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

Natural Hazards

Volumn 62, Issue 3, 2012, Pages 953-970

  da Silva, Richarde Marques ^a   Montenegro, Suzana Maria Gico Lima ^b   Santos, Celso Augusto Guimarães ^a  

^a FEDERAL UNIVERSITY OF PARAÍBA   (Brazil)

^b FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

Author keywords

Geotechnologies; Sediment yield; Tapacur catchment; USLE

Indexed keywords

CATCHMENT; ERODIBILITY; EROSIVITY; GIS; REMOTE SENSING; SEDIMENT YIELD; SOIL CONSERVATION; SOIL EROSION; UNIVERSAL SOIL LOSS EQUATION;

BRAZIL; PERNAMBUCO; RECIFE;

EID: 84861678030     PISSN: 0921030X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11069-012-0128-2     Document Type: Article

References (38)

1. Banasik K, Barszcz M, Brański J (2005) Major components of a sediment budget for four river catchments in Poland. IAHS Publ 292: 32-36.
2. Beskow S, Mello CR, Norton LD, Curi N, Viola MR, Avanzi JC (2009) Soil erosion prediction in the Grande River Basin. Brazil using distributed modelling. Catena 79(1): 49-59. doi: 10. 1016/j. catena. 2009. 05. 010.
3. Bewket W, Teferi E (2009) Assessment of soil erosion hazard and prioritization for treatment at the watershed level: case study in the Chemoga watershed, Blue Nile Basin, Ethiopia. Land Degrad Develop 20(7): 609-622. doi: 10. 1002/ldr. 944.
4. Brazilian National Water Agency (2010) HIDROWEB Hydrological data. http://hidroweb. ana. gov. br. Accessed 26 July 2010.
5. Da Silva AM (2004) Rainfall erosivity map for Brazil. Catena 57(2): 251-259. doi: 10. 1016/j. catena. 2003. 11. 006.
6. Da Silva AM, Casatti L, Álvares CA, Leite AM, Martinelli LA, Durrant SF (2007) Soil loss risk and habitat quality in streams of a meso-scale river basin. Scientia Agrícola 64(4): 336-343. doi: 10. 1590/S0103-90162007000400004.
7. Dabral PP, Baithuri N, Pandey A (2008) Soil erosion assessment in a hilly catchment of North Eastern India using USLE, GIS and remote sensing. Water Resour Manage 22(12): 1783-1798. doi: 10. 1007/s11269-008-9253-9.
8. De Moor JJW, Verstraeten G (2008) Alluvial and colluvial sediment storage in the Geul River catchment (The Netherlands)-combining field and modelling data to construct a Late Holocene sediment budget. Geomorphology 95(4): 487-503. doi: 10. 1016/j. geomorph. 2007. 07. 012.
9. Erdogan EH, Erpul G, Bayramin I (2007) Use of USLE/GIS methodology for predicting soil loss in a semiarid agricultural watershed. Environ Monit Assess 131(2): 153-161. doi: 10. 1007/s10661-006-9464-6.
10. FAO/UNESCO (1988) Soil map of the world, revised legend. World soil resources. Rep. 60. FAO, Rome.
11. Farinasso M, Carvalho Júnior OA, Guimarães RF, Gomes RAT, Ramos VM (2006) Qualitative assessment of the potential for erosion in large areas by USLE. Braz J Geomorphol 7(2): 73-85 (in Portuguese).
12. Fistikoglu O, Harmancioglu NB (2002) Integration of GIS and USLE in assessment of soil erosion. Water Resour Manag 16(6): 447-467. doi: 10. 1023/A: 1022282125760.
13. Hantush MM, Kalin L (2005) Uncertainty and sensitivity analysis of runoff and sediment yield in a small agricultural watershed with Kineros-2. Hydrol Sci J 50(6): 1151-1172. doi: 10. 1623/hysj. 2005. 50. 6. 1151.
14. Hrissanthou V (2005) Estimate of sediment yield in a basin without sediment data. Catena 64(4): 333-347. doi: 10. 1016/j. catena. 2005. 08. 014.
15. Irvem A, Topaloglu F, Uygu V (2007) Estimating spatial distribution of soil loss over Seyhan River Basin in Turkey. J Hydrol 336(1): 30-37. doi: 10. 1016/j. jhydrol. 2006. 12. 009.
16. Jain MK, Das D (2009) Estimation of sediment yield and areas of soil erosion and deposition for watershed prioritization using GIS and remote sensing. Water Resour Manag 24(10): 2091-2112. doi: 10. 1007/s11269-009-9540-0.
17. Kalin L, Hantush MH (2006) Comparative assessment of two distributed watershed models with application to a small watershed. Hydrol Process 20(11): 2285-2307. doi: 10. 1002/hyp. 6063.
18. Lillesand TM, Kiefer RW (2000) Remote sensing and image interpretation. Willey, New York, p 724p.
19. Moltz HLN, Rast W, Lopes VL, Ventura SJ (2011) Use of spatial surrogates to assess the potential for non-point source pollution in large watersheds. Lakes Reserv Rese Manag 16(1): 3-13. doi: 10. 1111/j. 1440-1770. 2011. 00460. x.
