Abstract
Regions in northern India, especially within the Himalayan arc, have experienced frequent disastrous earthquakes. Major seismic activity in India is concentrated along the geologically young and seismo-tectonically active Himalayan arc. An area between the latitude 25° N to 35° N and longitude 72° E to 90° E was considered for the study, which falls between the great Kangra earthquake of 1905 and the great Bihar–Nepal earthquake of 1934. The main objective of the study is to identify the areas of high seismic susceptibility using pattern recognition (PR) exercise. Areas which have experienced high seismicity and have complex tectonics are more prone to much frequent seismic activity in future and are defined as seismically susceptible areas. The pattern recognition technique started with the identification, selection, and extraction of features from the seismicity and tectonic data. Various features were identified from a circle of radius 25 km around each epicenter, known as the central earthquake. These features were then subjected to discriminant analysis, which constituted the training exercise of the PR technique. The discriminant functions obtained from this training exercise were then applied for the decision-making exercise to identify the susceptible areas. This resulted in the identification of susceptible area within the study area in the form of clusters. Various clusters were identified along the Himalayan arc, which are capable of producing damaging earthquake of significant magnitude. A dense cluster was observed between the Main Boundary Thrust (MBT) and the Main Central Thrust (MCT), and Kishtwar Fault in west and Sundernagar Fault in east. The great Kangra earthquake is part of this dense cluster. A great amount of seismicity was also observed around MCT, east of Sundernagar Fault, in Uttarakhand and western Nepal. Epicenters of Uttarkashi (Mw = 6.8) and Chamoli (Mw = 6.7) earthquakes are within this cluster. Other dense clusters were also observed which trends transverse to the Himalayan arc and follows the Kaurik Fault system and in the vicinity of Lake Lighten Fault, in the Kashmir Tibet region.
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References
Bhatia SC, Chetty TRK, Filimonov MB, Gorshkov AI, Rantsman EY, Rao MN (1992) Identification of potential areas for the occurrence of strong earthquakes in Himalayan arc region. Proc Indian Acad Sci (Earth Planet Sci) 101:369–385
Caputo M, Keilis-Borok VI, Oficerova Ranzman E, Rotwain I, Solovjeff A (1980) Pattern recognition of earthquake prone areas in Italy. Phys Earth Planet Inter 305–320
Gelfand IM, Guberman SI, Izvekova ML, Keilis-Borok VI, Ranzman EJ (1972) Criteria of high seismicity, determined by pattern recognition. Tectonophysics 13(1):415–422
Gelfand IM, Guberman SA, Izvekova ML, Keilis-Borok VI, Ranzman E (1973a) Recognition of places where strong earthquake may occur. I. Pamir and Tien Shan. Computational seismology, vol 6 (in Russian)
Gelfand IM, Guberman SA, Kaletskaja MS, Keilis-Borok VI, Ranzman E, Zhidkov MP (1973b) On transfer of criterion of high seismicity from Central Asia to Anatolia and adjacent regions (in Russian)
Gelfand IM, Guberman SA, Kaletskaja MS, Keilis-Borok VI, Ranzman E, Rotwain IM, Zhidkov MP (1974a) Recognition of places where strong earthquakes may occur. II: four regions of Asia Minor and S-E Europe (in Russian)
Gelfand IM, Guberman SA, Keilis-Borok VI, Ranzman E, Rotwain IM, Zhidkov MP (1974b) Recognition of places where strong earthquakes may occur. III: the case when the boundaries of disjunctive knots are unknown (in Russian)
Gelfand IM, Guberman SA, Keilis-Borok VI, Knopoff L, Press F, Rantsman E, Rotwain I, Sadovsky AM (1976) Pattern recognition applied to earthquake epicenters in California. Phys Earth Planet Inter 11(3):227–283
