Uncertainties in stormwater runoff data collection from a small urban catchment, Southeast China  被引量:2

Uncertainties in stormwater runoff data collection from a small urban catchment, Southeast China

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作  者:Jinliang Huan Zhenshun Tu Pengfei Du Jie Lin Qingsheng Li 

机构地区:[1]Environmental Science Research Center, Xiamen University, Xiamen 361005, China. [2]Department of Environmental Science and Engineering, Tsinghua University, Beijing 100084, China [3]Fujian Institute of Oceanography, Xiamen 361012, China

出  处:《Journal of Environmental Sciences》2010年第11期1703-1709,共7页环境科学学报(英文版)

基  金:supported by the National Natural Science Foundation of China(No.50778098);the Youth Project of Fujian Provincial Department of Science&Technology(No.2007F3093)

摘  要: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%.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%.

关 键 词:urban stormwater runoff in-situ monitoring data UNCERTAINTY data collection 

分 类 号:X832[环境科学与工程—环境工程] TU991.12[建筑科学—市政工程]

 

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