山西省农业面源污染时空变化特征及发展趋势预测
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

X501,X52

基金项目:

国家自然科学基金项目“锰矿区锰与DOM的相互作用机制及混凝去除机理研究”(41502331);山西省高等学校科技创新项目“山西省农业面源污染时空变化特征研究”(2023L461);山西省自然科学研究基金项目“复合光引发体系制备高效微藻采收絮凝剂及相关机理研究”(202203021211248)


Spatiotemporal Characteristics of Agricultural Non-point Source Pollution and Its Development Trend Forecast in Shanxi Province
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    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,为该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,通过建立自回归移动平均的(ARIMA)时间序列预测模型对其发展趋势进行预测。[结果] ①2022年山西省农业面源污染排放量分别为:化学需氧量(COD)为4.74×105 t,NH3-N为5 820 t,TN为2.86×104 t和TP为4 180 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。②2011—2022年,4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 a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] The spatiotemporal characteristics of agricultural nonpoint source pollution in Shanxi Province during 2011—2022 were analysed and its development trends was predicted in order to provide a scientific reference for the prevention and control of agricultural non-point source pollution in the Shanxi Province. [Methods] The spatiotemporal characteristics of agricultural non-point source pollution in Shanxi Province were analysed using the pollution emission coefficient and equivalent pollution load methods, and an autoregressive integrated moving average (ARIMA) model was established to predict the development trend. [Results] ① In 2022, the agricultural non-point source pollution in Shanxi Province produced 4.74×105 t of COD (chemical oxygen demand), 5 820 t of NH3-N, 2.86×104 t of total nitrogen (TN), and 4 180 t of total phosphorus (TP). The high-emission areas were located in Lvliang and Yuncheng City, and the low-emission areas were located in Taiyuan and Yangquan City. The equivalent pollution load was 3.95×1010 m3. The primary pollutant was TN, and the primary source of pollution was animal husbandry. ② From 2011—2022, the developmental trends of the four types of pollutants were consistent. All showed an increase in fluctuation, and the highest value for each pollutant was observed in 2022. The ranking of pollutants in each region was stable, with Yuncheng and Lvliang City always occupying important positions. TN has been the primary pollutant for 12 years, animal husbandry has been the source of the primary pollutant, and the proportion was still rising. ③ By determining model parameters, the ARIMA (1,1,2) model was established for the forecast. During the forecast period, agricultural non-point source pollution in Shanxi Province decreased slightly, and the development trend showed a steady increase. [Conclusion] It is necessary to strengthen the prevention and control of key agricultural pollution accounts and pollutants, reduce the discharge of agricultural nonpoint source pollution, and mitigate its rising trend.

    参考文献
    相似文献
    引证文献
引用本文

乔扬源,张鹏,党淑青.山西省农业面源污染时空变化特征及发展趋势预测[J].水土保持通报,2024,44(4):289-297

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2024-02-24
  • 最后修改日期:2024-03-12
  • 录用日期:
  • 在线发布日期: 2024-09-04
  • 出版日期: