Impact Study of Impoundment of the Three Gorges Reservoir on Salt-Water Dynamics and Soil Salinity in the Yangtze River Estuary

Xie, Wei; Yang, Jintao; Yao, Rongjiang; Wang, X. P.

doi:10.3808/jei.202000432

Cited by 14 publications

(12 citation statements)

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“…The southern part of the basin is near to tropical climates and the northern part is close to the temperate zone. The annual mean temperature in the southern and northern parts are 19 and 15°C, respectively (Xie et al, 2020). Owing to great topographic variability, annual precipitation varies greatly in different sections of the Yangtze River with a range of 300-2,000 mm and appears to increase from northwest to southeast.…”

Section: Overview Of the Study Areamentioning

confidence: 99%

“…The task is complicated by the many complexities in hydrological systems such as extensive nonlinearities, temporal-spatial variations, interactions, and uncertainties (Solomatine and Ostfeld, 2008;Cheng et al, 2016). During the past decades, great effort has been applied to this issue and a series of hydrological models have been developed to improve hydrologic prediction (Xie et al, 2020;Wang et al, 2021c). These hydrological models primarily include process-based and data-driven models (Li et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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A Statistical Hydrological Model for Yangtze River Watershed Based on Stepwise Cluster Analysis

Wang

Huang

et al. 2021

Front. Earth Sci.

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Streamflow prediction is one of the most important topics in operational hydrology. The responses of runoffs are different among watersheds due to the diversity of climatic conditions as well as watershed characteristics. In this study, a stepwise cluster analysis hydrological (SCAH) model is developed to reveal the nonlinear and dynamic rainfall-runoff relationship. The proposed approach is applied to predict the runoffs with regional climatic conditions in Yichang station, Hankou station, and Datong station over the Yangtze River Watershed, China. The main conclusions are: 1) the performances of SCAH in both deterministic and probabilistic modeling are notable.; 2) the SCAH is insensitive to the parameter p in SCAH with robust cluster-tree structure; 3) in terms of the case study in the Yangtze River watershed, it can be inferred that the water resource in the lower reaches of the Yangtze River is seriously affected by incoming water from the upper reaches according to the strong correlations. This study has indicated that the developed statistical hydrological model SCAH approach can characterize such hydrological processes complicated with nonlinear and dynamic relationships, and provide satisfactory predictions. Flexible data requirements, quick calibration, and reliable performances make SCAH an appealing tool in revealing rainfall-runoff relationships.

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Section: Overview Of the Study Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Statistical Hydrological Model for Yangtze River Watershed Based on Stepwise Cluster Analysis

Wang

Huang

et al. 2021

Front. Earth Sci.

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“…EC and NH4 + -N showed a strong positive correlation (correlation coefficient > 0.7) with the PC1, while pH and DO have a negative correlation with the PC1. EC is a comprehensive indicator of the degree of ion activity in water and the evaluation of ion quality (Zhang et al, 2012), which mainly reflects the impact of human activities and geological sediments in the water environment (Bellos and Sawidis, 2005;Yang et al, 2007;Xie et al, 2020). Generally, the value of pH in river water is weakly alkaline, which is mainly affected by external pollution sources and aquatic biological activities, and the pH can control the redox reaction of river water to a certain extent (Li et al, 2017).…”

Section: Temporal Variation Characteristics Of River Water Quality In Yihe River Basinmentioning

confidence: 99%

Spatio-Temporal Variation Characteristics of Water Quality and Its Response to Climate: A Case Study in Yihe River Basin

