NDLI: A stochastic optimization approach for integrated urban water resource planning.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Huang, Y. Chen, J. Zeng, S. Sun, F. Dong, X.
Spatial Coverage	China
Description	Country affiliation: China Author Affiliation: Huang Y ( School of Environment, Tsinghua University, Beijing, 100084, China.)
Abstract	Urban water is facing the challenges of both scarcity and water quality deterioration. Consideration of nonconventional water resources has increasingly become essential over the last decade in urban water resource planning. In addition, rapid urbanization and economic development has led to an increasing uncertain water demand and fragile water infrastructures. Planning of urban water resources is thus in need of not only an integrated consideration of both conventional and nonconventional urban water resources including reclaimed wastewater and harvested rainwater, but also the ability to design under gross future uncertainties for better reliability. This paper developed an integrated nonlinear stochastic optimization model for urban water resource evaluation and planning in order to optimize urban water flows. It accounted for not only water quantity but also water quality from different sources and for different uses with different costs. The model successfully applied to a case study in Beijing, which is facing a significant water shortage. The results reveal how various urban water resources could be cost-effectively allocated by different planning alternatives and how their reliabilities would change.
File Format	HTM / HTML
ISSN	02731223
Issue Number	7
Volume Number	67
e-ISSN	19969732
Journal	Water Science & Technology
Language	English
Publisher	IWA Publishing
Publisher Date	2013-01-01
Publisher Place	Great Britain (UK)
Access Restriction	Subscribed
Subject Keyword	Discipline Hydrology City Planning Water Supply Algorithms China Cities Decision Support Techniques Nonlinear Dynamics Recycling Uncertainty Journal Article Research Support, Non-u.s. Gov't
Content Type	Text
Resource Type	Article
Subject	Environmental Engineering Water Science and Technology

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