4.7 Article

A comprehensive optimum integrated water resources management approach for multidisciplinary water resources management problems

Journal

JOURNAL OF ENVIRONMENTAL MANAGEMENT
Volume 239, Issue -, Pages 211-224

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jenvman.2019.03.045

Keywords

Integrated water resources management (IWRM); epsilon-DSEA; Holistic approach; Many-objectives optimization; Diyala river basin; Environmental management

Funding

  1. Government of Iraq -Ministry of Higher Education and Scientific Research (MHESR)/University of Baghdad

Ask authors/readers for more resources

A holistic Integrated Water Resources Management (IWRM) model can be difficult to implement and the associated high-dimension optimization problems' complexity often forces the decision makers to downscale such problems. These challenges however have motivated this research to develop a comprehensive Optimum IWRM approach (OP-IWRM) using a many-objective optimization algorithm to solve complex and large-scale problems. The approach employs the social, economic, and environmental objectives; ground and surface water resources; and water infrastructure for river basin management to: (1) improve the relevant revenues, (2) enhance community welfare, and (3) pave the road for the decision makers to set better investment policy. The results demonstrate comprehensive improvement of all considered targets. The decision makers may reconsider implementing complex integrated water resources management of large-scale regions. The OP-IWRM may extend for country-scale approach as a pathway towards a national sustainable development plan. The large-scale Diyala river basin, Iraq, was adopted to evaluate the approach using seventeen objectives and more than 1500 decision variables.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available