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World water resources seem to be abundant; however, only 0.7% of this total amount is usable water. And owing to their nonuniform distribution, some countries have abundant water resources, whereas some others suffer from inadequate water, and even face severe water scarcity problems. Moreover, serious water pollution problems make 1/5 of the world’s population (approximately 1.1 billion people) under the risk of water-related diseases. In order to give a guideline to maintain the required quality of water according to the intended use, a group of international experts have come together to write this book. Authors target to pass recent available knowledge and information to the readers, who will vary from academicians, professional engineers and scientists, to undergraduate and graduate engineering students concerned with water quality problems all over the world. This book covers the main fields of Wastewater Treatment with 12 chapters, and uses knowledges in economic, information technologies, biology, etc. to make comprehensive analyses and applications.
There is a dearth of relevant books dealing with both theory and application of time series analysis techniques, particularly in the field of water resources engineering. Therefore, many hydrologists and hydrogeologists face difficulties in adopting time series analysis as one of the tools for their research. This book fills this gap by providing a proper blend of theoretical and practical aspects of time sereies analysis. It deals with a comprehensive overview of time series characteristics in hydrology/water resources engineering, various tools and techniques for analyzing time series data, theoretical details of 31 available statistical tests along with detailed procedures for applying th...
Advances in Streamflow Forecasting: From Traditional to Modern Approaches covers the three major data-driven approaches of streamflow forecasting including traditional approach of statistical and stochastic time-series modelling with their recent developments, stand-alone data-driven approach such as artificial intelligence techniques, and modern hybridized approach where data-driven models are combined with preprocessing methods to improve the forecast accuracy of streamflows and to reduce the forecast uncertainties. This book starts by providing the background information, overview, and advances made in streamflow forecasting. The overview portrays the progress made in the field of streamf...
The book entitled, “Improving Productivity of Drylands by Sustainable Resource Utilization and Management” deals with a variety of aspects linked with utilization and management of resources used in dryland agriculture. The content of the book covers the topics on the natural resources management, biodiversity conservation, crop production and management, livestock management, energy, technology transfer and socio-economic issues. Subjects such as climate resilient agriculture, soil and water conservation measures, soil fertility appraisal, recycling of organic wastes, management strategies for livestock production, intercropping in agri-horti system, agro-morphological evaluation of cro...
This contributed volume describes management practices based on interdisciplinary and convergence science approaches from different disciplines of agricultural science to enhance the resilience of dryland agriculture. The main focus of this book is to address the current issues and trends along with future prospects and challenges in adopting salient agricultural management practices in drylands globally under a climate-change scenario. Climate change and global warming have profound repercussions on increasing frequency, severity, and duration of droughts and/or floods, which may have implications for future productivity of dryland agriculture, e.g., more water shortages or abundances and h...
This book demonstrates the measurement, monitoring, mapping and modelling of soil pollution and land resources. This book explores state-of-the-art techniques based on open sources software & R statistical programming and modelling in modern geo-computation techniques specifically focusing on the recent trends in data mining/machine learning techniques and robust modelling in soil resources. Soil and agricultural systems are an integral part of the global environment and human well‐being, providing multiple goods and services essential for people worldwide and crucial for sustainable development. Soil contamination is an environmental hazard and has become a big issue related to environmen...
This contributed volume describes management practices based on interdisciplinary and convergence science approaches from different disciplines of agricultural science to enhance the resilience of dryland agriculture. The main focus of this book is to address the current issues and trends along with future prospects and challenges in adopting salient agricultural management practices in drylands globally under a climate-change scenario. Climate change and global warming have profound repercussions on increasing frequency, severity, and duration of droughts and/or floods, which may have implications for future productivity of dryland agriculture, e.g., more water shortages or abundances and h...
Water Resource Modeling and Computational Technologies, Seventh Edition provides the reader with a comprehensive overview of the applications that computational techniques have in various sectors of water resource engineering. The book explores applications of recent modeling and computational techniques in various sectors of water resource engineering, including hydroinformatics, irrigation engineering, climate change, hydrologic forecasting, floods, droughts, image processing, GIS, water quality, aquifer mapping, basin scale modeling, computational fluid dynamics, numerical modeling of surges and groundwater flow, river engineering, optimal reservoir operation, multipurpose projects, and w...