山西省农业面源污染时空变化特征及发展趋势预测
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山西电子科技学院

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X52

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国家自然科学基金项目(41502331);山西省高等学校科技创新项目(2023L461);山西省自然科学研究面上项目(202203021211248)


Temporal and spatial feature characteristics and development trend of agricultural non-point source pollution in Shanxi Province
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    摘要:

    【目的】定量分析山西省2011—2022年农业面源污染时空变化特征并预测其发展趋势,为山西省农业面源污染防治工作的开展提供科学参考。【方法】采用排污系数法和等标污染负荷法定量分析山西省农业面源污染的时空变化特征,通过建立ARIMA时间序列预测模型对其发展趋势进行预测。【结果】(1)2022年,山西省农业面源污染排放量分别为:COD 4.74 ×105 t、NH3-N 5.82×103 t、TN 2.86×104 t和TP 4.18×103 t。排放量高值区集中在吕梁市和运城市,低值区集中在太原市和阳泉市。等标污染负荷总量为3.95×1010 m3。首要污染物为TN,首要污染账户为畜禽养殖账户。(2)2011—2022年,四类污染物变化趋势表现出一致性,总体上表现为波动上升,且各项污染物最高值均出现在2022年。各行政区污染物排放量排序基本稳定,运城市和吕梁市一直占重要地位。根据等标污染负荷计算结果,12年来TN一直是首要污染物,畜禽养殖一直是首要污染账户,并且占比仍在不断上升。(3)通过确定模型参数,建立ARIMA(1,1,2)模型进行预测。预测期内山西省农业面源污染会有小幅下降,之后发展趋势表现为平稳上升。【结论】需要进一步加强对农业重点污染账户和重点污染物的防治工作,以降低农业面源污染排放量,缓解其上升趋势。

    Abstract:

    【Objective】Quantitative analysis of temporal and spatial characteristics of agricultural non-point source pollution in Shanxi Province during 2011—2022 and prediction of its development trend. It can provides scientific reference for the prevention and control of agricultural non-point source pollution in Shanxi Province. 【Methods】The temporal and spatial characteristics of agricultural non-point source pollution in Shanxi Province were analyzed by pollution emission coefficient method and equivalent pollution load method, and ARIMA model was established to predict its development trend. 【Result】(1) In 2022, the agricultural non-point source pollution in Shanxi Province produced 4.74 ×105 t of COD, 5.82×103 t of HN3-N, 2.86×104 t of TN, and 4.18×103 t of TP. The high emission areas are in Lvliang and Yuncheng, and the low emission areas are in Taiyuan and Yangquan. The equivalent pollution load was 3.95×1010 m3. The primary pollutant is TN, and the primary pollution account is the animal husbandry account. (2) From 2011 to 2022, the development trend of the four types of pollutants showed consistency. All showed fluctuation rise, and the highest value of each pollutant appeared in 2022. The ranking of pollutant in each region is stable, Yuncheng and Lvliang have always occupied an important position. TN has been the primary pollutant for 12 years, and the animal husbandry account has been the primary pollution account, and the proportion is still rising. (3) By determining model parameters, ARIMA (1,1,2) model is established for forecast. During the forecast period, agricultural non-point source pollution in Shanxi Province will decrease slightly, and then the development trend showed a steady rise. 【Conclusion】It is necessary to further strengthen the prevention and control of key agricultural pollution accounts and key pollutants, reduce the discharge of agricultural non-point source pollution, and mitigate its rising trend.

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  • 收稿日期:2024-02-24
  • 最后修改日期:2024-03-12
  • 录用日期:2024-03-12
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