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001468275 001__ 1468275
001468275 003__ OCoLC
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001468275 019__ $$a1380388384
001468275 020__ $$a9789811985249$$q(electronic bk.)
001468275 020__ $$a9811985243$$q(electronic bk.)
001468275 020__ $$z9811985235
001468275 020__ $$z9789811985232
001468275 0247_ $$a10.1007/978-981-19-8524-9$$2doi
001468275 035__ $$aSP(OCoLC)1380463470
001468275 040__ $$aEBLCP$$beng$$cEBLCP$$dGW5XE$$dYDX
001468275 049__ $$aISEA
001468275 050_4 $$aTD353
001468275 08204 $$a333.91
001468275 1112_ $$aInternational Conference on Hydraulics, Water Resources and Coastal Engineering$$n(26th :$$d2021 :$$cSurat, India)
001468275 24510 $$aClimate change impact on water resources :$$bproceedings of 26th International Conference on Hydraulics, Water Resources and Coastal Engineering (HYDRO 2021) /$$cP. V. Timbadiya, Vijay P. Singh, Priyank J. Sharma, editors.
001468275 2463_ $$aHYDRO 2021
001468275 260__ $$aSingapore :$$bSpringer,$$c2023.
001468275 300__ $$a1 online resource (449 p.).
001468275 4901_ $$aLecture notes in civil engineering ;$$vv. 313
001468275 500__ $$a4 Assessment of Simulated Historical Data
001468275 5050_ $$aIntro -- Preface -- Acknowledgements -- Contents -- About the Editors -- Temporal Networks: A New Approach to Model Non-stationary Hydroclimatic Processes with a Demonstration for Soil Moisture Prediction -- 1 Introduction -- 2 Methodological Approach in Temporal Networks -- 3 Application of the Temporal Network-Based Approach -- 3.1 Study Area and Data Source -- 3.2 Model Performance and Discussion -- 4 Concluding Remarks -- References -- Downscaling of GCM Output Using Deep Learning Techniques -- 1 Introduction -- 2 Study Area and Datasets -- 2.1 Mahanadi Basin
001468275 5058_ $$a2.2 NCEP Reanalysis Datasets -- 2.3 Predictors Selection for Precipitation Prediction -- 2.4 APHRODITE Datasets -- 3 Methodologies -- 3.1 Deep Neural Network (DNN) -- 3.2 Convolutional Neural Network (CNN) -- 3.3 2D CNN -- 3.4 3D CNN -- 3.5 Hybrid Deep Neural Network (Hybrid-DNN) -- 3.6 Performance Evaluation Metrics -- 4 Results and Discussion -- 5 Conclusions -- References -- Application of TVDM in Modeling the Observed Precipitation Over Godavari River Basin, India -- 1 Introduction -- 2 Study Area and Data Source -- 2.1 Godavari River Basin -- 2.2 Data Used
001468275 5058_ $$a2.3 Canadian Earth System Model-Version2 (CanESM2) -- 3 Methodology -- 3.1 Time-Varying Downscaling Model (TVDM) -- 4 Results and Discussions -- 5 Conclusions -- References -- Assessment of Kernel Regression Based Statistically Downscaled Rainfall Over Tapi River Basin, India -- 1 Introduction -- 2 Study Area and Data Source -- 2.1 Tapi River Basin -- 2.2 Data Used -- 3 Results and Discussions -- 3.1 Rainfall Characteristics -- 3.2 Sub-Basin Wise Rainfall Distribution -- 4 Conclusions -- References
001468275 5058_ $$aAnalysis of Uncertainty Due to Climate Change Using REA Approach in Different Regions of Western Ghats, South India -- 1 Introduction -- 2 Study Area -- 3 Material and Methods -- 4 Results and Discussion -- 4.1 REA Weighted Ensemble and Uncertainty Estimation Grid Wise -- 4.2 River Basin Scale REA -- 5 Conclusions -- References -- Assessment of Temperature for Future Time Series Over Lower Godavari Sub-Basin, Maharashtra State, India -- 1 Introduction -- 2 Materials and Method -- 2.1 Downscaling -- 2.2 Study Area and Data Source -- 3 Results and Discussions
001468275 5058_ $$a3.1 Calibration and Validation of the Model -- 4 Conclusions -- References -- Projection of Daily Rainfall States Over Tapi Basin Using CMIP5 and CMIP6-Based Global Climate Model -- 1 Introduction -- 2 Material and Methods -- 2.1 Study Area -- 2.2 Data Used -- 2.3 Methodology -- 3 Results and Analysis -- 4 Conclusions -- References -- Assessment of Precipitation Extremes in Northeast India Under CMIP5 Models -- 1 Introduction -- 2 Study Area and Data Collection -- 2.1 Study Area -- 2.2 Data Collection -- 2.3 Calculated Values of EPIs -- 3 Results and Discussion
001468275 506__ $$aAccess limited to authorized users.
001468275 520__ $$aThis 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.
001468275 650_0 $$aWater-supply$$xEffect of global warming on$$vCongresses.
001468275 650_0 $$aHydrology$$vCongresses.
001468275 650_0 $$aHydraulics$$vCongresses.
001468275 650_0 $$aCoastal engineering$$vCongresses.
001468275 655_0 $$aElectronic books.
001468275 7001_ $$aTimbadiya, P. V.
001468275 7001_ $$aSingh, Vijay P.
001468275 7001_ $$aSharma, Priyank J.
001468275 77608 $$iPrint version:$$aTimbadiya, P. V.$$tClimate Change Impact on Water Resources$$dSingapore : Springer,c2023$$z9789811985232
001468275 830_0 $$aLecture notes in civil engineering ;$$vv. 313.
001468275 852__ $$bebk
001468275 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-8524-9$$zOnline Access$$91397441.1
001468275 909CO $$ooai:library.usi.edu:1468275$$pGLOBAL_SET
001468275 980__ $$aBIB
001468275 980__ $$aEBOOK
001468275 982__ $$aEbook
001468275 983__ $$aOnline
001468275 994__ $$a92$$bISE