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Optimal location of artificial recharge of treated wastewater using fuzzy logic approach

2017; UWA Publishing; Volume: 66; Issue: 3 Linguagem: Inglês

10.2166/aqua.2017.049

1365-2087

Alireza Ghasemi, Bahram Saghafian, Saeed Golian,

Water Systems and Optimization

Research Article| January 31 2017 Optimal location of artificial recharge of treated wastewater using fuzzy logic approach Alireza Ghasemi; Alireza Ghasemi 1Technical and Engineering Department, Science and Research Branch, Islamic Azad University, Tehran, Iran Search for other works by this author on: This Site PubMed Google Scholar Bahram Saghafian; Bahram Saghafian 1Technical and Engineering Department, Science and Research Branch, Islamic Azad University, Tehran, Iran E-mail: b.saghafian@gmail.com Search for other works by this author on: This Site PubMed Google Scholar Saeed Golian Saeed Golian 2Department of Civil Engineering, Shahrood University of Technology, Shahrood, Iran Search for other works by this author on: This Site PubMed Google Scholar Journal of Water Supply: Research and Technology-Aqua (2017) 66 (3): 141–156. https://doi.org/10.2166/aqua.2017.049 Article history Received: May 16 2016 Accepted: November 21 2016 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Cite Icon Cite Permissions Search Site Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsThis Journal Search Advanced Search Citation Alireza Ghasemi, Bahram Saghafian, Saeed Golian; Optimal location of artificial recharge of treated wastewater using fuzzy logic approach. Journal of Water Supply: Research and Technology-Aqua 1 May 2017; 66 (3): 141–156. doi: https://doi.org/10.2166/aqua.2017.049 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Increasing water demands in light of limited water resources have intensified exploitation and drawdown of groundwater. On the other hand, rising water demand has accelerated wastewater production. Therefore, urban wastewater management via artificial recharge may play a significant role in aquifer management. While site selection for artificial recharge projects is a major challenge, fuzzy logic provides one of the most viable approaches for this purpose. Considering the high volume of wastewater production in Tehran, Iran, the present study investigated the efficient use of this source for recharging the Tehran-Shahriar aquifer. First, effective wastewater and recharge factors were identified. Next, fuzzy logic was used to assign appropriate weights to data layers. Then, the selected layers were merged to produce an artificial recharge location map. The results showed that the identified areas were sufficiently vast to recharge the planned volumes of treated wastewater. However, the identified areas and the gradient of groundwater flow will limit the positive impacts of recharge on the aquifer. All in all, the fuzzy site selection model implemented via geographical information system is an efficient tool to identify suitable sites for artificial recharge of aquifers with treated wastewater. artificial recharge, fuzzy logic, geographical information system, groundwater, treated wastewater © IWA Publishing 2017 Supplementary data Appendix- docx file You do not currently have access to this content.