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<article language="en">
	<journal>
		<journal_title>Hydrology and Earth System Sciences</journal_title>
		<journal_url>www.hydrol-earth-syst-sci.net</journal_url>
		<issn>1027-5606</issn>
		<eissn>1607-7938</eissn>
		<volume_number>13</volume_number>
		<issue_number>8</issue_number>
		<publication_year>2009</publication_year>
	</journal>
	<doi>10.5194/hess-13-1503-2009</doi>
	<article_url>http://www.hydrol-earth-syst-sci.net/13/1503/2009/</article_url>
	<abstract_html>http://www.hydrol-earth-syst-sci.net/13/1503/2009/hess-13-1503-2009.html</abstract_html>
	<fulltext_pdf>http://www.hydrol-earth-syst-sci.net/13/1503/2009/hess-13-1503-2009.pdf</fulltext_pdf>
	<start_page>1503</start_page>
	<end_page>1518</end_page>
	<publication_date>2009-08-20</publication_date>
	<article_title content_type="html">Simulation and validation of concentrated subsurface lateral flow paths in an agricultural landscape</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>Q. Zhu</name>
		</author>
		<author numeration="2" affiliations="1">
			<name>H. S. Lin</name>
			<email>henrylin@psu.edu</email>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">The Pennsylvania State University, Department of Crop and Soil Sciences, 116 Agricultural Sciences and Industry Building, University Park, PA 16802, USA</affiliation>
	</affiliations>
	<abstract content_type="html">The importance of soil water flow paths to the transport of nutrients and
contaminants has long been recognized. However, effective means of detecting
concentrated subsurface flow paths in a large landscape are still lacking.
The flow direction and accumulation algorithm based on single-direction flow
algorithm (D8) in GIS hydrologic modeling is a cost-effective way to
simulate potential concentrated flow paths over a large area once relevant
data are collected. This study tested the D8 algorithm for simulating
concentrated lateral flow paths at three interfaces in soil profiles in a
19.5-ha agricultural landscape in central Pennsylvania, USA. These
interfaces were (1) the interface between surface plowed layers of Ap1 and
Ap2 horizons, (2) the interface with subsoil water-restricting clay layer
where clay content increased to over 40%, and (3) the soil-bedrock
interface. The simulated flow paths were validated through soil hydrologic
monitoring, geophysical surveys, and observable soil morphological features.
The results confirmed that concentrated subsurface lateral flow occurred at
the interfaces with the clay layer and the underlying bedrock. At these two
interfaces, the soils on the simulated flow paths were closer to saturation
and showed more temporally unstable moisture dynamics than those off the
simulated flow paths. Apparent electrical conductivity in the soil on the
simulated flow paths was elevated and temporally unstable as compared to
those outside the simulated paths. The soil cores collected from the
simulated flow paths showed significantly higher Mn content at these
interfaces than those away from the simulated paths. These results suggest
that (1) the D8 algorithm is useful in simulating possible concentrated
subsurface lateral flow paths if used with appropriate threshold value of
contributing area and sufficiently detailed digital elevation model (DEM);
(2) repeated electromagnetic surveys can reflect the temporal change of soil
water storage and thus is a useful indicator of possible subsurface flow
path over a large area; and (3) observable Mn distribution in soil profiles
can be used as a simple indicator of water flow paths in soils and over the
landscape; however, it does require sufficient soil sampling (by excavation
or augering) to possibly infer landscape-scale subsurface flow paths. In
areas where subsurface interface topography varies similarly with surface
topography, surface DEM can be used to simulate potential subsurface lateral
flow path reasonably so the cost associated with obtaining depth to
subsurface water-restricting layer can be minimized.</abstract>
	<references>
