Abstract
Modelling stormwater runoff, quality, and pollutant loads in a large urban catchment
Highlights
Stormwater runoff has induced flooding and degraded the receiving water bodies in many urbanized areas
Both depression storage includes impervious (Dimp) and Nimp have a negative coefficient, which indicates that the output values will increase with a decrease in these input parameters
Our study showed that the snowmelt event had a greater influence on the first flush at 50% for total suspended solids (TSS) and 45% for total phosphorus (TP), indicating the effect of a seasonal first flush
Summary
Stormwater runoff has induced flooding and degraded the receiving water bodies in many urbanized areas. Runoff reduction and the control of pollution loads at coastal areas has been a goal for the Baltic Sea states for a number of past decades (HELCOM, 2002, 2007). This is reflected in national strategies, acts, and regulations such as, in Estonia, the Estonian Water Act (Riigikogu, 2016), Tallinn stormwater strategy until 2030 (Tallinna Linnavolikogu, 2012), and Tallinn City development plan (Tallinna Linnavolikogu, 2013), among others. Extensive monitoring campaigns are not always feasible due to resource availability and associated uncertainties In such a situation, stormwater modelling is a helpful tool, which uses limited data resources and can simulate time intervals beyond the monitoring period (Vezzaro and Mikkelsen, 2012)
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