Modelling hydrology and water quality processes in the Pengxi River basin of the Three Gorges Reservoir using the soil and water assessment tool

Shi, Yingyuan; Xu, Guangdong; Wang, Yonggui; Engel, Bernard A.; Peng, Hong; Zhang, Wanshun; Cheng, Man; Dai, Min

doi:10.1016/j.agwat.2016.12.007

Cited by 56 publications

(37 citation statements)

References 61 publications

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“…Several authors have previously addressed that SWAT's predictive capabilities were less well-suited for drier conditions and consistently better during wet periods [56][57][58]. Different responses of the runoff to light and heavy rain could be attributed to the runoff response parameters in the SWAT [38]. One potential explanation for the difference performances is the model's adjustment for curve number, which based upon antecedent moisture conditions does not accurately reflect the seasonal variations [57].…”

Section: Analysis Of Runoff Process By Spatial Interpolation Of Precimentioning

confidence: 99%

“…Average annual precipitation and temperature over the basin are 800-1500 mm and 18.5 • C, respectively. The average annual runoff is about 3.41 billion m 3 [38]. Due to the serious extrusion of crustal movement and water erosion, the gully topography is very complex, with approximately 63% mountainous land and 31% hills.…”

Section: Study Areamentioning

confidence: 99%

“…Hydrologic processes simulated by SWAT include canopy storage, infiltration, redistribution, evapotranspiration, lateral subsurface flow, and surface flow [38]. In this study, the daily streamflow in the Pengxi River basin was simulated using SWAT.…”

Section: Hydrologic Modelmentioning

confidence: 99%

“…Water 2017, 9, 838 3 of 18 aspects in China, such as flood control, power generation, navigation, and water supply [38]. Due to the scarcity of accurate precipitation data, the development of water resource studies in this area is limited [33,39].…”

Section: Study Areamentioning

confidence: 99%

“…This is the case in the Three Gorges Basin, where the world's largest hydropower project is implemented-The Three Gorges Project. The project contributes significantly to socio-economic aspects in China, such as flood control, power generation, navigation, and water supply [38]. Due to the scarcity of accurate precipitation data, the development of water resource studies in this area is limited [33,39].…”

Section: Introductionmentioning

confidence: 99%

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Performance Assessment of Spatial Interpolation of Precipitation for Hydrological Process Simulation in the Three Gorges Basin

Cheng

Wang

Engel

et al. 2017

Water

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Accurate assessment of spatial and temporal precipitation is crucial for simulating hydrological processes in basins, but is challenging due to insufficient rain gauges. Our study aims to analyze different precipitation interpolation schemes and their performances in runoff simulation during light and heavy rain periods. In particular, combinations of different interpolation estimates are explored and their performances in runoff simulation are discussed. The study was carried out in the Pengxi River basin of the Three Gorges Basin. Precipitation data from 16 rain gauges were interpolated using the Thiessen Polygon (TP), Inverse Distance Weighted (IDW), and Co-Kriging (CK) methods. Results showed that streamflow predictions employing CK inputs demonstrated the best performance in the whole process, in terms of the Nash-Sutcliffe Coefficient (NSE), the coefficient of determination (R 2 ), and the Root Mean Square Error (RMSE) indices. The TP, IDW, and CK methods showed good performance in the heavy rain period but poor performance in the light rain period compared with the default method (least sophisticated nearest neighbor technique) in Soil and Water Assessment Tool (SWAT). Furthermore, the correlation between the dynamic weight of one method and its performance during runoff simulation followed a parabolic function. The combination of CK and TP achieved a better performance in decreasing the largest and lowest absolute errors compared to any single method, but the IDW method outperformed all methods in terms of the median absolute error. However, it is clear from our findings that interpolation methods should be chosen depending on the amount of precipitation, adaptability of the method, and accuracy of the estimate in different rain periods.

