Comparison of Measured and Simulated Urban Soil Hydrologic Properties
Publication: Journal of Hydrologic Engineering
Volume 24, Issue 1
Abstract
Urban communities use hydrologic models to plan for and assess the effectiveness of stormwater control measures. Although emphasis is placed on soils as permeable surfaces that regulate the rainfall-runoff process, representative soil hydrologic parameters for urban areas are rare. The extent to which measured and commonly simulated hydrologic data may differ is also largely uncharacterized. As part of the US EPA urban soil assessment, infiltration and drainage rates were measured in 12 cities, and the authors compared these measured data to estimates generated from the EPA National Stormwater Calculator (NSWC), United States Department of Agriculture (USDA) Soil Survey Geographic Database (SSURGO), and USDA Rosetta. The analysis highlights the overall lack of soil hydrologic data for many cities in the NSWC and SSURGO and show that common prediction algorithms for infiltration and drainage poorly represent urban soil hydraulics. Paired comparison of field-measured values and model-estimated values resulted in root-mean-square errors ranging from 23 to . These findings are presented in the context of planning for effective stormwater and wastewater management practices, and the need for confirming simulation results with site-specific field data.
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Acknowledgments
Mention of trade names, products, or services does not convey, and should not be interpreted as conveying, official EPA approval, endorsement, or recommendation. This research was performed while LAS held an NRC research associateship appointment at the National Risk Management Research Laboratory within the Office of Research and Development of the US Environmental Protection Agency. We thank Barbara Butler and Robert Ford as well as two anonymous reviewers for taking the time to review this manuscript.
References
Alvarez-Acosta, C., R. J. Lascano, and L. Stroosnijder. 2012. “Test of the Rosetta pedotransfer function for saturated hydraulic conductivity.” Open J. Soil Sci. 2 (3): 203–212. https://doi.org/10.4236/ojss.2012.23025.
Alyamani, M. S., and Z. Şen. 1993. “Determination of hydraulic conductivity from complete grain-size distribution curves.” Ground Water 31 (4): 551–555. https://doi.org/10.1111/j.1745-6584.1993.tb00587.x.
Amoozegar, A. 1989. “A compact constant-head permeameter for measuring saturated hydraulic conductivity of the vadose zone.” Soil Sci. Soc. Am. J. 53 (5): 1356–1361. https://doi.org/10.2136/sssaj1989.03615995005300050009x.
Anderson, R. M., V. I. Koren, and S. M. Reed. 2006. “Using SSURGO data to improve Sacramento Model a priori parameter estimates.” J. Hydrol. 320 (1–2): 103–116. https://doi.org/10.1016/j.jhydrol.2005.07.020.
Barbu, I. A., and T. P. Ballestero. 2014. “Unsaturated flow functions for filter media used in low-impact development—Stormwater management systems.” J. Irrig. Drain. Eng. 141 (1): 04014041. https://doi.org/10.1061/(ASCE)IR.1943-4774.0000766.
Cronican, A. E., and M. M. Gribb. 2004. “Hydraulic conductivity prediction for sandy soils.” Ground Water 42 (3): 459–464. https://doi.org/10.1111/j.1745-6584.2004.tb02694.x.
Di Luzio, M., J. G. Arnold, and R. Srinivasan. 2004. “Integration of SSURGO maps and soil parameters within a geographic information system and nonpoint source pollution model system.” J. Soil Water Conserv. Soc. 59 (4): 123–133.
Dohnal, M., J. Dusek, and T. Vogel. 2010. “Improving hydraulic conductivity estimates from minidisk infiltrometer measurements for soils with wide pore-size distributions.” Soil Sci. Soc. Am. J. 74 (3): 804–811. https://doi.org/10.2136/sssaj2009.0099.
Fletcher, T. D., G. Vietz, and C. J. Walsh. 2014. “Protection of stream ecosystems from urban stormwater runoff the multiple benefits of an ecohydrological approach.” Prog. Phys. Geogr. 38 (5): 543–555. https://doi.org/10.1177/0309133314537671.
Gee, G. W., J. W. Bauder, and A. Klute. 1986. “Particle-size analysis.” In Methods of soil analysis. 1. Physical and mineralogical methods, 383–411. Madison, WI: American Society of Agronomy.
Grimaldi, S., A. Petroselli, and N. Romano. 2013. “Curve-number/Green-Ampt mixed procedure for streamflow predictions in ungauged basins: Parameter sensitivity analysis.” Hydrol. Process. 27 (8): 1265–1275. https://doi.org/10.1002/hyp.9749.
