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Innovative framework to simulate the fate and transport of nonconservative constituents in urban combined sewer catchments
Author(s) -
Morales V. M.,
Quijano J. C.,
Schmidt A.,
Garcia M. H.
Publication year - 2016
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1002/2016wr018807
Subject(s) - hydrograph , watershed , environmental science , hydrology (agriculture) , storm water management model , drainage basin , biochemical oxygen demand , hydrological modelling , probabilistic logic , sanitary sewer , stormwater , environmental engineering , surface runoff , computer science , sewage treatment , engineering , chemical oxygen demand , geology , geotechnical engineering , ecology , geography , cartography , climatology , machine learning , artificial intelligence , biology
We have developed a probabilistic model to simulate the fate and transport of nonconservative constituents in urban watersheds. The approach implemented here extends previous studies that rely on the geomorphological instantaneous unit hydrograph concept to include nonconservative constituents. This is implemented with a factor χ that affects the transfer functions and therefore accounts for the loss (gain) of mass associated with the constituent as it travels through the watershed. Using this framework, we developed an analytical solution for the dynamics of dissolved oxygen (DO) and biochemical oxygen demand (BOD) in urban networks based on the Streeter and Phelps model. This model breaks down the catchment into a discreet number of possible flow paths through the system, requiring less data and implementation effort than well‐established deterministic models. Application of the model to one sewer catchment in the Chicago area with available BOD information proved its ability to predict the BOD concentration observed in the measurements. In addition, comparison of the model with a calibrated Storm Water Management Model (SWMM) of another sewer catchment from the Chicago area showed that the model predicted the BOD concentration as well as the widely accepted SWMM. The developed model proved to be a suitable alternative to simulate the fate and transport of constituents in urban catchments with limited and uncertain input data.