Geographic variability of rainfall erosivity estimation and impact on construction site erosion control design

Shirley Elizabeth Clark, Aigul A. Allison, Ruth A. Sitler

Research output: Contribution to journalArticle

Abstract

The Revised Universal Soil Loss Equation (RUSLE) is used often by erosion control planners to estimate the soil loss from urban construction sites when sizing sediment ponds and determining the soil loss under vegetative mats. This project used the existing, complete-year rainfall record for 27 sites in the state of Pennsylvania to compare the USDA isoerodent maps to the annual rainfall erosivity, R, values calculated using the USEPA equations for the National Resource Conservation Service Type II rainfall. The USDA and USEPA maps showed a general trend of increasing median annual R from west-to-east and north-to-south. A trend analysis relating the median R values calculated during this project to geographic location had similar, large-scale geographic trends as the USDA and USEPA maps. However, the R values more closely followed a combination of the annual rainfall pattern and topography (the Appalachian mountains bisect the state). Two case studies of the impacts of these calculations were developed to show the impact of using different values of R on the design of sediment ponds and predicting vegetation establishment. The results of these scenarios indicate that the source of data to predict R can affect the frequency and cost of sediment pond maintenance and may under-predict the protection level required of a vegetated erosion control mat.

Original languageEnglish (US)
Pages (from-to)474-479
Number of pages6
JournalJournal of Irrigation and Drainage Engineering
Volume135
Issue number4
DOIs
StatePublished - Aug 6 2009

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erosivity
United States Department of Agriculture
United States Environmental Protection Agency
erosion control
Rain
Erosion
Ponds
Soil
USDA
rain
rainfall
Sediments
pond
Soils
sediments
Geographic Locations
Information Storage and Retrieval
sediment
Revised Universal Soil Loss Equation
Appalachian region

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Water Science and Technology
  • Agricultural and Biological Sciences (miscellaneous)

Cite this

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title = "Geographic variability of rainfall erosivity estimation and impact on construction site erosion control design",
abstract = "The Revised Universal Soil Loss Equation (RUSLE) is used often by erosion control planners to estimate the soil loss from urban construction sites when sizing sediment ponds and determining the soil loss under vegetative mats. This project used the existing, complete-year rainfall record for 27 sites in the state of Pennsylvania to compare the USDA isoerodent maps to the annual rainfall erosivity, R, values calculated using the USEPA equations for the National Resource Conservation Service Type II rainfall. The USDA and USEPA maps showed a general trend of increasing median annual R from west-to-east and north-to-south. A trend analysis relating the median R values calculated during this project to geographic location had similar, large-scale geographic trends as the USDA and USEPA maps. However, the R values more closely followed a combination of the annual rainfall pattern and topography (the Appalachian mountains bisect the state). Two case studies of the impacts of these calculations were developed to show the impact of using different values of R on the design of sediment ponds and predicting vegetation establishment. The results of these scenarios indicate that the source of data to predict R can affect the frequency and cost of sediment pond maintenance and may under-predict the protection level required of a vegetated erosion control mat.",
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Geographic variability of rainfall erosivity estimation and impact on construction site erosion control design. / Clark, Shirley Elizabeth; Allison, Aigul A.; Sitler, Ruth A.

In: Journal of Irrigation and Drainage Engineering, Vol. 135, No. 4, 06.08.2009, p. 474-479.

Research output: Contribution to journalArticle

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