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This book offers the scientific basis for the ample evaluation of badland management in India and some surrounding regions. It examines the processes operating in the headwaters and main channels of ephemeral rivers in lateritic environments of India. In particular, the book covers a range of vital topics in the areas of gully erosion and water to soil erosion at lateritic uplands regions of India and other regions in Asia. It explores the probable gully erosion modeling through Remote Sensing & GIS Techniques. It is divided into three units. Unit I deals with the introduction of badland, types of badland and the process of badland formation. Unit II is devoted to a description of quantitative measurements. Unit III deals with the control and management processes related to various issues from different regions. As such this book serves as a reference book for research activities in this area. It is an efficient guide for aspiring researchers in applied geography, explaining advanced techniques to help students recognize both simple and complex concepts.
Soil erosion and torrential floods, as destructive processes, have serious implications on the economy, society, and environment. The severity of torrential floods lies in their sudden occurrence and high intensity, and hence, the defense against torrential floods is very complex and demanding. Much remains to be discovered about soil erosion and torrential floods prevention, management, legislation, practices, and solutions worldwide. Thus, a better understanding of various prevention and management developments on soil erosion and torrential floods across different contexts is needed to assess their impact on sustainability, especially in the changed climate conditions. Prevention and Management of Soil Erosion and Torrential Floods investigates the problems of erosion and torrential floods and opportunities for the prevention, management, and control of these destructive processes. It highlights the importance of the prevention and management practices of soil erosion and torrential floods with respect to the exchange of knowledge and best practices. Covering topics such as dam maintenance, wind erosion, and natural disasters, it is ideal for environmentalists, environmental engineers, crisis response specialists, policymakers, government officials, academicians, students, experts, practitioners, and researchers in the fields of soil erosion, torrential flood, environmental protection, sustainable development, engineering, and management.
This book offers essential information on geospatial technologies for water resource management and highlights the latest GIS and geostatistics techniques as they relate to groundwater. Groundwater is inarguably India's single most important natural resource. It is the foundation of millions of Indian farmers' livelihood security and the primary source of drinking water for a vast majority of Indians in rural and urban areas. The prospects of continued high rates of growth in the Indian economy will, to a great extent, depend on how judiciously we can manage groundwater in the years to come. Over the past three decades, India has emerged as by far the single largest consumer of groundwater in the world. Though groundwater has made the country self-sufficient in terms of food, we face a crisis of dwindling water tables and declining water quality. Deep drilling by tube wells, which was once part of the solution to water shortages, is now in danger of becoming part of the problem. Consequently, we urgently need to focus our efforts on the sustainable and equitable management of groundwater. Addressing that need, this book presents novel advances in and applications of RS–GIS and geostatistical techniques to the research community in a precise and straightforward manner.
This book explores global implications of human activities that trigger changes in climate and the appropriate scientific, adaptive, and sustainable approaches as a proven information tool. It reveals that the ecological, social, and economic dynamics of the changing earth encompasses huge uncertainties coupled with its ability to be linked to other forms of global change. From a scientific perspective, multiple efforts are expedient to integrate the many aspects of global changes. Increases in science and technology have afforded nations the ability to plan for the future by investing in adaptive and mitigative measures to monitor present and future changes. Just as the climatic and ecological impacts of climate change are unequally distributed, so is the adaptive capacity to cope with these impacts in different nations. Considering that wealth, infrastructure, and political stability all contribute to a nation's capacity to anticipate and respond to change. So, global South nations who are disadvantaged in these areas are faced with more inequalities and more unique adaptive strategies. There is need for increased aggregate efforts and interaction between scientists, stakeholders, and policy makers to improve both decision-making and global change in science. Scientists and researchers need to work on expanding the range of polices that are proposed, debated, and implemented. This way, novelty, new ideas and methodologies are infused into the society. At this point of multiple climate footprints, there is an immense need to explore all ideas evaluating their possibilities in presenting alternative futures, developing alternative policies, and adaptive options to solve the intractable ecological footprints of climate change.
This book explores state-of-art techniques based on open-source software and statistical programming and modelling in modern geospatial applications, specifically focusing on recent trends in data mining techniques and robust modelling in Geomorphological, Hydrological, Bio-physical and Social activities. The book is organized into physical, mountainous, coastal, riverine, forest, urban and biological activities, with each chapter providing a review of the current knowledge in the focus area, and evaluating where future efforts should be directed. The text compiles a collection of recent developments and rigorous applications of Geospatial computational intelligence (e.g., artificial neural network, spatial interpolation, physical and environmental modelling and machine learning algorithms etc) in geomorphic processes from a team of expert contributors. The authors address the wide range of challenges and uncertainties in the study of earth system dynamics due to climate change, and complex anthropogenic interferences where spatial modelling may be applied in the risk assessment of vulnerable geomorphological landscapes. The book will act as a guide to find recent advancements in geospatial artificial intelligence techniques and its application to natural and social hazards. This information will be helpful for students, researchers, policy makers, environmentalists, planners involved in natural hazard and disaster management, NGOs, and government organizations.
