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An Integrated Methodology Using Extended Swara and Dea for the Performance Analysis of Wastewater Treatment Plants: Turkey Case
Environmental Management ( IF 2.7 ) Pub Date : 2020-10-30 , DOI: 10.1007/s00267-020-01381-7
Ertugrul Ayyildiz , Aslihan Yildiz , Alev Taskin Gumus , Coskun Ozkan

Public and private companies make significant water infrastructure investments to meet increasing water demand. In this context, investments in wastewater treatment plants (WWTPs), which play an important role in recycling of used water, are also increasing. This study investigates determination of the efficiency scores of WWTPs considering each metropolitan municipality as a decision-making unit (DMU). In this study, a two-step methodology is established to determine efficiency scores of WWTPs. In the first step, the input and output parameters are searched by a literature review for the performance evaluation, and candidate parameters are determined. Then, to determine the most appropriate and related parameters, the importance weights of all candidate inputs and outputs are computed using the extended stepwise weight assessment ratio analysis (SWARA) method. Next, the inputs and outputs are chosen according to their importance weights. In the second step, efficiency scores of WWTPs are calculated using output-oriented data envelopment analysis (DEA) models. Based on the expert opinions, the parameters used as input variables are as follows: Daily Wastewater Amount per Person Discharged in Municipalities, WWTP Capacity, and Number of WWTPs; and the parameters used as output variables are as follows; Amount of Wastewater Treated in WWTPs and Municipal Population Served by WWTPs. The results are presented and discussed by sensitivity analysis. Results show that 14 metropolitan municipalities have total efficiency, 19 metropolitan municipalities have technical efficiency, and 21 metropolitan municipalities have scale efficiency.

中文翻译:

使用扩展 Swara 和 Dea 进行污水处理厂性能分析的综合方法:土耳其案例

公共和私营公司进行大量水基础设施投资,以满足日益增长的用水需求。在此背景下,对污水处理厂 (WWTP) 的投资也在增加,污水处理厂在废水回收利用方面发挥着重要作用。本研究调查了将每个大都市作为决策单位 (DMU) 的污水处理厂效率得分的确定。在这项研究中,建立了一个两步法来确定污水处理厂的效率得分。第一步,通过文献综述搜索输入和输出参数以进行性能评估,并确定候选参数。然后,确定最合适的相关参数,使用扩展的逐步权重评估比率分析 (SWARA) 方法计算所有候选输入和输出的重要性权重。接下来,根据其重要性权重选择输入和输出。第二步,使用面向产出的数据包络分析(DEA)模型计算污水处理厂的效率得分。根据专家意见,作为输入变量的参数如下: 城市人均日污水排放量、污水处理厂容量、污水处理厂数量;用作输出变量的参数如下;污水处理厂处理的废水量和污水处理厂服务的城市人口。结果通过敏感性分析进行呈现和讨论。结果显示,14 个大都市区具有总效率,
更新日期:2020-10-30
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