Attribution: Please use this identifier to share, cite, or link to this item: http://hdl.handle.net/10625/47910
Title: Inexact de Novo programming for water resources systems planning
Authors: Zhang, Y.M.
Huang, G.H.
Zhang, X.D.
Keywords: UNCERTAINTY
MANAGEMENT
WATER RESOURCES
DECISION ANALYSIS
MULTI-OBJECTIVE
ENVIRONMENT
DE NOVO
SUB-SAHARAN AFRICA
GLOBAL
ASIA
URBAN WATER AND SANITATION
WATER RESOURCES MANAGEMENT
INTERVAL DE NOVO PROGRAMMING (IDNP)
WATER DISTRIBUTION
Date: 2009
Publisher: Elsevier
Abstract: This study presents an interval de Novo programming (IDNP) approach for the design of optimal waterresources- management systems under uncertainty. The model is derived by incorporating the existing interval programming and de Novo programming, allowing uncertainties represented as intervals within the optimization framework. The developed IDNP approach has the advantages in constructing optimal system design via an ideal system by introducing the flexibility toward the available resources in the system constraints. A simple numerical example is introduced to illustrate the IDNP approach. The IDNP is then applied to design an inexact optimal system with budget limit instead of finding the optimum in a given system with fixed resources in a water resources planning case. The results demonstrate that the developed method efficiently produces stable solutions under different objectives. Optimal supplies of good-quality water are obtained in considering different revenue targets of municipal–industrial–agricultural competition under a given budget.
ISSN: 0377-2217
URI: http://hdl.handle.net/10625/47910
Project Number: 103710
Project Title: ECOPOLIS Graduate Research and Design Competition (Global)
Access: IDRC Only
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