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Section: Analysis Of Runoff Process By Spatial Interpolation Of Precimentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

Section: Hydrologic Modelmentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Performance Assessment of Spatial Interpolation of Precipitation for Hydrological Process Simulation in the Three Gorges Basin

Cheng

Wang

Engel

et al. 2017

Water

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Relative contribution of environmental and nutritional variables to net primary production of Cynodon dactylon (Linn.) Pers in the riparian zone of a Three Gorges tributary

Lin

Zhou

Liú³

et al. 2020

Ecology and Evolution

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Our knowledge of fundamental drivers of terrestrial net primary production (NPP) is crucial for improving the predictability of ecosystem stability under global climate change. However, the patterns and determinants of NPP are not fully understood, especially in the riparian zone ecosystem disturbed by periodic drought–rewetting (DRW) cycles. The environmental (flooding time, pH, moisture, and clay content) and nutritional properties (soil organic carbon, total nitrogen, total phosphorus, ammonium (NH 4 + ‐N), nitrate (NO 3 ‐ ‐N), and C:N:P stoichiometry) were investigated in the riparian zone of Pengxi River‐a typical tributary of Three Gorges Reservoir (TGR). Structure equation modeling was performed to evaluate the relative importance of environmental and nutritional properties on NPP of Cynodon dactylon (Linn.) Pers (C. dactylon)‐ a dominating plant in the riparian zone of TGR. Our results indicated that NPP was much lower under much severe flooding stress. All of these variables could predict 46% of the NPP variance. Nutrient use efficiency (NUE) was one of the most critical predictor shaping the change of NPP. Specifically, flooding stress as a major driver had a direct positive effect on soil moisture and soil clay content. The soil clay content positively affects the soil C: N ratio, which further had an indirect negative impact on NPP by mediating NUE. Overall, our study provided a comprehensive analysis of the effects of the combined effect of environmental and nutrient factors on NPP and showed that continuous DRW cycles induced by hydrological regime stimulate the decrease of NPP of C. dactylon by changing NUE strategies. Further research is needed to explore the responses of NPP and NUE under different land use to DRW cycles and to investigate the DRW effects on the combined effect of environmental and nutrient factors by in situ experiments and long‐term studies.

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Evaluation using the SWAT model of the effects of land use land cover changes on hydrological processes in the Gala Lake Basin, Turkey

Keleş Özgenç

2024

Environmental Quality Mgmt

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Changes in hydrological processes in watersheds are triggered by various factors, including land use land cover changes (LULCC) emerging from human activities. Hence, it is crucial to elucidate the interaction among hydrological processes to improve sustainable water management plans. The current study explored the effects of LULCC on hydrological processes in the Gala Lake catchment over a 30‐year temporal period. In this context, to evaluate LULCC, land cover maps were obtained using the supervised classification method with Landsat images (5 TM, 7 ETM+, 8 OLI) of 1993, 2008, and 2023. Hydrological processes were assessed using the Soil and Water Assessment Tool (SWAT), a commonly applied eco‐hydrological model. The model was utilized to evaluate the potential effect of LULCC on processes like surface runoff, infiltration, evapotranspiration, and erosion. Between 1993 and 2023, significant LULCC have been observed in the study area. There has been a decrease of 4.3%, 1%, 1.6%, and 5.3% in agricultural lands, forested lands, inland marshes, and pasture lands, respectively, while artificial surfaces, rice fields, and water bodies have seen an increase of 7%, 3.4%, and 1.9%, respectively. The potential effects of these changes were observed as a decrease in the runoff, a decrease in permeability, and an increase in processes such as evapotranspiration and erosion throughout the basin and sub‐basin. In general, LULCC significantly affect the hydrological status of the catchment. Therefore, establishing different conservation and utilization strategies that consider land use dynamics to maintain the resilience of ecosystems in the basins is vital in the sustainable management of water resources.

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Modelling hydrology and water quality processes in the Pengxi River basin of the Three Gorges Reservoir using the soil and water assessment tool

Cited by 56 publications

References 61 publications

Performance Assessment of Spatial Interpolation of Precipitation for Hydrological Process Simulation in the Three Gorges Basin

Performance Assessment of Spatial Interpolation of Precipitation for Hydrological Process Simulation in the Three Gorges Basin

Relative contribution of environmental and nutritional variables to net primary production of Cynodon dactylon (Linn.) Pers in the riparian zone of a Three Gorges tributary

Evaluation using the SWAT model of the effects of land use land cover changes on hydrological processes in the Gala Lake Basin, Turkey

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