Using SWAT to simulate runoff under different land use scenarios in Xiangjiang River Basin

According to the daily flow data collected by three representative hydrological stations in the Xiangjiang River basin which are the Guiyang station in the upstream section, the Hengshan station in the midstream section, and the Xiangtan station in the downstream section, and the water environment data collected from the Hunan Water Resources Bulletin, Mann-Kendal method was used to analyze the changes of the annual average flow of the Xiangjiang River basin in the past 20 years as well as the variation of water environment quality in the whole year, flood season and non-flood season. Based on these analysis, the evolution trend of water resources and water environment in the Xiangjiang River basin is further forecasted. The results show that the annual runoff of the upper reaches of the Xiangjiang River basin tends to be stable, and the runoff of the middle and lower reaches is decreasing. The water quality of the Xiangjiang River basin got deteriorated from 1996 to 2010. A sudden change occurred around 2012, and the water quality of the basin gradually improved.

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Agricultural drought prediction using climate indices based on Support Vector Regression in Xiangjiang River basin

The Science of The Total Environment ◽

10.1016/j.scitotenv.2017.12.025 ◽

2018 ◽

Vol 622-623 ◽

pp. 710-720 ◽

Cited By ~ 21

Author(s):

Ye Tian ◽

Yue-Ping Xu ◽

Guoqing Wang

Keyword(s):

Support Vector Regression ◽

River Basin ◽

Agricultural Drought ◽

Support Vector ◽

Climate Indices ◽

Xiangjiang River ◽

Drought Prediction ◽

Xiangjiang River Basin

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Research on water environmental capacity accounting of the Yongzhou Section of Xiangjiang River Basin based on the SWAT-EFDC coupling model

Journal of Water and Climate Change ◽

10.2166/wcc.2021.319 ◽

2021 ◽

Author(s):

Li Wu ◽

Zhe Chen ◽

Xuan Ding ◽

Hui-ying Liu ◽

Dun-qiu Wang

Keyword(s):

Water Quality ◽

River Basin ◽

Total Nitrogen ◽

Total Phosphorus ◽

Coupling Model ◽

Theoretical Formula ◽

Environmental Capacity ◽

Xiangjiang River ◽

Water Environmental Capacity ◽

Xiangjiang River Basin

Abstract In this paper, a coupling model of SWAT (Soil and Water Assessment Tool) and EFDC (Environmental Fluid Dynamics Code) was established, and the relationship between the pollution source and water quality response was identified. Based on the hydrodynamic water quality simulation results and the one-dimensional WEC (water environmental capacity) theoretical formula, the total nitrogen and total phosphorus WEC and the remaining WEC of the Yongzhou Section of Xiangjiang River Basin under the guaranteed rate of 90% and in 2017 were calculated, respectively. It can be seen from the results that the total nitrogen WEC of the Yongzhou Section of Xiangjiang River Basin in 2017 is 27,673.04 t, the total nitrogen WEC under the guaranteed rate of 90% is 19,497.61 t/a and the total phosphorus WEC of the Yongzhou Section of Xiangjiang River Basin in 2017 is 4,877.22 t. The total phosphorus WEC under the guaranteed rate of 90% is 2,936.64 t/a; in 2017, the remaining WECs of total nitrogen and total phosphorus in the entire basin are 14,646.69 and 3,358.67 t, respectively.

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Nonstationary Bayesian Modeling of Extreme Flood Risk and Return Period Affected by Climate Variables for Xiangjiang River Basin, in South-Central China

Water ◽

10.3390/w14010066 ◽

2021 ◽

Vol 14 (1) ◽

pp. 66

Author(s):

Hang Zeng ◽

Jiaqi Huang ◽

Zhengzui Li ◽

Weihou Yu ◽

Hui Zhou

Keyword(s):

River Basin ◽

Flood Risk ◽

Central China ◽

Northwest Pacific ◽

Design Flood ◽

Xiangjiang River ◽

Northwest Pacific Ocean ◽

South Central ◽

Extreme Flood ◽

Xiangjiang River Basin

The accurate design flood of hydraulic engineering is an important precondition to ensure the safety of residents, and the high precision estimation of flood frequency is a vital perquisite. The Xiangjiang River basin, which is the largest river in Hunan Province of China, is highly inclined to floods. This paper aims to investigate the annual maximum flood peak (AMFP) risk of Xiangjiang River basin under the climate context employing the Bayesian nonstationary time-varying moment models. Two climate covariates, i.e., the average June-July-August Artic Oscillation and sea level pressure in the Northwest Pacific Ocean, are selected and found to exhibit significant positive correlation with AMFP through a rigorous statistical analysis. The proposed models are tested with three cases, namely, stationary, linear-temporal and climate-based conditions. The results both indicate that the climate-informed model demonstrates the best performance as well as sufficiently explain the variability of extreme flood risk. The nonstationary return periods estimated by the expected number of exceedances method are larger than traditional ones built on the stationary assumption. In addition, the design flood could vary with the climate drivers which has great implication when applied in the context of climate change. This study suggests that nonstationary Bayesian modelling with climatic covariates could provide useful information for flood risk management.

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Evaluating Economic Growth, Industrial Structure, and Water Quality of the Xiangjiang River Basin in China Based on a Spatial Econometric Approach

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph15102095 ◽

2018 ◽

Vol 15 (10) ◽

pp. 2095 ◽

Cited By ~ 4

Author(s):

Xiaohong Chen ◽

Guodong Yi ◽

Jia Liu ◽

Xiang Liu ◽

Yang Chen

Keyword(s):

Economic Growth ◽

River Basin ◽

Environmental Kuznets Curve ◽

Industrial Structure ◽

Kuznets Curve ◽

Xiangjiang River ◽

Spatial Panel ◽

Panel Model ◽

Xiangjiang River Basin

This research utilizes the environmental Kuznets curve to demonstrate the interrelationship between economic growth, industrial structure, and water quality of the Xiangjiang river basin in China by employing spatial panel data models. First, it obtains two variables (namely, CODMn, which represents the chemical oxygen demand of using KMnO4 as chemical oxidant, and NH3-N, which represents the ammonia nitrogen content index of wastewater) by pretreating the data of 42 environmental monitoring stations in the Xiangjiang river basin from 2005 to 2015. Afterward, Moran’s I index is adopted to analyze the spatial autocorrelation of CODMn and NH3-N concentration. Then, a comparative analysis of the nonspatial panel model and spatial panel model is conducted. Finally, this research estimates the intermediate effect of the industrial structure of the Xiangjiang river basin in China. The results show that spatial autocorrelation exists in pollutant concentration and the relationship between economic growth and pollutant concentration shapes as an inverted-N trajectory. Moreover, the turn points of the environmental Kuznets curve for CODMn are RMB 83,001 and RMB 108,583 per capita GDP. In contrast, the turn points for NH3-N are RMB 50,980 and RMB 188,931 per capita GDP. Additionally, the environmental Kuznets curve for CODMn can be explained by industrial structure adjustment, while that for NH3-N cannot. As a consequence, the research suggests that the effect of various pollutants should be taken into account while making industrial policies.

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