张家口冬奥会核心区非点源污染负荷估算 |
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引用本文: | 张冉,夏建新,任华堂. 张家口冬奥会核心区非点源污染负荷估算[J]. 水利水运工程学报, 2020, 0(4): 72-79. DOI: 10.12170/20190822001 |
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作者姓名: | 张冉 夏建新 任华堂 |
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作者单位: | 中央民族大学生命与环境科学学院,北京100081;中央民族大学生命与环境科学学院,北京100081;中央民族大学生命与环境科学学院,北京100081 |
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基金项目: | 国家水体污染控制与治理重大专项(2017ZX07101002) |
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摘 要: | 确定非点源污染负荷量对于张家口冬奥会核心区水环境安全具有重要意义。利用输出系数法,结合数字高程模型,根据2015年土地利用遥感数据及2007—2016年统计年鉴数据,计算了非点源污染输出负荷量和空间分布,分析了不同类型污染负荷的贡献。结果表明:(1)2007—2016年非土地利用因素污染源年输出的TN污染负荷量为1 154.25~17 540.39 kg;年输出COD污染负荷量为2 114.76~34 552.41 kg;年输出TP污染负荷量为51.29~842.54 kg;年输出NH4+-N污染负荷量为34.40~514.88 kg。(2)土地不同利用类型输出的TN污染负荷量为33 372.94 kg;COD污染负荷量为21 453.45 kg;TP的污染负荷量为512.82 kg;NH4+-N的污染负荷量为1 129.78 kg。(3)农业人口生活和耕地为输出非点源污染负荷量的主要污染源。(4)污染物输出负荷量的空间分布不均匀,东沟上游子流域和下游出口子流域的输出量比较高,太子城河中下游子流域输出负荷量相对较高。
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关 键 词: | 冬奥会核心区 输出系数法 非点源 污染负荷 |
收稿时间: | 2019-08-22 |
Estimation of non-point source pollution load in core area of Zhangjiakou Winter Olympic Games |
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Affiliation: | College of Life and Environmental Science, Minzu University of China, Beijing 100081, China |
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Abstract: | Evaluating the non-point source pollution load is imperative for the water environment safety of the core area of the Zhangjiakou Winter Olympic Games. Using the export coefficient modeling approach, along with the digital elevation model, the 2015 land use remote sensing data, and the 2007–2016 statistical yearbook data, the non-point source pollution output load and spatial distribution were calculated, and the contributions of different types of pollution loads were analyzed. The results were as follows: (1) From non-land use factors pollution source, the annual output of pollution load of TN, COD, TP and NH4+-N were 1,154.25~17,540.39 kg, 2,114.76~34,552.41 kg, 51.29~842.54 kg and 34.40~514.88 kg, respectively. (2) Under different land use types, the output of pollution load of TN, COD, TP and NH4+-N were 33,372.94, 21,453.45, 512.82 and 1,129.78 kg, respectively. (3) The agricultural population life and cultivated land were the major sources of pollution for the output of non-point source pollution loads. (4) The spatial distribution of pollutant output load was uneven. In addition, the output of the upper sub-basin and the downstream sub-basin of Donggou was relatively high. Furthermore, the output load of sub-basin in the middle and lower reaches of the Taizicheng River was relatively high. |
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