001451223 000__ 05270cam\a2200577\i\4500
001451223 001__ 1451223
001451223 003__ OCoLC
001451223 005__ 20230310004649.0
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001451223 007__ cr\cn\nnnunnun
001451223 008__ 221115s2022\\\\sz\a\\\\o\\\\\000\0\eng\d
001451223 019__ $$a1350632464$$a1350688683
001451223 020__ $$a9783031120596$$q(electronic bk.)
001451223 020__ $$a3031120590$$q(electronic bk.)
001451223 020__ $$z3031120582
001451223 020__ $$z9783031120589
001451223 0247_ $$a10.1007/978-3-031-12059-6$$2doi
001451223 035__ $$aSP(OCoLC)1350795441
001451223 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dGW5XE$$dEBLCP$$dYDX$$dN$T$$dOCLCF$$dUKAHL$$dOCLCQ
001451223 049__ $$aISEA
001451223 050_4 $$aS594
001451223 08204 $$a631.4/32$$223/eng/20221115
001451223 24500 $$aSoil-water, agriculture, and climate change :$$bexploring linkages /$$cSwatantra Kumar Dubey, Prakash Kumar Jha, Pankaj Kumar Gupta, Aliva Nanda, Vivek Gupta, editors.
001451223 264_1 $$aCham, Switzerland :$$bSpringer,$$c2022.
001451223 300__ $$a1 online resource :$$billustrations (black and white, and color).
001451223 336__ $$atext$$btxt$$2rdacontent
001451223 337__ $$acomputer$$bc$$2rdamedia
001451223 338__ $$aonline resource$$bcr$$2rdacarrier
001451223 4901_ $$aWater science and technology library ;$$vvolume 113
001451223 504__ $$aReferences -- 6 Bivariate Copula Modelling of Precipitation and River Discharge Within the Niger Basin -- 6.1 Introduction -- 6.2 Methodology -- 6.2.1 Study Area and Data -- 6.2.2 Seasonal-Trend Decomposition Using LOESS (STL) -- 6.2.3 Probability Density Functions -- 6.2.4 Copula -- 6.2.5 Goodness of Fit -- 6.3 Results and Discussion -- 6.3.1 Statistical Description -- 6.3.2 Marginal Probability Distribution -- 6.3.3 Bivariate Copula Estimation -- 6.4 Conclusion -- References -- 7 Remote Sensing and High-Throughput Techniques to Phenotype Crops for Drought Tolerance -- 7.1 Introduction
001451223 5050_ $$aUnderstanding Hydrology of Indian Himalayan landscapes- A Review -- Development of a semi-distributed rainfall-runoff model for water budgeting in macropore dominated hilly river basins -- Hydrological Simulation Using Coupled ANN-SCS Approach in Pagladiya Watershed: A Sub-catchment of Brahmaputra River Basin -- Water erosion risks mapping using RUSLE model in the Mohamed Ben Abdelkrim El Khattabi Dam watershed (Central Coastal Rif, Morocco).
001451223 506__ $$aAccess limited to authorized users.
001451223 520__ $$aThis book presents an exploration of linkages among soil-water, agriculture, and climate change with a special focus on thematic areas for assessment, mitigation, and management of natural resources under climate change conditions. This book covers advances in modelling approaches, including machine learning (ML)/ artificial intelligence (AI) applications; GIS and remote sensing; sensors; impacts of climate change on agriculture; subsurface water; contaminants; and socio-economic impacts, which are lacking in a more comprehensive manner in the previous titles. This book encompasses updated information as well as future directions for researchers working in the field of management of natural resources. The goal of this book is to provide scientific evidence to researchers and policymakers and end-to-end value chain practitioners which may help in reducing the overall adverse impacts of climate change on water resources and the related mitigation strategies. This book focuses on the knowledge, modern tools, and techniques, i.e., machine learning, artificial intelligence, etc. for soil-water, agriculture, and climate change. Further, nature-based solutions for management of natural resources with special targets on contaminants, extreme events, disturbances, etc. will be targeted. The book provides readers with the enhanced knowledge for application of engineering principles and economic and regulatory constraints to determine a soil-water, agriculture production action strategy, and select appropriate technologies to implement the strategy for a given data set at a site. It would also cover the application of laboratory, modeling, numerical methods for determination and forecasting of climate change impacts, agriculture production, pollution, soil health, etc. Overall, it provides hydrologists, environmental engineers, administrators, policy makers, consultants, and industrial experts with essential support in effective management of soils health, agricultural productions, and mitigation of extreme climatic events.
001451223 588__ $$aDescription based on print version record.
001451223 650_0 $$aSoil moisture.
001451223 650_0 $$aWater in agriculture.
001451223 650_0 $$aClimatic changes.
001451223 655_0 $$aElectronic books.
001451223 7001_ $$aDubey, Swatantra Kumar,$$eeditor.
001451223 7001_ $$aJha, Prakash Kumar,$$eeditor.
001451223 7001_ $$aGupta, Pankaj Kumar,$$eeditor.
001451223 7001_ $$aNanda, Aliva,$$eeditor.
001451223 7001_ $$aGupta, Vivek,$$eeditor.
001451223 77608 $$iPrint version:$$tSOIL-WATER, AGRICULTURE, AND CLIMATE CHANGE.$$d[Place of publication not identified] : SPRINGER INTERNATIONAL PU, 2022$$z3031120582$$w(OCoLC)1331706701
001451223 830_0 $$aWater science and technology library ;$$vv. 113.
001451223 852__ $$bebk
001451223 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-12059-6$$zOnline Access$$91397441.1
001451223 909CO $$ooai:library.usi.edu:1451223$$pGLOBAL_SET
001451223 980__ $$aBIB
001451223 980__ $$aEBOOK
001451223 982__ $$aEbook
001451223 983__ $$aOnline
001451223 994__ $$a92$$bISE