Modelling stormwater runoff, quality, and pollutant loads in a large urban catchment; pp 225–242

Estonian Academy of Sciences. Proceedings

Bharat Maharjan¹ 

关键词: ydrologic modelling;    impervious area;    event mean concentrations;    mass loads;    first flush.;   

DOI  :  10.3176/proc.2017.3.02

学科分类：化学（综合）

来源: Teaduste Akadeemia Kirjastus

【 摘 要 】

Identification of stormwater runoff, its pollution load, and theirimplications for land use is essential in implementing stormwatermanagement strategies. Hydrologic modelling provides an opportunity toassess them at limited data resources. In this study, the stormwatermanagement model SWMM5 is applied for model development for a largebasin in Tallinn. A geographic information system tool is used forsubcatchment delineation, identification of directly connectedimpervious areas (DCIAs), and preparation of catchment input parameters.The model is calibrated and verified using sampled storm events toestimate event mean concentrations and annual loads. The predictivecapability of the model for quantity is good and for quality moderate.The findings from the model show the percentage of the impervious areain the large catchment to be low at 19.7%. Although DCIAs, inparticular roads and roofs, have relatively smaller areas theysignificantly impact runoff production (up to 75%) and loads (up to 66%total phosphorus and 71% total suspended solids). The first flush at thebeginning of runoff is less important in case of a low intensity ofrainfall, but heavy rain and snowmelt generate substantial runoff andpollution loads. When grab sampling is applied, it should focus on themedium and large events within 6 hours of storm commencement in order toachieve better mass estimations.

【 授权许可】

CC BY-NC