Chance-Constrained Dynamic Programming for Multiple Water Resources Allocation Management Associated with Risk-Aversion Analysis: A Case Study of Beijing, China-Reference-Cited by-同舟云学术

Chance-Constrained Dynamic Programming for Multiple Water Resources Allocation Management Associated with Risk-Aversion Analysis: A Case Study of Beijing, China

Published:2017-08-11 Issue:8 Volume:9 Page:596
ISSN:2073-4441
Container-title:Water
language:en
Short-container-title:Water

Author:

Li Wei,Jiao Kuo^ORCID,Bao Zhe,Xie Yulei,Zhen Jiliang,Huang Guohe,Fu Lingbo

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

Link

http://www.mdpi.com/2073-4441/9/8/596/pdf

Reference29 articles.

1. Inexact Two-Stage Stochastic Robust Optimization Model for Water Resources Management Under Uncertainty

2. Predicting Multiple Functions of Sustainable Flood Retention Basins under Uncertainty via Multi-Instance Multi-Label Learning

3. A risk-based interactive multi-stage stochastic programming approach for water resources planning under dual uncertainties

4. An Optimization Approach for Multi-Sectoral Water Supply Management in the Greater Beirut Area

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