Minimizing physical habitat impacts at downstream of diversion dams by a multiobjective optimization of environmental flow regime

Sedighkia, Mahdi, Datta, Bithin, and Abdoli, Asghar (2021) Minimizing physical habitat impacts at downstream of diversion dams by a multiobjective optimization of environmental flow regime. Environmental Modelling & Software, 140. 105029.

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Abstract

Present study links physical habitat simulation with the irrigation loss function to assess optimal environmental flow regime. The main motivation is Lack of optimization framework in the structure of reliable environmental flow methods such as physical habitat simulation. Data-driven model was used to simulate physical habitats. Moreover, a multi objective particle swarm optimization was utilized to optimize environmental flow regime by considering two objective functions including weighted useable area function and normalized benefit function for irrigation demand. Based on results, physical habitat data-driven model was robust to assess habitat suitability. Moreover, proposed multi objective optimization model is able to assess environmental flow properly. In the case study, physical habitat impact was minimized to 30% that means 70% of useable habitats would be protected. In contrast, 60% of maximum requested water demand would be supplied which implies a fair balance between demand and environmental flow.

Item ID: 70385
Item Type: Article (Research - C1)
ISSN: 1873-6726
Keywords: Adaptive neuro fuzzy inference system, Multi objective, Particle swarm optimization, Physical habitat, Two-dimensional hydraulic model
Copyright Information: © 2021 Elsevier Ltd. All rights reserved.
Date Deposited: 16 Feb 2022 00:28
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 @ 100%
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