Ren¹,

Liu²,

Ding³

et al. 2021

J ENVIRON INFORM LET

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Spatial-temporal patterns of river water quality, the identification of pollution sources and contaminated areas are crucial to water environment protection and sustainable development of the river basin. In this study, spatial-temporal characteristics of river water quality in the Yihe river basin were investigated through multivariate analysis methods, including principal component analysis (PCA), cluster analysis (CA), discriminant analysis (DA), and one-way ANOVA. The water quality indicators (Hydrogen ion concentration (pH), electric conductivity (EC), dissolved oxygen (DO), turbidity, chemical oxygen demand (COD), total phosphorus (TP), and ammonia nitrogen (NH4 + -N)) were investigated at 17 sampling sites in three periods (i.e., high-, mean-, low flow period) during 2016 ~ 2017. The results show that: (1) PCA served to extract and recognize the most significant indicators affecting water quality in the Yihe river basin, i.e., pH, EC, COD, and NH4 + -N. (2) CA divided the Yihe river basin into three groups with similar water quality features, namely the upper, middle, and lower reaches. (3) DA demonstrated strong dimensionality reduction ability with the accuracy of clustering was 94.1%, and only a few indicators (i.e., DO, EC, turbidity, NH4 + -N, and TP) could reflect the spatial variations in water quality. (4) One-way ANOVA indicated that the water quality was the worst in the lower reach of Yihe river basin during the mean-flow period, followed by which in the upper and middle reaches during the high-flow period. (5) The spatiotemporal characteristics of water quality were mainly restrained by human factors (e.g., the construction of highway and agricultural activities), climate change (e.g., precipitation and temperature), and natural environments (e.g., topography).

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“…In cases where meteorological drought occurs (i.e., long-term rainfall deficit), the interactions among the water cycle components could affect how the meteorological drought is propagated to hydrological drought (i.e., long-term runoff deficit) and agriculture drought (i.e., long-term soil moisture deficit), which can have significant influences on regional water availability and agriculture [5]. In addition, variations in the water cycle can have profound long-term environmental [6][7][8] and ecological [9,10] implications. In China, disasters caused by variations in water cycle components have been recorded.…”

Section: Introductionmentioning

confidence: 99%

Long-Term Projection of Water Cycle Changes over China Using RegCM

et al. 2021

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The global water cycle is becoming more intense in a warming climate, leading to extreme rainstorms and floods. In addition, the delicate balance of precipitation, evapotranspiration, and runoff affects the variations in soil moisture, which is of vital importance to agriculture. A systematic examination of climate change impacts on these variables may help provide scientific foundations for the design of relevant adaptation and mitigation measures. In this study, long-term variations in the water cycle over China are explored using the Regional Climate Model system (RegCM) developed by the International Centre for Theoretical Physics. Model performance is validated through comparing the simulation results with remote sensing data and gridded observations. The results show that RegCM can reasonably capture the spatial and seasonal variations in three dominant variables for the water cycle (i.e., precipitation, evapotranspiration, and runoff). Long-term projections of these three variables are developed by driving RegCM with boundary conditions of the Geophysical Fluid Dynamics Laboratory Earth System Model under the Representative Concentration Pathways (RCPs). The results show that increased annual average precipitation and evapotranspiration can be found in most parts of the domain, while a smaller part of the domain is projected with increased runoff. Statistically significant increasing trends (at a significant level of 0.05) can be detected for annual precipitation and evapotranspiration, which are 0.02 and 0.01 mm/day per decade, respectively, under RCP4.5 and are both 0.03 mm/day per decade under RCP8.5. There is no significant trend in future annual runoff anomalies. The variations in the three variables mainly occur in the wet season, in which precipitation and evapotranspiration increase and runoff decreases. The projected changes in precipitation minus evapotranspiration are larger than those in runoff, implying a possible decrease in soil moisture.

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Impact Study of Impoundment of the Three Gorges Reservoir on Salt-Water Dynamics and Soil Salinity in the Yangtze River Estuary

Cited by 14 publications

References 0 publications

A Statistical Hydrological Model for Yangtze River Watershed Based on Stepwise Cluster Analysis

A Statistical Hydrological Model for Yangtze River Watershed Based on Stepwise Cluster Analysis

Spatio-Temporal Variation Characteristics of Water Quality and Its Response to Climate: A Case Study in Yihe River Basin

Long-Term Projection of Water Cycle Changes over China Using RegCM

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