Preface: Optimization for groundwater characterization and management

Datta, Bithin, and Kourakos, George (2015) Preface: Optimization for groundwater characterization and management. Hydrogeology Journal, 23 (6). pp. 1043-1049.

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Abstract

[Extract]: Introduction: Anthropogenic activities conducted in an unplanned manner, and often without a regional-scale view, have led to over-exploitation and wide spread deterioration of groundwater quality. In order to address all the associated groundwater management issues on a larger regional scale, it is necessary to (1) obtain adequate and reliable information regarding the complex geology of the aquifer; (2) develop suitable mathematical simulation models incorporating reliable estimates of hydrogeologic and geochemical parameters, to describe the likely impacts of human interventions; and (3) utilize a suitably formulated decision model capable of prescribing as a solution a set of strategies for optimal management of aquifers, or capable of optimally solving the inverse problem with unknown hydrogeologic or geochemical characteristics. These components are often interrelated. This theme issue, Optimization for Groundwater Characterization and Management, provides a glimpse of the present state of the art, and points towards some of the future prospects in this area.

Item ID: 41362
Item Type: Article (Editorial)
ISSN: 1435-0157
Keywords: Groundwater management; contamination remediation; saltwater intrusion; coastal aquifers; linked simulation optimization; historical perspective aquifer management; monitoring network design; source characterization; sequential monitoring network
Additional Information:

This theme issue of the Hydrogeology Journal was guest edited by Bithin Datta, George Kourakos and Brian J. Wagner.

Date Deposited: 17 Dec 2015 02:42
FoR Codes: 09 ENGINEERING > 0905 Civil Engineering > 090509 Water Resources Engineering @ 100%
SEO Codes: 96 ENVIRONMENT > 9609 Land and Water Management > 960999 Land and Water Management of Environments not elsewhere classified @ 100%
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