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孔 阳, 陈雨璇, 何伟军, 彭青玲, 郝雨欣.基于灰水足迹和三角模糊数的黄河流域农业水污染核算及超标风险分析水资源与水工程学报[J].,2025,36(4):53-60
基于灰水足迹和三角模糊数的黄河流域农业水污染核算及超标风险分析
Agricultural water pollution accounting and exceedance risk analysis of the Yellow River Basin based on grey water footprint and triangular fuzzy numbers
  
DOI:10.11705/j.issn.1672-643X.2025.04.07
中文关键词:  农业水污染  灰水足迹  三角模糊数  水资源可持续  超标风险  畜牧业  流域治理  黄河流域
英文关键词:agricultural water pollution  grey water footprint  triangular fuzzy numbers  water resources sustainability  risk of exceeding standard  animal husbandry  watershed management  the Yellow River Basin
基金项目:国家自然科学基金青年项目(72404169); 教育部人文社会科学研究青年基金项目(24YJC630094); 国家社会科学基金重大项目(2019ZDA089)
作者单位
孔 阳1,2, 陈雨璇1, 何伟军1,2, 彭青玲3, 郝雨欣1 (1.三峡大学 经济与管理学院 湖北 宜昌 443002 2.湖北省高校人文社科重点研究基地——流域综合治理与水经济发展研究中心 湖北 宜昌 443002 3.河海大学 商学院 江苏 南京 211100) 
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中文摘要:
      黄河流域作为我国关键的农业生产区域,农业引发的水污染问题给该地区的水资源安全带来了严峻挑战,迫切需要在全面核算并评估其超标风险的基础上,实施针对性的减排措施。为了克服因各省(区)水质标准差异对评估结果造成的影响,采用了灰水足迹结合三角模糊数的方法,对2012—2022年间黄河流域农业水污染情况进行了量化分析,并深入探讨了不同产业以及主要污染物在时空上的变化特点及其超标风险。结果表明:黄河流域农业灰水足迹总体上呈现出13.01%的下降趋势,然而其超标风险依然维持在一个较高水平;省(区)间农业水污染程度存在显著差异,山东省、河南省和内蒙古自治区的农业灰水足迹较高,且面临较高的超标风险;陕西省、山西省、宁夏回族自治区和甘肃省尽管农业灰水足迹相对较低,但由于受到本地水资源条件的限制,这些地区的超标风险同样被评定为高风险;此外,黄河流域内畜牧业水污染远超种植业,其中畜牧业灰水足迹经历了“先升-后降-再升”的波动过程,而种植业灰水足迹则整体下降了33.04%;值得注意的是,黄河流域各省(区)在农业氮污染方面的问题尤为突出,农业总氮灰水足迹超标风险在9个省(区)中普遍存在且较高。提出了一整套针对水污染的分析方法体系,这将为流域内的水污染差异化评估和相关调控政策的制定提供重要的决策依据。
英文摘要:
      The Yellow River Basin serves as a crucial agricultural production region in China; however, water pollution caused by agricultural activities in this area has posed a severe threat to the water resources security. It is urgent to implement targeted emission reduction measures on the basis of comprehensive accounting for agricultural water pollution and assessing of its risk of exceeding the permitted standards. To overcome the impact of differences in water quality standards among provinces and regions on assessment results, we combined grey water footprint with triangular fuzzy numbers to quantitatively analyze the status of agricultural water pollution in the Yellow River Basin from 2012 to 2022, and further explored the spatiotemporal variation characteristics and exceedance risk of different industries and major pollutants. The results show that the agricultural grey water footprint across the Yellow River Basin exhibited a general decline of 13.01%, but its exceedance risk remained at a high level. There were significant differences in the degree of agricultural water pollution among provinces and regions in the basin. Shandong, Henan, and Inner Mongolia had relatively high agricultural grey water footprints and faced a high risk of exceeding standards. Although Shaanxi, Shanxi, Ningxia, and Gansu had relatively low agricultural grey water footprints, the exceedance risk in these regions was still assessed as high, due to the limited local water resources. In addition, water pollution from animal husbandry in the Yellow River Basin was significantly higher than that from crop cultivation. While the grey water footprint of animal husbandry displayed a fluctuating “increase-decrease-increase” trend, that of crop cultivation showed an overall decline of 33.04%. Notably, the problem of agricultural nitrogen pollution was particularly prominent in all provinces and regions of the Yellow River Basin, and the risk of exceeding standards for the agricultural total nitrogen grey water footprint was widespread and rather high. The research establishes a comprehensive analytical framework for water pollution assessment, providing a crucial decision-making support for the differentiated assessment of water pollution and the formulation of relevant regulatory policies in the basin.
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