		<reference numeration="1" content_type="text"> Auerswald, K., Simon, S., and Stanjek, H.: Influence of soil properties on electrical conductivity under humid water regimes, Soil. Sci., 166, 382–390, 2001. </reference>
		<reference numeration="2" content_type="text"> Bakhsh, A. and Kanwar, R. S.: Soil and landscape attributes interpret subsurface drainage clusters, Aust. J. Soil. Res., 46, 735–744, 2008. </reference>
		<reference numeration="3" content_type="text"> Birkhead, A. L., Heritage, G. L., White, H., and van Niekerk, A. W.: Ground-penetrating radar as a tool for mapping the phreatic surface, bedrock profile, and alluvial stratigraphy in the Sabie River, Kruger National Park, J. Soil Water Cons., 51, 234–241, 1996. </reference>
		<reference numeration="4" content_type="text"> Bogaart, P. W. and Troch, P. A.: Curvature distribution within hillslopes and catchments and its effect on the hydrological response, Hydrol. Earth Syst. Sci., 10, 925–936, 2006. </reference>
		<reference numeration="5" content_type="text"> Burns, D. A., Hooper, R. P., McDonnell, J. J., Freer, J. E., Kendall, C., and Beven, K.: Base cation concentrations in subsurface flow from a forested hillslope: The role of flushing frequency, Water Resour. Res., 34, 3535–3544, 1998. </reference>
		<reference numeration="6" content_type="text"> Buttle, J. M. and McDonald, D. J.: Coupled vertical and lateral preferential flow on a forested slope, Water Resour. Res., 38, 1060, doi:10.1029/2001WR000773, 2002. </reference>
		<reference numeration="7" content_type="text"> Cassel, D. K., Afyuni, M. M., and Robarge, W. P.: Manganese distribution and patterns of soil wetting and depletion in a piedmont hillslope, Soil Sci. Soc. Am. J., 66, 939–947, 2002. </reference>
		<reference numeration="8" content_type="text"> Chen, S. K., Liu, C. W., and Huang, H. C.: Analysis of water movement in paddy rice fields (II) simulation studies, J. Hydrol., 268, 259–271, 2002. </reference>
		<reference numeration="9" content_type="text"> Corwin, D. L. and Lesch, S. M.: Apparent soil electrical conductivity measurements in agriculture, Comput. Electron. Agr., 46, 11–43, 2005. </reference>
		<reference numeration="10" content_type="text"> De Lannoy, G. J. M., Verhoest, N. E. C., Houser, P. R., Gish, T. J., and van Meirvenne, M.: Spatial and temporal characteristics of soil moisture in an intensively monitored agricultural field (OPE3), J. Hydrol., 331, 719–730, 2006. </reference>
		<reference numeration="11" content_type="text"> Elliot, J. A., Cessna, A. J., Best, K. B., Nicholaichuk, W., and Tollefson, L. C.: Leaching and preferential flow of clopyralid under irrigation: field observations and simulation modeling, J. Environ. Qual., 27, 124–131, 1998. </reference>
		<reference numeration="12" content_type="text"> Erskine, R. H., Green, T. R., Ramirez, J. A., and MacDonald, L. H.: Comparison of gridbased algorithms for computing upslope contributing area, Water Resour. Res., 42, W09416, doi:10.1029/2005WR004648, 2006. </reference>
		<reference numeration="13" content_type="text"> Fairfield, J. and Leymarie, P.: Drainage networks from grid digital elevation models, Water Resour. Res., 27, 709–717, 1991. </reference>
		<reference numeration="14" content_type="text"> Fiori, A., Romanelli, M., Cavalli, D. J., and Russo, D.: Numerical experiments of streamflow generation in steep catchments, J. Hydrol., 339, 183–192, 2007. </reference>
		<reference numeration="15" content_type="text"> Freer, J., McDonnell, J. J, Beven, K. J., Brammer, D., Burns, D. A, Hooper, R. P., and Kendall, C.: Topographic controls on subsurface storm flow at the hillslope-scale for two hydrologically distinct small catchments, Hydrol. Processes., 11, 1347–1352, 1997. </reference>
		<reference numeration="16" content_type="text"> Freer, J., McDonnell, J. J, Beven, K. J., Peters, N. E., Burns, D. A, Hooper, R. P., Aulenbach, B., and Kendall, C.: The role of bedrock topography on subsurface storm flow, Water Resour. Res., 38, 1269, doi:10.1029/2001WR000872, 2002. </reference>
