Sujit Mandal – författare

This book explores fluvial processes and their consequences on river dynamics in India. It discusses the integration of geomorphic, hydrologic, and socio-economic data with various policies and decisions regarding sustainable river basin management. The volume looks at the origin and development of streams, chronology of fluvial geomorphology, fluvial system concept, process–form interaction, river dynamics, channel migration, flow regime, channel types, and hydraulic and morphometric parameters; and explains how changing hydro-geomorphological dynamics have influenced land use patterns, nature of fluids, behaviour of floods, etc. It examines channel migration vulnerability and bank erosion hazard vulnerability of the Torsa River in the eastern region of India as a case study using channel migration zone and Bank Erosion Hazard Index models. The book presents a new research framework based on field surveys, scientific investigations, and analytical techniques and methods to interpret key geoinformatics data.

With its extensive illustrations, this book will be useful to students, teachers, and researchers of geography, earth sciences, environmental geology, and environment and disaster management. It will also interest geographers, civil engineers, hydrologists, geomorphologists, planners, and other individuals and organizations working on fluvial processes and riverbank erosion problems globally.

This book explores fluvial processes and their consequences on river dynamics in India. It discusses the integration of geomorphic, hydrologic, and socio-economic data with various policies and decisions regarding sustainable river basin management. The volume looks at the origin and development of streams, chronology of fluvial geomorphology, fluvial system concept, process–form interaction, river dynamics, channel migration, flow regime, channel types, and hydraulic and morphometric parameters; and explains how changing hydro-geomorphological dynamics have influenced land use patterns, nature of fluids, behaviour of floods, etc. It examines channel migration vulnerability and bank erosion hazard vulnerability of the Torsa River in the eastern region of India as a case study using channel migration zone and Bank Erosion Hazard Index models. The book presents a new research framework based on field surveys, scientific investigations, and analytical techniques and methods to interpret key geoinformatics data.

With its extensive illustrations, this book will be useful to students, teachers, and researchers of geography, earth sciences, environmental geology, and environment and disaster management. It will also interest geographers, civil engineers, hydrologists, geomorphologists, planners, and other individuals and organizations working on fluvial processes and riverbank erosion problems globally.

This book discusses various statistical models and their implications for developing landslide susceptibility and risk zonation maps. It also presents a range of statistical techniques, i.e. bivariate and multivariate statistical models and machine learning models, as well as multi-criteria evaluation, pseudo-quantitative and probabilistic approaches. As such, it provides methods and techniques for RS & GIS-based models in spatial distribution for all those engaged in the preparation and development of projects, research, training courses and postgraduate studies. Further, the book offers a valuable resource for students using RS & GIS techniques in their studies. 

This book focuses on the spatial distribution of landslide hazards of the Darjeeling Himalayas. Knowledge driven methods and statistical techniques such as frequency ratio model (FRM), information value model (IVM), logistic regression model (LRM), index overlay model (IOM), certainty factor model (CFM), analytical hierarchy process (AHP), artificial neural network model (ANN), and fuzzy logic have been adopted to identify landslide susceptibility. In addition, a comparison between various statistical models were made using success rate cure (SRC) and it was found that artificial neural network model (ANN), certainty factor model (CFM) and frequency ratio based fuzzy logic approach are the most reliable statistical techniques in the assessment and prediction of landslide susceptibility in the Darjeeling Himalayas. The study identified very high, high, moderate, low and very low landslide susceptibility locations to take site-specific management options as well as to ensure developmental activities in theDarjeeling Himalayas.

Particular attention is given to the assessment of various geomorphic, geotectonic and geohydrologic attributes that help to understand the role of different factors and corresponding classes in landslides, to apply different models, and to monitor and predict landslides. The use of various statistical and physical models to estimate landslide susceptibility is also discussed. The causes, mechanisms and types of landslides and their destructive character are elaborated in the book. Researchers interested in applying statistical tools for hazard zonation purposes will find the book appealing.