Data on water quality and other environmental issues are being collected at an ever-increasing rate. In the past, however, the techniques used by scientists to interpret this data have not progressed as quickly. This is a book of modern statistical methods for analysis of practical problems in water quality and water resources. The last fifteen years have seen major advances in the fields of exploratory data analysis (EDA) and robust statistical methods. The 'real-life' characteristics of environmental data tend to drive analysis towards the use of these methods. These advances are presented in a practical and relevant format. Alternate methods are compared, highlighting the strengths and weaknesses of each as applied to environmental data. Techniques for trend analysis and dealing with water below the detection limit are topics covered, which are of great interest to consultants in water-quality and hydrology, scientists in state, provincial and federal water resources, and geological survey agencies. The practising water resources scientist will find the worked examples using actual field data from case studies of environmental problems, of real value. Exercises at the end of each chapter enable the mechanics of the methodological process to be fully understood, with data sets included on diskette for easy use. The result is a book that is both up-to-date and immediately relevant to ongoing work in the environmental and water sciences.
"Prepared by Members of the ASCE EWRI Statistical Distributions in Hydrology Task Committee, sponsored by Environmental and Water Resources Institute (EWRI)."
This book focuses on the application of statistical methods in the field of hydrology and hydroclimatology.
2.9 CORRELATION AND MEASURES THEREOF Correlation is usually defined as a measure of the linear association between random variables. It is most often measured by the familiar Pearson 's correlation coefficient, r, defined as : 2.211%- ...
Additionally, droughts and storms are systematically studied using appropriate probabilistic models. A major part of the volume is devoted to frequency analyses and fitting extreme value distributions to hydrological data.
lower bound of the Pearson type 3 distribution. Water Resources Research, 8(5), 1251–1254. Kirby, W. (1974). Algebraic boundness of sample statistics. Water Resources Research, 10(2), 220–222. Kite, G. W. (1988).
This document, updated in 2020 as a USGS "Techniques and Methods Report," is intended to be a text in applied statistics for hydrology, environmental science, environmental engineering, geology, or biology...
Focusing on conflict resolution, Water Resources Systems Analysis discusses systematic approaches to the mathematical modeling of various water resources issues, which helps decision-makers allocate water effectively and efficiently.
The benefits and challenges of using GIS in environmental and water resources fields are clearly tackled in this book, demonstrating how these technologies can be used to harness increasingly available digital data to develop spatially ...
The book is very useful for teaching, as it covers the main topics of the subject and contains many worked out examples and proposed exercises.
This book discusses a broad range of statistical design and analysis methods that are particularly well suited to pollution data.