A fuzzy-topsis decision-making model for selections of wetland technology for greywater treatment

Abstract

The use of constructed wetlands for improving greywater treatment by improving nutrient removal at a lower cost than conventional methods has recently attracted renewed interest. The majority of these studies have predominantly pre-defined a wetland configuration for wastewater treatment, which introduces a lot of empiricism in decision-making. To address this problem, this study aims to develop a Decision Support System (DSS) for the selection, design, and optimization of constructed wetlands technologies (CWT) during greywater treatment. To evaluate WT for greywater treatment and determine which physic-chemical and microbial properties need to be treated. A multicriteria decision-making (MCDM) tool is used simultaneously with a conformity assessment. The DSS was developed after a thorough review of the literature on the design and implementation of various WT (HFWSF, HSSF, VSSF, and VFSF) and greywater characteristics using Microsoft Visual Studio 2010. This study is interesting in that, it integrates contextual data (wastewater characteristics) with WT removal efficiency characteristics to assist you in selecting the best WT. Typha domingensi and Hyacinth (Eichhornia crassipes) were effective at removing contaminants when combined with HFWSF WT. After four-month of study, The HFWSF CWT treatment with hyacinth was found to be effective. for the HFWSF-CWT treatment with hyacinth, the removal efficiency of Faecal coliform, Total coliform, Oil and Grease, Ammonia, Total Phosphate, and COD. 78.46%, 74.33%, 73.08%, 69.23%, 25.29%, and 80% respectively. DSS decision on HFWSF-CWT DSS has demonstrated that it is a competently designed noval dashboard for choosing CWT for the treatment of greywater.