		<reference numeration="17" content_type="text"> Gish, T. J., Dulaney, W. P., Kung, K.-J. S., Daughtry, C. S. T., Doolittle, J. A., and Miller, P. T.: Evaluating use of ground-penetrating radar for identifying subsurface flow pathways, Soil Sci. Soc. Am. J., 66, 1620–1629, 2002. </reference>
		<reference numeration="18" content_type="text"> Gish, T. J., Walthall, C. L., Daughtry, C. S. T., and Kung, K.-J. S.: Using soil moisture and spatial yield patterns to identify subsurface flow pathways, J. Environ. Qual., 34, 274–286, 2005. </reference>
		<reference numeration="19" content_type="text"> Guo, J. H., Liang, X., and Leung, L. R.: A new multiscale flow network generation scheme for land surface models, Geophys. Res. Lett., 32, L23502, doi:10.1029/2004GL021381, 2004. </reference>
		<reference numeration="20" content_type="text"> Haga, H., Matsumoto, Y., Matsutani, J., Fujita, M., Nishida, K., and Sakamoto, Y.: Flow paths, rainfall properties, and antecedent soil moisture controlling lags to peak discharge in a granitic unchanneled catchment, Water Resour. Res., 41, W12410, doi:10.1029/2005WR004236, 2005. </reference>
		<reference numeration="21" content_type="text"> Haria, A. H., Johnson, A. C., Bell, J. P., and Batchelor, C. H.: Water-movement and isoproturon behaviour in a drained heavy clay soil. 1. Preferential flow processes, J. Hydrol., 163, 201–216, 1994. </reference>
		<reference numeration="22" content_type="text"> Heppell, C. M., Burt, T. P., and Williams, R. J.: Variations in the hydrology of an underdrained clay hillslope, J. Hydrol., 227, 236–256, 2000. </reference>
		<reference numeration="23" content_type="text"> Jones, R.: Algorithms for using a DEM for mapping catchment areas of stream sediment samples, Comput. Geosci., 28, 1051–1060, 2002. </reference>
		<reference numeration="24" content_type="text"> Ju, S. H. and Kung, K.-J. S.: Finite element simulation of funnel flow and overall flow property induced by multiple soil layers, J. Environ. Qual., 22, 432–442, 1993. </reference>
		<reference numeration="25" content_type="text"> Kenny, F., Matthews, B., and Todd, K.: Routing overland flow through sinks and flats in the interpolated raster terrain surfaces, Comput. Geosci., 34, 1417–1430, 2008. </reference>
		<reference numeration="26" content_type="text"> Kettler, T. A., Doran, J. W., and Gilbert, T. L.: Simplified method for soil particle-size determination to accompany soil-quality analyses, Soil Sci. Soc. Am. J., 65, 849–852, 2001. </reference>
		<reference numeration="27" content_type="text"> Kirkby, M. J.: Thresholds and instability in stream head hollows: a model of magnitude and frequency for wash processes, in: Process Models and Theoretical Geomorphology, edited by: Kirkby, M. J., Wiley, Chichester, UK, 295–314, 1994. </reference>
		<reference numeration="28" content_type="text"> Kitahara, H., Terajima, T., and Nakai, Y.: Ratio of pipe flow to throughflow discharge, J. Jpn. Forest. Soc., 76, 10–17, 1994. </reference>
		<reference numeration="29" content_type="text"> Krovchenko, A. N.: Influence of spatial structure on accuracy of interpolation methods, Soil Sci. Soc. Am. J., 67, 1564–1571, 2003. </reference>
		<reference numeration="30" content_type="text"> Kravchenko, A. N. and Robertson, G. P.: Can topographical and yield data substantially improve total soil carbon mapping by regression kriging? Agron. J., 99, 12–17, 2007. </reference>
		<reference numeration="31" content_type="text"> Kung, K.-J. S.: Preferential flow in a sandy vadose zone: 1. Field observation, Geoderma, 46, 30 51–71, 1990. </reference>
		<reference numeration="32" content_type="text"> Kung, K.-J. S.: Laboratory observation of the funnel flow mechanism and its influence on solute transport, J. Environ. Qual., 22, 91–102, 1993. </reference>
		<reference numeration="33" content_type="text"> Lin, H. S., Bouma, J., Wilding, L. P., Richardson, J.L., Kutilek, M., and Nielsen, D. R.: Advances in hydropedology, Adv. Agron., 85, 1–89, 2005. </reference>
		<reference numeration="34" content_type="text"> Lin, H. S., Kogelmann, W., Walker, C., and Bruns, M. A.: Soil moisture patterns in a forested catchment: A hydropedological perspective, Geoderma, 131, 345–368, 2006. </reference>
