Stochastic Nonlinear Programming Based on Uncertainty Analysis for DNAPL-Contaminated Aquifer Remediation Strategy Optimization-Reference-Cited by-同舟云学术

Stochastic Nonlinear Programming Based on Uncertainty Analysis for DNAPL-Contaminated Aquifer Remediation Strategy Optimization

Published:2018-01 Issue:1 Volume:144 Page:04017076
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Hou Zeyu¹,Lu Wenxi²

Affiliation:

1. Ph.D. Candidate, Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin Univ., Changchun 130021, China; Ph.D. Candidate, College of Environment and Resources, Jilin Univ., Changchun 130021, China.

2. Professor, Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin Univ., Changchun 130021, China; Professor, College of Environment and Resources, Jilin Univ., Changchun 130021, China (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0000863

Reference37 articles.

1. Ensemble of metamodels with optimized weight factors

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3. Determination of Irrigation Allocation Policy under Climate Change by Genetic Programming

4. Evaluation of Climatic-Change Impacts on Multiobjective Reservoir Operation with Multiobjective Genetic Programming

5. Risk Analysis of Water Demand for Agricultural Crops under Climate Change

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