Gorshkov AI, Kuznetsov I, Panza G, Soloviev AA (2000) Identification of future earthquake sources in the Carpatho-Balkan Orogenic Belt using morphostructural criteria. Pure Appl Geophys 157:79–95
Gorshkov AI, Panza GF, Soloviev AA, Aoudia A (2002) Morphostructural zonation and preliminary recognition of seismogenic nodes around the Adria margin in peninsular Italy and Sicily. J Seismol Earthq Eng 4:1–24
Gorshkov AI, Panza GF, Soloviev AA, Aoudia A (2004) Identification of seismogenic nodes in the alps and dinarides. Boll Soc Geol Ital 123:3–18
Gorshkov AI, Mokhtari M, Piotrovskaya EP (2009) The Alborz region: identification of seismogenic nodes with morphostructural zoning and pattern recognition. J Seismol Earthq Eng 11:1–16
Gorshkov AI, Soloviev AA, Jimenez MJ, Fernandez G, Panza GF (2010) Recognition of earthquake prone areas (M ≥ 5.0) in the Iberian Peninsula, Rend. Fis Acc Lincei 21(2):131–162
Gorshkov AI, Soloviev AA, Zharkikh YI (2017) A morphostructural zoning of the mountainous crimea and the possible locations of future earthquakes. J Volcanol Seismol 11(6):407–412
Gorshkov AI, Soloviev AA, Zharkikh YuI (2018) Recognition of strong earthquake prone areas in the Altai–Sayan–Baikal region. Dokl Earth Sci 479(1):412–414
Gvishiani AD, Soloviev AA (1984) Recognition of places on the Pacific coast of the South America where strong earthquakes may occur. Earthq Prediction Res 2:237–243
Gvishiani AD, Zhidkov MP, Soloviev AA (1984) On application of the criteria of high seismicity of Andean mountain belt to Kamchatka. Izv Akad Nauk SSSR Fiz Zemli 1:20–33
Gvishiani A, Gorshkov A, Kossobokov V, Cisternas A, Philip H, Weber C (1987) Identification of seismically dangerous zones in the Pyrenees. Ann Geophys B 5(6):681–690
Gvishiani AD, Gorshkov AI, Ranzman EY, Cisternas A, Soloviev AA (1988) Forecasting the earthquake locations in the regions of moderate seismic activity. Nauka, Moscow, p 187
Mridula, Sinvhal A, Wason HR (2013) A review on pattern recognition techniques for seismic hazard analysis. In: Proceedings of international conference on emerging trends in engineering and technology, pp 854–858
Mridula, Sinvhal A, Wason HR (2014a) Probabilistic seismic hazard assessment in the vicinity of MBT and MCT in western Himalaya. Res Inventy Int J Eng Sci 4(11):21–34
Mridula, Sinvhal A, Wason HR (2014b) Seismic hazard zonation of Himachal Pradesh, Northwest Himalaya. In: National workshop on status of natural hazards in Himachal Pradesh (NHHP-14), 6–8 Nov, 2014 conducted by Central University of Himachal Pradesh, Shahpur, Dharamsala (Abstract)
Mridula, Rajput SS, Sinvhal A, Wason HR (2015) Seismic hazard and vulnerability assessment of Himachal Pradesh and contiguous regions. In: EMI 2015 conference. Stanford University, June 16–19, 2015 (Abstract)
Mridula, Sinvhal A, Wason HR (2016a) Identification of seismically susceptible areas in the western Himalaya using pattern recognition. J Earth Syst Sci 125(4):855–871
Mridula, Sinvhal A, Wason HR, Rajput SS (2016b) Segmentation of main boundary thrust and main central thrust in Western Himalaya for assessment of seismic hazard. Nat Hazards 84(1):383–403
Narula PL, Acharya SK, Banerjee J (2000) Seismotectonic atlas of India and its environs. Geological Survey of India, New Delhi
Novikova O, Gorshkov A (2013) Recognition of earthquake prone areas (M≥6.0) in the Kopet Dagh region using the GIS technology. J Seismol Earthq Eng 15(3):92–99, 31
Novikova O, Gorshkov A (2016) Seismogenic nodes defined by pattern recognition in the central part of the Alpine Himalayan belt. Bull Geol Soc Greece 50:1426–1432
Peresan A, Zuccolo E, Vaccari F, Gorshkov A, Panza GF (2011) Neo-deterministic seismic hazard and pattern recognition techniques: time-dependent scenarios for North-Eastern Italy. Pure Appl Geophys 168:583–607
