Locating the sewer network defect based on marker investigation at pipe manholes
XU Zu-xin1,2, WANG Shi-jing2, YIN Hai-long1, LI Huai-zheng1
1. Key Laboratory of Yangtze River Water Environment, Ministry of Education, Tongji University, Shanghai 200092, China;
2. State Key Laboratory of Pollution Control and Resource Reuse, Tongji University, Shanghai 200092, China
The catchment scale assessment of sewer defect conditions based on physical or flow inspection method is usually very labour-intensive and even hard to perform. Therefore, a novel cost-effective method to locate groundwater infiltration into the sewers and accordingly assess the sewer network defect severity was presented, using chemical markers monitoring at pipe manholes and a geographical information system that integrates sewer network and discharged destinations of sewage sources. With acesulfame as the marker of sanitary sewage, the spatial groundwater infiltration into the sewers was investigated within the 14.4km2 catchment served by a wastewater treatment plant in Chaohu City, Anhui Province. Based on that, the locations of serious sewer network defect were also identified. The quantified groundwater infiltration into the sewers using marker monitoring was comparable to the data from the catchment water flow balance and measured groundwater inflow of one typical sewer segment, with a relative error of 21.0% and 5.4% respectively. This indicated the developed method was reliable. It was found that one sewer segment covering only 0.3% of the total sewer length even contributed to 23.0% of the total infiltrated groundwater within the area. From this perspective, the repair of local serious sewer defect would obviously lower the defect grade of the whole sewer network. The basic principle to perform this method was finally suggested.
徐祖信, 王诗婧, 尹海龙, 李怀正. 基于节点水质监测的污水管网破损位置判定方法[J]. 中国环境科学, 2016, 36(12): 3678-3685.
XU Zu-xin, WANG Shi-jing, YIN Hai-long, LI Huai-zheng. Locating the sewer network defect based on marker investigation at pipe manholes. CHINA ENVIRONMENTAL SCIENCECE, 2016, 36(12): 3678-3685.
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Kracht O,Gresch M,Gujer W.A stable isotope approach for the quantification of sewer infiltration[J].Environmental science&technology,2007,41(16):5839-5845.
[7]
Houhou J,Lartiges B S,France-Lanord C,et al.Isotopic tracing of clear water sources in an urban sewer:a combined water and dissolved sulfate stable isotopic approach[J].Water Research,2010,44(1):256-266.
Burger I J,Buser H R,Kahle M,et al.Ubiquitous occurrence of the artificial sweetener acesulfame in the aquatic environment:an ideal chemical marker of domestic wastewater in groundwater[J].Environmental Science and Technology,2009,43:4381-4385.
[14]
Tran N H,Hu J Y,Li J H,et al.Suitability of artificial sweeteners as indicators of raw wastewater contamination in surface water and groundwater[J].Water Research,2014,48:443-456.
Duan Y P,Meng X Z,Wen Z H.Acidic pharmaceuticals in domestic wastewater and receiving water from hyperurbanization city of China (Shanghai):environmental release and ecological risk[J].Environmental Science Pollution Research,2013,20(1):108-116.
[17]
Xu Z X,Wang L L,Yin H L,et al.Source apportionment of non-storm water entries into storm drains using marker species:modeling approach and verification[J].Ecological Indicators,2016,61:546-557.
[18]
Scheurer M.,Brauch,H J,Lange F.Analysis and occurrence of seven artificial sweeteners in German wastewater and surface water and soil aquifer treatment (SAT)[J].Analytical and Bioanalytical Chemistry,2009,394:1585-1594.
[19]
Kafi M,Gasperi J,Moilleron R,et al.Spatial variability of the characteristics of combined wet weather pollutant loads in Paris[J].Water Research,2008,42:539-549.
