Skip to main content

Advertisement

SpringerLink
Log in

Stormwater Runoff Characterized by GIS Determined Source Areas and Runoff Volumes

  • Published:
Environmental Management Aims and scope Submit manuscript

Abstract

Runoff coefficients are usually considered in isolation for each drainage area with resulting large uncertainties in the areas and coefficients. Accurate areas and coefficients are obtained here by optimizing runoff coefficients for characteristic Geographic Information Systems (GIS) subareas within each drainage area so that the resulting runoff coefficients of each drainage area are consistent with those obtained from runoff and rainfall volumes. Lack of fit can indicate that the ArcGIS information is inaccurate or more likely, that the drainage area needs adjustment. Results for 18 drainage areas in Milwaukee, WI for 2000–2004 indicate runoff coefficients ranging from 0.123 for a mostly residential area to 0.679 for a freeway-related land, with a standard error of 0.047. Optimized runoff coefficients are necessary input parameters for monitoring, and for the analysis and design of in situ stormwater unit operations and processes for the control of both urban runoff quantity and quality.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Adams BJ, Papa F (2000) Urban stormwater management planning with analytical probabilistic models. Wiley, New York, p 376

    Google Scholar 

  • Alley WM (1981) Estimation of impervious-area washoff parameters. Water Resources Research 17(4):1161–1166

    Article  Google Scholar 

  • Boyd MJ, Bufill MC, Knee RM (1993) Pervious and impervious runoff in urban catchments. Hydrological Sciences Journal—Journal Des Sciences Hydrologiques 38:463–478

    Article  Google Scholar 

  • Boyd MJ, Bufill MC, Knee RM (1994) Predicting pervious and impervious storm runoff from urban drainage basins. Hydrological Sciences Journal—Journal Des Sciences Hydrologiques 39:321–332

    Article  Google Scholar 

  • Brezonik PL, Stadelmann TH (2002) Analysis and predictive models of stormwater runoff volumes, loads, and pollutant concentrations from watersheds in the Twin Cities metropolitan area, Minnesota, USA. Water Research 36:1743–1757

    Article  CAS  Google Scholar 

  • Bronstert A, Niehoff D, Burger G (2002) Effects of climate and land-use change on storm runoff generation: present knowledge and modelling capabilities. Hydrological Processes 16:509–529

    Article  Google Scholar 

  • Cristina CM, Sansalone JJ (2003) Kinematic wave model of urban pavement rainfall-runoff subject to traffic loadings. Journal of Environmental Engineering 129:629–636

    Article  CAS  Google Scholar 

  • Dewan AM, Islam MM, Kumamoto T, Nishigaki M (2007) Evaluating flood hazard for land-use planning in Greater Dhaka of Bangladesh using remote sensing and GIS techniques. Water Resources Management 21:1601–1612

    Article  Google Scholar 

  • Eriksson E, Baun A, Scholes L, Ledin A, Ahlman S, Revitt M, Noutsopoulos C, Mikkelsen PS (2007) Selected stormwater priority pollutants—a European perspective. Science of the Total Environment 383:41–51

    Article  CAS  Google Scholar 

  • Hipp JA, Ogunseitan O, Lejano R, Smith CS (2006) Optimization of stormwater filtration at the urban/watershed interface. Environmental Science & Technology 40:4794–4801

    Article  CAS  Google Scholar 

  • Kayhanian M, Suverkropp C, Ruby A, Tsay K (2007) Characterization and prediction of highway runoff constituent event mean concentration. Journal of Environmental Management 85:279–295

    Article  CAS  Google Scholar 

  • Kim LH, Kayhanian M, Zoh KD, Stenstrom MK (2005) Modeling of highway stormwater runoff. Science of the Total Environment 348:1–18

    Article  CAS  Google Scholar 

  • Lee JG, Heaney JP (2003) Estimation of urban imperviousness and its impacts on storm water systems. Journal of Water Resources Planning and Management 129:419–426

    Article  Google Scholar 

  • Lee H, Swamikannu X, Radulescu D, Kim SJ, Stenstrom MK (2007) Design of stormwater monitoring programs. Water Research 41:4186–4196