Peresan A, Gorshkov AI, Soloviev A, Panza GF (2015) The contribution of pattern recognition of seismic and morphostructural data to seismic hazard assessment. Boll Geofis Teorica Appl 56:295–328
Rajput SS, Mridula, Sinvhal A (2014) Vulnerability assessment of area and structures. In: 15th symposium on earthquake engineering, proceedings volume, pp 1099–1108
Rajput SS, Mridula, Sinvhal A, Wason HR, Dixit P (2016) Seismic hazard and risk assessment in Kangra seismogenic source zone. In: 6th international conference on recent advances in geotechnical earthquake engineering & soil dynamics, Noida, India, Aug 1–6, 2016
Rajput SS, Mridula, Sinvhal A, Jakka RS (2017) Seismic hazard and risk assessment of Himachal Pradesh and its contiguous area. In: 14th annual meeting Asia Oceania Geosciences Society in SUNTEC Singapore from 6–11 Aug 2017 (Abstract)
Sinvhal A, Sinvhal H (1992) Seismic modelling and pattern recognition in oil exploration. Kluwer Academic Publisher, Dordrecht, p 178
Sinvhal A, Khattri KN, Sinvhal H, Awasthi AK (1984) Seismic indicators of stratigraphy. Geophysics 48:1196–1212
Sinvhal A, Joshi G, Sinvhal H, Singh VN (1990) A pattern recognition technique for microzonation. In: Proceedings of the ninth symposium on earthquake engineering, pp 24–30
Sinvhal A, Sinvhal H, Joshi G (1991) A valid pattern of microzonation. In: Proceedings of the fourth international conference on seismic zonation, pp 641–648
Soloviev AA, Gorshkov AI (2017) Modelling the dynamics of the block structure and seismicity of the Caucasus. Phys Solid Earth 53(3):321–331
Soloviev AA, Novikova OV, Gorshkov AI, Piotrovskaya EP (2013) Recognition of potential sources of strong earthquakes in the caucasus region using GIS technologies. Dokl Earth Sci 450(2):658–660. https://doi.org/10.1134/S1028334X13060159
Soloviev AA, Gvishiani AD, Gorshkov AI, Dobrovolsky MN, Novikova OV (2014) Recognition of earthquake-prone areas: methodology and analysis of the results. Izv Phys Solid Earth 50(2):151–168. https://doi.org/10.1134/S1069351314020116
Soloviev AA, Gorshkov AI, Soloviev AA (2016) Application of the data on the lithospheric magnetic anomalies in the problem of recognizing the earthquake prone areas. Phys Solid Earth 52(6):803–809
Talebi M, Zare M, Peresan A, Ansari A (2017) Long-term probabilistic forecast for M ≥ 5.0 earthquakes in Iran. Pure Appl Geophys 174:1561–1580
Tuyen NH, Gorshkov AI, Lu NT (2012) Recognition of earthquake-prone areas (M≥5.0) applied for North Vietnam and adjacency. J Sci Earth 34(3):251–265
Varunoday, Gaur VK, Wason HR (1979) Spatial prediction of earthquakes in the Kumaon Himalaya by pattern recognition. Mausam 30:253–264
Vorobieva I, Mandal P, Gorshkov AI (2017) Block-and-fault dynamics modelling of the Himalayan frontal arc: implications for seismic cycle, slip deficit, and great earthquakes. J Asian Earth Sci 148:131–141
Walt CM, Barnard E (2007) Data characteristics that determine classifier performance. SAIEE Afr Res J 98:87–93
Acknowledgements
The authors would like to thank the Indian Meteorological Department, New Delhi, for the epicentral data provided. Author (Swati Singh Rajput) is grateful to the Ministry of Human Resource Development (MHRD) and Department of Earthquake Engineering for the financial and academic support, respectively, provided for the study.
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Rajput, S.S., Jakka, R.S., Sinvhal, A. (2021). Pattern Recognition to Identify Susceptible Areas in Northwestern Himalaya. In: Latha Gali, M., Raghuveer Rao, P. (eds) Geohazards. Lecture Notes in Civil Engineering, vol 86. Springer, Singapore. https://doi.org/10.1007/978-981-15-6233-4_47
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