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Volume 40 Issue 9
Nov.  2022
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Article Contents
ZHANG Zhi-jie, WEN Fei, ZHANG Ya-qun, ZHOU Jing, FENG Ai-ping. CHARACTERISTICS AND SOURCE ANALYSIS OF NON-POINT SOURCE POLLUTION LOAD IN THE YELLOW RIVER BASIN ON A REGIONAL SCALE[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(9): 81-88,142. doi: 10.13205/j.hjgc.202209011
Citation: ZHANG Zhi-jie, WEN Fei, ZHANG Ya-qun, ZHOU Jing, FENG Ai-ping. CHARACTERISTICS AND SOURCE ANALYSIS OF NON-POINT SOURCE POLLUTION LOAD IN THE YELLOW RIVER BASIN ON A REGIONAL SCALE[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(9): 81-88,142. doi: 10.13205/j.hjgc.202209011

CHARACTERISTICS AND SOURCE ANALYSIS OF NON-POINT SOURCE POLLUTION LOAD IN THE YELLOW RIVER BASIN ON A REGIONAL SCALE

doi: 10.13205/j.hjgc.202209011
  • Received Date: 2021-11-30
    Available Online: 2022-11-09
  • Grasping the characteristics and sources of non-point source pollution load in the Gansu section of the Yellow River Basin is an important basis for improving the level of water pollution control on a regional scale. Based on the DPeRS model, this study selected four pollution indicators of total nitrogen, total phosphorus, ammonia nitrogen and chemical oxygen demand, from the five major pollution types, farmland runoff, urban runoff, livestock and poultry breeding, rural life, and soil erosion. Pollution load estimation, pollution source analysis and spatial distribution analysis were carried out on non-point source pollution of nine cities(prefectures) and 58 districts(counties). The results showed that: from the model estimation results, the average non-point source pollution load of total nitrogen, total phosphorus, ammonia nitrogen and chemical oxygen demand in the entire basin in 2018 was 65.6,11.8,19.1, 77.2 kg/km2. From the regional scale analysis, the area with the highest non-point source pollution load of total nitrogen and total phosphorus in the Yellow River Basin of Gansu was Anning District, Lanzhou, which accounted for 10.83% and 5.16% of the total load of the entire basin respectively; the area with the highest non-point source pollution load of ammonia nitrogen and chemical oxygen demand was Linxia City in Linxia Prefecture, respectively, accounted for 26.23% and 56.56% of the total load of the entire basin. From the analysis of pollution sources, the primary pollution sources of total nitrogen, total phosphorus, ammonia nitrogen and chemical oxygen demand were farmland runoff, soil erosion, farmland runoff, and livestock and poultry farming. From the spatial distribution analysis, the total non-point source pollution load of each district(county) of the Yellow River Basin presented a distribution characteristic of middle-high and low sides. The areas with heavier pollution load were mainly concentrated in local areas such as the Lanzhou section of the Yellow River, the Linxia section of the Daxia River, and the Tianshui section of the Weihe River.
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  • [1]
    杨奇奇,靳峰,张富,等.甘肃黄河流域生态环境现状及防治对策[J].中国水土保持,2021(4):26-30.
    [2]
    李家科,彭凯,郝改瑞,等.黄河流域非点源污染负荷定量化与控制研究进展[J].水资源保护,2021,37(1):90-102.
    [3]
    梁冬梅.小流域面源污染特征与控制技术研究[D].长春:吉林大学,2014.
    [4]
    高康宁.兰州段黄河流域农业面源污染分析研究[D].兰州:兰州大学,2009.
    [5]
    华维霞.2007—2012年黄河兰州段农业非点源污染研究[D].西安:西北师范大学,2015.
    [6]
    刘全諹,齐明亮,马啸宙,等.基于遥感和GIS的洮河流域面源污染流域尺度模拟及防治对策研究[J].干旱区地理,2020,43(3):706-714.
    [7]
    康启燕.祖厉河流域农业面源污染特征研究[D].兰州:甘肃农业大学,2016.
    [8]
    任艺彬,巨天珍,卢造权,等.庆阳市马莲河、蒲河流域总氮总磷污染特征及其控制策略[J].湖北农业科学,2016,55(17):4460-4464.
    [9]
    韩柳.湟水流域面源污染负荷分析与模拟研究[D].西安:长安大学,2020.
    [10]
    LI H Z,ZHANG M X. A review on the calculation of non-point source pollution loads[J]. IOP Conference Series Earth and Environmental Science,2019,344:012138.
    [11]
    冯爱萍,王雪蕾,徐逸,等.基于DPeRS模型的海河流域面源污染潜在风险评估[J].环境科学,2020,41(10):4555-4563.
    [12]
    杨艳春,闫莉,程伟.黄河流域非点源污染估算研究[J].人民黄河,2011,33(11):66-68.
    [13]
    HENRI C V, HARTER T, DIAMANTOPOULOS E. On the conceptual complexity of non-point source management:impact of spatial variability[J]. Hydrology and Earth System Sciences,2020,24(3):1189-1209.
    [14]
    WANG X L,WANG Q,WU C Q,et al. A method coupled with remote sensing data to evaluate non-point source pollution in theXin’anjiang catchment of China[J]. Science of the Total Environment,2012,430:132-143.
    [15]
    王谦,冯爱萍,于学谦,等.DPeRS模型在重点流域面源污染优控单元划分中的应用:以吉林省为例[J].环境与可持续发展,2016,41(4):111-115.
    [16]
    殷守敬,吴传庆,王晨,等.综合遥感与地面观测的巢湖水体富营养化评价[J].中国环境监测,2018,34(1):157-164.
    [17]
    JOY T A,MUTHUKRISHNA V K. Assessing non-point source pollution models:a review[J]. Polish Journal of Environmental Studies,2018,27(5):1913-1922.
    [18]
    WU B F. Watershed remote sensing:methodology and a paradigm in Hai Basin[J]. Journal of Remote Sensing,2011,15(2):201-223.
    [19]
    王雪蕾,王新新,朱利,等.巢湖流域氮磷面源污染与水华空间分布遥感解析[J].中国环境科学,2015,35(5):1511-1519.
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