    Article  CAS  Google Scholar 

  • McCuen RH (1981) Relation between curve number and runoff coefficient. Journal of the Irrigation and Drainage Division 107:395–400

    Google Scholar 

  • McCuen RH (1998) Hydrologic analysis and design, 2nd edn. Pearson Prentice Hall, New Jersey

    Google Scholar 

  • McCuen RH (2004) Hydrologic analysis and design, 3rd edn. Pearson, Prentice Hall, p 888

    Google Scholar 

  • Niehoff D, Fritsch U, Bronstert A (2002) Land-use impacts on storm-runoff generation: scenarios of land-use change and simulation of hydrological response in a meso-scale catchment in SW-Germany. Journal of Hydrology 267:80–93

    Article  Google Scholar 

  • Park MH, Stenstrom MK (2006) Spatial estimates of stormwater-pollutant loading using Bayesian networks and geographic information systems. Water Environment Research 78:421–429

    Article  CAS  Google Scholar 

  • Sartor JD, Boyd GB, Agardy FJ (1974) Water pollution aspects of street surface contaminations. Journal of Water Pollution Control Federation 46(3):458–467

    CAS  Google Scholar 

  • Sen Z, Altunkaynak A (2006) A comparative fuzzy logic approach to runoff coefficient and runoff estimation. Hydrological Processes 20:1993–2009

    Article  Google Scholar 

  • Seth I, Soonthornnonda P, Christensen ER (2006) Use of GIS in urban storm-water modeling. Journal of Environmental Engineering 132:1550–1552

    Article  CAS  Google Scholar 

  • Soonthornnonda P (2007) Stormwater quality characterization, modeling, and management for the greater Milwaukee area, Wisconsin. Ph.D. Dissertation, University of Wisconsin-Milwaukee, Milwaukee

  • Soonthornnonda P, Christensen ER (2008) A load model based on antecedent dry periods for pollutants in stormwater. Water Environment Research 80(2):162–171

    Article  CAS  Google Scholar 

  • Southeastern Wisconsin Regional Planning Commission (SEWRPC) (2000) GIS landuse inventory. Waukesha, WI

  • U.S. Geological Survey (2004) Water-resources-related information for the Milwaukee metropolitan sewerage district planning area, Wisconsin, 1970–2002. Water-Resources Investigation Report 03-4240, USGS, Reston, Virginia

  • United States Geological Survey Digital Elevation Models (USGS DEMs) (2000) U.S. Department of the Interior, U.S. Geological Survey. http://edc.usgs.gov/products/elevation/dem.html

  • Weng QH (2001) Modeling urban growth effects on surface runoff with the integration of remote sensing and GIS. Environmental Management 28:737–748

    Article  CAS  Google Scholar 

  • Wong TSW (2002) Call for awakenings in storm drainage design. Journal of Hydrologic Engineering 7:1–2

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported by the Milwaukee Metropolitan Sewerage District (M03023E01). We thank Urbain Boudjou, Mary Singer, Christopher Magruder, Sara Hackbarth, and Sarah Seifert for helpful discussions.

Author information

Author notes

  1. Yang Liu & Puripus Soonthornnonda

    Present address: Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB, T6G 2W2, Canada

Authors and Affiliations

  1. Department of Civil Engineering and Mechanics, University of Wisconsin-Milwaukee, Milwaukee, WI, 53201, USA

    Yang Liu, Puripus Soonthornnonda, Jin Li & Erik R. Christensen

  2. Department of Civil Engineering, Faculty of Engineering, Srinakharinwirot University, Rangsit-Nakhon Nayok Rd., Klong 16 Ongkharak, Nakhon Nayok, 26120, Thailand

    Puripus Soonthornnonda

Authors
  1. Yang Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Puripus Soonthornnonda
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jin Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Erik R. Christensen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yang Liu.

Appendix A

Appendix A

See Table 5.

Table 5 Rainfall events with runoff coefficients
Full size table

Rights and permissions

Reprints and permissions

About this article

Cite this article

Liu, Y., Soonthornnonda, P., Li, J. et al. Stormwater Runoff Characterized by GIS Determined Source Areas and Runoff Volumes. Environmental Management 47, 201–217 (2011). https://doi.org/10.1007/s00267-010-9591-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00267-010-9591-2

Keywords

Search

Navigation