Statistical Methods in Water Resources


Book Description

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.




Statistical Analysis of Hydrologic Variables


Book Description

This book provides a compilation of statistical analysis methods used to analyze and assess critical variables in the hydrological cycle.







Encyclopedia of Hydrology and Water Resources


Book Description

The fresh water supplies of the Earth are finite and as the world's population continues to grow humanity's thirst for this water seems unquenchable. Intense pressure is being exerted upon freshwater resources and a lack of adequate clean water is seen as one of the most serious global problems for the 21st century. Indeed it has been said that the next war will be fought over water, not oil. Human health and the health of supporting ecosystems increasingly depends upon our ability to find, control, manage and understand water. In a single volume, The Encyclopedia of Hydrology and Water Resources provides the reader with a comprehensive overview and understanding of the diverse field of hydrology. The intimate inclusion of material on water resources emphasizes the practical applications of this field, applications which are indispensable in any modern approach to the subject. This volume is a vital reference for all hydrologists, hydrogeologists and water engineers worldwide, whether they are concerned with the exploitation of new sources of water, the protection and management of existing reserves, or the science of surface water and groundwater flow. 114 eminent scientists from 17 countries worldwide have contributed to this authoritative volume. Superbly illustrated throughout, it includes almost 300 entries on a range of key topics, including arid and semi-arid zones, climates and climate change, floods and droughts, desertification, entropy, flow measurement, groundwater, hydrological cycle, hydrological models, infiltration, karst hydrology, paleohydrology, precipitation, remote sensing, river pollution prevention, rivers, lakes and seas, satellite hydrology, soil erosion, water treatment, water use, weather radar, and world water balance.




Sustainable Water Resources Management


Book Description

Sustainable Water Resources Management presents the most current thinking on the environmental, social, and political dimensions of sustainably managing the water supply at local, regional, or basin levels.




The Water Encyclopedia


Book Description

Just do an Internet search. It's on the Internet These phrases have quickly become a part of the vernacular. The quintessential book of data relating to water, The Water Encyclopedia: Hydrologic Data and Internet Resources, Third Edition arose from the premise that most of the information provided within this publication could be easily




Data Sharing for International Water Resource Management: Eastern Europe, Russia and the CIS


Book Description

The Issues, Conclusions, and Recommendations of the NATO Advanced Research Workshop - Budapest, Hungary July 27 -31, 1997 TIlOMAS NAFF University of Pennsylvania 847 Williams Hall Philadelphia, PA 19104-6305 USA tna. /J"@sas. upenn. edu 1. The Issues Sharing data and infonnation enables people to think together in solving problems, in building trust essential for cooperative efforts toward sustaining shared vital natural resources, and in avoiding conflict. It is axiomatic that all planning and policy making, not least for environmental and resource sustainability, depend for success on accmate data and infonnation dispensed freely to all who need it, from farmers to heads of state. These maxims are particularly apt when applied to water resources that are international and transboundary. In those circumstances, the need for cooperation and sharing are acute if the water source is to be managed, distributed, and used equitably and efficiently. In many parts of the world, the collection, management, reporting, and quality of water and environmental data are often so poor and incomplete as to render them useless, or they are treated as security issues and are therefore classified. Either way, wherever those conditions exist, essential planning and policy data and information of good quality are relatively hard to come by. The consequences are high, particularly for effective basin-wide river management and resource sustainability.




Satellite Remote Sensing in Hydrological Data Assimilation


Book Description

This book presents the fundamentals of data assimilation and reviews the application of satellite remote sensing in hydrological data assimilation. Although hydrological models are valuable tools to monitor and understand global and regional water cycles, they are subject to various sources of errors. Satellite remote sensing data provides a great opportunity to improve the performance of models through data assimilation.