Storm-water management using street sweeping

Joo Hyon Kang, Stephanie R. Debats, Michael K. Stenstrom

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

Although street sweeping is commonly regarded as a cost-effective storm-water 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 reevaluated 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' pickup 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 analyzed 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.

Original languageEnglish
Pages (from-to)479-489
Number of pages11
JournalJournal of Environmental Engineering (United States)
Volume135
Issue number7
DOIs
StatePublished - 2009

Keywords

  • Best Management Practice
  • Runoff
  • Statistics
  • Stormwater management
  • Streets
  • Urban areas

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