Identification of soil erosion vulnerable areas in Chandrabhaga river basin: a multi-criteria decision approach

Modeling Earth Systems and Environment

Volumn 2, Issue 1, 2016, Pages

  Pal, Swades ^a  

^a UNIVERSITY OF GOUR BANGA   (India)

Author keywords

Raster calculator; RUSLE; Soil erosion; Surface lowering; Weighted linear combination

Indexed keywords

EROSION RATE; MULTICRITERIA ANALYSIS; RASTER; REVISED UNIVERSAL SOIL LOSS EQUATION; SOIL EROSION;

BIRBHUM; CHENAB RIVER; INDIA; WEST BENGAL;

EID: 85006985338     PISSN: 23636203     EISSN: 23636211     Source Type: Journal    
DOI: 10.1007/s40808-015-0052-z     Document Type: Article

References (96)

1. Alin SR, O’Reily CM, Cohen AS, Dettman DL, Palacios-Fest MR, McKee BA (2002) Effects of land-use change on aquatic biodiversity: a view from the paleorecord at Lake Tanganyika, East Africa. Geology 30:1143–1146
2. Amore E et al (2004) Scale effect in USLE and WEPP application for soil erosion computation from three Sicilian basins. J Hydrol 293:100–114
3. Angima SD, Stott DE, O’Neill MK, Ong CK, Weesies GA (2003) Soil erosion prediction using RUSLE for central Kenya highland conditions. Agric Ecosyst Environ 97:295–308
4. Araujo CC, Macedo AB (2002) Multicriteria geologic data analysis for mineral favorability mapping: application to a metal sulphide mineralized area, Ribeira valley metallogenic province Brazil. Nat Resour Res 11:29–43
5. Asproth V, Holmberg SC, Håkansson A (1999) Decision support for spatial planning and management of human settlements. In: Lasker GE (Ed) International institute for advanced studies in systems research and cybernetics. Advances in Support Systems Research, vol 5. Windsor, pp 30–39
6. Bagchi K, Mukerjee KN (1983) Diagnostic survey of West Bengal(s), Department of Geography, Calcutta University, Pantg Delta & Rarh Bengal; pp 17–19, 42–58
7. Baigorria GA, Romero CC (2007) Assessment of erosion hotspots in a watershed: integrating the WEPP model and GIS in a case study in the Peruvian Andes. Environ Model Softw 22:1175–1183
8. Banai R (1993) Fuzziness in geographic information systems: contributions from the analytic hierarchy process. Int J Geogr Inform Syst 7(4):315–329
9. Bandopadhyay S (1987) Man initiated Gullies and slope formation in a lateritic terrain at Santiniketan, West Bengal. Geogr Rev India 49(4):22–23
10. 2 in a mid-latitude forest. Science 294:688–1691
11. Barredo JI, Benavidesz A, Hervhl J, van Westen CJ (2000) Comparing heuristic landslide hazard assessment techniques using GIS in the Tirajana basin, Gran CanariaIsland, Spain. Int J Appl Earth Obs Geoinform 2(1):9–23
12. Beedasy J, Whyatt D (1999) Diverting the tourists: a spatial decision support system for tourism planning on a developing island. J Appl Earth Obs Geoinform 3/4:163–174
13. Boardman J, Shepheard ML, Walker E, Foster ID (2009) Soil erosion and risk assessment for on- and off-farm impacts: a test case using the Midhurst area, West Sussex, UK. J Environ Manag 30:1–11
14. Calijuri ML, Marques ET, Lorentz JF, Azevedo RF, Carvalho CAB (2004) Multi-criteria analysis for the identification of waste disposal areas. Geotech Geol Eng 22(2):299–312
15. Carver SJ (1991) Integrating multi-criteria evaluation with geographical information systems. Int J Geogr Inform Syst 5(3):321–339
16. Chakrabarty SC (1970) Some consideration on the evolution of physiogrphy of Bengal. In: Chattopadhyay B (ed) West Bengal, Geography Institute. Presidency College, Calcutta, p 20
17. Chaudhary A, Abhyankar VP (1979) Does precipitation pattern foretell Gujarat climate becoming arid. Mausam 30:85–90
18. Dash SK, Jenamani RK, Kalsi SR, Kalsi SK (2007) Some evidence of climate change in twentieth-century India. Clim Chang 85(3–4):299–321
19. Drobne S, Lisec A (2009) Multi-attribute decision analysis in GIS: weighted linear combination and ordered weighted averaging. Informatica 33(4):459
20. Duxbury JM (1995) The significance of greenhouse gas emissions from soils tropical agroecosystems. In: Lal R, Kimble J, Levine E, Stewart BA (eds) Soil management and greenhouse effect. CRC Press, Boca Raton, pp 279–292
