Assessing multivariate effect of best management practices on non-point source pollution management using the coupled Copula-SWAT model

Ding, W. M.; Xia, Jun; She, Dunxian; Zhang, Xiaoyue; Chen, Ting; Huang, Sheng; Zheng, H. Q.

doi:10.1016/j.ecolind.2023.110393

Cited by 7 publications

(1 citation statement)

References 66 publications

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“…The sensitivity analysis of the model parameters was conducted using the SUFI-2 (Sequential Uncertainty Fitting version 2) algorithm through SWAT-CUP. We selected 20 parameters for runoff and nutrient transport processes based on Ding et al [47] and Lee et al [35]. Table 2 presents the sensitivity ranking and parameter values.…”

Section: Swat Model Calibration and Validationmentioning

confidence: 99%

Optimizing Non-Point Source Pollution Management: Evaluating Cost-Effective Strategies in a Small Watershed within the Three Gorges Reservoir Area, China

Chang,

Wang,

Liu

et al. 2024

Land

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Non-point source (NPS) pollution poses a significant threat to the water environment, yet controlling it at the watershed scale remains a formidable challenge. Understanding the characteristics and drivers of nitrogen (N) and phosphorus (P) outputs at the watershed scale, along with identifying cost-effective best management practices (BMPs), is crucial for effective pollution control. In this study, we utilized the Wangjiaqiao watershed within the Three Gorges Reservoir Area (TGRA) as a case study to explore the characteristics of N and P load outputs and their dominant drivers by combining the SWAT model and a geographic detector. Based on our analysis of N and P loads within the watershed, we employed the entropy weight method to evaluate the reduction efficiency and cost-effectiveness of 64 BMP scenarios, encompassing seven measures (vegetative filter strips, parallel terraces, 10% fertilizer reduction, 30% fertilizer reduction, residue cover tillage, grass mulching, and returning farmland to forest) and their combinations. Our findings revealed the following: (1) spatial heterogeneity in NPS loads within the watershed, primarily influenced by land use, fertilizer application, and surface runoff, with interactive enhancement effects among driving factors; (2) the differential effectiveness of BMPs at the watershed level, with structural measures, particularly terracing, exhibiting higher efficacy and achieving reduction rates of 28.12% for total nitrogen (TN) and 37.69% for total phosphorus (TP); the combined BMPs showed improved reduction efficiency, but not merely additive; and (3) in terms of cost-effectiveness, 30% fertilizer reduction emerged as the most beneficial among the individual measures. Moreover, a combination of vegetative filter strips, parallel terraces, and 30% fertilizer reduction demonstrated significant improvements in TN and TP reductions (48.05% and 61.95%, respectively), suggesting their widespread applicability. Overall, our study provides insights into developing a cost-effective BMP strategy for the Wangjiaqiao watershed and offers valuable guidance for NPS pollution management in similar small watersheds within the TGRA.

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Section: Swat Model Calibration and Validationmentioning

confidence: 99%