Department of Chemical Engineering and Materials Science, University of California, Davis, 95616, USA.
J Environ Manage. 2010 Jan-Feb;91(3):630-7. doi: 10.1016/j.jenvman.2009.09.026. Epub 2009 Nov 25.
Urban water planning and policy have been focusing on environmentally benign and economically viable water management. The objective of this study is to develop a mathematical model to integrate and optimize urban water infrastructures for supply-side planning and policy: freshwater resources and treated wastewater are allocated to various water demand categories in order to reduce contaminants in the influents supplied for drinking water, and to reduce consumption of the water resources imported from the regions beyond a city boundary. A case study is performed to validate the proposed model. An optimal urban water system of a metropolitan city is calculated on the basis of the model and compared to the existing water system. The integration and optimization decrease (i) average concentrations of the influents supplied for drinking water, which can improve human health and hygiene; (ii) total consumption of water resources, as well as electricity, reducing overall environmental impacts; (iii) life cycle cost; and (iv) water resource dependency on other regions, improving regional water security. This model contributes to sustainable urban water planning and policy.
城市水规划和政策一直侧重于环境友好和经济可行的水资源管理。本研究的目的是开发一个数学模型,以整合和优化城市水基础设施的供应侧规划和政策:将淡水资源和处理后的废水分配到各种水需求类别,以减少饮用水供应中污染物的浓度,并减少从城市边界以外的地区进口的水资源消耗。进行了案例研究以验证所提出的模型。根据模型计算出一个大都市的最优城市水系统,并将其与现有水系统进行比较。整合和优化降低了:(i)饮用水供应的平均浓度,从而改善了人类健康和卫生;(ii)水资源和电力的总消耗量,从而减少了整体环境影响;(iii)生命周期成本;以及(iv)对其他地区水资源的依赖程度,提高了区域水安全。该模型有助于可持续的城市水规划和政策。