Geohazards Analysis, Modelling and Forecasting /

This book presents a comprehensive analysis of diverse aspects of geohazards. The growing vulnerability and exposure to failures in risk reduction and policy-making increases the severity of geohazard impacts by many folds. Therefore, detailed geohazard analysis, modelling and forecasting are needed...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Erakunde egilea: SpringerLink (Online service)
Beste egile batzuk: Sandeep (Argitaratzailea), Kumar, Parveen (Argitaratzailea), Mittal, Himanshu (Argitaratzailea), Kumar, Roshan (Argitaratzailea)
Formatua: Baliabide elektronikoa eBook
Hizkuntza:ingelesa
Argitaratua: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edizioa:1st ed. 2023.
Saila:Advances in Natural and Technological Hazards Research, 53
Gaiak:
Sarrera elektronikoa:https://doi.org/10.1007/978-981-99-3955-8
Etiketak: Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
Aurkibidea:
  • Role of active tectonics in the estimation of seismic hazard of an area: A case study of western India
  • Stress Scenario In The North-West Himalaya: What We Learnt From Post-Seismic Stress Changes
  • The crust and upper mantle structure beneath the Bangladesh and its effects on seismic hazard
  • Seismological data quality controls – a synthesis
  • Use of Geophysical techniques in Seismic Hazard Assessment and Microzonation
  • Earthquake response and its implications towards the structural design codes for Himalayan and adjoining regions of India
  • Liquefaction Potential Index (LPI): A Parameter to Assess Liquefaction Hazard
  • Earthquake Precursory Studies Using Radon Time Series Data in Taiwan: An Overview
  • Spatial prediction of earthquake-induced landslide susceptible zones - A case study from Indian Himalaya
  • Tsunamis in the past and recent years over Indian coasts: A review
  • Instrumentation of India’s First Regional Earthquake Early Warning System and Site Characterization of itsStations
  • Overview of Artificial Intelligence (AI) and Machine Learning (ML) in Seismology. .