title: Uncertainties in stormwater runoff data collection from a small urban catchment, Southeast China.
abstract: 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%.
authors.affiliation: Environmental Science Research Center, Xiamen University, Xiamen 361005, China. jlhuang@xmu.edu.cn
authors.forename: Jinliang
authors.initials: J
authors.lastname: Huang
authors.forename: Zhenshun
authors.initials: Z
authors.lastname: Tu
authors.forename: Pengfei
authors.initials: P
authors.lastname: Du
authors.forename: Jie
authors.initials: J
authors.lastname: Lin
authors.forename: Qingsheng
authors.initials: Q
authors.lastname: Li
mesh_terms: D002681:China; D003625:Data Collection / Q000379:methods*; D004784:Environmental Monitoring; D011891:Rain / Q000737:chemistry*; D035501:Uncertainty; D014872:Water Movements