Priority control area identification and supervision scheme for rural domestic sewage treatment facilities
WANG Min1,2, XU Feng3, SONG Xiao-yan2, LIU Rui2, ZHANG Yong-ming1, CHEN Lü-jun2,4
1. College of Environmental and Geographic Science, Shanghai Normal University, Shanghai 200234, China;
2. Zhejiang Provincial Key Laboratory of Water Science and Technology, Department of Environment, Yangtze Delta Region Institute of Tsinghua University in Zhejiang, Jiaxing 314006, China;
3. Jiaxing City Housing and Urban-rural Construction Bureau, Jiaxing 314006, China;
4. School of Environment, Tsinghua University, Beijing 100084, China
Xiuzhou district and Haining county in Jiaxing were chosen as the research objects in the present work,and the emission intensity of ammonia nitrogen (NH3-N), total phosphorus (TP) and chemical oxygen demand (COD) from rural sewage treatment facilities in each town were quantitatively estimated and spatially analyzed using a comprehensive source intensity estimation method based on global information system (GIS). The results showed that higher emission intensities of NH3-N and COD were observed in Xiuzhou district, and similar intensity of TP in both areas.And in Xiuzhou district, Honghe town had the highest emission intensities in all the three pollutants. While in Haining county, the highest emission intensity of NH3-N was fonud in Yanguan town and the highest emission intensities of TP and COD were in Xucun town. Rural sewage discharge weights were calculated via both factor analysis and weighted index methods. The priority zones for maintenance and supervision were then screened out based on the rural sewage discharge weights combining with ecological sensitivity assessment and environmental function zoning. In Xiuzhou district, Honghe, Wangjiangjing and Youchegang were selected as the priority control zones, which accounted for 27.87% of facilities and 72.42% of the pollutants discharge. By supervising 17.66% of all the facilities, 59.98% of the pollutants discharge in this district could be monitored. In Haining county, Changan, Xucun, Haizhou, Yanguan and Yuanhua were chosen as the priority control zones, which accounted for 69.10% of facilities and 71.23% of the total pollutant weight. 43.54% of the pollutants discharge in the country could be monitored by supervising 16.85% of the total facilities. The obtained research results could provide technical support to improve the efficiency of facility operation and maintenance supervision.
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