Uncertainty Evaluation of Best Management Practice Effectiveness Based on the AnnAGNPS Model

Chen, Ying; Lu, Binfeng; Xu, Chong‐Yu; Chen, Xingwei; Liu, Meibing; Gao, Lu; Deng, Haijun

doi:10.1007/s11269-022-03082-8

Cited by 10 publications

(2 citation statements)

References 43 publications

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“…This result is consistent with the range (515±176 t yr −1 ) obtained by García-Pintado et al (2007). AnnAGNPS was employed to assess the effectiveness of four best management practices (BMPs) in the Shanmei Reservoir watershed (Chen et al, 2022). Risal et al (2022) evaluated the performances of SWAT and HSPF in simulating TN and TP load in Big Sunflower River Watershed.…”

Section: Introductionsupporting

confidence: 82%

Application of modified export coefficient model to estimate nitrogen and phosphorus pollutants from agricultural non-point source

Zhao,

Zhang,

Liu

et al. 2023

J. Geogr. Sci.

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There is a great uncertainty in generation and formation of non-point source (NPS) pollutants, which leads to difficulties in the investigation of monitoring and control. However, accurate calculation of these pollutant loads is closely correlated to control NPS pollutants in agriculture. In addition, the relationships between pollutant load and human activity and physiographic factor remain elusive. In this study, a modified model with the whole process of agricultural NPS pollutant migration was established by introducing factors including rainfall driving, terrain impact, runoff index, leaching index and landscape intercept index for the load calculation. Partial least squares path modeling was applied to explore the interactions between these factors. The simulation results indicated that the average total nitrogen (TN) load intensity was 0.57 t km -2 and the average total phosphorus (TP) load intensity was 0.01 t km -2 in Chengdu Plain. The critical effects identified in this study could provide useful guidance to NPS pollution control. These findings further our understanding of the NPS pollution control in agriculture and the formulation of sustainable preventive measures.

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Section: Introductionsupporting

confidence: 82%

Application of modified export coefficient model to estimate nitrogen and phosphorus pollutants from agricultural non-point source

Zhao,

Zhang,

Liu

et al. 2023

J. Geogr. Sci.

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“…However, considerable field monitoring data are required for its application on a regional scale [22]. Quantitative models of NPSP include spatially referenced regressions on watershed attributes (SPARROW) model [23][24][25][26], annualized agricultural NPSP (AnnAGNPSP) model [27][28][29][30], soil and water assessment tool (SWAT) model [31][32][33][34] and hydrological simulation program Fortran model [35][36][37]. These models need numerous parameters for analysis.…”

Section: Introductionmentioning

confidence: 99%

Potential Risk Identification of Agricultural Nonpoint Source Pollution: A Case Study of Yichang City, Hubei Province

Yang,

Wang,

et al. 2023

Sustainability

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Potential risk identification of agricultural nonpoint source pollution (ANPSP) is essential for pollution control and sustainable agriculture. Herein, we propose a novel method for potential risk identification of ANPSP via a comprehensive analysis of risk sources and sink factors. A potential risk assessment index system (PRAIS) was established. The proposed method was used to systematically evaluate the potential risk level of ANPSP of Yichang City, Hubei Province. The potential risk of ANPSP in Yichang City was 18.86%. High-risk areas account for 4.95% and have characteristics such as high nitrogen and phosphorus application rates, large soil erosion factors, and low vegetation coverage. Compared with the identification results of the Diffuse Pollution estimation with the Remote Sensing (DPeRS) model, the area difference of the same risk level calculated by the PRAIS was reduced by 33.9% on average. This indicates that PRAIS has the same level of accuracy as the DPeRS model in identifying potential risks of ANPSP. Thus, a rapid and efficient identification system of potential risks of regional ANPSP was achieved.

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An Integrated Modeling Approach to Assess Best Management Practices (BMPs) for Improving Stream Water Quality Using the MapShed and WASP8 Models

Muhammetoglu,

Orhan,

Akdegirmen

et al. 2023

Water Resour Manage

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Uncertainty Evaluation of Best Management Practice Effectiveness Based on the AnnAGNPS Model

Cited by 10 publications

References 43 publications

Application of modified export coefficient model to estimate nitrogen and phosphorus pollutants from agricultural non-point source

Application of modified export coefficient model to estimate nitrogen and phosphorus pollutants from agricultural non-point source

Potential Risk Identification of Agricultural Nonpoint Source Pollution: A Case Study of Yichang City, Hubei Province

An Integrated Modeling Approach to Assess Best Management Practices (BMPs) for Improving Stream Water Quality Using the MapShed and WASP8 Models

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