Assessment of nitrogen and phosphorus loads and causal factors from different land use and soil types in the Three Gorges Reservoir Area

Shen, Zhenyao; Lei, Chen; Qian, Hong; Qiu, Jiali; Xie, Hui; Liu, Ruimin

doi:10.1016/j.scitotenv.2013.03.036

Cited by 91 publications

(49 citation statements)

References 36 publications

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“…Rainfall is known as the driving force of NPS pollution, while terrain is the main effect factor in the generation and transport of NPS pollutants [10,11]. Where NPS pollutants are concerned, total nitrogen (TN) is critical, being dissolved in runoff and adsorbed in sediment with soil and water loss [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Influence Mechanisms of Rainfall and Terrain Characteristics on Total Nitrogen Losses from Regosol

Ding

Xue

et al. 2017

Water

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Abstract:The upper reach of the Yangtze River is an ecologically sensitive region where water loss, soil erosion, and nonpoint source (NPS) pollution are serious issues. In this drainage area, regosol is the most widely distributed soil type. Cultivation on regosol is extensive and total nitrogen (TN) has become a common NPS pollutant. Artificial rainfall experiments were conducted to reveal the influence mechanisms of rainfall and terrain on TN losses from regosol. The results showed that there were positive correlations between precipitations and TN loads but negative ones between precipitations and TN concentrations. Furthermore, negative correlations were more obvious on fields with slopes of 5 • and 25 • than on other slopes. With increasing rainfall intensity, TN loads rose simultaneously. However, TN concentration in runoff-yielding time presented a decline over time. As far as terrain was concerned, TN loads grew generally but not limitlessly when slopes increased. Similarly, TN concentrations also rose with rising slopes; upward trends were more obvious for steeper slopes. Furthermore, the initial runoff-yielding time became longer for steeper slopes and the differences under various rainfall intensity conditions diminished gradually.

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Section: Introductionmentioning

confidence: 99%

Influence Mechanisms of Rainfall and Terrain Characteristics on Total Nitrogen Losses from Regosol

Ding

Xue

et al. 2017

Water

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“…Human activity factors mainly include construction, land development and land use. Land use change is one of the largest single threats causing increased sediment yield and soil erosion (Marques et al, 2007;Bakker et al, 2008;García-Ruiz, 2010;Feng et al, 2010;Shen et al, 2013;Djekovic et al, 2013). During the past several decades, research related to this issue has received increasing attention by researchers globally (Hao et al, 2004;Ward et al, 2009;Nunes et al, 2011;Blavet et al, 2009;Cai et al, 2012;Ouyang et al, 2012;Wu et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Estimation of Sediment Yield Using the Intero Model in the S1-5 Watershed of the Shirindareh River Basin, Iran

Barovic¹,

Silva²,

Batista³

et al. 2015

AgricultForest

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“…Therefore, land use parameters are important during NPS modeling. Studies have shown that the uncertainty of NPS outputs exhibits apparent variation among different land use types because of their different landforms, physiognomy, underlying surface conditions, and anthropogenic activities (Shen et al 2010(Shen et al , 2013bTu 2011). Thus, parameter uncertainty analysis can facilitate effective management.…”

Section: Model Parametersmentioning

confidence: 99%

Uncertainty analysis for nonpoint source pollution modeling: implications for watershed models

Shen

Xie

Chen

et al. 2014

Int. J. Environ. Sci. Technol.

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Uncertainty is inherent in watershed modeling but it is not fully acknowledged in model applications. This review focuses on uncertainty issues related to the Soil and Water Assessment Tool (SWAT) model, which is one of the most useful tools for simulating nonpoint source (NPS) pollution processes. We considered numerous studies that addressed three types of uncertainty in detail, i.e., the model inputs, parameters, and model structure. It has been shown that rainfall data, in terms of the spatial rainfall variability and the accuracy of the measured data, play a key role in the accuracy of the SWAT model. Geographic information system inputs, including the digital elevation model, land use map, and soil type map, have also been identified as key sources of input errors. With respect to the parameter uncertainty and model structural uncertainty, it is anticipated that the complex, nonlinear structure, and numerous parameters included in the SWAT model may lead to a failure to identify parameters, as well as equifinality phenomenon. We also compared some widely used uncertainty analysis methods, such as the generalized likelihood uncertainty estimation and first-order error analysis, to provide reliable guidance for the application of the SWAT model. This study benefits a wide range of researchers, who are concerned with uncertainty issues in NPS pollution modeling, and it provides insights into the application of watershed models in the development of watershed programs.

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Assessment of nitrogen and phosphorus loads and causal factors from different land use and soil types in the Three Gorges Reservoir Area

Cited by 91 publications

References 36 publications

Influence Mechanisms of Rainfall and Terrain Characteristics on Total Nitrogen Losses from Regosol

Influence Mechanisms of Rainfall and Terrain Characteristics on Total Nitrogen Losses from Regosol

Estimation of Sediment Yield Using the Intero Model in the S1-5 Watershed of the Shirindareh River Basin, Iran

Uncertainty analysis for nonpoint source pollution modeling: implications for watershed models

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