Routing overland flow through sinks and flats in interpolated raster terrain surfaces

Kenny, Frank; Matthews, Bryce; Todd, Kent

doi:10.1016/j.cageo.2008.02.019

Cited by 41 publications

(32 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Flow path simulated using the D8 tends to be concentrated to distinct, often artificially straight lines, as reported by Seibert and McGlynn (2007). In addition, Kenny et al (2008) pointed out that the D8 algorithm can not yield good simulation results in low relief areas or areas with poor DEMs. Efforts to alleviate these drawbacks have focused on introducing models with multiple-flow directions, also called dispersive algorithms.…”

Section: Introductionmentioning

confidence: 90%

“…However, other studies also showed that the dispersive algorithms can be used to define dispersive flow paths (e.g., Bogaart and Troch, 2006). A few studies have suggested that the D8 method can yield good results in areas of substantial relief using a high resolution DEM (e.g., 3-5 m resolution DEM) (Guo et al, 2004;Kenny et al, 2008;Paik, 2008;Wu et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Simulation and validation of concentrated subsurface lateral flow paths in an agricultural landscape

Zhu

Lin

2009

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. 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 latCorrespondence to: H. S. Lin (henrylin@psu.edu) eral 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.

show abstract

Section: Introductionmentioning

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Simulation and validation of concentrated subsurface lateral flow paths in an agricultural landscape

Zhu

Lin

2009

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…Each sub-basin does not have any other upstream basin so that the hydrologic response of each individual sub-basin can be assessed without any effects from adjacent sub-basins. Inaccurate watershed delineation could be generated due to errors in the DEM data such as flat or sink areas [50], that can be found in the low relief or flat areas [51,52].…”

Section: Methodsmentioning

confidence: 99%

A Hydrological and Geomorphometric Approach to Understanding the Generation of Wadi Flash Floods

Abdel-Fattah

Saber

Kantoush

et al. 2017

Water

View full text Add to dashboard Cite

Abstract:The generation and processes of wadi flash floods are very complex and are not well understood. In this paper, we investigate the relationship between variations in geomorphometric and rainfall characteristics and the responses of wadi flash floods. An integrated approach was developed based on geomorphometric analysis and hydrological modeling. The Wadi Qena, which is located in the Eastern Desert of Egypt, was selected to validate the developed approach and was divided into 14 sub-basins with areas ranging from 315 to 1488 km 2 . The distributed Hydrological River Basin Environment Assessment Model (Hydro-BEAM) was used to obtain a good representation of the spatial variability of the rainfall and geomorphology in the basin. Thirty-eight geomorphometric parameters representing the topographic, scale, shape and drainage characteristics of the basins were considered and extracted using geographic information system (GIS) techniques. A series of flash flood events from 1994, 2010, 2013, and 2014, in addition to synthetic virtual storms with different durations and intensities, were selected for the application of this study. The results exhibit strong correlations between scale and topographic parameters and the hydrological indices of the wadi flash floods, while the shape and drainage network metrics have smaller impacts. The total rainfall amount and duration significantly impact the relationship between the hydrologic response of the wadi and its geomorphometry. For most of the parameters, we found that the impact of the wadi geomorphometry on the hydrologic response increases with increasing rainfall intensity.

show abstract

“…A variety of techniques exist for modifying DEMs to remove topographic depressions in preparation for deriving hydrologic features-reviewed in Kenny andothers (2008, table 2)-including DEM smoothing (O'Callaghan andMark, 1984), outlet breaching (Martz and Garbrecht, 1999), and stream burning using existing vector representations of hydrologic networks (Callow and others, 2007). The filling of depressions (Jenson and Domingue, 1988) can be accomplished quickly in ArcGIS (Esri, Redlands, Calif.) using the Fill tool, which simply increases the elevation values within depression cells and thus allows water to be routed across the filled depression.…”

Section: Hydroconditioningmentioning

confidence: 99%

Automated identification of stream-channel geomorphic features from high‑resolution digital elevation models in West Tennessee watersheds

Cartwright¹,

Diehl²

2017

Scientific Investigations Report

View full text Add to dashboard Cite

Cover: A head cut 3 meters tall that was not detectable from high-resolution aerial imagery but associated with a flow-network zone of steep slope and high slope-area index, Upper Sandy study area. For more information on the USGS-the Federal source for science about the Earth, its natural and living resources, natural hazards, and the environment-visit http://www.usgs.gov or call 1-888-ASK-USGS. Automated Identification of Stream-Channel Geomorphic Features From High-Resolution Digital Elevation Models in West Tennessee WatershedsByFor an overview of USGS information products, including maps, imagery, and publications, visit http://store.usgs.gov/.Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.Although this information product, for the most part, is in the public domain, it also may contain copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner. AbstractHigh-resolution digital elevation models (DEMs) derived from light detection and ranging (lidar) enable investigations of stream-channel geomorphology with much greater precision than previously possible. The U.S. Geological Survey has developed the DEM Geomorphology Toolbox, containing seven tools to automate the identification of sites of geomorphic instability that may represent sediment sources and sinks in stream-channel networks. These tools can be used to modify input DEMs on the basis of known locations of stormwater infrastructure, derive flow networks at user-specified resolutions, and identify possible sites of geomorphic instability including steep banks, abrupt changes in channel slope, or areas of rough terrain. Field verification of tool outputs identified several tool limitations but also demonstrated their overall usefulness in highlighting likely sediment sources and sinks within channel networks. In particular, spatial clusters of outputs from multiple tools can be used to prioritize field efforts to assess and restore eroding stream reaches.

show abstract

Routing overland flow through sinks and flats in interpolated raster terrain surfaces

Cited by 41 publications

References 17 publications

Simulation and validation of concentrated subsurface lateral flow paths in an agricultural landscape

Simulation and validation of concentrated subsurface lateral flow paths in an agricultural landscape

A Hydrological and Geomorphometric Approach to Understanding the Generation of Wadi Flash Floods

Automated identification of stream-channel geomorphic features from high‑resolution digital elevation models in West Tennessee watersheds

Contact Info

Product

Resources

About