{"title":"德里及其附近地区地震的震源特征:对印度稳定大陆地区地震发生的影响","authors":"","doi":"10.1016/j.nhres.2023.11.003","DOIUrl":null,"url":null,"abstract":"<div><p>Delhi and its surrounding region are among the important intraplate seismically active regions of India. According to the Bureau of Indian Standards, it lies in seismic zone IV and is capable of generating small to moderate earthquakes. This region has also experienced moderate to large earthquakes in the past due to its proximity to the Himalayan arc and its own tectonics. There is an urgent need to assess the source characteristics of earthquakes and their scaling relationships for a reliable and accurate estimation of seismic hazard. Source parameters and their scaling relations have been estimated for this region using well-located small to moderate earthquakes (<em>Mw</em> 2.3–5.1) that occurred during the period from 2000 to 2020. For this purpose, we investigated three components of earthquake waveform data using the <em>ω</em><sup><em>−2</em></sup> source model. The outcomes show the occurrence of low static stress drop (0.5–52.87 bars) in the Delhi region indicating approximately 57% of the events exhibit a stress drop < 10 bars, 27 % of events fall in the range of 10–20 bars, and only 16 % events exhibit stress drop > 20 bars. This observation suggests that the shallow subsurface of the study region may have low-strength material characteristics and a heterogeneous nature. In addition, the Zuniga parameter (<em>ε</em>) is estimated less than 1.0 by analyzing static and apparent stress drops, which infers the partial stress drop model fits very well in the study region. The seismic moment varies from 1.02×10<sup>12</sup> to 1.03×10<sup>16</sup> N.m. for <em>P</em>-wave and 6.46×10<sup>11</sup> Nm to 7.54×10<sup>15</sup> Nm for <em>S</em>-wave. The average seismic source radius lies in the range of 0.1–3.05 km with a ratio {<em>r(p)/r(s)}</em> of 1.5 km in the study region. The estimated values of corner frequency are comparatively lower for the <em>S</em>-wave (1.5–18.2 Hz) than for the <em>P</em>-wave (1.88–19.3 Hz) suggesting the ‘shifting properties’ of the corner frequency corroborated with the theoretical agreement. The seismic energy (<em>E</em>) is estimated using both <em>P</em>- and <em>S</em>-wave separately and its average value varies from 4.28×10<sup>6</sup> to 6.22×10<sup>11</sup> J. The estimated stress drop and seismic moment demonstrate no correlation with each other. Therefore small to moderate-size earthquakes inherently follow the self-similarity behavior. The obtained scaling relationship between Seismic Moment and Corner Frequency is <span><math><mrow><msub><mi>M</mi><mi>o</mi></msub><mrow><mo>=</mo><mn>7.94</mn><mo>∗</mo></mrow><msup><mn>10</mn><mn>15</mn></msup><msubsup><mi>f</mi><mi>c</mi><mrow><mo>−</mo><mn>2.97</mn></mrow></msubsup></mrow></math></span>. The derived scaling relations and source parameters are expected to provide a priori information for the assessment of seismic hazards and are useful in the simulation of strong ground motion characteristics in the region.</p></div>","PeriodicalId":100943,"journal":{"name":"Natural Hazards Research","volume":"4 3","pages":"Pages 448-458"},"PeriodicalIF":0.0000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666592123001130/pdfft?md5=dfd75fcf618077349e5e28a069efa997&pid=1-s2.0-S2666592123001130-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Source characteristics of earthquakes in Delhi and its vicinity: Implications for seismogenesis in the stable continental region of India\",\"authors\":\"\",\"doi\":\"10.1016/j.nhres.2023.11.003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Delhi and its surrounding region are among the important intraplate seismically active regions of India. According to the Bureau of Indian Standards, it lies in seismic zone IV and is capable of generating small to moderate earthquakes. This region has also experienced moderate to large earthquakes in the past due to its proximity to the Himalayan arc and its own tectonics. There is an urgent need to assess the source characteristics of earthquakes and their scaling relationships for a reliable and accurate estimation of seismic hazard. Source parameters and their scaling relations have been estimated for this region using well-located small to moderate earthquakes (<em>Mw</em> 2.3–5.1) that occurred during the period from 2000 to 2020. For this purpose, we investigated three components of earthquake waveform data using the <em>ω</em><sup><em>−2</em></sup> source model. The outcomes show the occurrence of low static stress drop (0.5–52.87 bars) in the Delhi region indicating approximately 57% of the events exhibit a stress drop < 10 bars, 27 % of events fall in the range of 10–20 bars, and only 16 % events exhibit stress drop > 20 bars. This observation suggests that the shallow subsurface of the study region may have low-strength material characteristics and a heterogeneous nature. In addition, the Zuniga parameter (<em>ε</em>) is estimated less than 1.0 by analyzing static and apparent stress drops, which infers the partial stress drop model fits very well in the study region. The seismic moment varies from 1.02×10<sup>12</sup> to 1.03×10<sup>16</sup> N.m. for <em>P</em>-wave and 6.46×10<sup>11</sup> Nm to 7.54×10<sup>15</sup> Nm for <em>S</em>-wave. The