Temperature changes in Three Gorges Reservoir Area and linkage with Three Gorges Project

Song, Zhen; Liang, Shunlin; Feng, Lian; He, Tao; Song, Xiao-Peng; Zhang, Lei

doi:10.1002/2016jd025978

Cited by 49 publications

(23 citation statements)

References 77 publications

(109 reference statements)

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“…In general, the impact decreased with increasing distance away from the TGR (Degu et al, ). Previous studies found the construction of the TGD can decrease daily mean and maximum temperatures along the narrow waterway of the TGR (Li and Tang 2014; Miller et al, ; Zhang et al, ; Chen et al, ; Song et al, ). Chen et al () suggested that the changes in surface air temperature is −0.1 °C within the 20‐km buffer along the reservoir.…”

Section: Model Validationmentioning

confidence: 95%

“…Some studies suggested that the construction of the TGD can slightly alter the local (~10 km) meteorological conditions such as temperature and moisture along the narrow waterway of the TGR (Chen et al, 2009;Li et al, 2017;Miller et al, 2005;Song et al, 2017;Wu et al, 2012;Zhang et al, 2004;Zhang et al, 2005). It is argued that the increased area of water surface enhances local evaporation, thus reducing local temperature and increasing local atmospheric moisture (Gwynne & Li, 1992;Miller et al, 2005;Niyogi et al, 2010).…”

Section: Intrductionmentioning

confidence: 99%

“…Chen et al () suggested that the changes in surface air temperature is −0.1 °C within the 20‐km buffer along the reservoir. Song et al () suggested that the changes are −0.67 °C in summer within the 5‐km buffer along the reservoir. In this study, the maximum temperature was decreased by about −0.18 °C within 10 km away from the water surface; the changes on the minimum temperature at 1800 UTC and on daily mean temperature (the average of four daily time records) were negligible.…”

Section: Model Validationmentioning

confidence: 99%

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Impacts of Three Gorges Dam on Regional Circulation: A Numerical Simulation

Chen

et al. 2019

JGR Atmospheres

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The Three Gorges Dam (TGD) is the largest hydropower project in the world. The resulting Three Gorges Reservoir (TGR) extends 660 km along the waterway of the Yangtze River in surrounded by complicated terrain. The dam and its impounded reservoir has triggered large‐scale land use and land cover change, which can potentially impact the environment and climate significantly. In this study, the impact of the TGD on regional‐scale circulation is explored through high‐resolution simulation using the weather research and forecast model. It is found that the construction of the TGD has little influence on the near‐surface temperature in the TGR region even when extreme hot weather occurs in the region. The numerical experiments performed in this study indicate that the construction of the TGD can alter the atmospheric circulation on the regional scale when the weak southeasterly wind in the lower troposphere prevails in the region. Due to the blocking effects of the TGD and the expanding water surface area of the TGR, the low‐level southeasterly flow is turned into northeasterly and southeasterly flows before reaching the dam, leading to an anomalous cyclone over 112–115°E, 33–34°N, and an anomalous anticyclone over 110–112°E, 28–29°N. It is also found that the anomalous cyclone can evidently enhance precipitation locally under some special atmospheric conditions. This study suggests that the impact of the TGD can be amplified due to the complicated terrain in the surrounding areas of the TGD.

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Section: Model Validationmentioning

confidence: 95%

Section: Intrductionmentioning

confidence: 99%

Section: Model Validationmentioning

confidence: 99%

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Impacts of Three Gorges Dam on Regional Circulation: A Numerical Simulation

Chen

et al. 2019

JGR Atmospheres

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“…To investigate the vegetation dynamics associated with the TGR, it was important to separate the effect of the TGR from the large-scale climate impacts. We adopt the method as used in Song's research [14]. In our study, the regional background was defined as the 100 km spatial buffer from the TGRA.…”

