Abstract
This paper investigates the effect of land use and digital elevation models spatial resolution and scale on the simulation of stream flow in two coastal watersheds located in the Mississippi Gulf Coast (USA). Four elevation datasets were used: USGS DEM, NED, NASA’s SRTM and IFSAR (300, 30, 30, and 5 meter resolution, respectively). Three land use datasets were included in this study: USGS GIRAS, NLCD, and NASA MODIS MOD12Q1 (400, 30, and 1000 m resolution, correspondingly). The Hydrological Program Fortran (HSPF) was used for estimating stream flow in the two watersheds. Results showed that swapping datasets in a factorial design experiment produce equivalent statistical fit of measured and simulated stream flow data. The results also showed that HSPF-estimated stream flows are not sensitive to scale and spatial resolution of the datasets included in the study.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Manfreda, S., Rodriguez-Iturbe, I.: On the Spatial and Temporal Sampling of Soil Moisture Fields. Water Resources Research 42(5), W05409.1–W05409.10 (2006)
Bicknell, B.R., Imhoff, J.C., Kittle, J.L., Jobes, T.H., Donigian, A.S.: HSPF Version 12 User’s Manual. National Exposure Research Laboratory. Office of Research and Development U.S. Environmental Protection Agency (2001)
Environmental Protection Agency: BASINS: Better Assessment Science Integrating Point & Nonpoint Sources: A Powerful Tool for Managing Watersheds, http://www.epa.gov/waterscience/BASINS/
Viger, R.J.: GEOLEM: Improving the Integration of Geographic Information in Environmental Modeling Through Semantic Interoperability. Master’s Thesis, University of Toronto, Canada (2004)
Alarcon, V.J., McAnally, W., Diaz-Ramirez, J., Martin, J., Cartwright, J.: A Hydrological Model of the Mobile River Watershed, Southeastern USA. In: Maroulis, G., Simos, T.E. (eds.) Computational Methods in Science and Engineering: Advances in Computational Science, vol. 1148, pp. 641–645. American Institute of Physics (2009)
Alarcon, V.J., McAnally, W., Wasson, L., Martin, J., Cartwright, J.: Using NEXRAD Precipitation Data for Enriching Hydrological and Hydrodynamic Models in the Northern Gulf of Mexico. In: Maroulis, G., Simos, T.E. (eds.) Computational Methods in Science and Engineering: Advances in Computational Science, vol. 1148, pp. 646–650. American Institute of Physics (2009)
Environmental Protection Agency: USGS 30 Meter Resolution, One-Sixtieth Degree National Elevation Dataset for CONUS, Alaska, Hawaii, Puerto Rico, and the U. S. Virgin Islands, http://www.epa.gov/waterscience/basins/metadata/ned.htm
USGS: Earth Resources Observation and Science, http://edc.usgs.gov/products/elevation.html
Intermap Technologies Inc.: IFSAR product handbook, http://www.intermap.com/images/handbook/producthandbook.pdf
Alarcon, V.J., O’Hara, C.G., McAnally, W., Martin, J., Diaz, J., Duan, Z.: Influence of elevation dataset on watershed delineation of three catchments in Mississippi, http://www.gri.msstate.edu/research/nasa_rpc/papers/AWRA_elevation_2006.pdf
NASA: MODIS MOD12 Land Cover and Land Cover Dynamics Products User Guide, http://www-modis.bu.edu/landcover/userguidelc/lc.html
Nash, J.E., Sutcliffe, J.V.: River flow forecasting through conceptual models, part I: a discussion of principles. Journal of Hydrology 10, 282–290 (1970)
Engelmann, C.J.K., Ward, A.D., Christy, A.D., Bair, E.S.: Application of the BASINS database and NPSM model on a small Ohio watershed. Journal of the American Water Resources Association 38(1), 289–300 (2002)
Legates, D.R., McCabe, G.J.: Evaluating the use of “goodness-of-fit” measures in hydrologic and hydroclimatic model validation. Water Resources Research 35(1), 233–241 (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Alarcon, V.J., O’Hara, C.G. (2010). Scale-Dependency and Sensitivity of Hydrological Estimations to Land Use and Topography for a Coastal Watershed in Mississippi. In: Taniar, D., Gervasi, O., Murgante, B., Pardede, E., Apduhan, B.O. (eds) Computational Science and Its Applications – ICCSA 2010. ICCSA 2010. Lecture Notes in Computer Science, vol 6016. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12156-2_37
Download citation
DOI: https://doi.org/10.1007/978-3-642-12156-2_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12155-5
Online ISBN: 978-3-642-12156-2
eBook Packages: Computer ScienceComputer Science (R0)