Titlebook: Civil Engineering for Disaster Risk Reduction; Sreevalsa Kolathayar,Indrajit Pal,Arpita Mondal Book 2022 The Editor(s) (if applicable) and

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Kerala Floods 2018: Causative Factors that Transformed Single Event to Multi-hazard Disasterlusion. But rain creating multi-hazardous events is a rare phenomenon in Kerala. This research paper reflects upon the events that unfolded during monsoon of 2018 in the state of Kerala, leading to a death toll of more than 400. The most visible factor is the torrential rainfall, a 200% rainfall dep

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River Flow Analysis—It Is So Easy, but It Isn’t?easing.” This encompasses few logical steps in defining a trend, which is in most of the cases linear. Such procedures give “first hand” predictions of what will happen in the future. It should be emphasized that the presented procedure could lead to the wrong conclusions. This topic will be address

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Cloudburst—A Major Disaster in The Indian Himalayan Statesrom the Bay of Bengal and travel all along the Gangetic plains and finally reach the Himalayas and fall in the form of a torrential downpour. The heavy downpour in hilly areas results in landslides as well as sediment-laden flash-floods. Such floods are with a devastating force that uproots any infr

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Review on Landslide Early Warning System: A Brief History, Evolution, and Controlling Parametersd other man-made activities. The landslides can happen even without human interference, and hence, it can be classified as a natural process. The population expansion in landslide-prone areas demands a better sustainable method for slope protection and landslide prediction. The main objective of thi

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Forecasting Landslides for Disaster Risk Reduction: Process-Based Approaches and Real-Time Field Monve been proposed to derive rainfall thresholds to identify the critical conditions that can initiate landslides. Most of the statistical methods are defined in such a way that it does not depend upon any of the in-situ conditions. Soil moisture plays a key role in the initiation of landslides as the

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Real-Time Monitoring System Based on Wireless Sensor Networks and Remote Sensing Techniques for Landtion, it induces nearby prone areas trans-regionally. Therefore, monitoring landslide-prone areas can help in risk assesment and management to efficiently handle a situation. This paper reports collaborative research activities and results of projects endorsed by ASEAN COSTI and e-Asia JRP. It aims