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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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發(fā)表于 2025-3-21 17:52:34 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Climate Change Impact on Water Resources
副標(biāo)題Proceedings of 26th
編輯P. V. Timbadiya,Vijay P. Singh,Priyank J. Sharma
視頻videohttp://file.papertrans.cn/228/227406/227406.mp4
概述Comprises select peer-reviewed proceedings of the international conference HYDRO21.Enriches understanding by including contributions from leading experts across the globe.Provides a broad overview plu
叢書(shū)名稱Lecture Notes in Civil Engineering
圖書(shū)封面Titlebook: Climate Change Impact on Water Resources; Proceedings of 26th P. V. Timbadiya,Vijay P. Singh,Priyank J. Sharma Conference proceedings 2023
描述.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 change on water resources. It covers a range of topics, including, but not limited to, climate change assessment and downscaling issues, climate change impact and adaptive measures, influence of climate variability on hydro-climatic variables, impact of climate change on water resources of Indian Rivers, etc. Presenting recent advances in the form of illustrations, tables, and text, the content offers readers insights for their own research. In addition, the book addresses fundamental concepts and studies on the impact of climate change on water resources, making it a valuable resource for both beginners and researchers wanting to further their understanding of hydraulics, water resources and coastal engineering..
出版日期Conference proceedings 2023
關(guān)鍵詞Environmental Impact Assessment; Rainfall and Streamflow Prediction; Urban Flood Modelling; Dam Hazard
版次1
doihttps://doi.org/10.1007/978-981-19-8524-9
isbn_softcover978-981-19-8526-3
isbn_ebook978-981-19-8524-9Series ISSN 2366-2557 Series E-ISSN 2366-2565
issn_series 2366-2557
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Downscaling of GCM Output Using Deep Learning Techniques,o assess the hydrological impacts of global climate change on a regional scale, the output from a GCM must be downscaled to finer resolution. Moreover, regional precipitation simulations can be improved by using physically relevant variables from GCMs at different pressure levels as predictors. In t
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Application of TVDM in Modeling the Observed Precipitation Over Godavari River Basin, India,odavari River Basin (GRB) is considered for demonstrating the results. The General Circulation Model (GCM) outputs from Canadian Earth System Model, version-2 (CanESM2) are considered for the analysis. The observed precipitation is obtained from India Meteorological Department (IMD), Pune. Firstly,
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Assessment of Kernel Regression Based Statistically Downscaled Rainfall Over Tapi River Basin, Indistimation of uncertainty/bias in the downscaled outcomes are essentially required prior to their application for hydrological assessments and decision-making. The kernel regression-based statistical downscaled (KRSD) rainfall data of five GCM models, from Coupled Model Intercomparison Project Phase-
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Impact of Climate Change on Precipitation Extremes in Northeast India Under CMIP5 Models,ence, a great interest has emerged in society for assessing the impacts of climate change under various plausible future scenarios. The north-eastern region of India receives a high amount of rainfall during the monsoon season which brings heavy floods to the region every year. The devastation cause
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發(fā)表于 2025-3-23 09:19:41 | 只看該作者
,Climate Change Impact Assessment on Water Resources–A Review,gement of water resources. Hydro-meteorological events like floods, droughts, cyclones, glacier melting, etc. are occurring frequently nowadays and are of great concern to hydrologist and climate scientists. These events are ignited due to combined effect of climate change, land use and land cover (
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