2021
DOI: 10.1016/j.scs.2020.102531
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Evaluation of the effects of climate change on thermal stratification of reservoirs

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Cited by 33 publications
(8 citation statements)
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“…The adequate representation of the seasonal progression of the surface temperature has been evidenced in other studies, such as the studies of the Nechako [28] and Soyanggang [59] reservoirs. In the middle zone and near the dam, the surface area presents high values due to low mobility and high retention; this observation was also reported by Azadi et al (2021) [60]. Other studies have shown strong correlations between air temperature and water temperature [36].…”
Section: Water Quality Simulationsupporting
confidence: 78%
“…The adequate representation of the seasonal progression of the surface temperature has been evidenced in other studies, such as the studies of the Nechako [28] and Soyanggang [59] reservoirs. In the middle zone and near the dam, the surface area presents high values due to low mobility and high retention; this observation was also reported by Azadi et al (2021) [60]. Other studies have shown strong correlations between air temperature and water temperature [36].…”
Section: Water Quality Simulationsupporting
confidence: 78%
“…The global warming contributes the change in surrounding atmosphere by increasing local temperature and variability in rainfall. Globally this situation is expected to affect the hydrological processes [ [ [1] , [2] , [3] , [4] , [5] , [6] , [7] , [8] ]]. In recent years, the changing climate effects analysis conducted at different function of water sources worldwide for instance Refs.…”
Section: Introductionmentioning
confidence: 99%
“…Hence, the availability of the observed data plays a crucial role in the process of choosing appropriate models (Raju & Kumar, 2020). Among the extensive range of hydrological models, scholars emphasize the importance of SWAT (Fan & Shibata, 2015) and IHACRES (Azadi et al, 2021). Within water planning and assessment frameworks, Moghadam et al combined IHACRES with the Groundwater Modeling System (GMS) to model runoff results and predict water levels.…”
Section: Introductionmentioning
confidence: 99%