过程线
分水岭
环境科学
水文学(农业)
雨水管理模型
流域
生化需氧量
水文模型
概率逻辑
生活污水管
雨水
环境工程
地表径流
计算机科学
污水处理
工程类
化学需氧量
地质学
岩土工程
生态学
地理
气候学
人工智能
机器学习
生物
地图学
作者
Viviana Morales,Juan C. Quijano,Arthur R. Schmidt,Marcelo H. García
摘要
Abstract 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.
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