21. Eastman JR (1997) Idrisi for Windows, Version 20: tutorial exercises, graduate school of geography. Clark University, Worcester
22. Eastman JR (2006) Idrisi andes: tutorial, clark labs. Clark University, Worcester
23. Eggermont H, Verschuren D (2003) Impact of soil erosion in disturbed tributary drainages on the benthic invertebrate fauna of Laka Tanganyika, East Africa. Biol Conserv 113:99–109
24. Elwell HA, Stocking MA (1976) Vegetal cover to estimate soil erosion hazrd in Rhodesia. Geoderma 15:61–70
25. Flanagan DC, Nearing MA (1995) USDA-water erosion prediction project: hillslope profile and watershed model documentation. NSERL Report no. 10, USDA-ARS National Soil Erosion Research Laboratory, West Lafayette
26. Foster GR, Toy TE, Renard KG (2003) Comparison of the USLE, RUSLE1.06c and RUSLE2 for application to highly disturbed lands. In: 2003 Proceedings of first interagency conference on research in the watersheds, Benson, pp 154–160. http://www.tucson.ars.ag.gov/icrw/proceedings/foster.pdf
27. Gachene CK, Jarvis KNJ, Linner H, Mbuvi JP (1997) Soil erosion effects on soil properties in a highland area of Central Kenya. Soil Sci Soc Am J 61:559–564
28. Ghosh K (2015) Hydro-geomorphic appraisal of Bakreswar river basin, Ph.D. thesis submitted in Visva-Bharati University, pp 156–167
29. Ghosh K, Mukhopadhyay S, Pal S (2015) Surface runoff and soil erosion dynamics: a case study on Bakreshwar river basin, eastern India. Int Res J Earth Sci 3(7):11–22
30. Harvey CA, Pimentel D (1996) Effects of soil and wood depletion on biodiversity. Biodivers Conserv 5:1121–1130
31. Heywood I, Oliver J, Tomlinson S (1995) Building an exploratory multi-criteria modelling environment for spatial decision support. In: Fisher P (ed) Innovations in GIS, vol 2. Taylor & Francis, London, pp 127–136
32. Islam MM, Sado K (2002) Development priority map for flood countermeasures by remote sensing data with geographic information system. J Hydro Eng 7(5):346–355
33. Jankowski P (1995) Integrating geographical information systems and multiple criteria decision making methods. Int J Geogr Inform Syst 9(3):251–273
34. Jagannathan P, Parthasarathy B (1973) Trends and periodicities of rainfall over India. Mon Weather Rev 101(4):371–375
35. Jha VC (1997) Laterite and landscape development in tropical lands, a case study. In: Nag P, Kumara V, Singh J (ed) Geography and Environment, Concept, pp 112–144
36. Jha VC, Kapat S (2003) Gully erosion and its implications on land use, a case study. Land degradation and desertification. Publ., Jaipur and New Delhi, pp 156–178
37. Jha VC, Kapat S (2009) Rill and gully erosion risk of lateritic terrain in South-Western Birbhum District, West Bengal, India. Soc Nat (Online) 21(2):141–158
38. Jiang H, Eastman JR (2000) Application of fuzzy measures in multi-criteria evaluation in GIS. Int J Geogr Inform Syst 14:173–184
39. Kar A, Bandopadhyay MK (1974) Mechanism in rills: an investigation in micro-geomorphology. Geogr Rev India 36(3):139–159
40. Kelley DW, Nater EA (2000) Historical sediment flux from three watersheds into Lake Pepin, Minnesota, USA. J Environ Qual 29:561–568
41. Kerr J (1997) The economics of soil degradation: from national policy to farmers’ needs. In: Agus F, Kerr J, Penning de Vries FWT (eds) Soil erosion at multiple scales: principles and methods for assessing causes and impacts. CABI Publishing, Wallingford
42. Kumar KK, Hoerling M, Rajagopalan B (2005) Advancing dynamical prediction of Indian monsoon rainfall. Geophys Res Lett 32(8)
43. Lal R (1985) Soil erosion and sediment transport research in tropical Africa. Hydrol Sci J 30:239–256
44. Lal R (1998) Soil erosion impact on agronomic productivity and environment quality. Crit Rev Plant Sci 17:319–464
45. Lal R (2001) World cropland soils as source or sink for atmospheric carbon. Adv Agron 71:145–191
46. Lal R (2003) Soil erosion and the global carbon budget. Environ Int 29:437–450
47. Lanuzaa RL, Paningbatan EP (2010) Validation and sensitivity analysis of catchment runoff and erosion simulation technology (CREST): a GIS-assisted soil erosion model at watershed level. In: 2010 Proceedings of the international congress on environmental modeling and software modeling for environment’s sake, Ottawa. http://www.iemss.org/iemss2010/index.php?n=Main.Proceedings