Floods and flash floods with hydro-meteorological and tropical cyclones are the some of the most devastating natural disasters causing massive damages to natural and man-made features. Flood hazards are a major threat to human life, properties (agricultural area, yield production, building and homes) and infrastructures (bridges, roads, railways, urban infrastructures, etc). Flood hazards susceptibility mapping (risk assessment) and modelling is an essential step for early warning systems, emergency services, prevention and mitigation of future environmental and social hazards and implementation of risk management strategies. Due to the lack of proper information, technology-based policies and strategies, mapping and modelling can often not be implemented to the best possible level. Geo-spatial techniques have enjoyed rising interest in recent decades among the earth environmental and social sciences research communities for their powerful ability to solve and understand various complex problems and develop novel approaches toward sustainable earth and human society. By linking geo-spatial computational intelligence techniques with societal and environmental-oriented problems, this book demonstrates geospatial technology approaches to data mining techniques, data analysis, modelling, risk assessment and visualization and management strategies in different aspects of flood hazards. We believe that a diverse group of academics, scientists, geographers, hydrologist, remote sensing and GIS expertise, environmentalists, meteorologists and computing experts with a common interest in geospatial sciences within the earth environmental sciences and humanistic and social sciences will find this book to be of great value.
This book discusses emerging contexts of global warming and climate change, agricultural vulnerability and adaptation from local to global scale. Climate change, resilience in relation to agriculture and livelihoods and multi-dimensionality of various approaches are clearly taken into account by providing studies and perspectives on various methods and scales based on natural science to social science frameworks. This edited work contains chapters that are interdisciplinary, covering climate change, agriculture vulnerability, disaster impact, productivity efficiency, food security, livelihood resilience, land degradation, sustainability, in terms of plan and perform for transformation, sustainability and adaptation, including philosophy, change and economics, as well as the natural sciences. This book addresses the sustainable development goals to reduce the adverse impacts on agricultural productivity brought on by climate change and its adaptation and disaster risk reduction in developing and developed nations. Some of the assessed challenges include soil erosion, land use conversion, natural resource mismanagement, crop productivity decline and economic stagnation. This book covers important issues in the production and consumption of food in the past and present periods, agriculture, livelihood, and climate change, disaster risk management and society. All of these are under the threat of ongoing climate change and significant challenges to livelihood sustainability. The book is arranged into five broad sections: each part will cover a set of chapters dealing with a particular issue of the climate change, agriculture and society: approach toward sustainability. This book aims to attract attention of students, researchers, academician, policymakers and other inquisitive readers interested in different aspects of climate change, agriculture, livelihood and sustainability, particularly at local to global context.
The book demonstrates the geospatial technology approach to data mining techniques, data analysis, modeling, risk assessment, visualization, and management strategies in different aspects of natural and social hazards. This book has 25 chapters associated with risk assessment, mapping and management strategies of environmental hazards. It covers major topics such as Landslide Susceptibility, Arsenic Contaminated Groundwater, Earthquake Risk Management, Open Cast Mining, Soil loss, Flood Susceptibility, Forest Fire Risk, Malaria prevalence, Flood inundation, Socio-Economic Vulnerability, River Bank Erosion, and Socio-Economic Vulnerability. The content of this book will be of interest to researchers, professionals, and policymakers, whose work involves environmental hazards and related solutions.
This book is essential for anyone interested in understanding and implementing sustainable resource development strategies, as it covers the crucial first stage of assessing resource availability and condition, along with the use of modern geospatial technologies such as remote sensing, GIS, and GPS for surveying, mapping, and monitoring various resources for global environmental protection and sustainable development. The first step in developing a sustainable resource strategy is assessing the availability and condition of resources. This involves evaluating baseline levels, identifying trends, and understanding their consequences. Mitigation policies are then developed based on this assessment. Modern geospatial technologies like Remote Sensing (RS), Geographic Information Systems (GIS), and Global Positioning Systems (GPS) offer powerful tools for surveying, mapping, and monitoring both renewable and nonrenewable resources. These technologies support global environmental protection, disaster management, and sustainable development by providing repetitive and global data. GPS provides accurate geographic coordinates, while GIS allows visualization, analysis, and decision-making through spatial data, enabling the study of complex environmental and natural resource challenges at various scales.