Optimal water allocation in Iran: a dynamic bi-level programming model
Author(s) -
Liming Yao,
Zhongwen Xu,
Mahdi Moudi,
Zongmin Li
Publication year - 2018
Publication title -
water science and technology water supply
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.318
H-Index - 39
eISSN - 1607-0798
pISSN - 1606-9749
DOI - 10.2166/ws.2018.165
Subject(s) - water scarcity , recession , agriculture , resource (disambiguation) , water resources , natural resource economics , poverty , water resource management , scarcity , resource allocation , environmental economics , business , economics , environmental science , computer science , geography , economic growth , microeconomics , market economy , computer network , ecology , archaeology , keynesian economics , biology
Water resource scarcity increases societal instability, poverty, and economic recession. Therefore, sound water resource management is vital to alleviating water crises in the agricultural, domestic, and industrial sectors. Southeast Iran, which currently lacks good water resource management, is experiencing a severe water crisis. Taking Zabol and Zahedan as examples, this paper seeks to optimize water allocation between the two cities using a dynamic bi-level programming model; the upper level objective minimizes the deviation between water demand and supply, and the lower level objective maximizes the net economic benefits in each sector. A sensitivity analysis is then conducted on the different sources of available water to provide more information on water allocation over time.
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