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中国沙漠 ›› 2024, Vol. 44 ›› Issue (6): 146-154.DOI: 10.7522/j.issn.1000-694X.2024.00086

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黄河流域农业面源污染的演化特征与区域差异

李光勤1(), 牛雯琦1, 王江姣2()   

  1. 1.安徽财经大学 国际经济贸易学院,安徽 蚌埠 233030
    2.浙江农林大学暨阳学院,浙江 绍兴 311800
  • 收稿日期:2024-05-20 修回日期:2024-07-06 出版日期:2024-11-20 发布日期:2024-12-06
  • 通讯作者: 王江姣
  • 作者简介:王江姣(E-mail:zjycwjj@163.com
    李光勤(1979—),男,四川泸县人,博士,教授,主要从事区域经济与环境经济研究。E-mail:zjfcligq@126.com
  • 基金资助:
    安徽省哲学社会科学一般项目(AHSKY2022D050)

Characteristics evolution and regional differences of agricultural non-point source pollution in the Yellow River Basin

Guangqin Li1(), Wenqi Niu1, Jiangjiao Wang2()   

  1. 1.School of International Economics and Trade,Anhui University of Finance and Economics,Bengbu 233030,Anhui,China
    2.Jiyang College of Zhejiang AF University,Shaoxing 311800,Zhejiang,China
  • Received:2024-05-20 Revised:2024-07-06 Online:2024-11-20 Published:2024-12-06
  • Contact: Jiangjiao Wang

摘要:

在资源与环境双重约束下,考察黄河流域农业面源污染的测算指标、演化特征与区域差异,对推进黄河流域生态保护和农业高质量发展具有重要作用。以黄河流域不同地区农田化肥、畜禽养殖和农作物固体废弃物为污染单元,利用清单分析法测算黄河流域9省份2006—2022年的农业面源污染排放量和排放强度,并采用DAGUM基尼系数分解法分析黄河流域农业面源污染的区域差异。结果表明:(1)黄河流域农业面源污染排放量和排放强度总体呈恶化趋势,年均增长率分别为1.85%和1.06%,主要来源是化学需氧量(COD)污染物。(2)黄河流域各类污染源导致的农业面源污染具有显著差异,畜禽养殖对农业面源COD污染物和总磷(TP)污染物排放量贡献率最大,农作物固体废弃物对农业面源总氮(TN)污染物排放量贡献率最大。(3)2006—2022年黄河流域农业面源污染排放强度的区域内差异出现缩小趋势,区域间差异是区域差异的主要来源,区域间存在污染治理不平衡现象。

关键词: 黄河流域, 农业面源污染, DAGUM基尼系数, 区域差异

Abstract:

Under the dual constraints of resources and environment, examining the calculation indicators, evolutionary characteristics, and regional differences of agricultural non-point source pollution in the Yellow River Basin plays an important foundational role in promoting ecological protection and high-quality agricultural development. This article takes agricultural fertilizers, livestock and poultry farming, and crop solid waste as pollution units, uses inventory analysis method to calculate the agricultural non-point source pollution emissions and emission intensity of nine provinces in the Yellow River Basin from 2006 to 2022, and uses DAGUM GINI coefficient method to calculate the regional differences. Research has shown that: (1) The overall trend of agricultural non-point source pollution emissions and emission intensity in the Yellow River Basin is deteriorating, with an average annual growth rate of 1.85% and 1.06%, respectively. The main source is COD pollutants. (2) There are significant differences in agricultural non-point source pollution caused by various pollution sources in the Yellow River Basin. Livestock and poultry farming has the highest contribution rate to COD and TP, while crop solid waste has the highest contribution rate to TN. (3) From 2006 to 2022, the regional internal differences in the intensity of agricultural non-point source pollution emissions in the Yellow River Basin have shown a narrowing trend, with regional differences being the main source, and there is an imbalance in pollution control between regions.

Key words: Yellow River Basin, agricultural non-point source pollution, DAGUM GINI coefficient, regional differences

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