School of Environment and Energy, South China University of Technology, Guangzhou 510006, PR China.
School of Environment and Energy, South China University of Technology, Guangzhou 510006, PR China; River Basin Research Center, Gifu University, 1-1 Yanagido, Gifu 501-1193, Japan.
Sci Total Environ. 2020 Nov 10;742:140400. doi: 10.1016/j.scitotenv.2020.140400. Epub 2020 Jun 20.
The design of biological treatment process for the coking wastewater (CW) is complicated since wastewater treatment demand is gradually increasing lacking the systematic strategy in efficiency evaluation and advisable selection. Therefore, this study develops a holistic approach by means of the analytic hierarchy process (AHP) that uses numerical representation to rank the preferences of each participating alternatives for evaluation of the advanced biological technologies in CW treatment. Based on survey results, six types reactor combinations were selected as the alternatives, which were further classified as two group according to COD load. The AHP methodology consists of weighting and ranking procedures considering technical, economic, environmental and administration factors defined as criteria layers. Eighteen indicators were chosen as sub-criteria layers. Inclusively beneficial and sustainable biological processes were assessed and ranked along the AHP implementation. The results placed technical indicators to the top position among the criteria layers in the weighting descending order 'technical indicators > economic indicators > environmental indicators > administrative indicators', whereas the weight of indicators in sub-criteria layers fitted in the range of 0.005 to 0.151. The inclusive priority calculation integrating all weight indices of criteria and sub-criteria layers resulted in the anaerobic-anoxic-oxic (A/A/O) combination rising in the hierarchy of the low load group, whereas the oxic-hydrolytic-oxic (O/H/O) process was prioritized in the high load group. The accuracy and objectivity of AHP application was also supported by sensitivity and variability analyses that examines a range for the weights' values and corresponding to alternative scenarios.
针对焦化废水 (CW) 的生物处理工艺设计较为复杂，因为废水处理需求逐渐增加，但在效率评估和合理选择方面缺乏系统策略。因此，本研究采用层次分析法 (AHP) 开发了一种整体方法，该方法使用数值表示对每个参与替代方案的偏好进行排名，以评估 CW 处理中的先进生物技术。根据调查结果，选择了六种类型的反应器组合作为替代方案，并根据 COD 负荷进一步分为两组。AHP 方法学包括加权和排序程序，考虑了定义为标准层的技术、经济、环境和管理因素。选择了十八个指标作为子准则层。通过 AHP 的实施，对有利和可持续的生物过程进行了评估和排序。结果将技术指标置于加权降序“技术指标>经济指标>环境指标>管理指标”中的标准层首位，而子准则层中指标的权重范围在 0.005 到 0.151 之间。综合考虑所有标准和子准则层的权重指标的包容性优先级计算得出，在低负荷组中，厌氧-缺氧-好氧 (A/A/O) 组合上升到层次结构的首位，而在高负荷组中，好氧-水解-好氧 (O/H/O) 过程被优先考虑。敏感性和可变性分析也支持 AHP 应用的准确性和客观性，该分析检查了权重值的范围以及相应的替代方案。
