Probabilistic seismic hazard analysis of the Coimbatore region, Tamil Nadu using a logic-tree approach

IF 1.3 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY
Manoharan Sambath, Sembulichampalayam Sennimalai Chandrasekaran, Sandeep Maithani, Ganapathy Pattukandan Ganapathy
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Abstract

The Coimbatore corporation area is comprised of very densely occupied residential and commercial buildings which are prone to future earthquakes. Probabilistic Seismic Hazard Analysis (PSHA) was carried out for the study region using the Classical Cornell approach and the logic-tree approach. A combination of 45 linear/fault sources and an areal source with a 500 km radius has been considered for the study. An updated earthquake catalogue has been compiled from various works of literature and authorized organizations. The collected earthquake catalogue of various magnitude scales has been homogenized into a uniform moment magnitude scale \(\left({M}_{w}\right)\). Fore-shocks and after-shocks have been removed from independent events using one of the declustering algorithms. The seismicity parameters have been evaluated using the Guttenberg–Richter recurrence law. A hybrid GMPE composed of three attenuation relationships was used to obtain the ground motion parameters for the study region. The contour maps of Peak Ground Acceleration (PGA) and Peak Spectral Acceleration (PSA) for the bed-rock condition have been presented in terms of 10 and 2% Probability of Exceedance (PoE) for the return period of 475 and 2475 yr, respectively. The Uniform Hazard Response Spectra (UHRS) for Coimbatore city has been compared with (IS 1893-I-(2016) Criteria for earthquake resistant design of structures. Part 1: General provisions and buildings; Bureau of Indian Standards). As a result of deaggregation, the predominant hazard has been found within a 100 km distance and no hazards have been observed from a long distance as a controlling scenario from the analysis.

Abstract Image

采用逻辑树方法对泰米尔纳德邦哥印拜陀地区进行概率地震灾害分析
哥印拜陀公司所在区域的住宅和商业建筑非常密集,未来很容易发生地震。采用经典康奈尔方法和逻辑树方法对研究区域进行了概率地震危害分析 (PSHA)。研究考虑了 45 个线性/断层震源和一个半径为 500 千米的区域震源。最新的地震目录是根据各种文献和权威机构编制的。收集到的不同震级的地震目录被统一为统一的矩震级((\left({M}_{w}\right)\)。前震和余震已使用一种去聚类算法从独立事件中剔除。地震参数采用古滕伯格-里希特递推律进行评估。由三种衰减关系组成的混合 GMPE 用于获取研究区域的地动参数。基岩条件下的峰值地面加速度(PGA)和峰值频谱加速度(PSA)等值线图分别以 10%和 2%的超限概率(PoE)表示,重现期分别为 475 年和 2475 年。哥印拜陀城市的统一危害反应谱(UHRS)与(IS 1893-I-(2016)结构抗震设计标准)进行了比较。第 1 部分:第 1 部分:一般规定和建筑物;印度标准局)。经过分解,发现 100 公里范围内存在主要灾害,而作为分析的控制情景,没有观察到远距离的灾害。
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来源期刊
Journal of Earth System Science
Journal of Earth System Science Earth and Planetary Sciences-General Earth and Planetary Sciences
CiteScore
3.20
自引率
5.30%
发文量
226
期刊介绍: The Journal of Earth System Science, an International Journal, was earlier a part of the Proceedings of the Indian Academy of Sciences – Section A begun in 1934, and later split in 1978 into theme journals. This journal was published as Proceedings – Earth and Planetary Sciences since 1978, and in 2005 was renamed ‘Journal of Earth System Science’. The journal is highly inter-disciplinary and publishes scholarly research – new data, ideas, and conceptual advances – in Earth System Science. The focus is on the evolution of the Earth as a system: manuscripts describing changes of anthropogenic origin in a limited region are not considered unless they go beyond describing the changes to include an analysis of earth-system processes. The journal''s scope includes the solid earth (geosphere), the atmosphere, the hydrosphere (including cryosphere), and the biosphere; it also addresses related aspects of planetary and space sciences. Contributions pertaining to the Indian sub- continent and the surrounding Indian-Ocean region are particularly welcome. Given that a large number of manuscripts report either observations or model results for a limited domain, manuscripts intended for publication in JESS are expected to fulfill at least one of the following three criteria. The data should be of relevance and should be of statistically significant size and from a region from where such data are sparse. If the data are from a well-sampled region, the data size should be considerable and advance our knowledge of the region. A model study is carried out to explain observations reported either in the same manuscript or in the literature. The analysis, whether of data or with models, is novel and the inferences advance the current knowledge.
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