吴汉卿, 万炜, 单艳军, 陈延华, 李强, 李存军, 胡海棠, 张宝贵. 基于磷指数模型的海河流域农田磷流失环境风险评价[J]. 农业工程学报, 2020, 36(14): 17-27. DOI: 10.11975/j.issn.1002-6819.2020.14.003
    引用本文: 吴汉卿, 万炜, 单艳军, 陈延华, 李强, 李存军, 胡海棠, 张宝贵. 基于磷指数模型的海河流域农田磷流失环境风险评价[J]. 农业工程学报, 2020, 36(14): 17-27. DOI: 10.11975/j.issn.1002-6819.2020.14.003
    Wu Hanqing, Wan Wei, Shan Yanjun, Chen Yanhua, Li Qiang, Li Cunjun, Hu Haitang, Zhang Baogui. Environmental risk assessment of phosphorus loss from farmland based on phosphorus index model in the Haihe River Basin[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2020, 36(14): 17-27. DOI: 10.11975/j.issn.1002-6819.2020.14.003
    Citation: Wu Hanqing, Wan Wei, Shan Yanjun, Chen Yanhua, Li Qiang, Li Cunjun, Hu Haitang, Zhang Baogui. Environmental risk assessment of phosphorus loss from farmland based on phosphorus index model in the Haihe River Basin[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2020, 36(14): 17-27. DOI: 10.11975/j.issn.1002-6819.2020.14.003

    基于磷指数模型的海河流域农田磷流失环境风险评价

    Environmental risk assessment of phosphorus loss from farmland based on phosphorus index model in the Haihe River Basin

    • 摘要: 农田面源磷流失是导致水体富营养化的主要原因,识别农田磷流失的关键源区、影响因子是农田面源污染防治的重要环节。该研究以海河流域为研究区,采用磷指数模型,选取土壤有效磷含量、磷肥施用量作为源因子,以土壤侵蚀模数、年径流深、农田和水体间归一化距离指数作为迁移因子,结合GIS技术评估海河流域农田磷流失风险,并利用结构方程模型研究农田磷流失风险指数与各影响因子间关系。结果表明:1)海河流域农田土壤有效磷、磷肥施用量、土壤侵蚀模数、年径流深及归一化距离指数处于中-低、中-高、极低、中-高和高级别风险等级的区域面积占比最高,分别占农田总面积的66.5%、61.1%、99.0%、54.2%和64.8%;2)影响农田磷流失的关键因子为迁移因子,其中关键的迁移因子为年径流深及归一化距离指数;3)源因子与迁移因子间呈极显著负相关(P<0.01),土壤性质(包括土壤质地及有机碳含量等)与源因子呈极显著负相关(P<0.01),与迁移因子呈极显著正相关(P<0.01);4)海河流域农田磷流失关键源区位于黄河北岸的山东省和河北省东南部的平原农耕区、海河流域西北部的山区地带。该研究结果对流域尺度上农田磷流失研究的方法创新有所裨益,可为海河流域农田面源污染防治提供科学参考。

       

      Abstract: Abstract: The non-point phosphorus (P) loss from farmland is the main cause of eutrophication, and identifying the Critical Source Areas (CSAs) and Critical Influence Factors (CIFs) of the P loss from farmland is a pivotal part of controlling agricultural non-point source pollution. The objective of this study was to assess the environmental risk of P loss from farmland based on P index model in the Haihe River Basin. In this study, we took the Haihe River Basin as the research region, and applied the P index model. Thereinto, the soil available P content and fertilizer-P application rate were selected as the source factors. Synchronously, the soil erosion modulus, annual runoff, the Normalized Differential Distance Index (NDDI) between farmland and river network were chosen as the transport factors. Additionally, this research aims at identifying the CSAs combined with GIS technology, distinguishing the CIFs and exploring the relation between P index and influence factors such as soil properties (mainly including soil texture and organic carbon), source and transport factors via Structural Equation Modeling (SEM). The spatial distributions of soil available P content, fertilizer-P application rate, soil erosion modulus, annual runoff and NDDI in the Haihe River Basin indicated that the most areas were at the risk levels of low-medium, medium-high, very low, medium-high and high in the Haihe River Basin, respectively. Namely, these areas accounted for 66.5%, 61.1%, 99.0%, 54.2%, and 64.8% of the total farmland area in the Haihe River Basin, respectively. Moreover, we revealed that the CIF affecting P loss from farmland in the Haihe River Basin is the transport factors in which the key transport factors are the annual runoff and NDDI. Furthermore, SEM prescribed that there was an extremely significant negative correlation between the source factors (P<0.01) and extremely significant positive correlation with transport factors (P<0.01), and soil properties had highly significant negative correlations with source factors and transport factors (P<0.01). Subsequently, the findings illustrated that the CSAs of P loss from farmland in the Haihe River Basin were mainly located in the plain farming areas of Shandong Province and the southeast of Hebei Province on the north bank of the Yellow River, and the mountain areas in the northwestern of the Haihe River Basin. Due to the plain farming areas have high cultivation intensity and fertilizer-P application rate, flat terrain, and close distance to river network, P of soil and fertilizer could easily migrate into the rivers following the surface runoff with the medium-high intensity. Thus, for the plain farming areas, some practices should be taken to decrease the risk level of P loss from farmland, such as appropriate reduction of the fertilizer-P application rate, comprehensive nutrient management, conservation tillage and deployment of buffer zone between farmland and river network and so on. Because mountain areas have severe soil erosion, therefore, the risk level of P loss from farmland is relatively high. For this, proper soil and water conservation measures should be taken to reduce the soil erosion and risk level of P loss from farmland, such as contour tillage and terrace cropping and so on. In conclusion, the results are beneficial to the method innovation of P loss from farmland at the watershed scale, and can provide a scientific reference for controlling agricultural non-point source pollution in the Haihe River Basin.

       

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