River water quality management considering agricultural return flows: application of a nonlinear two-stage stochastic fuzzy programming

Environmental Monitoring and Assessment
Ali TavakoliMaryam Soltani

Abstract

In this paper, a new fuzzy methodology is developed to optimize water and waste load allocation (WWLA) in rivers under uncertainty. An interactive two-stage stochastic fuzzy programming (ITSFP) method is utilized to handle parameter uncertainties, which are expressed as fuzzy boundary intervals. An iterative linear programming (ILP) is also used for solving the nonlinear optimization model. To accurately consider the impacts of the water and waste load allocation strategies on the river water quality, a calibrated QUAL2Kw model is linked with the WWLA optimization model. The soil, water, atmosphere, and plant (SWAP) simulation model is utilized to determine the quantity and quality of each agricultural return flow. To control pollution loads of agricultural networks, it is assumed that a part of each agricultural return flow can be diverted to an evaporation pond and also another part of it can be stored in a detention pond. In detention ponds, contaminated water is exposed to solar radiation for disinfecting pathogens. Results of applying the proposed methodology to the Dez River system in the southwestern region of Iran illustrate its effectiveness and applicability for water and waste load allocation in rivers. In the planni...Continue Reading

References

Apr 14, 2011·Journal of Environmental Management·S Wang, G H Huang
Jul 10, 2012·Environmental Monitoring and Assessment·Mohammad Reza NikooAli Asghar Azadnia
Jun 2, 2014·Environmental Monitoring and Assessment·Ali TavakoliSiamak Malakpour Estalaki

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Citations

Jun 26, 2018·Environmental Science and Pollution Research International·Maryam SoltaniHamideh Noory
Sep 8, 2021·Environmental Science and Pollution Research International·Yalda Norouzi GharakezlooMehrdad Ghorbani Mooselu

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