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Evaluation and analysis of non-point source pollution in Chengde City, Luanhe River Basin using a remote sensing model
Received:May 07, 2022  
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KeyWord:non-point source pollution;DPeRS model;remote sensing;Luanhe River Basin;Chengde City
Author NameAffiliationE-mail
FENG Aiping Center for Satellite Application on Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094, China  
HAO Xin Beijing Normal University, Beijing 100875, China  
LUO Yining Shaanxi Environmental Monitoring Center, Xi'an 710054, China  
WANG Xuelei Center for Satellite Application on Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094, China wxlbnu@163.com 
LI Xuanjin Foreign Cooperation and Exchange Center, Ministry of Ecology and Environment, Beijing 100035, China  
HUANG Li Center for Satellite Application on Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094, China  
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Abstract:
      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.