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A model for the global optimization of water prices and usage for the case of spatially distributed sources and consumers

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  • Ioslovich, Ilya
  • Gutman, Per-Olof

Abstract

Different problems addressed to the efficiency of the water use and allocation are of great importance in numerous regions including Middle East. Water scarcity is the foremost problem for which solutions are urgently needed. Water prices can be considered as an instrument for satisfactory water allocation and must be justified in a satisfactory way. The significant water losses in distribution also must be taken into consideration. In this paper, an extended model of the water allocation for urban, agricultural and other secondary users is presented. The spatial system of conveyance channels is considered. These channels are of two kind: channels for fresh water and channels for treated water. Each user is assumed to have an efficiency function for all kinds of the consumed water. For this purpose the model of Chakravorty et al. (CHZ model) [J. Environ. Econ. Manage. 29 (1995) 25] is modified. Use of desalinated water and re-use of the treated waste water are also considered. A global optimization method is applied provided with conditions of optimality (transversality conditions). Both water allocation and shadow prices could be found from these conditions.

Suggested Citation

  • Ioslovich, Ilya & Gutman, Per-Olof, 2001. "A model for the global optimization of water prices and usage for the case of spatially distributed sources and consumers," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 56(4), pages 347-356.
    • Handle: RePEc:eee:matcom:v:56:y:2001:i:4:p:347-356
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    Cited by:

    1. Hu, Zhineng & Chen, Yazhen & Yao, Liming & Wei, Changting & Li, Chaozhi, 2016. "Optimal allocation of regional water resources: From a perspective of equity–efficiency tradeoff," Resources, Conservation & Recycling, Elsevier, vol. 109(C), pages 102-113.
    2. Zeyu Wang & Juqin Shen & Fuhua Sun & Zhaofang Zhang & Dandan Zhang & Yizhen Jia & Kaize Zhang, 2019. "A Pricing Model for Groundwater Rights in Ningxia, China Based on the Fuzzy Mathematical Model," IJERPH, MDPI, vol. 16(12), pages 1-20, June.
    3. Xiuli Liu & Xikang Chen & Shouyang Wang, 2009. "Evaluating and Predicting Shadow Prices of Water Resources in China and Its Nine Major River Basins," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(8), pages 1467-1478, June.

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