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.
This second edition focuses on the application of statistical methods in the field of hydrology and hydroclimatology.
Volume 1: (edited by Keith W. Hipel) In this landmark collection of papers, highly respected scientists and engineers from around the world present the latest research results in extreme value analyses for floods and droughts.
Audience This book will be of interest to hydrologists, hydro-geologists, engineers, geographers, agronomists, soil scientists, groundwater modellers, environmental physicists, limnologists
This new edition expands focus on statistical comparison to regulatory standards that are a vital part of assessment, compliance, and corrective action monitoring in the environmental sciences.
This is a comprehensive presentation of the theory and practice of time series modelling of environmental systems.
Use the Durbin–Watson test for randomness with the Fishkill Creek discharge data of Problem 7-17. Assess the usefulness of the Durbin–Watson test with periodic or cyclical data. Assess the applicability of the Durbin–Watson test for a ...
Statistical Analysis in Water Resources Engineering
... C., 201 Hogg, R.V., 46 Holst, L., 8 Hosking, J.R.M., 100, 107, 108, 223 Houghton, J.C., 108 Hsing, T., 146, 147, 251, ... 121 Pentikäinen, T., 40 Pericchi, L.R., 97 Perls, T.T., 242 Pesonen, M., 40 Pfeifer, D., 105 Phillips, P.C.B., ...
Audience This book will be of value to researchers interested in climate change and advanced graduate students in civil engineering, atmospheric sciences and statistics.
"Prepared by Members of the ASCE EWRI Statistical Distributions in Hydrology Task Committee, sponsored by Environmental and Water Resources Institute (EWRI)."