A simulation-optimization framework for reducing thermal pollution downstream of reservoirs

Sedighkia, Mahdi, Datta, Bithin, and Razavi, Saman (2022) A simulation-optimization framework for reducing thermal pollution downstream of reservoirs. Water Quality Research Journal, 57 (4). pp. 291-303.

[img]
Preview
PDF (Published Version) - Published Version
Available under License Creative Commons Attribution.

Download (974kB) | Preview
View at Publisher Website: https://doi.org/10.2166/wqrj.2022.018
 
471


Abstract

Thermal pollution is an environmental impact of large dams altering the natural temperature regime of downstream river ecosystems. The present study proposes a simulation-optimization framework to reduce thermal pollution downstream from reservoirs and tests it on a real-world case study. This framework attempts to simultaneously minimize the environmental impacts as well as losses to reservoir objectives for water supply. A hybrid machine-learning model is applied to simulate water temperature downstream of the reservoir under various operation scenarios. This model is shown to be robust and achieves acceptable predictive accuracy. The results of simulation-optimization indicate that the reservoir could be operated in such a way that the natural temperature regime is reasonably preserved to protect downstream habitats. Doing so, however, would result in significant trade-offs for reservoir storage and water supply objectives. Such trade-offs can undermine the benefits of reservoirs and need to be carefully considered in reservoir design and operation.

Item ID: 76888
Item Type: Article (Research - C1)
ISSN: 2709-8052
Keywords: BBO, hybrid machine-learning model, optimal operation, thermal pollution, water supply
Copyright Information: This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY 4.0), which permits copying, adaptation and redistribution, provided the original work is properly cited (http://creativecommons.org/licenses/by/4.0/).
Date Deposited: 30 Nov 2022 07:51
FoR Codes: 40 ENGINEERING > 4005 Civil engineering > 400513 Water resources engineering @ 100%
SEO Codes: 18 ENVIRONMENTAL MANAGEMENT > 1803 Fresh, ground and surface water systems and management > 180399 Fresh, ground and surface water systems and management not elsewhere classified @ 50%
18 ENVIRONMENTAL MANAGEMENT > 1803 Fresh, ground and surface water systems and management > 180307 Rehabilitation or conservation of fresh, ground and surface water environments @ 50%
Downloads: Total: 471
Last 12 Months: 17
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page