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Digital elevation data for estimation of potential wetness in ridged fields - Comparison of two different methods

Author:
  • Petter Pilesjö
  • Andreas Persson
  • Lars Harrie
Publishing year: 2006
Language: English
Pages: 225-247
Publication/Series: Agricultural Water Management
Volume: 79
Issue: 3
Document type: Journal article
Publisher: Elsevier

Abstract english

The aim of this study was to develop, adjust and test two different methods for the estimation of drainage area and potential wetness in ridged fields. The methods were applied to a gridded digital elevation model (DEM) of a potato field in central Sweden. Elevation data were registered by a global positioning system (GPS) receiver. A high-precision real time kinematic (RTK) system was used to record positions both horizontally and vertically. The study can be divided into four parts. First, we present the two different methods of estimating the drainage area and potential wetness. The potential wetness index used is 1n(a/tan beta), which is directly related to drainage area. Second, we constructed a high-accuracy DEM based on GPS-measured elevation points. We then modelled the GPS errors and the sampling errors in the DEM. Finally, we used a Monte Carlo simulation to test differences between the two methods of estimating the drainage area and potential wetness. The wetness index for the new method, which takes ridges into account, differs both statistically and visually from the first method, which does not incorporate ridges. The new method, incorporating ridges, is thus strongly recommended for hydrological modelling in ridged agricultural fields. (c) 2005 Elsevier B.V. All rights reserved.

Keywords

  • Physical Geography
  • ridged fields
  • DEM
  • surface water modelling
  • topographic form
  • index
  • wetness

Other

Published
  • ISSN: 1873-2283
E-mail: andreas [dot] persson [at] nateko [dot] lu [dot] se

Senior lecturer

Dept of Physical Geography and Ecosystem Science

+46 46 222 42 62

GIS-centrum 103

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Senior lecturer

Centre for Geographical Information Systems (GIS Centre)

+46 46 222 42 62

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Teaching staff

Dept of Physical Geography and Ecosystem Science

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Department of Physical Geography and Ecosystem Science
Lund University
Sölvegatan 12
S-223 62 Lund
Sweden

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