Climate, Pollution and Adaptation
Chapter 6: Modelling water pollutant processes
Stormwater is one of the most critical contributors to receiving water pollution. To achieve sustainability in water environments, mitigating stormwater pollution is of critical importance. Stormwater quality modelling plays a pivotal part in informed decision-making in relation to stormwater pollution mitigation. In general, a model is considered as the replication of a real-world system by using a collection of numerically simulated processes. In reality, a model is often a simplification of the real-world system. A stormwater quality model is no different to this, and is formulated primarily to replicate the urban stormwater system by using simplified mathematical equations to replicate pollutant processes. As noted by Zoppou (2001), stormwater quality models can be categorised as stochastic or deterministic models. Stochastic models are based on statistical distribution of stormwater quality. These models typically do not replicate pollutant processes. Model for Urban Stormwater Improvement (MUSIC) is an example of a stochastic stormwater quality model, which is one of the popular stormwater quality models used in Australia (MUSIC, 2009). This chapter does not intend to discuss stochastic models in detail, primarily due to the fact that these models do not use equations to replicate pollutant processes. Deterministic stormwater quality models utilise mathematical equations to replicate processes such as pollutant build-up and wash-off. SWMM is an example of a deterministic stormwater quality model which replicates pollutant build-up and wash-off processes (Huber and Dickinson, 1988).
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