Integrating geographical information systems, remote sensing, ground truthing and modelling approaches for regional erosion classification of semi-arid catchments in South Africa

被引:41
作者
Flügel, WA
Märker, M
Moretti, S
Rodolfi, G
Sidrochuk, A
机构
[1] Univ Kassel, Zentrum Umweltsyst Forsch, D-34125 Kassel, Germany
[2] Univ Jena, Inst Geog, D-07743 Jena, Germany
[3] Univ Florence, Dipartimento Sci Terra, I-50121 Florence, Italy
[4] Univ Florence, Dipartimento Sci Suolo & Nutr Pianta, I-50144 Florence, Italy
[5] Moscow MV Lomonosov State Univ, Fac Geog, Moscow 119899, Russia
关键词
response units; erosion; erosion modelling; sediment yield; southern Africa;
D O I
10.1002/hyp.1171
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Water resources management is an important issue in southern African countries. With respect to water quality problems, the understanding of the dynamics of integrated soil erosion processes in river basins is of crucial importance. This study is on the delineation of response units (RUs) in the Mkomazi River catchment (KwaZulu/Natal; South Africa). It was carried out within the framework of an interdisciplinary EU-funded project aimed at developing an integrated water resources management system for water resources analyses and prognostic scenario planning in semi-arid catchments of southern Africa. Within this more general framework, particular attention was focused on the identification of sediment source areas. For this purpose, the RUs concept was applied to delineate erosion RUs (ERUs). The ERUs were subsequently used to identify heterogeneously distributed areas within a river catchment characterized by specific hydrological and erosion dynamics and features. Therefore, they can be applied as modelling entities in physically based hydrological and erosion models. Spatially distributed input data from the catchment were derived by remote sensing techniques and geographical information systems analyses. Taking into account the high amount of sediments produced by gully erosion, not considered in USLE-type models, special attention was focused on gully erosion using a dynamic gully erosion model. The example from southern Africa shows that the methods applied are able to identify areas affected by gully erosion. Furthermore, it was possible to estimate the entire amount of soil loss, including gully erosion. Copyright (C) 2003 John Wiley Sons, Ltd.
引用
收藏
页码:929 / 942
页数:14
相关论文
共 26 条
[1]  
[Anonymous], 1976, NATAL TOWN REGIONAL
[2]   POTENTIALS AND LIMITS OF VEGETATION INDEXES FOR LAI AND APAR ASSESSMENT [J].
BARET, F ;
GUYOT, G .
REMOTE SENSING OF ENVIRONMENT, 1991, 35 (2-3) :161-173
[3]  
BOTHAN GA, 1996, MEMOIR GEOLOGICAL SU, P83
[4]   Gully processes and modelling [J].
Bull, LJ ;
Kirkby, MJ .
PROGRESS IN PHYSICAL GEOGRAPHY, 1997, 21 (03) :354-374
[5]  
EVERSON CS, 1989, S AFR J SCI, V85, P113
[6]  
FLUGEL WA, 1999, ZENTRALBLATT GEOLO 1, V5, P641
[7]  
GARLAND GG, 1987, 20 NAT TOWN REG PLAN
[8]  
KILLICK DJB, 1963, MEMOIRS BOTANICAL SU, V32
[9]  
Kosov B.F., 1978, Eksperimental'naya geomorfologiya, V3, P113
[10]  
Marker M., 2001, GEOGR FIS DIN QUAT, V24, P71