		<reference numeration="35" content_type="text"> Lin, H. S., Brook, E., McDaniel, P., and Boll, J.:Hydropedology and Surface/Subsurface Runoff Processes, in: Encyclopedia of Hydrologic Sciences.edited by: Anderson, M. G., John Wiley &amp; Sons, Ltd., doi:10.1002/0470848944.hsa306, 1–25, 2008. </reference>
		<reference numeration="36" content_type="text"> Maidment, D.: Arc Hydro: GIS for Water Resources, ESRI, Redlands, CA, USA, 55–86, 2002. </reference>
		<reference numeration="37" content_type="text"> Marks, D., Dozier, J., and Frew, J.: Automated basin delineation from digital elevation data, GeoProcessing, $2$, 299–311, 1984. </reference>
		<reference numeration="38" content_type="text"> McDaniel, P. A. and Buol, S. W.: Manganese distributions in acid soils of the North Carolina Piedmont, Soil Sci. Soc. Am. J., 55, 152–158, 1991. </reference>
		<reference numeration="39" content_type="text"> McDaniel, P. A., Regan, M. P., Brooks, E., Boll, J., Bamdt, S., Falen, A., Young, S. K., and Hammel, J. E.: Linking fragipans, perched water tables, and catchment-scale hydrological processes, Catena, 73, 166–173, 2008. </reference>
		<reference numeration="40" content_type="text"> Noguchi, S., Tsuboyama, Y., Sidle, R. C., and Hosoda, I.: Morphological characteristics of macropores and the distribution of preferential flow paths in a forested slope segment, Soil Sci. Soc. Am. J., 63, 1413–1423, 1999. </reference>
		<reference numeration="41" content_type="text"> O&apos;Callaghan, J. F. and Mark, D. M.: The extraction of drainage networks from digital elevation data, CVGIP, 28, 323–344. 1984. </reference>
		<reference numeration="42" content_type="text"> Orlandini, S., Moretti, G., Franchini, M., Aldighieri, B., and Testa, B.: Path-based methods for the determination of nondispersive drainage directions in grid-based digital elevation models, Water Resour. Res., 39, 1144, doi:10.1029/2002WR001639, 2003. </reference>
		<reference numeration="43" content_type="text"> Paik, K.: Global search algorithm for nondispersive flow path extraction, J. Geophys. Res., 113, F04001, doi:10.1029/2007JF000964, 2008. </reference>
		<reference numeration="44" content_type="text"> Palkovics, W. E. and Petersen, G. W.: Contribution of lateral soil-water movement above a fragipan to streamflow, Soil Sci. Soc. Am. J., 41, 394–400, 1977. </reference>
		<reference numeration="45" content_type="text"> Patrick, W. H. and Henderson, R. E.: Reduction and reoxidation cycles of Manganese and Iron in flooded soil and in water solution, Soil Sci. Soc. Am. J., 45, 855–859, 1981. </reference>
		<reference numeration="46" content_type="text"> Perillo, C. A., Gupta, S. C., and Moncrief, J. F.: Prevalence and initiation of preferential flow paths in a sandy loam with argillic horizon, Geoderma, 89, 307–331, 1999. </reference>
		<reference numeration="47" content_type="text"> Quinn, P. F., Beven, K. J., Chevallier, P., and Planchon, O.: The prediction of hillslope flowpaths for distributed modelling using digital terrain models, Hydrol. Proc., 5, 59–80, 1991. </reference>
		<reference numeration="48" content_type="text"> Reedy, R. C. and Scanlon, B. R.: Soil water content monitoring using electromagnetic induction, J. Geotech. Geoenviron. Eng., 129, 1028–1039, 2003. </reference>
		<reference numeration="49" content_type="text"> Rhoades, J. D., Raats, P. A. C., and Prather, R. S.: Effects of liquid-phase electrical conductivity water content and surface conductivity on bulk soil electrical conductivity, Soil Sci. Soc. Am. J., 40, 651–665, 1976. </reference>
		<reference numeration="50" content_type="text"> Sander, T. and Gerke, H. H.: Preferential flow patterns in paddy fields using a dye tracer, Vadose Zone. J., 6, 105–115, 2007. </reference>
		<reference numeration="51" content_type="text"> Seibert, J. and McGlynn, B. L.: A new triangular multiple flow direction algorithm for computing upslope areas from gridded digital elevation models, Water Resour. Res., 43, W04501, doi:10.1029/2006WR005128, 2007. </reference>
