the regional stress field are critical to understanding its seismogenic mechanism. Thus, the focal mechanism solutions of 27 strong historical earthquakes (Mw &#x3e; 6.5) in this region (<xref ref-type="bibr" rid="B14">Li et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B37">Zhang et&#x20;al., 1989</xref>) were utilized to estimate the stress tensor (<xref ref-type="bibr" rid="B10">Gephart and Forsyth, 1984</xref>; <xref ref-type="bibr" rid="B28">Wan, 2015</xref>), and then we obtained the three principal stress directions and stress shape factors on a 0.1&#xb0;&#xd7;0.1&#xb0; grid (<xref ref-type="bibr" rid="B1">Angelier, 1979</xref>).</p>
<p>Using the optimal stress tensor obtained from the method of <xref ref-type="bibr" rid="B14">Li et&#x20;al. (2020)</xref>, the potential rupture plane of future strong earthquakes in the region was determined (<xref ref-type="fig" rid="F12">Figure&#x20;12</xref>). The NW&#x2013;SE-trending seismogenic faults in the vicinity of the Yangbi earthquake epicenter are characterized by dextral strike-slip, which is consistent with the InSAR inversion results (139&#xb0;/81&#xb0;/-170&#xb0;), the focal mechanism parameters derived from seismological data (Long Y. et&#x20;al., 2021; <xref ref-type="bibr" rid="B31">Wang Y. et&#x20;al., 2021b</xref>), and the fault motion characteristics implied by the focal mechanisms of aftershocks (<xref ref-type="bibr" rid="B38">Zhang et&#x20;al., 2022</xref>). The direction of the maximum principal compressive stress and principal compressive strain in the region is NNW&#x2013;SSE (<xref ref-type="bibr" rid="B13">Hu et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B29">Wang and Shen, 2020</xref>), which can effectively explain the seismogenesis of the Yangbi earthquake and the earthquakes in the surrounding area dominated by dextral strike-slip.</p>
<fig id="F12" position="float">
<label>FIGURE 12</label>
<caption>
<p>The potential rupture plane of future strong earthquakes in the region is determined based on historical earthquake focal mechanisms (WQF: Weixi-Qiaohou fault; RRF: Red River fault).</p>
</caption>
<graphic xlink:href="fenvs-10-857739-g012.tif"/>
</fig>
<p>Since the occurrence of the Yangbi earthquake, many studies have focused on the impact of the earthquake on the future seismic risk of the surrounding faults (<xref ref-type="bibr" rid="B34">Yang Z. et&#x20;al., 2021</xref>; <xref ref-type="bibr" rid="B39">Zhang B. et&#x20;al., 2021</xref>), although few studies have addressed the possible relationship between the Yangbi earthquake and strong historical earthquakes in the region. Based on the potential rupture planes of future strong earthquakes shown in <xref ref-type="fig" rid="F13">Figure&#x20;13</xref>, the optimal and auxiliary rupture planes were used as the receiving fault for a stress tensor projection. The maximum Coulomb stress was selected to represent the stress change at the source (<xref ref-type="bibr" rid="B27">Toda and Enescu, 2011</xref>) to analyze the changes in the Coulomb stress on the seismogenic fault caused by strong historical earthquakes. The historical earthquake source model and medium model are referred to <xref ref-type="bibr" rid="B14">Li Y. et&#x20;al. (2020)</xref>. According to the resulting Coulomb stress changes (<xref ref-type="fig" rid="F12">Figure&#x20;12</xref>), strong historical earthquakes produced an obvious stress increase at the epicenter of the Yangbi earthquake, and the stress increment exceeded the stress trigger threshold of 0.1 bar, which promoted the occurrence of the Yangbi earthquake. In addition, we found the northwestern RRF is also within the influence scope of positive Coulomb stress changes, which inferred that the northwestern RRF is an area requiring special attention.</p>
<fig id="F13" position="float">
<label>FIGURE 13</label>
<caption>
<p>Coulomb stress changes in the area surrounding the Yangbi earthquake epicenter and potential rupture planes caused by strong&#x20;historical earthquakes (WQF: Weixi&#x2013;Qiaohou fault; RRF: Red River fault).</p>
</caption>
<graphic xlink:href="fenvs-10-857739-g013.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="conclusion" id="s6">
<title>Conclusion</title>
<p>In this study, the coseismic deformation field produced by the Yangbi earthquake that occurred on 21 May 2021, was derived from Sentinel-1 ascending and descending track data. Taking the deformation fields as constraints, a two-step inversion strategy was applied to estimate the geometric structure and slip distribution of the rupture plane. The PSOKINV method was employed to find the best solution that minimizes the fitting function in the whole parameter domain. The inferred optimal slip model suggests that the rupture surface of the earthquake trends NNW&#x2013;SSE and is predominantly a steeply dipping dextral strike-slip fault. This reveals that the coseismic slip distribution was controlled by secondary faults west of the Weixi&#x2013;Qiaohou fault. The earthquake nucleated at a shallow depth on the rupture plane, and the major seismogenic fault was a dextral strike-slip fault with a strike of &#x223c;139&#xb0;, a dip of &#x223c;81&#xb0; to the southwest, and an average rake angle of -170&#xb0;. A maximum slip of &#x223c;0.5&#x20;m was achieved at a depth of 6&#xa0;km. The cumulative seismic moment reached up to 1.43 &#xd7; 10<sup>18</sup>&#xa0;N&#x22c5;m, equivalent to a magnitude of Mw 6.1. According to the resulting Coulomb stress changes, the strong historical earthquakes produced an obvious stress increase at the epicenter of the Yangbi earthquake and promoted the occurrence of the Yangbi earthquake. The efficient and accurate analysis of the focal mechanism of the Yangbi earthquake is of great significance for interpreting coseismic deformation characteristics and facilitating the rapid deployment of earthquake emergency rescue personnel. Moreover, this work is expected to benefit further research on the geological structure and kinematic mechanism of the Weixi&#x2013;Qiaohou fault and the active prediction of geological disasters.</p>
</sec>
</body>
<back>
<sec id="s7">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in&#x20;the article/Supplementary Material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>YL contributed to the conception of the study, performed the experiment and writen YL contributed to the conception of the study, performed the data analyses and wrote the manuscript KL performed the field inverestment and analyses HL contributed significantly to analysis and manuscript preparation WJ helped perform the analysis with constructive discussions.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>This research is partly supported by research grants from the National Institute of Natural Hazards, MEMC (grant numbers No. ZDJ 2019-17); the National Natural Science Foundation of China (no. 41704051,41772219); National Key Research and Development Program of China (2021YFC3001903) and Gaofen earthquake monitoring and emergency application demonstration (phase II) (31_Y30F09-9001-20/22).</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<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="s11">
<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>
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