average seismic source radius lies in the range of 0.1–3.05 km with a ratio {<em>r(p)/r(s)}</em> of 1.5 km in the study region. The estimated values of corner frequency are comparatively lower for the <em>S</em>-wave (1.5–18.2 Hz) than for the <em>P</em>-wave (1.88–19.3 Hz) suggesting the ‘shifting properties’ of the corner frequency corroborated with the theoretical agreement. The seismic energy (<em>E</em>) is estimated using both <em>P</em>- and <em>S</em>-wave separately and its average value varies from 4.28×10<sup>6</sup> to 6.22×10<sup>11</sup> J. The estimated stress drop and seismic moment demonstrate no correlation with each other. Therefore small to moderate-size earthquakes inherently follow the self-similarity behavior. The obtained scaling relationship between Seismic Moment and Corner Frequency is <span><math><mrow><msub><mi>M</mi><mi>o</mi></msub><mrow><mo>=</mo><mn>7.94</mn><mo>∗</mo></mrow><msup><mn>10</mn><mn>15</mn></msup><msubsup><mi>f</mi><mi>c</mi><mrow><mo>−</mo><mn>2.97</mn></mrow></msubsup></mrow></math></span>. The derived scaling relations and source parameters are expected to provide a priori information for the assessment of seismic hazards and are useful in the simulation of strong ground motion characteristics in the region.</p></div>\",\"PeriodicalId\":100943,\"journal\":{\"name\":\"Natural Hazards Research\",\"volume\":\"4 3\",\"pages\":\"Pages 448-458\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666592123001130/pdfft?md5=dfd75fcf618077349e5e28a069efa997&pid=1-s2.0-S2666592123001130-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Natural Hazards Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666592123001130\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Natural Hazards Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666592123001130","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
德里及其周边地区是印度重要的板块内地震活跃地区之一。根据印度标准局的数据,该地区位于地震带 IV 区,能够引发小到中度地震。由于毗邻喜马拉雅弧和自身的构造,该地区过去也曾发生过中度到大型地震。目前迫切需要评估地震的震源特征及其比例关系,以便可靠、准确地估计地震灾害。我们利用 2000 年至 2020 年期间发生的位置良好的中小规模地震(Mw 2.3-5.1)估算了该地区的震源参数及其比例关系。为此,我们使用 ω-2 震源模型研究了地震波形数据的三个组成部分。结果显示,德里地区出现了较低的静应力下降(0.5-52.87 巴),约有 57% 的事件应力下降为 10 巴,27% 的事件应力下降范围为 10-20 巴,只有 16% 的事件应力下降为 20 巴。这一观察结果表明,研究区域的浅层地下可能具有低强度材料特征和异质性。此外,通过分析静应力降和视应力降,估计 Zuniga 参数(ε)小于 1.0,这推断部分应力降模型非常适合研究区域。P 波的地震力矩为 1.02×1012 至 1.03×1016 牛米,S 波的地震力矩为 6.46×1011 牛米至 7.54×1015 牛米。研究区域的平均震源半径在 0.1-3.05 km 之间,{r(p)/r(s)}之比为 1.5 km。角频率的估计值 S 波(1.5-18.2 Hz)相对低于 P 波(1.88-19.3 Hz),表明角频率的 "移动特性 "与理论一致。利用 P 波和 S 波分别估算了地震能量(E),其平均值在 4.28×106 到 6.22×1011 J 之间。估算的应力降和地震力矩之间没有相关性。因此,中小型地震本质上遵循自相似性行为。地震力矩与角频率之间的比例关系为 Mo=7.94∗1015fc-2.97。得出的缩放关系和震源参数有望为地震灾害评估提供先验信息,并有助于模拟该地区的强地面运动特征。
Source characteristics of earthquakes in Delhi and its vicinity: Implications for seismogenesis in the stable continental region of India
Delhi and its surrounding region are among the important intraplate seismically active regions of India. According to the Bureau of Indian Standards, it lies in seismic zone IV and is capable of generating small to moderate earthquakes. This region has also experienced moderate to large earthquakes in the past due to its proximity to the Himalayan arc and its own tectonics. There is an urgent need to assess the source characteristics of earthquakes and their scaling relationships for a reliable and accurate estimation of seismic hazard. Source parameters and their scaling relations have been estimated for this region using well-located small to moderate earthquakes (Mw 2.3–5.1) that occurred during the period from 2000 to 2020. For this purpose, we investigated three components of earthquake waveform data using the ω−2 source model. The outcomes show the occurrence of low static stress drop (0.5–52.87 bars) in the Delhi region indicating approximately 57% of the events exhibit a stress drop < 10 bars, 27 % of events fall in the range of 10–20 bars, and only 16 % events exhibit stress drop > 20 bars. This observation suggests that the shallow subsurface of the study region may have low-strength material characteristics and a heterogeneous nature. In addition, the Zuniga parameter (ε) is estimated less than 1.0 by analyzing static and apparent stress drops, which infers the partial stress drop model fits very well in the study region. The seismic moment varies from 1.02×1012 to 1.03×1016 N.m. for P-wave and 6.46×1011 Nm to 7.54×1015 Nm for S-wave. The average seismic source radius lies in the range of 0.1–3.05 km with a ratio {r(p)/r(s)} of 1.5 km in the study region. The estimated values of corner frequency are comparatively lower for the S-wave (1.5–18.2 Hz) than for the P-wave (1.88–19.3 Hz) suggesting the ‘shifting properties’ of the corner frequency corroborated with the theoretical agreement. The seismic energy (E) is estimated using both P- and S-wave separately and its average value varies from 4.28×106 to 6.22×1011 J. The estimated stress drop and seismic moment demonstrate no correlation with each other. Therefore small to moderate-size earthquakes inherently follow the self-similarity behavior. The obtained scaling relationship between Seismic Moment and Corner Frequency is . The derived scaling relations and source parameters are expected to provide a priori information for the assessment of seismic hazards and are useful in the simulation of strong ground motion characteristics in the region.