Titlebook: Hydrological Extremes; River Hydraulics and Ashish Pandey,S.K. Mishra,V. P. Singh Book 2021 The Editor(s) (if applicable) and The Author(s)

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Application of Hydrologic Modelling System (HEC-HMS) for Flood Assessment; Case Study of Kelani Rives taken up for Flood Assessment in Kelani River Basin, Sri Lanka up to Hanwella gauging site using HEC-Hydrologic Modelling System (HEC-HMS) tool. In the study, various available options of HEC-HMS have been considered for evaluation using various goodness of fit criteria, such as NashSutcliffe mode

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Developing Strategies for Mitigating Pluvial Flooding in Gurugram in year 2016 was unexpected and not triggered by the above factors. Type of flooding occurred there is known as pluvial flooding. It happens, when the capacity of local drainage system gets saturated and the system can no more cater to any further surface runoff. The study aims to develop strategie

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Mapping Punjab Flood using Multi-temporal Open-Access Synthetic Aperture Radar Data in Google Earth nds of people get adversely affected by floods in addition to massive biodiversity devastation. Since it is impossible to avoid floods and the after-effects are evident, continuous efforts are in progress to assess and quantify the damages caused by the flood events. With the rapid developments in s

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Meteorological Drought Characteristics in Eastern Region of Indiaeading to water deficit and socioeconomic loss. In this analysis, monthly rainfall data of 113 years for 132 districts located in eastern part of India include the states of Bihar, West Bengal, Jharkhand, Orissa and eastern parts of Uttar Pradesh have been used. The percentage deviation in seasonal

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Meteorological Drought Assessment in Tripura of Humid Northeast India Using EDI1901–2013 of four districts of Tripura were used. The analysis was carried out for premonsoon, monsoon and 6-monthly periods. It is revealed from the study that the Tripura was affected with moderate, severe and extreme droughts during the period of analysis. North Tripura was the worst affected by

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