Titlebook: Climate Change Impact on Water Resources; Proceedings of 26th P. V. Timbadiya,Vijay P. Singh,Priyank J. Sharma Conference proceedings 2023

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Comparison of Three Trend Detection Methods for Hydrological Parameters of Wainganga Basin, India,gaon and Satrapur stations. But, Spearman’s rank correlation test and Innovative trend techniques report decreasing trend for both the stations. Compared to MK trend test, ITA technique showed good agreement with Spearman’s rank correlation.

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2366-2557 ading experts across the globe.Provides a broad overview plu.This book comprises the proceedings of the 26th International Conference on Hydraulics, Water Resources and Coastal Engineering (HYDRO 2021) focusing on broad spectrum of emerging opportunities and challenges on the impact of climate chang

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Temporal Networks: A New Approach to Model Non-stationary Hydroclimatic Processes with a Demonstratc variables. The approach helps to improve the accuracy of the model performance under a changing climate. As a demonstration, we picked out the slowly changing soil moisture regime at a location and attempted to capture its time-varying characteristics through . based time-varying modelling framewo

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Assessment of Kernel Regression Based Statistically Downscaled Rainfall Over Tapi River Basin, Indi% over the TRB. Further, GCMs overestimate the number of rainy days (RD) and longest spell of consecutive rainy days (CWD) at an annual scale vis-à-vis IMD gridded rainfall dataset. The four-to seven-fold overestimation of CWD and RD is observed during September month compared to June, July, and Aug

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Analysis of Uncertainty Due to Climate Change Using REA Approach in Different Regions of Western Gh profile (lowland, midland, and ghats) of WG are chosen as a criterion for quantifying the uncertainty associated with GCM models and emission scenarios. Irrespective of the topography criteria, the uncertainty associated with GCM is found to be more significant than the scenario uncertainty. The GC