		<reference numeration="52" content_type="text"> Schäuble, H., Marinoni, O., and Hinderer, M.: A GIS-based method to calculate flow accumulation by considering dams and their specific operation time, Comput. Geosci., 34, 635–646, 2008. </reference>
		<reference numeration="53" content_type="text"> Sherlock, M. D. and McDonnell, J. J.: A new too for hillslope hydrologists: spatial distributed groundwater level and soilwater content measured using electromagnetic induction, Hydrol. Proc., 17, 1965–1977, 2003. </reference>
		<reference numeration="54" content_type="text"> Sidle, R. C., Noguchi, S., Tsuboyama, Y., and Laursen, K.: A conceptual model of preferential flow systems in forested hillslopes: evidence of self-organization, Hydrol. Proc., 15, 1675–1962, 2001. </reference>
		<reference numeration="55" content_type="text"> Soil Survey Division Staff.: Soil Survey Manual, U.S. Department of Agriculture Handbook No. 18, US Government Printing Office, Washington, DC, USA, 1993. </reference>
		<reference numeration="56" content_type="text"> Sørensen, R., Zinko, U., and Seibert, J.: On the calculation of the topographic wetness index: evaluation of different methods based on field observations, Hydrol. Earth Syst. Sci, 10, 101–112, 2006. </reference>
		<reference numeration="57" content_type="text"> Tarboton, D. G.: A new method for the determination of flow directions and upslope areas in grid digital elevation models, Water Resour. Res., 33, 309–319, 1997. </reference>
		<reference numeration="58" content_type="text"> Thompson, J. A., Pena-Yewtukhiw, E. M., and Grove, J. H.: Soil-landscape modelling across a physiographic region: Topographic patterns and model transportability, Geoderma, 133, 57–70, 2006. </reference>
		<reference numeration="59" content_type="text"> Tsukamoto Y. and Ohta, T.: Runoff process on a steep forested slope, J. Hydrol., 102, 165–178, 1988. </reference>
		<reference numeration="60" content_type="text"> Vachaud, G., De Silans Passerat, A., Balabanis, P., and Vauclin, M.: Temporal stability of spatial measured soil water probability density function, Soil Sci. Soc. Am. J., 49, 822–827, 1985. </reference>
		<reference numeration="61" content_type="text"> Van Genuchten, M. T.: A closed form equation for predicting the hydraulic conductivity of unsaturated soils, Soil Sci. Soc. Am. J., 44, 892–898, 1980. </reference>
		<reference numeration="62" content_type="text"> Vogt, J. V., Colombo, R., and Bertolo, F.: Deriving drainage networks and catchment boundaries: a new methodology combining digital elevation data and environmental characteristics, Geomorphology, 53, 281–298, 2003. </reference>
		<reference numeration="63" content_type="text"> Walker, C. and Lin, H. S.: Soil property changes after four decades of wastewater irrigation: a landscape perspective, Catena, 73, 63–74, 2008. </reference>
		<reference numeration="64" content_type="text"> Wu, S., Li, J., and Huang, G. H.: A study on DEM-derived primary topographic attributes for hydrologic applications: sensitivity to elevation data resolution, Appl. Geogr., 28, 210–223,~2008. </reference>
		<reference numeration="65" content_type="text"> Yaalon, D. H., Jungreis, C., and Koyumjisky, H.: Distribution and reorganization of manganese in three catenas of Mediterranean soils, Geoderma, 7, 71–78, 1972. </reference>
		<reference numeration="66" content_type="text"> Zhu, Q. and Lin, H. S.: Combining sample size, spatial structure, and auxiliary variables to determine optimal kriging in contrasting landscapes, Ecol. Model., in review, 2009. </reference>
		<reference numeration="67" content_type="text"> Zhu, Q., Lin, H. S., and Doolittle, J.: Repeated electromagnetic induction surveys for understanding landscape soil and water dynamics, Soil Sci. Soc. Am. J. in review, 2009. </reference>
		<reference numeration="68" content_type="text"> Zinko, U., Seibert, J., Dynesius, M., and Nilsson, C.: Plant species numbers predicted by topography-based groundwater flow index, Ecosystems, 8, 430–441, 2005. </reference>
	</references>
</article>