Section: Vegetation Dynamics Considering Climate Impactsmentioning

confidence: 99%

“…In this study, we aim to investigate empirical evidence of contrasting water level-climate -vegetation feedback across the TGD area by using causal inference methods. The Three Gorges Reservoir (TGR) covers the reach of the Yangtze River between Chongqing and Yichang with a total water surface area of 1080 km 2 at the water level of 175 m [14]. After two tentative impounding operations to the elevations of 135 m and 156 m above the sea level at 10 June 2003, and 27 October 2006, respectively, the TGR started impounding water after the flood season with the water level of 175 m above mean sea level reached 26 October 2010.…”

Section: Introductionmentioning

confidence: 99%

Exploring Empirical Linkage of Water Level–Climate–Vegetation across the Three Georges Dam Areas

Huang

Zhou

Zhang

2020

Water

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The Three Georges Dam (TGD) has brought many benefits to the society by periodically changing the water level of its reservoir (TGR). Water discharging regularly takes places in the falling season when the downstream of the Yangtze River is drying. The TGD, the world’s largest hydroelectric project, can greatly mitigate the risk of flood caused by extreme precipitation with the prior discharging policy applied in the preflood season. At the end of flood season, water impounding in the storage season can help resist a drought the next year. However, owing to the difficulty in mining causality, the considerable debate about its environmental and climatic impacts have emerged in much of the empirical and modeling studies. We used causal generative neural networks (CGNN) to construct the linkage of water level–climate–vegetation across the TGD areas with a ten-year daily remotely sensed normalized difference vegetation index (NDVI), gauge-based precipitation, temperature observations, water level and streamflow. By quantifying the causality linkages with a non-linear Granger-causality framework, we find that the 30-days accumulated change of water level of the TGR significantly affects the vegetation growth with a median factor of 31.5% in the 100 km buffer region. The result showed that the vegetation dynamics linked to the water level regulation policy were at the regional scale rather than the local scale. Further, the water level regulation in the flood stage can greatly improve the vegetation growth in the buffer regions of the TGR area. Specifically, the explainable Granger causalities of the 25 km, 50 km, 75 km and 100 km buffer regions were 21.72%, 19.24%, 17.31% and 16.03%, respectively. In the falling and impounding stages, the functionality of the TGR that boosts the vegetation growth were not obvious (ranging from 6.1% to 8.3%). Overall, the results demonstrated that the regional vegetation dynamics were driven not only by the factor of climate variations but also by the TGR operation.

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Potential hydrological regime requirements for spawning success of the Chinese sturgeon Acipenser sinensis in its present spawning ground of the Yangtze River

2021

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Reservoir impoundment often alters the hydrological regimes of the river and consequently leads to the extinction of some sensitive species. This study analysed the spawning response of a critically endangered (CR) species, Chinese sturgeon Acipenser sinensis, under the changing hydrological regimes caused by the Three Gorges Reservoir (TGR). Based on our statistic analysis, we inferred that the long duration (>100 days) and large magnitude (>1.8 * 10 6 m 3 /s) of high flow pulse in the flood season and low accumulated water temperature in October (<660 C) and November (<540 C) were key hydrological regimes to induce the spawning success of Chinese sturgeon. Such hydrological regimes could not be satisfied after the third phase of the TGR impoundment in 2005, which decreased the suitability of the flow (HSI F ) and temperature (HSI T ) regimes for the spawning of Chinese sturgeon. However, a significant complementary relationship between high HSI F and low HSI T was found in all years of successful spawning after 2005, but it did not occur in the nonspawning years of 2013, 2015 and 2017, which could be the reason for spawning failure in these years. In the years 2018 and 2019, although the complementary relationship existed, the spawning failure in these 2 years was probably due to few parent fish. Therefore, we suggest that future conservation measures should focus on both optimizing operations of the TGR to ensure suitable hydrological conditions and restocking with adult fish to ensure successful spawning.

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Temperature changes in Three Gorges Reservoir Area and linkage with Three Gorges Project

Cited by 49 publications

References 77 publications

Impacts of Three Gorges Dam on Regional Circulation: A Numerical Simulation

Impacts of Three Gorges Dam on Regional Circulation: A Numerical Simulation

Exploring Empirical Linkage of Water Level–Climate–Vegetation across the Three Georges Dam Areas

Potential hydrological regime requirements for spawning success of the Chinese sturgeon Acipenser sinensis in its present spawning ground of the Yangtze River

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