文章摘要
冯爱萍,郝新,罗仪宁,王雪蕾,李宣瑾,黄莉.滦河流域承德市非点源污染遥感模型评估分析[J].农业环境科学学报,2022,41(11):2417-2427.
滦河流域承德市非点源污染遥感模型评估分析
Evaluation and analysis of non-point source pollution in Chengde City, Luanhe River Basin using a remote sensing model
投稿时间:2022-05-07  
DOI:10.11654/jaes.2022-0462
中文关键词: 非点源污染  DPeRS模型  遥感  滦河流域  承德市
英文关键词: non-point source pollution  DPeRS model  remote sensing  Luanhe River Basin  Chengde City
基金项目:国家重点研发计划项目(2021YFE0102300);国家自然科学基金项目(41871346);全球环境基金水资源与水环境综合管理主流化项目(P145897)
作者单位E-mail
冯爱萍 生态环境部卫星环境应用中心, 北京 100094  
郝新 北京师范大学, 北京 100875  
罗仪宁 陕西省环境监测中心站, 西安 710054  
王雪蕾 生态环境部卫星环境应用中心, 北京 100094 wxlbnu@163.com 
李宣瑾 生态环境部对外合作与交流中心, 北京 100035  
黄莉 生态环境部卫星环境应用中心, 北京 100094  
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中文摘要:
      本研究采用遥感分布式非点源污染评估模型(DPeRS),对滦河流域承德市非点源污染负荷的空间分布特征和污染来源进行遥感像元尺度评估分析,进一步识别非点源污染优控单元,并探讨分析了非点源污染贡献率及影响因子。结果表明:污染量上,2019年滦河流域承德市总氮(TN)、总磷(TP)、氨氮(NH4+-N)和化学需氧量(CODCr)非点源污染排放负荷分别为0.12、0.014、0.06 t·km-2和0.05 t·km-2,入河量分别为119.6、7.8、70.3 t和49.8 t;污染类型上,滦河流域承德市氮型(TN和NH4+-N)非点源污染的主要来源是农田径流,TP主要是来自农田径流和水土流失,CODCr主要污染来源是畜禽养殖;空间分布上,滦河流域承德市非点源污染高负荷区主要分布在流域的中部和南部地区,TN和NH4+-N的非点源污染优控单元面积占比均达到65%以上,而TP为整个区域需防控的非点源污染指标。降水量与氮磷非点源污染入河负荷相关性较好,丰水期TN和TP非点源污染对河流中氮磷污染的贡献率分别为33%和50%;控制单元内耕地和林地面积占比与水土流失型氮磷非点源污染排放负荷的决定系数均超过0.5。因此,重点应从源头上防范丰水期非点源污染排放,建议进一步加强水土保持工作,以减少林草天然源水土流失引发的非点源污染排放,同时也应加强农田养分管理以减少养分流失。
英文摘要:
      In this study, a remote sensing distributed non-point source pollution assessment model was used to evaluate and analyze the spatial distribution characteristics of the non-point source pollution load and pollution sources in Chengde City of the Luanhe River Basin, using a remote sensing pixel scale. Further, the priority control unit of non-point source pollution was identified, and the contribution rate and influencing factors of non-point source pollution were analyzed. The results showed that, in 2019, the non-point source pollution discharge loads of total nitrogen (TN), total phosphorus(TP), ammonia nitrogen(NH4+-N), and chemical oxygen demand(CODCr)were 0.12 t·km-2, 0.014 t·km-2, 0.06 t·km-2, and 0.05 t·km-2, respectively, with the amount of river entry being 119.6 t, 7.8 t, 70.3 t, and 49.8 t, respectively. Farmland runoff was the most important source of TN and NH4+-N non-point source pollution in Chengde City. TP non-point source pollution mainly came from farmland runoff and soil erosion. For the CODCr index, livestock was the primary source of non-point source pollution. Non-point source pollution was relatively serious in the central and southern areas of Chengde City. The optimal control unit area accounted for more than 65% of TN and NH4+-N non-point source pollution, and the TP was the non-point source pollution index to be controlled in the whole region. There was good correlation between precipitation and the load of nitrogen and phosphorus non-point source pollution entering the river, and the contribution rates of TN and TP non-point source pollution to nitrogen and phosphorus pollution in the river were 33% and 50%, respectively. The determination coefficients of the proportion of cultivated land and woodland in the control unit and the discharge load of soil-erosion-type non-point source pollution of TN and TP were all greater than 0.5. Therefore, non-point source pollution discharge at the source during the wet season should be prevented. These findings suggest that soil and water conservation work should be further strengthened to reduce the non-point source pollution discharge caused by soil erosion in natural sources of forest and grass, and farmland nutrient management should be strengthened to reduce nutrient loss.
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