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A framework for priority non-point source area identification and load estimation integrated with APPI and PLOAD model in Fujiang Watershed, China

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  • Shen, Zhenyao
  • Hong, Qian
  • Chu, Zheng
  • Gong, Yongwei

Abstract

The non-point source (NPS) pollution is difficult to manage and control due to its complicated generation and formation. In large scale watersheds, the priority sources areas (PSAs) identification is an important and necessary process for efficient aquatic environmental management. Here, a framework for the PSAs identification and pollution load estimation in PSAs screened for Best Management Practices (BMPs) is proposed. Fujiang Watershed, a branch of Jialingjiang, the upper reach of Yangtze River, was chosen for evaluation of the method proposed here. The entire Fujiang Watershed was divided into 21 subbasins, after which the Agricultural Pollution Potential Index (APPI) was used to identify the PSAs, and a modified runoff coefficient was introduced to mitigate the impact of the rainfall heterogeneity in the process. Next, the identified PSAs were further divided into 34 subbasins, after which quantification of the pollution load was conducted using the Pollution Load (PLOAD) model. The results indicated that there are five subbasins have much higher NPS pollution load intensities, with an average value of 6.05Â t/km2/year for TN and 0.31Â t/km2/year for TP. According to the cluster analysis on land use structure, these five subbasins were featured by higher proportion of agricultural land, suggesting a need for better fertilizer application management. The method developed here provided a helpful framework for conducting NPS pollution management in a large watershed.

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  • Shen, Zhenyao & Hong, Qian & Chu, Zheng & Gong, Yongwei, 2011. "A framework for priority non-point source area identification and load estimation integrated with APPI and PLOAD model in Fujiang Watershed, China," Agricultural Water Management, Elsevier, vol. 98(6), pages 977-989, April.
    • Handle: RePEc:eee:agiwat:v:98:y:2011:i:6:p:977-989
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    2. Lu, Jun & Gong, Dongqin & Shen, Yena & Liu, Mei & Chen, Dingjiang, 2013. "An inversed Bayesian modeling approach for estimating nitrogen export coefficients and uncertainty assessment in an agricultural watershed in eastern China," Agricultural Water Management, Elsevier, vol. 116(C), pages 79-88.
    3. Wei Yan & Xuejun Duan & Jiayu Kang & Zhiyuan Ma, 2023. "Assessing the Impact of Rural Multifunctionality on Non-Point Source Pollution: A Case Study of Typical Hilly Watershed, China," Land, MDPI, vol. 12(10), pages 1-17, October.
    4. Jinfeng Yang & Xuelei Wang & Xinrong Li & Zhuang Tian & Guoyuan Zou & Lianfeng Du & Xuan Guo, 2023. "Potential Risk Identification of Agricultural Nonpoint Source Pollution: A Case Study of Yichang City, Hubei Province," Sustainability, MDPI, vol. 15(23), pages 1-14, November.
    5. Zelalem Abera Angello & Beshah M. Behailu & Jens Tränckner, 2020. "Integral Application of Chemical Mass Balance and Watershed Model to Estimate Point and Nonpoint Source Pollutant Loads in Data-Scarce Little Akaki River, Ethiopia," Sustainability, MDPI, vol. 12(17), pages 1-18, August.
    6. Kaixin Jiang & Shuhong Mo & Kunxia Yu & Pingzhi Li & Zhanbin Li, 2023. "Analysis of Spatial and Temporal Characteristics of Runoff Erosion Power in Fujiang River Basin Based on the SWAT Model," Sustainability, MDPI, vol. 15(21), pages 1-18, November.

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