Integration of GIS and remote sensing for estimation of soil loss and prioritization of critical sub-catchments: a case study of Tapacura catchment

被引:35
作者
da Silva, Richarde Marques [2 ]
Gico Lima Montenegro, Suzana Maria [3 ]
Guimaraes Santos, Celso Augusto [1 ]
机构
[1] Univ Fed Paraiba, Dept Civil & Environm Engn, BR-58051900 Joao Pessoa, Paraiba, Brazil
[2] Univ Fed Paraiba, Dept Geosci, BR-58051900 Joao Pessoa, Paraiba, Brazil
[3] Univ Fed Pernambuco, Water Resources Res Grp, Dept Civil Engn, BR-50741530 Recife, PE, Brazil
关键词
USLE; Geotechnologies; Sediment yield; Tapacura catchment; LENGTH-SLOPE FACTOR; SEDIMENT BUDGET; EROSION RISK; RIVER-BASIN; USLE; IDENTIFICATION; YIELD;
D O I
10.1007/s11069-012-0128-2
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Mapping of erosion risk areas is an important tool for the planning of natural resources management, allowing researchers to propose the modification of land use properly and implement more sustainable long-term management strategies. The objective of this study was to assess and identify critical sub-catchments for soil conservation management using the USLE, GIS, and remote sensing techniques. The Tapacura catchment is one of the planning units for water resource management of the Recife Metropolitan Region. Maps of the erosivity (R), erodibility (K), slope (LS), cover-management (C), and support practice (P) factors were derived from the climate database, digital elevation model, and soil and land-use maps. In order to validate the simulation process, total sediment delivery ratio was estimated. The results showed a mean sediment delivery ratio (SDR) of around 11.5 % and a calculated mean sediment yield of 0.108 t ha(-1) year(-1), which is close to the observed one, 0.169 t ha(-1) year(-1). The obtained soil loss map could be considered as a useful tool for environmental monitoring and water resources management. The methodology applied showed acceptable precision and allowed the identification of the most susceptible areas to soil erosion by water, constituting an important predictive tool for soil and environmental management in this region, which is highly relevant for the prediction of varying development scenarios for Tapacura catchment. This approach can be applied to other areas for simple and reliable identification of critical areas of soil erosion in catchments.
引用
收藏
页码:953 / 970
页数:18
相关论文
共 38 条
[1]  
[Anonymous], 2007, J URBAN ENV ENG
[2]  
Banasik K, 2005, IAHS-AISH P, V292, P32
[3]   Soil erosion prediction in the Grande River Basin, Brazil using distributed modeling [J].
Beskow, S. ;
Mello, C. R. ;
Norton, L. D. ;
Curi, N. ;
Viola, M. R. ;
Avanzi, J. C. .
CATENA, 2009, 79 (01) :49-59
[4]   ASSESSMENT OF SOIL EROSION HAZARD AND PRIORITIZATION FOR TREATMENT AT THE WATERSHED LEVEL: CASE STUDY IN THE CHEMOGA WATERSHED, BLUE NILE BASIN, ETHIOPIA [J].
Bewket, W. ;
Teferi, E. .
LAND DEGRADATION & DEVELOPMENT, 2009, 20 (06) :609-622
[5]  
Brazilian National Water Agency, 2010, HIDROWEB HYDR DAT
[6]   Soil mobilization, erosion and corn and bean yields in a Regosol on the Pernambuco State dry area [J].
Da Silva, AB ;
Resende, M ;
De Sousa, AR ;
Margolis, E .
PESQUISA AGROPECUARIA BRASILEIRA, 1999, 34 (02) :299-307
[7]   Soil loss risk and habitat quality in streams of a meso-scale river basin [J].
da Silva, Alexandre Marco ;
Casatti, Lilian ;
Alvares, Clayton Alcarde ;
Leite, Aline Maria ;
Martinelli, Luiz Antonio ;
Durrant, Steven F. .
SCIENTIA AGRICOLA, 2007, 64 (04) :336-343
[8]   Rainfall erosivity map for Brazil [J].
da Silva, AM .
CATENA, 2004, 57 (03) :251-259
[9]   Soil Erosion Assessment in a Hilly Catchment of North Eastern India Using USLE, GIS and Remote Sensing [J].
Dabral, P. P. ;
Baithuri, Neelakshi ;
Pandey, Ashish .
WATER RESOURCES MANAGEMENT, 2008, 22 (12) :1783-1798
[10]   Alluvial and colluvial sediment storage in the Geul River catchment (The Netherlands) - Combining field and modelling data to construct a Late Holocene sediment budget [J].
de Moor, J. J. W. ;
Verstraeten, G. .
GEOMORPHOLOGY, 2008, 95 (3-4) :487-503