48. Lin CY, Lin WT, Chou WC (2002) Soil erosion prediction and sediment yield estimation: the Taiwan experience. Soil Tillage Res 68:143–152
49. Lufafa A, Tenywa MM, Isabirye M, Majaliwa MJG, Woomer PL (2002) Prediction of soil erosion in Lake Victoria basin catchment using GIS-based universal soil loss model. Agric Syst 73:1–12
50. Maji A (2007) Assessment of degraded and wastelands of India. J Indian Soc Soil Sci 55:427–435
51. Makropoulos C, Butler D (2005) Spatial ordered weighted averaging: incorporating spatially variable attitude towards risk in spatial multi-criteria decision-making. Environ Model Softw 21(1):69–84
52. Malczewski J (2004) GIS-based land-use suitability analysis: a critical overview. Prog Plan 62(1):3–65
53. Malczewski J, Rinner C (2005) Exploring multicriteria decision strategies in GIS with linguistic quantifiers: a case study of residential quality evaluation. J Geogr Syst 7(2):249–268
54. Malczewski J, Chapman T, Flegel C, Walters D, Shrubsole D, Healy MA (2003) GIS-multicriteria evaluation with ordered weighted averaging (OWA): case study of developing watershed management strategies. Environ Plan A 35(10):1769–1784
55. Mendes JFG, Motizuki WS (2001) Urban quality of life evaluation scenarios: the case of Sao Carlos in Brazil. CTBUH Rev 1(2):1–10
56. Milevski I (2008) Estimation of soil erosion risk in the upper part of Bregalnica watershed-republic of Macedonia based on digital elevation model and satellite imagery. In: Proceedings from the 5th international conference on geographic information systems. Fatih University, Istanbul, pp 351–358
57. Mondal D, Pal S (2015) A multi-parametric spatial modeling of vulnerability due to arsenic pollution in Murshidabad district of West Bengal, India. Arab J Geosci. doi:10.1007/s12517-015-1809-4
58. Mukherjee A, Fryar AE, Howell PD (2007) Regional hydrostratigraphy and groundwater flow modeling in the arsenic-affected areas of the western Bengal basin, West Bengal, India. Hydrogeol J 15(7):1397–1418
59. Ochumba PBO (1990) Massive fish kills within the Nyanza Gulf of Lake Victoria, Kenya. Hydrobiologia 208:93–99
60. Oostwoud DJ, Bryan R (2001) Gully-head erosion processes and semiarid valley floor of Kenya: a case study into temporal variation and sediment budgeting. Earth Surf Process Landf 26:911–933
61. Pandey A, Chowdary VM, Mal BC (2009) Sediment yield modeling of an agricultural watershed using MUSLE, remote sensing and GIS. Paddy Water Environ, 7(2):105–113
62. Pimentel D (1993) World soil erosion and conservation. Cambridge University Press, Cambridge
63. Pimentel D, Kounang N (1998) Ecology of soil erosion in ecosystems. Ecosystems 1:418–426
64. Prasannakumar V, Vijith H, Abinod S, Geetha N (2012) Estimation of soil erosion risk within a small mountainous sub-watershed in Kerala, India, using Revised Universal Soil Loss Equation (RUSLE) and geo-information technology. Geosci Front 3(2):209–215
65. Rashed T, Weeks J (2003) Assessing vulnerability to earthquake hazards through spatial multicriteria analysis of urban areas. Int J Geogr Inform Sci 17(6):547–576
66. Ray A, Shekhar S (2009) Ground water issues and development strategies in West Bengal. Bhu-Jal News 24(1):1–17
67. Renard KG, Foster GR, Weesies GA, Porter JP (1991) RUSLE: revised universal soil loss equation. J Soil Water Conserv 46(1):30–33
68. Renard KG, Foster GR, Weesies GA, McCool DK, Yoder DC (1997) Predicting rainfall erosion losses: a guide to conservation planning with the revised universal soil loss equation (RUSLE) US. Department of Agriculture, Agricultural Handbook 703, Washington, DC, p 404
69. Rinner C, Malczewski J (2002) Web-enabled spatial decision analysis using ordered weighted averaging. J Geogr Syst 4(4):385–403
70. Robert PS (2000) Engineer, soil management/OMAFRA; Don Hilborn-Engineer, Byproduct Management/OMAFRA
71. Sanchez PA, Shepherd KD, Soule MJ, Place FM, Buresh RJ, Izac AN, Mokwunye AU, Kwesiga FR, Ndiritu CG, Woomer PL (1997) Soil fertility replenishment in Africa: an investment in natural resource capital. In: Replenishing soil fertility in Africa, soil science society of America Special Publication 51, Soil Science Society of America, Madison
