Tryptophan-like fluorescence as a fingerprint of dry-weather misconnections into storm drainage system

摘要: Inappropriate dry-weather misconnections into storm drainage system are a demanding environmental problem worldwide, which leads to unexpected discharge surface waters. It often costs large amount of manpower and resources identify the source estimate its contributions. In this study, we evaluated possibility quantifying proportional contribution in with from domestic sewage river water inflow, using rapid low-cost fluorescence spectroscopy methods. For purpose, samples both misconnection sources outflows were collected analyzed downtown catchment Shanghai, China. Results showed that fluorescent peak intensity tryptophan-like T1 (802 ± 126 a.u.) was significantly higher than urban (57 ± 12 a.u.), while intensities T2 (732 ± 304 much (261 ± 64 due increased algal activity local upstream inflow chemistry. However, only passed conservative behavior test incubation experiments, could be used as fingerprint for quantitatively identifying misconnections. We further developed Bayesian mass balance model (FMBM) infer percentage function outflow. found maximum posteriori probability intrusion drains up 20.8% site, validated by results on-site investigation. Our findings implied situ sensors FMBM applied fast track inappropriate qualitatively low costs.