Handreck, K. 1983. “Particle size and the physical properties of growing media for containers.” Commun. Soil Sci. Plant Anal. 14 (3): 209–222. https://doi.org/10.1080/00103628309367357.
Herrmann, D. L., L. A. Schifman, and W. D. Shuster. 2018. “Widespread loss of of intermediate soil horizons in urban landscapes.” Proc. Nat. Acad. Sci. 115 (26): 6751–6755. https://doi.org/10.1080/00103628309367357.
Herrmann, D. L., W. D. Shuster, and A. S. Garmestani. 2017. “Vacant urban lot soils and their potential to support ecosystem services.” Plant Soil 413 (1–2): 45–57. https://doi.org/10.1007/s11104-016-2874-5.
Josse, J., and F. Husson. 2016. “missMDA: A package for handling missing values in multivariate data analysis.” J. Stat. Software 70 (1): 1–31. https://doi.org/10.18637/jss.v070.i01.
Kassambara, A. 2015. “factoextra: Visualization of the outputs of a multivariate analysis.” R Package Version 1 (1): 1–75.
Lê, S., J. Josse, and F. Husson. 2008. “FactoMineR: An R package for multivariate analysis.” J. Stat. Software 25 (1): 1–18.
Mednick, A. C. 2010. “Does soil data resolution matter? State soil geographic database versus Soil Survey Geographic Database in rainfall-runoff modeling across Wisconsin.” J. Soil Water Conserv. 65 (3): 190–199. https://doi.org/10.2489/jswc.65.3.190.
Mualem, Y. 1976. “A new model for predicting the hydraulic conductivity of unsaturated porous media.” Water Resour. Res. 12 (3): 513–522. https://doi.org/10.1029/WR012i003p00513.
Nemes, A., and W. Rawls. 2004. “Soil texture and particle-size distribution as input to estimate soil hydraulic properties.” Dev. Soil Sci. 30: 47–70. https://doi.org/10.1016/S0166-2481(04)30004-8.
Nemes, A., M. G. Schaap, and J. H. M. Wösten. 2003. “Functional evaluation of pedotransfer functions derived from different scales of data collection.” Soil Sci. Soc. Am. J. 67 (4): 1093–1102. https://doi.org/10.2136/sssaj2003.1093.
Nemes, A., D. Timlin, Y. A. Pachepsky, and W. Rawls. 2009. “Evaluation of the pedotransfer functions for their applicability at the US national scale.” Soil Sci. Soc. Am. J. 73 (5): 1638–1645. https://doi.org/10.2136/sssaj2008.0298.
NRCS (Natural Resources Conservation Service). 2009. “Web soil survey.” Accessed October 29, 2009. http://www.websoilsurvey.ncsc.usda.gov/app/.
Peschel, J. M., P. K. Haan, and R. E. Lacey. 2003. “A SSURGO pre-processing extension for the arcview soil and water assessment tool.” In Proc., 2003 ASAE Annual Meeting, Paper 032123. St. Joseph, MI: American Society of Agricultural and Biological Engineers.
Petroselli, A., and S. Grimaldi. 2015. “Design hydrograph estimation in small and fully ungauged basins: A preliminary assessment of the EBA4SUB framework.” Supplement, J. Flood Risk Manage. 11 (S1): S197–S210. https://doi.org/10.1111/jfr3.12193.
Petroselli, A., S. Grimaldi, and N. Romano. 2013. “Curve-number/Green-Ampt mixed procedure for net rainfall estimation: A case study of the Mignone watershed, IT.” Proc. Environ. Sci. 19: 113–121. https://doi.org/10.1016/j.proenv.2013.06.013.
Pouyat, R., P. Groffman, I. Yesilonis, and L. Hernandez. 2002. “Soil carbon pools and fluxes in urban ecosystems.” Supplement, Environ. Pollut. 116 (S1): S107–S118. https://doi.org/10.1016/S0269-7491(01)00263-9.
Puckett, W., J. Dane, and B. Hajek. 1985. “Physical and mineralogical data to determine soil hydraulic properties.” Soil Sci. Soc. Am. J. 49 (4): 831–836. https://doi.org/10.2136/sssaj1985.03615995004900040008x.
Raciti, S. M., L. R. Hutyra, and A. C. Finzi. 2012. “Depleted soil carbon and nitrogen pools beneath impervious surfaces.” Environ. Pollut. 164 (May): 248–251. https://doi.org/10.1016/j.envpol.2012.01.046.
Rawls, W., D. Brakensiek, and K. Saxtonn. 1982. “Estimation of soil water properties.” Transact. ASAE 25 (5): 1316–1320. https://doi.org/10.13031/2013.33720.