72. Santhi C, Arnold JG, Williams JR, Dugas WA, Srinivasan R, Hauck LM (2001) Validation of the SWAT model on a large river basin with point and nonpoint sources. J Am Water Resour Assoc 37(5):1169–1188
73. Santhi C, Srinivasan R, Arnold JG, Williams JR (2006) A modeling approach to evaluate the impacts of water quality management plans implemented in a watershed in Texas. Environ Model Softw 21:1141–1157
74. Sanyal J, Lu XX (2006) GIS-base flood hazard mapping at different administrative scales: a case study in Gangetic West Bengal, India. Singap J Trop Geogr 27:207–220
75. Sehgal J, Abrol IP (1994) Soil degradation in India: status and impact. Oxford and IBH, New Delhi, p 80
76. Sharda VN, Dogra P, Prakash C (2010) Assessment of production losses due to water erosion in rainfed areas of India. J Soil Water Conserv 65:79–91
77. Sharda VN, Mandal D, Ojasvi PR (2013) Identification of soil erosion risk area for conservation planning in different states of India. J Environ Biol 34:219–226
78. Sinha Ray KC, De US (2003) Climate change in India as evidenced from instrumental records. Bulletin of the World Meteorological Organization 52:53–59
79. Tinker PB (1997) The environmental implications of intensified land use in developing countries. Philos Trans R Soc Lond B 352:1023–1033
80. Toy TJ, Foster GR (1998) Use of the revised universal soil loss equation (RUSLE) version 1.06 on mined lands, construction sites, and reclaimed lands. US Department of Interior, Office of Surface Mining, Reclamation, and Regulation, USA
81. Turpin N, Bontems P, Rotillon G et al (2005) AgriWaterBMP: systems approach to environmentally sound farming. Environ Model Softw 20(2005):187–196
82. UNCED (1992) Agenda 21: programme of action for sustainable development, rio declaration on environment and development, statement of principles. Final text of agreement negotiated by governments at the United Nations Conference on Environment and Development (UNCED), 3–14 June 1992, Rio de Janeiro, Brazil, UNDP, New York
83. UNEP (1997) World atlas of desertification, 2nd ed, Arnold London. In: Waugh D (ed) Geography: an integrated approach, New York
84. UNFCCC (1992) United Nations framework convention on climate change. UNFCC, Bonn
85. UNFCCC (1997) Kyoto protocol to the United Nations framework convention on climate change. UNFCC, Bonn
86. UNFCD (1996) United Nations framework convention to combat desertification. Bonn
87. US Department of Agriculture, Agricultural Research Service, National Sediment Laboratory (USDA-ARS-NSL) (2003) “RUSLE1.06c and RUSLE2,” USA. http://www.sedlab.olemiss.edu/rusle
88. USDA-NRCS (2008) Revised universal soil loss equation Version 2, User’s Reference Guide, USDA Agricultural Research Service, Washington, DC
89. Vohra BB (1985) Land and water: towards a policy for life-support systems (Vol. 2). INTACH, Indian National Trust for Art and Cultural Heritage
90. Walling DE (2000) Linking land use, erosion and sediment yields in river basins. Hydrobiologia 410:223–240
91. Walling DE, Webb BW (1983) Patterns of sediment yield. In: Gregory KJ (ed) Background to paleohydrology. Wiley, Chichester, pp 69–100
92. Williams JR (1975) Sediment-yield prediction with Universal Equation using runoff energy factor. In: Present and prospective technology for predicting sediment yield and sources. US Department of Agriculture ARS-S40, pp 244–252
93. Williams JR, Jones CA, Dyke PA (1984) A modeling approach to determine the relationship between erosion and soil productivity. Trans Am Soc Agric Eng 27:129–144
94. Wischmeir WH, Smith D (1978) Predicting rainfall erosion losses: a guide to conservation planning. US Department of Agriculture, Agriculture Handbook No. 537
95. Yager RR (1988) On ordered weighted averaging aggregation operators in multi-criteria decision making. IEEE Trans Syst Man Cybernet 18(1):183–190
96. Zobisch MA, Richter C, Heiligteig B, Schlott R (1995) Nutrient losses from cropland in the central highlands of Kenya due to surface runoff and soil erosion. Soil Tillage Res 33:109–116