Stochastic and Statistical Methods in Hydrology and Environmental Engineering - Stochastic and Statistical Modelling with Groundwater and Surface Water Applications

World renowned scientists present valuable contributions to stochastic and statistical modelling of groundwater and surface water systems. The philosophy of probabilistic modelling in the hydrological sciences is put into proper perspective and the importance of stochastic differential equations in the environmental sciences is explained and illustrated. The new research ideas put forward in groundwater modelling will assist decision makers in tackling challenging problems such as controlling pollution of underground aquifers and obtaining adequate water supplies. Additionally, different types of stochastic models are used in modelling a range of interesting surface water problems. Other topics covered in this landmark volume include stochastic optimization, moment analysis, carbon dioxide modelling and rainfall prediction.
Audience
The book is of interest to researchers, teachers, students and practitioners who wish to be at the leading edge of stochastic and statistical modelling in the environmental sciences.

List of contents

Preface
Dedication
Acknowledgements
Part I: General Issues
Part II: Groundwater
Part III: Surface Water
Part IV: Stochastic Optimization.
Part V: Moment Analysis
Part VI: Other Topics
Author Index
Subject Index

Product details

• Assisted by: Keith W Hipel (Editor), Keith W. Hipel (Editor), Liping Fang (Editor), Fang Liping Fang (Editor), A Ian McLeod (Editor), A. Ian McLeod (Editor), U S Panu (Editor), U. S. Panu (Editor), V P Singh (Editor)
• Publisher: Springer Netherlands
• Languages: English
• Product format: Hardback
• Released: 01.09.1994
• EAN: 9780792327578
• ISBN: 978-0-7923-2757-8
• No. of pages: 372
• Weight: 701 g
• Illustrations: 44 SW-Abb., XIX, 372 p.
• Series: Water Science and Technology Library; Water Science and Technology; Stochastic and Statistical Methods in Hydrology and Environmental Engineering
• Subject: Natural sciences, medicine, IT, technology > Geosciences > Geology