Optimization methods applied for sustainable management of water-scarce basins

被引:27
作者
Cetinkaya, Cem P. [1 ]
Fistikoglu, Okan [1 ]
Fedra, Kurt [2 ]
Harmancioglu, Nigun B. [1 ]
机构
[1] Dokuz Eylul Univ, Water Resources Management Res & Applicat Ctr SUM, TR-35160 Izmir, Turkey
[2] Environm Software & Serv GmbH, A-2352 Gumpoldskirchen, Austria
关键词
decision support; dynamic simulation; information technology; multi-criteria optimization; scenarios; sustainable water management;
D O I
10.2166/hydro.2007.011
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper aims to present the information-based technologies used for water management in a test basin within the scope of the EU-sponsored SMART and OPTIMA projects. The study uses a dynamic simulation model with its associated databases and a water resources planning and optimization system, established through a web-based client-server implementation to support distributed use and easy access for multi-criteria optimization and decision support. The results clearly illustrate how a consistent and well-integrated set of advanced but practical Decision Support System (DSS) tools can be used for efficient "optimal" water management strategies and policies of use, designed for a participatory public decision-making process.
引用
收藏
页码:69 / 95
页数:27
相关论文
共 10 条
[1]  
Bell D.E., 1977, Conflicting objectives in decisions
[2]  
*ESS, 2006, INCOCT2004509091 OPT
[3]  
Fedra K., 2002, GIS Development, V6, P39
[4]  
Fedra K., 2005, Proc. of CCWI 2005 on Water Management for the 21st Century, Center of Water Systems, VV, P167
[5]  
Fedra K, 2004, WATER RESOUR MANAG, VI, P23
[6]  
FEDRA K, 1996, IAHS PUBL, V235, P669
[7]  
Fedra K, 2004, DELIVERING SUSTAINAB, V1, P281
[8]  
Fiering M. B., 1967, STREAMFLOW SYNTHESIS, DOI DOI 10.4159/HARVARD.9780674189287
[9]   The 'WaterWare' decision-support system for river-basin planning .1. Conceptual design [J].
Jamieson, DG ;
Fedra, K .
JOURNAL OF HYDROLOGY, 1996, 177 (3-4) :163-175
[10]  
Svendsen M, 2005, IRRIGATION AND RIVER BASIN MANAGEMENT: OPTIONS FOR GOVERNANCE AND INSTITUTIONS, P193, DOI 10.1079/9780851996721.0193