Developing a framework for assessment of climate change impact on thermal stratification of dam reservoirs

Firoozi, Fatemeh; Roozbahani, Abbas; Bavani, Alireza Massah

doi:10.1007/s13762-019-02544-8

Cited by 17 publications

(8 citation statements)

References 39 publications

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“…These results demonstrate that the air temperature has been increasing during the 46 years included in the study, that the daily minimum air temperature shows an increasing trend, and that the seasonal increases in the daily minimum air temperature were greater in the fall and winter compared to the spring and summer. These trends are similar to those observed in other studies outside Korea [6,8,11].…”

Section: Resultssupporting

confidence: 92%

“…The statistics S is closely related to Kendall's τ, as given by (5) where (6) According to Hirsch et al [42], the seasonal Mann-Kendall statistic, , for the entire series is calculated according to (7) For the Sen's slope [46], a set of linear slopes is calculated as follows: (8) for (1≤ i < j ≤ n), where d is the slope, X denotes the variable, n is the number of data points, and i and j are the indices. Sen's slope is then calculated as the median from all slopes; b=Median d k .…”

Section: Analysis Of Air and Water Temperature Trends At Lake Paldangmentioning

confidence: 99%

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Long-term relationship between air and water temperatures in Lake Paldang, South Korea

Ryu

Park

et al. 2020

Environmental Engineering Research

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A long-term investigation into the relationship between air and water temperatures was conducted in Lake Paldang, which is the largest water source in South Korea, by studying hysteresis. From 1973 to 2018, the annual mean air temperature increased by 0.05°C/yr (seasonal Sen’s slope). The results of a numerical model (R > 0.86) showed that the ratios of the air and water temperatures increased (0.71‒0.77) in the rising limb and decreased (0.70‒0.76) in the falling limb. However, the intercept values were 0.13–3.52 and 6.62–7.78 in the rising and falling limbs, respectively, and hence there was a 4–5°C increase in temperature. In particular, in 2015, 2016, and 2018, the intercept values in the falling limb were ≥ 7, exhibiting hysteresis, whereby high water temperatures were slow to decline. Lake Paldang showed stronger water temperature hysteresis than its influent rivers and stream. The rising and falling limbs did not show a large difference in the extent of water temperature change (slope). However, the water temperature did not decrease rapidly, and the decrease continued for longer due to hysteresis, which is a type of inertia where the elevated temperature persists if the summer air temperature is significantly increased.

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Section: Resultssupporting

confidence: 92%

Section: Analysis Of Air and Water Temperature Trends At Lake Paldangmentioning

confidence: 99%

Long-term relationship between air and water temperatures in Lake Paldang, South Korea

Ryu

Park

et al. 2020

Environmental Engineering Research

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“…In the literature, a variety of studies have addressed the impact of land use and occupation (e.g., [1]), as well as climate change [18], on the hydrological characteristics of basins and receiving water bodies. Some have studied the impact of climate on hydrodynamics, including the thermal stratification patterns of lakes [19][20][21][22][23]. Others estimated pollutant loads and modeled water quality in different environments [2,13,24].…”

Section: Introductionmentioning

confidence: 99%

“…Others estimated pollutant loads and modeled water quality in different environments [2,13,24]. Additionally, several studies have coupled hydrological models to hydrodynamic models [21,25,26]. However, to the authors' knowledge, the coupling of the Storm Water Management Model-SWMM [27] to the CE-QUAL-W2 model [28] has not been performed in previous studies.…”

Section: Introductionmentioning

confidence: 99%

Coupling Hydrological and Hydrodynamic Models for Assessing the Impact of Water Pollution on Lake Evaporation

