TY - JOUR
T1 - Evaluation of street sweeping effectiveness as a stormwater management practice using statistical power analysis
AU - Kang, Joo Hyon
AU - Stenstrom, Michael K.
PY - 2008
Y1 - 2008
N2 - Although street sweeping is commonly regarded as a cost-effective stormwater best management practice, there is little quantitative evidence that street sweeping directly improves runoff water quality. In this paper, several previous street sweeping studies were re-evaluated using statistical power analysis. Two-group, independent-sample one-sided t-test power analyses were performed using log-transformed event mean concentrations (EMCs) of total suspended solids, suspended sediment concentration or chemical oxygen demand. The effect size between the two groups was estimated using the sweepers' pick-up efficiency, which showed that the failure to detect the difference between mean EMCs of the two sample groups (i.e., unswept and swept groups) is likely due to limited sample numbers. Too few samples, which also resulted in a high coefficient of variation, were analysed to detect the likely difference between swept and unswept observations. In addition, the temporal gap between street sweeping and subsequent storm events was not controlled to improve statistical power.
AB - Although street sweeping is commonly regarded as a cost-effective stormwater best management practice, there is little quantitative evidence that street sweeping directly improves runoff water quality. In this paper, several previous street sweeping studies were re-evaluated using statistical power analysis. Two-group, independent-sample one-sided t-test power analyses were performed using log-transformed event mean concentrations (EMCs) of total suspended solids, suspended sediment concentration or chemical oxygen demand. The effect size between the two groups was estimated using the sweepers' pick-up efficiency, which showed that the failure to detect the difference between mean EMCs of the two sample groups (i.e., unswept and swept groups) is likely due to limited sample numbers. Too few samples, which also resulted in a high coefficient of variation, were analysed to detect the likely difference between swept and unswept observations. In addition, the temporal gap between street sweeping and subsequent storm events was not controlled to improve statistical power.
KW - Best management practices (BMPs)
KW - Statistical power analysis
KW - Stormwater
KW - Street sweeping
KW - Urban runoff
UR - http://www.scopus.com/inward/record.url?scp=45549100678&partnerID=8YFLogxK
U2 - 10.2166/wst.2008.270
DO - 10.2166/wst.2008.270
M3 - Article
C2 - 18495993
AN - SCOPUS:45549100678
SN - 0273-1223
VL - 57
SP - 1309
EP - 1315
JO - Water Science and Technology
JF - Water Science and Technology
IS - 9
ER -