Cost-effectiveness-based multi-criteria optimization for sustainable rainwater utilization: A case study in Shanghai
Cost-effectiveness-based multi-criteria optimization for sustainable rainwater utilization: A case study in Shanghai
复制标题
基于成本效益的可持续雨水利用多标准优化：以上海为例
DOI：
10.1080/1573062x.2012.682591
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发表时间：
2013-03
影响因子：
2.7
通讯作者：
Jian, Yun
中科院分区：
文献类型：
--
作者：
Che, Yue;Shang, Zhao Yi;Zhu, Hui Feng;Jian, Yun
上海作为中国的经济中心，正面临着饮用水短缺、城市洪涝和城市化带来的地表水污染等日益严重的压力。雨水利用作为解决这些问题的最佳对策之一，在缓解这些问题方面发挥着相当重要的作用。提出了一种基于成本效益的多准则优化（CEMCO）四步法，该方法综合了监测数据、基于货币的技术和利益相关者偏好的优点，用于雨水可持续利用。以上海市第一个城市居住区雨水利用系统为例，提出了8种方案。研究结果表明，优化后的系统在15年生命周期内的净现值为40.74万CNY，动态投资回收期为8.26年。结果还表明，雨水利用可以提高城市的可持续性时，不同的利益相关者的偏好和多个标准被考虑。
Shanghai, the economic centre of China, is under increasing pressures of potable water shortage, urban flooding and surface water pollution by urbanization. As one of the best countermeasures, rainwater utilization plays a considerably important role in the alleviation of these issues. A four-step method of cost-effectiveness-based multi-criteria optimization (CEMCO), which integrates the advantages of monitoring data, monetary-based techniques and stakeholder preferences, was proposed for sustainable rainwater utilization. The first rainwater utilization system in the urban residential area of Shanghai was taken as a case study, and eight alternatives to the existing system were proposed. The results of the study showed that the net present value and the dynamic payback period of the optimized system during the 15-year life cycle were 407.4 thousand CNY (ChiNa Yuan) and 8.26 years, respectively. The results also indicated that rainwater utilization can improve the sustainability of cities when different stakeholder preferences and multiple criteria were considered.
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影响因子：
11.4
作者：
R. Rangarajan;P. Ghosh
通讯作者：
R. Rangarajan;P. Ghosh
影响因子：
9.9
作者：
Abdulla, Fayez A.;Al-Shareef, A. W.
通讯作者：
Al-Shareef, A. W.
DOI：
10.1016/s1462-0758(00)00028-5
发表时间：
2000-12
期刊：
Urban Water
影响因子：
--
作者：
M. Zaizen;T. Urakawa;Y. Matsumoto;H. Takai
通讯作者：
M. Zaizen;T. Urakawa;Y. Matsumoto;H. Takai
影响因子：
15.9
作者：
D. Talavera;G. Nofuentes;J. Aguilera;M. Fuentes
通讯作者：
D. Talavera;G. Nofuentes;J. Aguilera;M. Fuentes
影响因子：
13.2
作者：
V. Tam;Leona Tam;S. Zeng
通讯作者：
V. Tam;Leona Tam;S. Zeng