Mesquita

Neto

2022

Sustainability

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The present study evaluated the impact of hydrological variability on the hydrodynamics of an urban lake in Brazil, considering water quality dynamics and its effects on evaporation. The Storm Water Management Model (SWMM) was applied to the lake basin, and the two-dimensional model CE-QUAL-W2 was used to simulate the hydrodynamics and lake evaporation. The two models were coupled to carry out the integrated basin-lake modeling. Then, two water quality models were applied: a transient complete mixing model and an empirical model based on wind speed. Time series of total phosphorus (TP) were generated, and empirical correlations between TP and hydrological variables were proposed. Modeled TP and measured biochemical oxygen demand (BOD) were correlated with monthly Class A pan coefficients (K) adjusted for the lake. The K-values were negatively correlated with TP modeled by the complete mixing model (R2 = 0.76) and the empirical model (R2 = 0.52), as well as by BOD measurements (R2 = 0.85). This indicates that water pollution attenuates evaporation rates. Scenarios of lake pollution and level reduction due to evaporation were also analyzed. The results from this study are important to improve the management of lakes and reservoirs by including the impact of pollution on the water balance.

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“…Specifically, aquatic vegetation can provide habitats and foods for aquatic fauna and can help to remediate pollutants in lakes by physical interception, precipitation, absorption, transformation and allelopathic purification (Abdeen, 2008; Xu et al, 2019). However, most aquatic vegetation ecosystems have suffered degradation during the past few decades under the dual stresses of water conservancy projects, such as reservoir and dam, and climate change (Firoozi et al, 2020; Park et al, 2018). The morphology and natural hydrological process of river or lake ecosystem have changed significantly (Kong et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

The study on the comparative responses of aquatic vegetation to the interannual water level variation in different hydrologically connected sub‐lakes based on GEE technology

et al. 2022

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Water level variation is considered as a main controlling environment factor affecting the growth of aquatic vegetation in Poyang Lake, the largest freshwater lake in China. It is significant to study the influences of water level change on aquatic vegetation under various hydrological conditions. Taking the free connected sub-lake Bang Lake and partially controlled sub-lake Dahuchi Lake of Poyang Lake as research objects and based on the cloud computing platform of remote sensing of Google Earth Engine (GEE), the pixel binary model method was used to estimate the aquatic vegetation cover from 2000 to 2019, and the spatial and temporal variation characteristics were discovered first. Meanwhile, the combined method of Sen + M-K (Theil-Sen Median method and Mann-Kendall trend test) was conducted to simulate the trends of water fluctuation. Second, the hydrological parameters indicating water level fluctuation were established, and the relationship between these parameters and the area covered by aquatic vegetation in different sub-lakes was explored. The results were as follows. (1) The aquatic vegetation cover of the freely connected sublake Bang Lake was more susceptible to water level changes, while the partially controlled sub-lake Dahuchi Lake was relatively stable underwater level change. (2) The aquatic vegetation was patchily and sporadically distributed in years with low vegetation cover, while in the years with high vegetation cover, it was distributed in a ringlike pattern, spreading from the centre of the lake to the shore. (3) The aquatic vegetation cover of the freely connected sub-lake Bang Lake was more likely to be influenced by the water level fluctuation (WLF), while the aquatic vegetation cover of the partially controlled sub-lake Dahuchi Lake was more likely to be influenced by the flooding duration of 17 m water level (L17). The flooding duration of 19 m water level (L19) had a strong negative correlation with the predicted aquatic vegetation cover of both Bang Lake and Dahuchi Lake. It suggests that there was a certain degree of time lag in the effect of water level changes on the free connected sublakes, but there was no obvious time lag on the partially controlled sub-lakes. (4) The aquatic vegetation of the freely connected sub-lake Bang Lake were dominated by stabilization and slight improvement, while aquatic vegetation in the partially controlled sub-lake Dahuchi Lake were dominated by stabilization and significant

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Developing a framework for assessment of climate change impact on thermal stratification of dam reservoirs

Cited by 17 publications

References 39 publications

Long-term relationship between air and water temperatures in Lake Paldang, South Korea

Long-term relationship between air and water temperatures in Lake Paldang, South Korea

Coupling Hydrological and Hydrodynamic Models for Assessing the Impact of Water Pollution on Lake Evaporation

The study on the comparative responses of aquatic vegetation to the interannual water level variation in different hydrologically connected sub‐lakes based on GEE technology

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