Catchment based estimation of pollutant event mean concentration (EMC) and implications for first flush assessment

JOURNAL OF ENVIRONMENTAL MANAGEMENT

卷:279

Article

Perera, Thamali^1,2,3  McGree, James¹  Egodawatta, Prasanna^1,4  Jinadasa, K. B. S. N.⁵  Goonetilleke, Ashantha^1,4 

[1] Queensland Univ Technol, Sci & Engn Fac, GPO Box 2434, Brisbane, Qld 4001, Australia

[2] Univ Sri Jayewardenepura, Dept Math, Nugegoda 10250, Sri Lanka

[3] Univ Peradeniya, Postgrad Inst Agr, Peradeniya 20400, Sri Lanka

[4] Queensland Univ Technol QUT, Ctr Environm, GPO Box 2434, Brisbane, Qld 4001, Australia

[5] Univ Peradeniya, Dept Civil Engn, Peradeniya 20400, Sri Lanka

关键词: Event mean concentration;    First flush;    Dynamic mean concentration;    Stormwater quality;    Stormwater pollutant processes;   

DOI  :  10.1016/j.jenvman.2020.111737

来源: Elsevier

【 摘 要 】

The Event Mean Concentration (EMC) is considered as a key analytical parameter for assessing the quality of stormwater. The conventional estimation methods to determine EMC do not necessarily address the variability associated with the hydrologic characteristics. Accordingly, this study was conducted to identify the potential hydrologic variables that can influence EMC and thereby to create a mathematical model to determine EMC using the hydrologic variables while incorporating the catchment as an influential factor. This paper introduces an innovative approach to estimate EMC of a runoff event using a stepwise multiple linear regression model. The model incorporates hydrologic variables together with their two-way interaction terms. The catchment was included in the model as a dummy variable. This allows identifying the variability of EMC between catchments. Model can reasonably predict the EMC with an overall prediction error of 0.811. The regression coefficients of the model specify that, maximum rainfall intensity is the most influential variable having a coefficient of 1.008, followed by the average intensity with a coefficient 0.586. The interaction term of rainfall depth and the antecedent dry period indicates that for a relatively small rainfall event (<5 mm), an optimum value of antecedent dry period exists that maximises the EMC. Subsequently, EMC was employed to define the first flush runoff as an alternative approach to the conventional approaches for determining the first flush. The dynamic mean concentration (DMCt), was introduced as a parameter for estimating the first flush using EMC. The maximum accumulated runoff volume such that, DMCt >= EMC was defined as the first flush runoff. It was found that residential catchments generate more intense first flush compared to catchments with totally impervious surface areas and thereby a significant pollutant load is transported within a small initial fraction of the runoffs.f.

【 授权许可】

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