Long-term (2002–2017) impacts of Danjiangkou dam on thermal regimes of downstream Han River (China) using Landsat thermal infrared imagery

Zhao, Jiannan; Li, Hui; Cai, Xiaobin; Chen, Fang; Wang, Lunche; Yu, Deqing; Chang-an, LI

doi:10.1016/j.jhydrol.2020.125135

Cited by 21 publications

(9 citation statements)

References 44 publications

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“…It was found that the use of thermal Band 10 of this satellite provides more reliable results compared to Band 11. A similar result, which demonstrates a good correlation between the measured data and those determined by the Landsat satellite, was obtained for the river affected by the reservoir (Zhao et al, 2020).…”

Section: Introductionsupporting

confidence: 83%

Thermal regime of the Dnipro Reservoirs

Vyshnevskyi

Shevchuk²

2021

Journal of Hydrology and Hydromechanics

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Based on the results of regular monitoring and remote sensing data the patterns of water temperature of the reservoirs cascade on the Dnipro River were identified. A characteristic feature of the thermal regime of the Dnipro Cascade has been the water temperature increase over the past decades. In the period 1977–2020 the water temperature in summer increased by 0.74 °C decade−1, and during May–October by 0.65 °C decade−1. An important factor influencing the thermal regime of the reservoirs is the influence of those ones, located upstream. Water from them is discharged from the lower layer, where the processes of heating and cooling are very slow. This has a significant influence on the water temperature of downstream reservoirs, especially on their upper part. The water temperature in this part during spring and summer seasons is lower compared to natural conditions. In autumn it is higher. The temperature of water also depends on the latitude: it rises in the reservoirs located both downstream and to the south. Another important factor influencing the water temperature is the wind, which can change the temperature in the surface layer by 5–6 °С. Water temperature also depends on the intensity of algae bloom – it is higher in the spots of a large bloom.

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Section: Introductionsupporting

confidence: 83%

Thermal regime of the Dnipro Reservoirs

Vyshnevskyi

Shevchuk²

2021

Journal of Hydrology and Hydromechanics

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“…To explore the influence of reduced flow velocity in the middle and lower reaches of the Yangtze River on fish migration, we set a flow velocities range from 0.15 to 0.45 m/s. Affected by the Three Gorges reservoir, the Danjiangkou reservoir and other large reservoirs in the Yangtze River Basin, the water temperature of the rivers in the middle and lower reaches of the Yangtze River will be cooler with a drop of 2–6°C from April to July (main migration and spawn period), and this impact can extend for tens to hundreds of kilometres (Tao et al, 2020; Xiong et al, 2020; Zhao et al, 2020). From April to July, the time when the water temperature reaches 18°C is delayed, and the time period below 24°C is also lengthened (Tao et al, 2020; Xiong et al, 2020; Zhao et al, 2020).…”

Section: Methodsmentioning

confidence: 99%

“…Affected by the Three Gorges reservoir, the Danjiangkou reservoir and other large reservoirs in the Yangtze River Basin, the water temperature of the rivers in the middle and lower reaches of the Yangtze River will be cooler with a drop of 2-6 C from April to July (main migration and spawn period), and this impact can extend for tens to hundreds of kilometres (Tao et al, 2020;Xiong et al, 2020;Zhao et al, 2020). From April to July, the time when the water temperature reaches 18 C is delayed, and the time period below 24 C is also lengthened (Tao et al, 2020;Xiong et al, 2020;Zhao et al, 2020). To explore the influence of lower water temperature in the middle and lower reaches of the Yangtze River on fish migration, we set a water tempera-…”

Section: Flow Velocity and Water Temperature Settingmentioning

confidence: 99%

Coupled influence of flow velocity and water temperature on grass carp swimming behaviour and gonad development

