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(Article of periodic en Anglais - 2014)

Document title

A comparison of wetness indices for the prediction of observed connected saturated areas under contrasting conditions

Authors(s) and Affiliation(s)

ALI G. (1) ; BIRKEL C. (2) ; TEZLAFF D. (2) ; SOULSBY C. (2) ; MCDONNELL J.J. (2 3) ; TAROLLI P. (4) ;
(1) Dept. of Geological Sciences, Univ., Manitoba, CANADA
(2) Northern Rivers Inst., School of Geosciences, Univ., Aberdeen, ROYAUME-UNI
(3) Global Inst. for Water Security, Univ., Saskatchewan, CANADA
(4) Dept. of Land, Environment, Agriculture and Forestry, Univ., Padova, ITALIE

Abstract

The focus was on the Girnock catchment (Cairngorm Mountains, northeast Scotland) and its sub-catchment, Bruntland Burn in which 7 field surveys were done to capture actual maps of connected saturated areas in both dry and humid conditions. The 1 km2 resolution UK Hydrology of Soil Types (HOST) classification was used to extract relevant, spatially variable, soil parameters. Results show that connected saturated areas were fairly well predicted by wetness indices but only in wet conditions when they covered more than 30% of the whole catchment area. Geomorphic indices including information on terrain shape, steepness, aspect, soil texture and soil depth showed potential but generally performed poorly. Indices based on soil and topographic data did not have more predictive power than those based on topographic information only. Nevertheless, analyses provided interesting insights into the scale-dependent water storage and transport mechanisms in both study catchments

Source

Article of periodic

published at : Earth surface processes and landforms / ISSN 0197-9337 / CODEN ESPLDB

Editor : Wiley, Chichester - ROYAUME-UNI (1981)

Millesime : 2014, vol. 39, no3 [pp. 399-413]

Bibliographic references : 2 p.

Collation : 6 fig., 5 tabl., 2 an.

Language

Anglais

INIST-CNRS, Cote INIST : 17355

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1002/esp.3506

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2014
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