Uncertainties in stormwater runoff data collection from a small urbancatchment, Southeast China
Jinliang Huang , Zhenshun Tu , Pengfei Du , Jie Lin , Qingsheng Li
DOI:
Received December 06, 2009,Revised March 26, 2010, Accepted , Available online
Volume 22,2010,Pages 1703-1709
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Monitoring data are often used to identify stormwater runoff characteristics and in stormwater runoff modelling without consideration
of their inherent uncertainties. Integrated with discrete sample analysis and error propagation analysis, this study attempted to quantify
the uncertainties of discrete chemical oxygen demand (COD), total suspended solids (TSS) concentration, stormwater flowrate,
stormwater event volumes, COD event mean concentration (EMC), and COD event loads in terms of flow measurement, sample
collection, storage and laboratory analysis. The results showed that the uncertainties due to sample collection, storage and laboratory
analysis of COD from stormwater runoff are 13.99%, 19.48% and 12.28%. Meanwhile, flow measurement uncertainty was 12.82%,
and the sample collection uncertainty of TSS from stormwater runoff was 31.63%. Based on the law of propagation of uncertainties,
the uncertainties regarding event flow volume, COD EMC and COD event loads were quantified as 7.03%, 10.26% and 18.47%.