20. Moore ID, Burch G (1986) Physical basis of the length-slope factor in the universal soil loss equation. Soil Sci Soc Amer J 50(5): 1294-1298. doi: 10. 2136/sssaj1986. 03615995005000050042x.
21. Ozcan AU, Erpul G, Basaran M, Erdogan HE (2008) Use of USLE/GIS technology integrated with geostatistics to assess soil erosion risk in different land uses of Indagi Mountain Pass-Çankiri, Turkey. Environ Geol 53(8): 1731-1741. doi: 10. 1007/s00254-007-0779-6.
22. Pandey A, Chowdary VM, Mal BC (2007) Identification of critical erosion prone areas in the small agricultural watershed using USLE, GIS and remote sensing. Water Resour Manag 21(4): 729-746. doi: 10. 1007/s11269-006-9061-z.
23. Santos CAG, Srinivasan VS, Suzuki K, Watanabe M (2003) Application of an optimization technique to a physically based erosion model. Hydrol Process 17(10): 989-1003. doi: 10. 1002/hyp. 1176.
24. Santos CAG, Freire PKMM, Silva RM, Arruda PM, Mishra SK (2011) Influence of the catchment discretization on the optimization of runoff-erosion modelling. J Urb Environ Eng 5(2): 91-102. doi: 10. 4090/juee. 2011. v5n2. 091102.
25. Silva AM, Alvares CA (2005) Information gathering and structuring of a database on erodibility of soil in São Paulo state. Geociências 24(1): 33-41 (in Portuguese).
26. Silva RM, Santos CAG (2008) Sediment yield prediction through the use of a runoff-erosion model coupled to a GIS. Brazil J Agricul Environ Eng 12(5): 520-526. doi: 10. 1590/S1415-43662008000500013 (in Portuguese).
27. Silva AB, Resende M, Sousa AR, Margolis E (1999) Soil mobilization, erosion and corn and bean yields in a regosol on the Pernambuco state dry area. Pesq Agropec Bras 34(2): 299-307. doi: 10. 1590/S0100-204X1999000200018.
28. Silva RM, Santos CAG, Silva LP (2007) Evaluation of soil loss in Guaraíra basin by GIS and remote sensing based model. J Urb Environ Engin 1(2): 44-52. doi: 10. 4090/juee. 2007. v1n2. 044052.
29. Silva RM, Paiva FML, Santos CAG (2009) Evaluation of soil erodibility and soil loss in Capiá basin based on geographical information system and remote sensing. Brazil J Phys Geogr 2(1): 26-40 (in Portuguese).
30. Silva RM, Santos CAG, Montenegro SMGL, Silva LP (2010) Spatial analysis of vegetal cover and sediment yield in Tapacurá river catchment based on remote sensing and GIS. Land Reclam 42(1): 5-16. doi: 10. 2478/v10060-008-0059-5.
31. Tripathi MP, Panda RK, Raghuwanshi NS (2003) Identification and prioritisation of critical sub-watersheds for soil conservation management using the SWAT model. Biosyst Eng 85(3): 365-379. doi: 10. 1016/S1537-5110(03)00066-7.
32. van Dijk PM, Kwaad FJPM (1998) Modelling suspended sediment supply to the River Rhine drainage network: a methodological study. IAHS Publ 249: 165-176.
33. Vemu S, Pinnamaneni UB (2011) Estimation of spatial patterns of soil erosion using remote sensing and GIS: a case study of Indravati catchment. Nat Hazard 57(2): 1-17. doi: 10. 1007/s11069-011-9832-6.
34. Verstraeten G, Rommens T, Peeters I, Poesen J, Govers G, Lang A (2009) A temporarily changing Holocene sediment budget for a loess-covered catchment (central Belgium). Geomorph 108(1): 24-34. doi: 10. 1016/j. geomorph. 2007. 03. 022.
35. Wijesekara S, Samarakoon L (2001) Extraction of parameters and modelling soil erosion using GIS in a grid environment. Proceedings of XXII Asian conference on remote sensing, Singapore.
36. Winchell MF, Jackson SH, Wadley AM, Srinivasan R (2008) Extension and validation of a geographic information system-based method for calculating the revised universal soil loss equation length-slope factor for erosion risk assessments in large watersheds. J Soil Water Conserv 63(1): 105-111. doi: 10. 2489/jswc. 63. 3. 105.
37. Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses. Agriculture handbook science and education, vol 357. Admin. U. S. Department of Agriculture, Washington, p 58.
38. Zhang Y, Degroote J, Wolter C, Sugumaran R (2009) Integration of modified universal soil loss equation (MUSLE) into a GIS framework to assess soil erosion risk. Land Degrad Dev 20(1): 84-91. doi: 10. 1002/ldr. 893.