Deepesh Machiwal - Böcker

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 streamflow forecasting over the decades. Thereafter, chapters describe theoretical methodology of the different data-driven tools and techniques used for streamflow forecasting along with case studies from different parts of the world. Each chapter provides a flowchart explaining step-by-step methodology followed in applying the data-driven approach in streamflow forecasting.

This book addresses challenges in forecasting streamflows by abridging the gaps between theory and practice through amalgamation of theoretical descriptions of the data-driven techniques and systematic demonstration of procedures used in applying the techniques. Language of this book is kept simple to make the readers understand easily about different techniques and make them capable enough to straightforward replicate the approach in other areas of their interest.

This book will be vital for hydrologists when optimizing the water resources system, and to mitigate the impact of destructive natural disasters such as floods and droughts by implementing long-term planning (structural and nonstructural measures), and short-term emergency warning. Moreover, this book will guide the readers in choosing an appropriate technique for streamflow forecasting depending upon the given set of conditions.

Contributions from renowned researchers/experts of the subject from all over the world to provide the most authoritative outlook on streamflow forecasting Provides an excellent overview and advances made in streamflow forecasting over the past more than five decades and covers both traditional and modern data-driven approaches in streamflow forecasting Includes case studies along with detailed flowcharts demonstrating a systematic application of different data-driven models in streamflow forecasting, which helps understand the step-by-step procedures

The book Improving Productivity of Drylands by Sustainable Resource Utilization and Management focuses on various aspects of resource management in dryland agriculture. It covers topics such as natural resource management, biodiversity conservation, crop and livestock production, energy, technology transfer, and socio-economic issues. The book includes 30 chapters written by subject specialists that present recent technologies and strategies for dryland management. It provides both theoretical and practical knowledge for sustainable dryland management and is useful for professionals, researchers, scholars, and students in the field of agricultural research in drylands.

The book Improving Productivity of Drylands by Sustainable Resource Utilization and Management addresses various aspects related to the utilization and management of resources in dryland agriculture. The book covers topics such as natural resource management, biodiversity conservation, crop and livestock management, energy, and technology transfer, as well as socio-economic issues.The content of the book is divided into 30 chapters, each contributed by subject specialists, and covers a range of subjects, including climate-resilient agriculture, soil and water conservation, soil fertility appraisal, recycling of organic wastes, management strategies for livestock production, intercropping in agri-horticultural systems, agro-morphological evaluation of crops, developing genotypes for vegetable cultivation, crop diversification, farming systems, improved forage production, variability and heritability of grasses, weed management practices, economics of arable crop production, and energy conservation strategies through greenhouses.Overall, the book aims to present a comprehensive collection of information on recently developed technologies and strategies for sustainable dryland management, making it a valuable resource for professionals, researchers, scholars, and students involved in agricultural research in drylands.

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 them to real-world time series data, theory and methodology of stochastic modelling, and current status of time series analysis in hydrological sciences. In adition, it demonstrates the application of most time series tests through a case study as well as presents a comparative performance evaluation of various time series tests, together with four invited case studies from India and abroad.This book will not only serve as a textbook for the students and teachers in water resources engineering but will also serve as the most comprehensive  reference to educate researchers/scientists about the theory and practice of time series analysis in hydrological sciences. This book will be very useful to the students, researchers, teachers and professionals involved in water resources, hydrology, ecology, climate change, earth science, and environmental studies.

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.