长江流域资源与环境 >> 2023, Vol. 32 >> Issue (1): 162-171.doi: 10.11870/cjlyzyyhj202301015

• 生态环境 • 上一篇    下一篇

洞庭湖流域氮磷污染风险评价与时空分布特征

胡光伟1,2,3,冯海丽1,2,马逸岚1,2,周希1,2,冯畅3,黄丽媛1,2
  

  1. (1. 湖南工业大学城市与环境学院,湖南 株洲 412007;2. 湖南工业大学农牧业废弃物资源化综合利用湖南省重点实验室,湖南 株洲 412007;3. 衡阳师范学院城市与旅游学院,湖南 衡阳 421002)
  • 出版日期:2023-01-20 发布日期:2023-03-09

Risk Assessment and Spatial-temporal Distribution Characteristics of #br# Nitrogen and Phosphorus Pollution in Dongting Lake Basin

HU Guang-wei1,2,3, FENG Hai-li1,2, MA Yi-lan1,2, ZHOU Xi1,2, FENG Chang3, HUANG Li-yuan1,2   

  1. (1. Hunan University of Technology, Zhuzhou, Hunan province, 412007, China; 2. Hunan Provincial Key Laboratory of Comprehensive Utilization of Agricultural and Animal Husbandry Waste Resources, Zhuzhou, Hunan province, 412007, China; 
    3.College of City and Tourism, Hengyang Normal University, Hengyang, Hunan province, 421002, China)
  • Online:2023-01-20 Published:2023-03-09

摘要:  洞庭湖农业面源污染日益严重,深入了解洞庭湖流域氮磷污染的时空分布特征,是促进洞庭湖流域面源污染治理需解决的科学问题。运用改进输出系数模型、等标污染负荷法对洞庭湖流域25个县(市、区)的TN、TP污染物负荷量进行计算,借助GIS软件绘制TN、TP污染负荷空间分布图,分析流域TN、TP污染负荷量的时空变化特征。结果表明:(1)从空间尺度上看,TN、TP污染负荷量在空间排放上呈现明显的地域差异特征,安化县、桃源县、石门县、平江县、桃江县等县区是洞庭湖流域农业面源污染的重点防治区域,污染负荷较高的区域集中分布在流域的上游。(2)从时间尺度上看,2010、2015、2019年TN污染负荷量分别为11.95、10.90、6.95万t/a,TP污染负荷量分别为7.60、7.00、4.21万t/a,洞庭湖流域TN、TP污染物负荷量呈现明显减少趋势,TN污染负荷量始终大于TP污染负荷量。(3)从畜禽养殖、土地利用和居民生活3个方面来看,TN、TP污染负荷量也呈现出递减规律。(4)运用聚类分析方法将流域分为复合污染型、畜禽养殖污染型、土地利用污染型、居民生活污染型4种类型。最后,为推进洞庭湖流域氮磷污染的综合治理,结合TN、TP污染负荷量的时空分异特征,提出了有针对性的采取种植业科学施肥、合理规划畜禽养殖规模和分区、整治农村人居环境、切合实际发展生态农业等措施。


Abstract: Agricultural non-point source pollution in Dongting Lake is becoming increasingly serious. It is a scientific issue to understand the spatial and temporal distribution characteristics of nitrogen and phosphorus pollution in Dongting Lake basin.The improved output coefficient model and equal-standard pollution load method were used to calculate the TN and TP pollution load of 25 counties (cities and districts) in Dongting Lake Basin. The spatial distribution map of TN and TP pollution load was drawn with GIS to analyze the temporal and spatial variation characteristics of TN and TP pollution load in the basin. The results show that:(1)From the perspective of spatial scale, TN and TP pollution load on dimensional emissions has obvious regional differences in characteristics, and counties and districts such as Anhua, Taoyuan, Shimen, Pingjiang and Taojiang counties are the key prevention and control areas of agricultural surface source pollution in the Dongting Lake basin, and the areas with higher pollution load are concentrated in the upper reaches of the basin. (2)From the perspective of time scale, the TN pollution load was 11.95, 10.90 and 6.95 ×104 t/a and TP pollution load was 7.60, 7.00 and 4.21 ×104 t/a in 2010, 2015 and 2019, respectively. The TN and TP pollutant loads in the Dongting Lake Basin showed a significant reduction trend, and the TN pollution load was always larger than the TP pollution load. (3)TN and TP pollution load also showed a decreasing law from livestock and poultry breeding, land use and residents' life. (4)Cluster analysis method was used to classify the basin into four types: compound pollution, livestock and poultry breeding pollution, land use pollution and residential life pollution. Finally, in order to promote the comprehensive control of nitrogen and phosphorus pollution in Dongting Lake Basin, combined with the temporal and spatial characteristics of TN and TP pollution loads, some measures were put forward, such as scientific fertilization for planting industry, rational planning of livestock and poultry breeding scale and zoning, improvement of rural living environment, and development of ecological agriculture in accordance with the reality.

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