Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing 210098, China.
School of Architecture and Civil Engineering, Xiamen University, Xiamen 361000, China.
Int J Environ Res Public Health. 2023 Jan 25;20(3):2183. doi: 10.3390/ijerph20032183.
Community-based rainwater utilization (CB-RWU) has the advantage of easy maintenance and multiple benefits. However, its promotion proves to be a complicated task due to difficulties in quantifying and evaluating external benefits. This study integrated the life cycle assessment (LCA) with a multi-objective optimization model to optimize the relationship among all stages of CB-RWU, considering the trade-offs among the benefit-cost ratio, water-saving efficiency and environmental impact. The LCA results identified abiotic depletion potential for fossil fuels (ADPF) as the key impact indicators throughout the life cycle of CB-RWU. The optimal solution from the lexicographic method was 0.3098, 28.47% and 24.68 MJ for the benefit-cost ratio, water-saving efficiency and ADPF, respectively. Compared with the traditional optimization method, the lexicographic method improved the three object functions by 26%, 43% and 14%, respectively. The uncertainty of the environmental impact was the highest (C = 0.633) with variations in the floor area ratio, total runoff coefficient and reservoir volume. Changes in the total runoff coefficient were the main source of the uncertainty, which suggested that more attention should be paid to the area ratio of each underlying surface. In addition, economic support from the government is urgently required for the further promotion and development of CB-RWU.
基于社区的雨水利用(CB-RWU)具有易于维护和多种效益的优点。然而,由于难以量化和评估外部效益,其推广被证明是一项复杂的任务。本研究将生命周期评价(LCA)与多目标优化模型相结合,以优化 CB-RWU 所有阶段之间的关系,同时考虑效益-成本比、节水效率和环境影响之间的权衡。LCA 结果确定化石燃料不可再生潜能(ADPF)为 CB-RWU 生命周期内的关键影响指标。字典方法的最优解分别为效益-成本比、节水效率和 ADPF 的 0.3098、28.47%和 24.68 MJ。与传统优化方法相比,字典方法分别提高了三个目标函数 26%、43%和 14%。环境影响的不确定性最高(C = 0.633),与建筑面积比、总径流量系数和水库容积的变化有关。总径流量系数的变化是不确定性的主要来源,这表明应更加关注每个下垫面的面积比。此外,迫切需要政府提供经济支持,以进一步推广和发展 CB-RWU。