Hydrological Processes Modelling and Data Analysis

This book provides a state-of-the-art overview of the concepts and methodologies of data and modelling-driven hydrological analyses and their wide range of practical applications. The book is driven by the realisation that science, technology, engineering, and mathematics (STEM) concepts are essential in engineering hydrology to produce well-trained hydrologists. Such hydrologists will be equipped to face future societal challenges that require enhanced information and communication technology tools and integration of technical and non-technical areas. The book contains 12 chapters that introduce the principles of hydrological data analysis and highlight the current and emerging tools and techniques for analysing hydrologic data. The book describes the types of data typically used in hydrological analyses. It highlights the revolutionary technological advancements made toward hydrological data collection, including the use of drones and smartphones. The foremost objective of the book is to present the hydrological data analysis procedures. It explains the steps involved in data analysis for easy understanding of the reader, including students and professionals. This book presents case studies that demonstrate step-by-step procedures involved in typical analysis problems and may guide students and professionals in planning and executing steps to analyse the problem at hand. Case study examples will guide them to understand the intricacies of hydrological data analysis. It provides the readers with a complete package to enrich their understanding of the hydrological data analysis tools and techniques. Subsequently, as well-trained hydrologists, they could execute their learning to meet any specific grand challenge of the twenty-first century.

Elucidates the principles and procedures for hydrological modelling and data analysis Provides essential know-how and fundamentals, including data acquisition and processing Includes detailed case studies showcasing the application of various concepts in a river basin

Autorentext

Umesh Chandra Chaube Umesh Chandra Chaube is a Former Professor of IIT Roorkee and has more than 48 years of experience in the water resource development and management sector covering field engineering, teaching, and research. He holds B.Tech and M.Tech degree (Civil Engg.) from IIT Kanpur and Ph.D. degree(Water Resources) from IIT Delhi. He has supervised one post-doctoral research, 15 Ph.D. level research, 95 Master degree level dissertations, and 152 special problem studies. He has published 124 research papers in journals and conference proceedings. Over a period of 33 years at the Department of Water Resource Development and Management of IIT Roorkee, he has been responsible for the capacity building of a large number of irrigation professionals from Afro-Asian countries. He has also served on several National Committees of the Government of India. He is a Life Member of the International Commission on Irrigation and Drainage and a Life Fellow of the Institution of Engineers India, the Indian Water Resources Society, and the Indian Association of Hydrology. He has been Executive Vice President of the Indian Water Resources Society and Chief Editor of its Journal. He has served as Dy. Director/Assistant Director in Central Water Commission of Government of India and as Faculty at IIT Roorkee, IIT Indore, and Sri Vaishnav Vidyapeeth University, Indore. He was employed by United Nation-FAO as International Hydrologist & Water Management Specialist in Kabul ( Afghanistan). He is the recipient of the Colombo Plan Scholarship, UNESCO Fellowship, and UNEP Fellowship, Emeritus Fellowship of IIT Roorkee and has been Professor Emeritus at Sri Vaishnav Vidyapeeth University at Indore. Prof. Ashish PandeyProf. Ashish Pandey is Bharat Singh Chair Professor of the Ministry of Water Resources, Government of India, and the Head of the Departmentof Water Resources Development and Management, IIT Roorkee. He holds B. Tech. and M. Tech. (Gold Medal) from JNKVV, Jabalpur followed by a Ph.D. degree from IIT Kharagpur. His research interests include Irrigation Water Management, Soil, and Water Conservation Engineering, Remote Sensing and GIS Applications in Water Resources, etc. He supervised 13 Ph.D. and 88 M. Tech. dissertations. Dr. Pandey published 224 research papers in High Impact Journals/Conference and 37 book chapters. He has co-authored two textbooks on "Irrigation Engineering" and "Introductory Soil and Water Conservation Engineering." He has also served as a lead editor of seven volumes of the Water Science and Technology Library book series for Springer Nature, Switzerland AG. Currently, Prof. Pandey is the Executive Vice President of the Indian Water Resources Society (IWRS) and Chairman, Institution of Engineers (Roorkee Local Centre). He has trained about 1000 + senior-level scientists/engineers under 37 various capacity-building programs from India and Afro-Asian Countries. He has also served on several National Committees of the Govt of India. He is the recipient of several national and international fellowships/awards and honors. He is a Fellow member of (1). Institution of Engineers (India); (2). Indian Association of Hydrologists (IAH) and (3). IWRS. Prof. V.P. Singh Professor Vijay P. Singh is a Distinguished Professor, a Regents Professor, and the inaugural holder of the Caroline and William N. Lehrer Distinguished Chair in Water Engineering at Texas A&M University, USA. He received his B.Sc & Tech., M.S., Ph.D. and D.Sc. degrees, all in engineering. He is a registered professional engineer, a registered professional hydrologist, and an Honorary Diplomate of ASCE-AAWRE. He is a Distinguished Member of ASCE, an Honorary Distinguished Member of IWRA, a Distinguished Fellow of AGGS, and an Honorary Member of AWRA, and a Fellow of EWRI-ASCE, ASCE, IAH, ISAE, IWRS, and IASWC. He is a member of National Academy of Engineering (NAE), an Acade

Inhalt
Chapter 1. Introduction.- Chapter 2. Data Availability and Acquisition.- Chapter 3. Time-Series Analysis.- Chapter 4. Remote Sensing Driven Data Analysis and Geographic Information Systems (GIS).- Chapter 5. Climate Change Impact Analysis.- Chapter 6. Land Use Land Cover (LULC) Change Analysis.- Chapter 7. Integrated Modelling Systems.- Chapter 8. Extreme Event Analysis.- Chapter 9. Uncertainty Analysis.- Chapter 10. Machine Learning (ML) /Artificial Intelligence (AI) in Water Resources.- Chapter 11. Emerging Fields in Hydrology.- Chapter 12. Case Study of Examples.- Chapter 13. Way Forward.- Index.