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As climate change takes hold, there is an ever-growing need to develop and apply strategies that optimize the use of natural resources, both on land and inwater. This book covers a huge range of strategies that can be applied to various sectors, from forests to flood control. Its aim, as with resource management itself, is to combine economics, policy and science to help rehabilitate and preserve our natural resources. Beginning with papers on carbon sequestration, including the practice of artificial desertification, the topics move on to cover the use of distributed modeling and neural networks in estimating water availability and distribution. Further chapters look at uncertainty analysisapplied to the spatial variation of hydrologic resources, and finally the book covers attempts at estimating meteorological parameters in the context of hydrological variables such as evapo-transpiration from stream flow. Within the next decade, the effects of climate change will be severe, and felt by ordinary human beings. This book proposes a raft of measures that can mitigate, if not reverse, the impact of global warming on the resources we have all come to depend on. Comprehensive overview of new methodologies and computational methods, and impact of man-made structures on natural resources Detailed examinations of such techniques as Clean Development Mechanism, Environmental Impact Assessment, Remote Sensing, GIS and Watershed Management Discusses implications ofclimatic variations which can be used in research projects Includes case studies on methodologies and results from different approaches to hydrologic estimation
INDICE: Impact of Climate Change : Separating the Causes from the Effects.1.Estimation of Carbon Dioxide emission contributing GHG level in Ambient Airof a Metro City : a Case Study for Kolkata.- 2.Impact of Climate Change on the Availability of Virtual Water Estimated with the Help of Distributed Neurogenetic Models.- 3.Use of Forest Index in Estimation of Water Availability due to Climate Change.- 4.Application of Partly Classified Neurogenetic Models to Analyze the Impact of Climatic Uncertainty on Water Footprint.- 5. Impact of Climatic Uncertainty on Water Sequestration of a Subtropical River Basin.- 6.Estimating Spatial Variation of River Discharge in Face of Desertification Induced Uncertainty.- 7.Spatial Variation of Natural Water Resource in 2070 within aRainfed Multi-reservoir River Catchment : Case Study of the Future.- 8.Water Quality Index and Surface Algorithms to Simulate the Impact of Industrialization on Water Quality.- 9.Identification of Water Stressed Regions with the Helpof Continuously Distributed Modified Neurogenetic Models.- 10.Impact of Soil,Landuse and Storage Capacity on River Runoff.- 11.Part : 1 : Estimation of the Spatial Variation of Rainfall by Neural Models and Surface Algorithms.- 12.Part : 2 : Estimation of the Spatial Variation of Streamflow by Neural Models and Surface Algorithms. Part : 3 : Estimation of the Spatial Variation of WaterQuality by Neural Models and Surface Algorithms.- 13.Part : 4 : Estimation ofthe Spatial Variation of Pollution Load from the Results of Part 1,2 & 3.- 14.Determination of Evapotranspiration from Streamflow with the Help of Classified Neurogenetic model.- 15.Determination of Urban and Rural Monsoonal Evapotranspiration by Neurogenetic Models.- Natural Resource Management : Mitigating the Impact.- 16.Accumulation of Carbon Stock through Plantation in Urban Areas.- 17.Conservation of Natural Resources with the Application of Carbon Sequestration and Carbon Economy.- 18.Measurement of Diurnal Carbon Sequestration Rate, Above-Ground Bio-Mass Carbon Potential, Soil Respiration & Soil Carbon in Two Natural Forests of India.- 19.Determination of Adaptive Strategies for Optimum Distribution of Green Water to Mitigate the Impact of Climate Change on Agriculture.
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