Rossman, L. A. 2013. National stormwater calculator user’s guide. Cincinnati: US Environmental Protection Agency.
Rubio, C. M. 2008. “Applicability of site-specific pedotransfer functions and Rosetta model for the estimation of dynamic soil hydraulic properties under different vegetation covers.” J. Soils Sediments 8 (2): 137–145. https://doi.org/10.1065/jss2008.03.281.
Schaap, M. G., and F. J. Leij. 1998. “Database-related accuracy and uncertainty of pedotransfer functions.” Soil Sci. 163 (10): 765–779. https://doi.org/10.1097/00010694-199810000-00001.
Schaap, M. G., F. J. Leij, and M. T. van Genuchten. 2001. “Rosetta: A computer program for estimating soil hydraulic parameters with hierarchical pedotransfer functions.” J. Hydrol. 251 (3): 163–176. https://doi.org/10.1016/S0022-1694(01)00466-8.
Schifman, L. A., M. E. Tryby, J. Berner, and W. D. Shuster. 2018. “Managing uncertainty in runoff estimation with the U.S. Environmental Protection Agency national stormwater calculator.” J. Am. Water Resour. Assoc. 54 (1): 148–159. https://doi.org/10.1111/1752-1688.12599.
Schoeneberger, P., D. Wysocki, and E. Benham. 2012. Field book for describing and sampling soils. Lincoln, NE: National Soil Survey Center.
Shuster, W. D., S. Dadio, P. Drohan, R. Losco, and J. Shaffer. 2014. “Residential demolition and its impact on vacant lot hydrology: Implications for the management of stormwater and sewer system overflows.” Landscape Urban Plann. 125 (May): 48–56. https://doi.org/10.1016/j.landurbplan.2014.02.003.
Shuster, W. D., S. D. Dadio, C. E. Burkman, S. R. Earl, and S. J. Hall. 2015. “Hydropedological assessments of parcel-level infiltration in an arid urban ecosystem.” Soil Sci. Soc. Am. J. 79 (2): 398–406. https://doi.org/10.2136/sssaj2014.05.0200.
Shuster, W. D., R. A. Darner, W. D. Schifman, and D. L. Herrmann. 2017. “Factors contributing to the hydrologic effectiveness of a rain garden network (Cincinnati OH USA).” Infrastructures 2 (3): 11. https://doi.org/10.3390/infrastructures2030011.
Skaggs, T., L. Arya, P. Shouse, and B. Mohanty. 2001. “Estimating particle-size distribution from limited soil texture data.” Soil Sci. Soc. Am. J. 65 (4): 1038–1044. https://doi.org/10.2136/sssaj2001.6541038x.
Thien, S. J. 1979. “A flow diagram for teaching texture-by-feel analysis.” J. Agron. Educ. 8 (2): 54–55.
Tietje, O., and V. Hennings. 1996. “Accuracy of the saturated hydraulic conductivity prediction by pedo-transfer functions compared to the variability within FAO textural classes.” Geoderma 69 (1–2): 71–84. https://doi.org/10.1016/0016-7061(95)00050-X.
van Genuchten, M. T. 1980. “A closed-form equation for predicting the hydraulic conductivity of unsaturated soils.” Soil Sci. Soc. Am. J. 44 (5): 892–898. https://doi.org/10.2136/sssaj1980.03615995004400050002x.
Vienken, T., and P. Dietrich. 2011. “Field evaluation of methods for determining hydraulic conductivity from grain size data.” J. Hydrol. 400 (1): 58–71. https://doi.org/10.1016/j.jhydrol.2011.01.022.
Wagner, B., V. R. Tarnawski, V. Hennings, U. Müller, G. Wessolek, and R. Plagge. 2001. “Evaluation of pedo-transfer functions for unsaturated soil hydraulic conductivity using an independent data set.” Geoderma 102 (3): 275–297. https://doi.org/10.1016/S0016-7061(01)00037-4.
Woolhiser, D., R. Smith, and J. V. Giraldez. 1996. “Effects of spatial variability of saturated hydraulic conductivity on Hortonian overland flow.” Water Resour. Res. 32 (3): 671–678. https://doi.org/10.1029/95WR03108.
Zhang, R. 1997. “Determination of soil sorptivity and hydraulic conductivity from the disk infiltrometer.” Soil Sci. Soc. Am. J. 61 (4): 1024–1030. https://doi.org/10.2136/sssaj1997.03615995006100040005x.
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©2018 American Society of Civil Engineers.
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Received: Oct 12, 2017
Accepted: Mar 13, 2018
Published online: Oct 27, 2018
Published in print: Jan 1, 2019
Discussion open until: Mar 27, 2019
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