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

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• 作者：Ali Tavakoli (1)
  Mohammad Reza Nikoo (2)
  Reza Kerachian (3)
  Maryam Soltani (1)
  
  1. School of Civil Engineering ; College of Engineering ; University of Tehran ; Tehran ; Iran
  2. School of Engineering ; Department of Civil and Environmental Engineering ; Shiraz University ; Shiraz ; Iran
  3. School of Civil Engineering and Center of Excellence for Engineering and Management of Civil Infrastructures ; College of Engineering ; University of Tehran ; Tehran ; Iran
  
• 关键词：QUAL2Kw ; SWAP ; Uncertainty analysis ; Water and waste load allocation ; Water quality
• 刊名：Environmental Monitoring and Assessment
• 出版年：2015
• 出版时间：April 2015
• 年：2015
• 卷：187
• 期：4
• 全文大小：2,753 KB
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• 刊物类别：Earth and Environmental Science
• 刊物主题：Environment
  Monitoring, Environmental Analysis and Environmental Ecotoxicology
  Ecology
  Atmospheric Protection, Air Quality Control and Air Pollution
  Environmental Management
  
• 出版者：Springer Netherlands
• ISSN：1573-2959

文摘

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 planning phase, this methodology can be used for estimating the capacities of return flow diversion system and evaporation and detention ponds.