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| Analysis on response relationship between agricultural non-point source pollution and rural water environmental quality in Hunan Province, China |
| Received:November 02, 2021 |
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| KeyWord:agricultural non-point source pollution;equivalent pollution load;water quality category;response relationship |
| Author Name | Affiliation | E-mail | | SONG Xiaoming | College of Resources and Environment, Hunan Agricultural University, Changsha 410128, China | | | LIU Wangrong | South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China | | | JIANG Shan | South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China | | | JIANG Caihong | South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China | | | WU Genyi | College of Resources and Environment, Hunan Agricultural University, Changsha 410128, China
South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China | wugenyi99@163.com |
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| Abstract: |
| The aim of this study is to reveal the response relationship between agricultural non-point source pollution and rural water environment quality and provide a theoretical basis for monitoring and controlling agricultural non-point source pollution. In this study, 46 counties in Hunan Province were taken as research objects, and the emissions of COD, TN, TP, and NH4+-N in planting industry, livestock and poultry breeding industry, aquaculture industry and rural domestic sewage in 2019 were calculated. Water pollution index method was used to evaluate the water quality in rural areas, and the correlation between agricultural non-point source standard pollution load, unit land area and unit surface runoff equivalent pollution load, and water pollution index were analyzed. The results showed that the main sources of agricultural non-point source pollution were livestock and poultry breeding and rural domestic sewage, and TN was the dominate pollutant. The main sources of four pollutions were livestock and poultry breeding for COD, rural domestic sewage for TP, and planting and breeding for TN and NH4+-N. Among the water quality categories of rural water in the 46 counties, 19 were classified as Ⅲ and below, 15 were classified as Ⅳ, 7 were classified as V, and 5 were classified as inferior V, and TN was the primary indicator for poor water quality category. No obvious correlation was observed between the equivalent emissions and the water quality categories; however, significant positive correlation occurred for the unit land area and surface runoff equivalent pollution loads and water quality categories, and the correlation coefficients were 0.979 2 and 0.993 3, respectively. Among the four main pollutants, the equivalent pollution load of COD per unit of land area and unit of surface runoff had no obvious correlation with water quality categories; however, TN, TP, NH4+-N positively correlated with water quality categories, which were the main influencing factors of water quality changes in rural water bodies in Hunan, and TN was the decisive factor of water quality category. The quality categories of rural water could be preliminarily predicted through the function model obtained from this study, which would effectively reduce the difficulty and cost of monitoring rural water environment quality. In addition, this study provides a scientific basis for supervising different types of agricultural pollution sources. |
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