Liu

Yin

Qiu

et al. 2021

Hydrological Processes

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Reproductive migration is an essential phase in the life of many fish. During this process, swimming behaviour and gonad development are key factors related to the migration quality, and both factors are strongly influenced by water temperature and flow velocity. Many studies have explored the separate effects of these variables on fish swimming ability or gonad development, but researchers have seldom investigated the simultaneous effects of low flow velocity and water temperature on the fish swimming behaviour and gonad development. To provide that knowledge, we conducted laboratory experiments that explored the coupled effects of low water temperature and flow on warm water fish swimming behaviour and gonad development. At five temperatures (16, 18, 20, 22, and 24 C), we observed the movement of migratory warmwater grass carp (Ctenopharyngodon idellus) at seven flow velocities (0.15, 0.2, 0.25, 0.3, 0.35, 0.40, and 0.45 m/s), then explored their gonad development by comparing the level of plasma 17β-estradiol and testosterone in fish travelling through a simulated fish way (flow stimulation) and in a fish tank (no flow stimulation). We used Bayesian networks to explore the acceptable hydrological condition for fish migration.We found that the minimum flow velocity for acceptable migration quality is a function of the water temperature, and that increasing water temperature improves fish movement success and increases the movement distance, especially at a low flow velocity. In addition, increasing water temperature (between 16 and 24 C in this experiment design) can enhance the effect of flow stimulation on gonad development. Overall, our results can broaden the understanding of reducing water temperature and flow velocity in fish swimming behaviour and gonad development, provide basic data to support hydrological process controls and the development of measures to protect fish migration.

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“…As the effective precipitation is the key factor for the crop water requirement estimation, it is important to analyse the effects of climate change on precipitation. There is need to get thorough knowledge about the climate change effect on reference evapotranspiration, actual evapotranspiration and effective precipitation to monitor and control the future agricultural policy, research and development [2].…”

Section: Introductionmentioning

confidence: 99%

Estimation of crop water requirements within Wainganga sub-basin for Kharif and Rabi season using spatial analysis

Londhe

Kapgate

Katpatal

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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In India, largest user of the water is agriculture sector is the, so it is important to do the proper management of available water. Aim of this study to estimate crop water requirements (CWR) for Kharif and Rabi seasons within Wainganga sub-basin by using remote sensing and GIS technique. For this, reference evapotranspiration (ET0) is estimated by using the Food and Agricultural Organization (FAO) Penman-Monteith method. Weather data from 8 weather stations has been collected to estimate ET0. The crop coefficient (KC) is estimated by using linear relationship with Normalized Difference Vegetation Index (NDVI). The MODIS NDVI dataset is used for calculation of crop coefficient. The effective precipitation (Pe) has been calculated to estimate CWR by using FAO recommended empirical method. The spatial variation maps for ET0, KC, actual evapotranspiration (ETa) and CWR are generated using Inverse Distance Weightage (IDW) interpolation technique in ArcGIS software. The results show that ET0 and ETa are higher in Kharif season than the Rabi season. The KC is also found higher in kharif than in rabi. Since the Pe is negligible in Rabi season, CWR in Rabi season is found to be higher than kharif season. The CWR in Rabi varies between 320 mm to 378 mm and in kharif season it varies between 94 mm to 263 mm. It is concluded that the seasonal estimation of CWR helps in understanding the peak water demand in that season in better way. It is required to provide sufficient irrigation to the crops in Rabi season especially as the agricultural production completely depends on the irrigation facilities in the study area because there is no rainfall in this season.

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Long-term (2002–2017) impacts of Danjiangkou dam on thermal regimes of downstream Han River (China) using Landsat thermal infrared imagery

Cited by 21 publications

References 44 publications

Thermal regime of the Dnipro Reservoirs

Thermal regime of the Dnipro Reservoirs

Coupled influence of flow velocity and water temperature on grass carp swimming behaviour and gonad development

Estimation of crop water requirements within Wainganga sub-basin for Kharif and Rabi season using spatial analysis

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