Deepesh Machiwal Madan Kumar Jha Machiwal Hydrologic Time Series Analysis

Hydrologic Time Series Analysis

von Deepesh Machiwal Madan Kumar Jha

Theory and Practice

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Beschreibung

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.


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.


Provides comprehensive and up-to-date information about hydrologic time series analysis Covers all important aspects of hydrologic time series analysis along with salient case studies demonstrating the use of time series analysis in different areas of hydrology All the chapters contain necessary details about the topics discussed, are presented in a rational way for a systematic and effective reading, and written in an easy-to-understand language

Autor*in

Deepesh Machiwal

Themen in »Hydrologic Time Series Analysis«

Normality and trend Periodicity and persistence Stationarity and homogeneity Statistical analysis Time series modeling hydrogeology

Stimmen zu »Hydrologic Time Series Analysis«

Details

ISBN: 9789400718616
Verlag: Springer Netherland
Erscheinung: 05.03.2012

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