Source Jouranl of CSCD
Source Journal of Chinese Scientific and Technical Papers
Included as T2 Level in the High-Quality Science and Technology Journals in the Field of Environmental Science
Core Journal of RCCSE
Included in the CAS Content Collection
Included in the JST China
Indexed in World Journal Clout Index (WJCI) Report
BAI Xiu-jia, ZHANG Hong-yu, GU Jun, ZHANG Qi, WANG Ji-hong. PHYSICO-CHEMICAL PROPERTIES AND RESOURCE UTILIZATION OF STALE REFUSE IN LANDFILL[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(2): 116-120,124. doi: 10.13205/j.hjgc.202102018
Citation: TAN Qiong. PROFILING ON POLLUTION OF URBAN DRAINAGE PUMPING OUTFLOW DURING WET WEATHER[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(11): 64-68. doi: 10.13205/j.hjgc.202311012

PROFILING ON POLLUTION OF URBAN DRAINAGE PUMPING OUTFLOW DURING WET WEATHER

doi: 10.13205/j.hjgc.202311012
  • Received Date: 2023-08-16
    Available Online: 2023-12-25
  • Unsupervised learning with K-means clustering is used to identify pollution characteristics of urban drainage pumping outflow during wet weather. Indicators including pumping station asset property and behavior data are chosen and then profiled for over 200 pumping stations of Shanghai downtown area. It shows that these pumping stations are classified into 4 clusters including low-frequency high-concentration, high-frequency low-concentration, high-frequency high-pollution, and medium-frequency medium-pollution, and the last 2 clusters are of higher priority for pollution control measures. The method used to profile pumping stations shows reasonable results and is of great value for policymakers to deploy drainage quality improving and efficiency enhancing measures.
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