Logistics and Benefits of Using Mathematical Models of Hydrologic and Water Resource Systems
Logistics and Benefits of Using Mathematical Models of Hydrologic and Water Resource Systems

Author: A.J. Askew

Publisher: Elsevier

Published: 2013-10-22

Total Pages: 267

ISBN-13: 1483189589

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Logistics and Benefits of Using Mathematical Models of Hydrologic and Water Resource Systems is a collection of paper that details the experiences in the operational and logistical aspects of utilizing water resource models. The title provides the general report on model structure and classification; experiences of the hydrologic engineering center in maintaining widely used hydrologic and water resource computer models; and the operational experience of on-line hydrological simulation. The selection also covers the implementation and application of a suite for the simulation of complex water resource systems in evaluation and planning studies; and the use of a groundwater model in the design, performance; and the assessment, and operation of a river regulation scheme. The book will be of great use to researchers and practitioners of hydrological sciences.

Integrated Approach to Environmental Data Management Systems
Integrated Approach to Environmental Data Management Systems

Author: Nilgun B. Harmanciogammalu

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 550

ISBN-13: 9401156166

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An integrated approach to environmental data management is necessitated by the complexity of the environmental problems that need to be addresses, coupled with the interdisciplinary approach that needs to be adopted to solve them. Agenda 21 of the Rio Environmental Conference mandated international programmes and organizations to take steps to develop common data and information management plans, and steps have been taken in this direction. The key word that defines the framework of the present book is `integration'. The book establishes the basics of integrated approaches and covers environmental data management systems within that framework, covering all aspects of data management, from objectives and constraints, design of data collection networks, statistical and physical sampling, remote sensing and GIS, databases, reliability of data, data analysis, and the transformation of data into information.