Channel head locations with respect to geomorphologic thresholds derived from a digital elevation model: A case study in northern Thailand

McNamara, J. P.; Ziegler, Alan D.; Wood, Spencer H.; Vogler, John

doi:10.1016/j.foreco.2005.12.014

Cited by 101 publications

(83 citation statements)

References 27 publications

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“…Streams stand out in a landscape as sharply incised cuts through the otherwise smooth topography. We thus find all grid points where the elevation contours are sharply curved (39)(40)(41). Rills in the ravine walls are then eliminated by requiring the slope to be moderate at the channel bottom.…”

Section: Observationmentioning

confidence: 99%

Ramification of stream networks

Devauchelle

Petroff

Seybold

et al. 2012

Proc. Natl. Acad. Sci. U.S.A.

123

141

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The geometric complexity of stream networks has been a source of fascination for centuries. However, a comprehensive understanding of ramification-the mechanism of branching by which such networks grow-remains elusive. Here we show that streams incised by groundwater seepage branch at a characteristic angle of 2π/5 = 72°. Our theory represents streams as a collection of paths growing and bifurcating in a diffusing field. Our observations of nearly 5,000 bifurcated streams growing in a 100 km 2 groundwater field on the Florida Panhandle yield a mean bifurcation angle of 71.9°± 0.8°. This good accord between theory and observation suggests that the network geometry is determined by the external flow field but not, as classical theories imply, by the flow within the streams themselves.river networks | network growth | Laplacian growth

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Section: Observationmentioning

confidence: 99%

Ramification of stream networks

Devauchelle

Petroff

Seybold

et al. 2012

Proc. Natl. Acad. Sci. U.S.A.

123

141

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“…The indices and parameters derived from DEM are slope, aspect, plan, and profile curvatures, capacity of the runoff flow to incise, drainage area, and PWI, which is a hydrologic parameter that measures the erosive power (flow intensity) of the concentrated flow (15). In fact, the WPI was used in several studies as an indicator of areas susceptible to water erosion (10,11,(15)(16)(17)(18)(19). Other studies were considered this index as one of the main conditioning factors of landslide occurrence (18,52).…”

Section: Water Power Indexmentioning

confidence: 99%

“…In fact, the WPI was used in several studies as an indicator of areas susceptible to water erosion (10,11,(15)(16)(17)(18)(19). Other studies were considered this index as one of the main conditioning factors of landslide occurrence (18,52). Furthermore, it was used to analyze the sediment dynamics in mountain basins (53).…”

Section: Water Power Indexmentioning

confidence: 99%

“…In fact, the DEM was used to derive topographic and hydrologic parameters that are responsible for terrain exposure to degradation risks by water erosion. The topographic parameters as plan and profile curvature were used to map the potential areas of denudation, transit, and accumulation of sediments) (10,14), while the hydrologic parameters as the water power index (WPI) were used to measure potential overland flow indicating the possibility of water erosion (10,11,(15)(16)(17)(18)(19). Moreover, various methods for soil degradation characterization were adapted using soil spectral indices derived from remote sensing data (11,(20)(21)(22)(23)(24)(25).…”

Section: Introductionmentioning

confidence: 99%

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Water erosion risk mapping using derived parameters from digital elevation model and remotely sensed data

Maimouni

Harti

Bannari

et al. 2012

Geo-spatial Information Science

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The aim of this study is to map the areas exposed to water erosion risks in the High Atlas Mountains of Morocco around the Hassan-I dam. The methodology is based on the analysis of the water power index (WPI) as a hydrological parameter, the vegetation cover, and the litho-logical units. The WPI was derived from a Digital Elevation Model (DEM) and the litho-logical units and vegetation cover were derived from Advanced Land Imager sensor on the Earth Observing-1 satellite platform. The image was corrected from radiometric and atmospheric effects, and geometrically rectified using a DEM and grounds control points. These variables were integrated in a Geographical Information Systems environment, and Multi-Criteria Analyses were used to derive the water erosion risks map pointing out the most exposed areas requiring the implementation of suitable conservation measures. The validation of the obtained results shows the simplicity and the potential of this approach for water erosion risks mapping.

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“…An investigation in a tropical rain forest of Sabah, Malaysia, details the role of soil pipeflow on runoff generation and sediment supply processes (Sayer et al, 2006). Two papers derive indices based on topography to draw inferences about physical processes in headwater catchments of northern Thailand and east Malaysia (Chappell et al, 2006b;McNamara et al, 2006). Lai and Detphachanh (2006) found that even during dry years, bedload sediment constituted greater than one-third of the total sediment flux from a moderate sized catchment in Peninsular Malaysia.…”

mentioning

confidence: 99%