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International Journal of Advanced Remote Sensing and GIS
International Journal of Advanced Remote Sensing and GIS (IJARSG, ISSN 2320 – 0243) is an open-access peer-reviewed scholarly journal publishes original research papers, reviews, case study, case reports, and methodology articles in all aspects of Remote Sensing and GIS including associated fields. This Journal commits to working for quality and transparency in its publishing by following standard Publication Ethics and Policies.
Hydrological Data Driven Modelling
This book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation and comparative studies that employ emerging hybrid techniques for modeling and analysis. Advanced computing offers a range of new options for hydrologic modeling with the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine learning/artificial intelligence techniques have come to be used for time series modeling. However, though initial studies have shown this approach to be effective, there are still concerns about their accuracy and ability to make predictions on a selected input space.
Climate Change Impacts on Water Resources
This book provides insights and a capacity to understand the climate change phenomenon, its impact on water resources, and possible remedial measures. The impact of climate change on water resources is a global issue and cause for concern. Water resources in many countries are extremely stressed, and climate change along with burgeoning populations, the rise in living standards, and increasing demand on resources are factors which serve to exacerbate this stress. The chapters provide information on tools that will be useful to mitigate the adverse consequences of natural disasters. Fundamental to addressing these issues is hydrological modelling which is discussed in this book and ways to combat climate change as an important aspect of water resource management.
Computational Intelligence Techniques in Earth and Environmental Sciences
Computational intelligence techniques have enjoyed growing interest in recent decades among the earth and environmental science research communities for their powerful ability to solve and understand various complex problems and develop novel approaches toward a sustainable earth. This book compiles a collection of recent developments and rigorous applications of computational intelligence in these disciplines. Techniques covered include artificial neural networks, support vector machines, fuzzy logic, decision-making algorithms, supervised and unsupervised classification algorithms, probabilistic computing, hybrid methods and morphic computing. Further topics given treatment in this volume ...
Modeling and Mitigation Measures for Managing Extreme Hydrometeorological Events Under a Warming Climate
Modeling and Mitigation Measures for Managing Extreme Hydrometeorological Events Under a Warming Climate explores the most recent computational tools, modeling frameworks, and critical data analysis measures for managing extreme climate events. Extreme climate events—primarily floods and droughts—have had major consequences in terms of loss of life and property around the world. Managing extreme occurrences, reducing their effects, and establishing adaptation strategies requires significant policy and planning improvements. This practical guide explores the latest research literature, recent advanced modeling approaches, and fundamental ideas and concepts to provide a variety of solutions for managing extreme events. - Discusses the impacts of climate change on the management of water resources - Provides flood and drought adaptation measures and strategies - Covers the latest research carried out in the modeling of extreme hydrometeorological variables
Innovative Trends in Hydrological and Environmental Systems
This book presents select proceedings of the International Virtual Conference on Trends in Hydrological and Environmental Systems (ITHES 2021). Various topics covered in this book include urban hydrology, hydrological extremes, statistical analysis of hydro-meteorological data, impacts of climate change, hydrological modelling, groundwater studies, water resource management and applications of RS & GIS in hydrology. The book also discusses various topics on applications of CFD in water resources and environmental engineering, water and wastewater treatment, solid waste management and air quality. The book will be a valuable reference for beginners, researchers, and professionals interested in environmental civil engineering, especially hydrological and environmental systems.
Hydrological Modeling
This book carefully considers hydrological models which are essential for predicting floods, droughts, soil moisture estimation, land use change detection, geomorphology and water structures. The book highlights recent advances in the area of hydrological modelling in the Ganga Basin and other internationally important river basins. The impact of climate change on water resources is a global concern. Water resources in many countries are already stressed, and climate change along with burgeoning population, rising standard of living and increasing demand are adding to the stress. Furthermore, river basins are becoming less resilient to climatic vagaries. Fundamental to addressing these issues is hydrological modelling which is covered in this book. Integrated water resources management is vital to ensure water and food security. Integral to the management is groundwater and solute transport, and this book encompasses tools that will be useful to mitigate the adverse consequences of natural disasters.
Watershed Management and Applications of AI
Land use and water resources are two major environmental issues which necessitate conservation, management, and maintenance practices through the use of various engineering techniques. Water scientists and environmental engineers must address the various aspects of flood control, soil conservation, rainfall-runoff processes, and groundwater hydrology. Watershed Management and Applications of AI provides the necessary principles of hydrology to provide practical strategies useful for the planning, design, and management of watersheds. The book also synthesizes novel new approaches, such as hydrological applications of machine learning using neural networks to predict runoff and using artifici...
Flood Damage Survey and Assessment
Floods can have a devastating impact on life, property and economic resources. However, the systematic collection of damage data in the aftermath of flood events can contribute to future risk mitigation. Such data can support a variety of actions including the identification of priorities for intervention during emergencies, the creation of complete event scenarios to tailor risk mitigation strategies, the definition of victim compensation schemes, and the validation of damage models to feed cost-benefit analysis of mitigation actions. Volume highlights include: Compilation of real world case studies elaborating on the survey experiences and best practices associated with flood damage data c...
