- Adulbhan, P. and Tabucanon, M.T. (1977). Bicriterion linear programming. Computers and Operations Research, 4(2): 147-153.
- Ahmad, I., and Tang, D. (2016). Multi-objective linear programming for optimal water allocation based on satisfaction and economic criterion. Arab J. Sci. Eng., 41: 1421-1433.
- Ahmad, I., Zhang, F., Liu, J., Anjum, M.N., and Zaman, M. (2018). A linear bi-level multi-objective program for optimal allocation of water resources. PLOS ONE, 13(2): e0192294, 13(2).
- Akbari, N., Niksokhan, M. and Ardestani, M. (2014). Optimization of water allocation using cooperative game theory, case study: Zayandehroud Basin. Journal of Environmental Studies, 40(4): 875-889. (Persian)
- Babel, M.S., Gupta, A.D. and Nayak, D.K. (2005). A model for optimal allocation of water to competing demands. Water Resouce Management, 19: 693-712.
- Divakar, L., Babel, M.S., Perret, S.R. and Gupta, A.D. (2013). Optimal water allocation based on satisfaction and economic benefits. International Journal of Water, 7: 363-381.
- Freire-González, J., Decker, C.A. and Hall, J.W. (2018). A linear programming approach to water allocation during a drought. Water, 363(10).
- Habibi Davijani, M., Banihabib, M.E., Najafzadeh Anvar, A. and Hashemi, S.R. (2016). Multi-objective optimization model for the allocation of water resources in arid regions based on the maximization of socioeconomic efficiency. Water Resource Management, 30(3): 927-946.
- Kaviani Rad, M. (2016). Challenges of hydropolitics and water security in Iran. National Security Observer Monthly, 56: 23-28. (Persian)
- Khoshakhlagh, R., and Dehghanizadeh, M. (2006). Investigating the need of economic sectors of Yazd province to the labor force using the data-output table. Knowledge and Development, 18: 127-153. (Persian)
- Mubakoa, S., Lahirib, S., and Lantc, C. (2013). Input-output analysis of virtual water transfers: case study of California and Illinois. Ecological Economics, 93: 230-238.
- Pourasghar, F., and Ebrahimi, M. (2018). Investigating the effects of water regulation programs in neighboring countries on common border basins on Iran. Tehran: Plan and Budget Organization, Development and Foresight Research Center. (Persian)
- RWC (2018). Adaptation program with water scarcity in Yazd province. Yazd: Regional Water Company (RWC) of Yazd. (Persian)
- Shahraki, J. and Mohseni, S. (2013). Compromise multi criteria decision making application in water resources optimal allocation: a case study of Yazd city. Irrigation and Water Engineering, 3(4): 107-117. (Persian)
- SCI (2020a). Iran's national accounts (base year = 2011), for 2011-2015. Statistical Center of Iran (SCI).Available at https://www.amar.org.ir. Retrieved at 05 April, 2020. (Persian)
- SCI (2020b). Iran's regional accounts, for 2011-2015. Statistical Center of Iran (SCI).Available at https://www.amar.org.ir. Retrieved at 12 April, 2020. (Persian)
- UN-Water (2018). Nature-based solutions for water. The United Nations World Water Development Report 2018. Paris: UNESCO.
- UNESCO, U.-W. (2020). Water and climate change. United Nations World Water Development Report 2020. Paris: UNESCO.
- Xu, M., Li, C., Wang, X., Cai, Y. and Yue, W. (2018). Optimal water utilization and allocation in industrial sectors based on water footprint accounting in Dalian city, China. Journal of Cleaner Production, 176: 1283-1291.
|