Estimation of soil losses by USLE model using GIS at Mashhad plain, Northeast of Iran

Arabian Journal of Geosciences

Volumn 7, Issue 1, 2014, Pages 211-220

  Bagherzadeh, Ali ^a  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Erosion; GIS; Mashhad plain; Soil losses; USLE model

Indexed keywords

ANNUAL VARIATION; ESTIMATION METHOD; GIS; NUMERICAL MODEL; PARAMETERIZATION; REGIONAL PATTERN; SOIL EROSION; STATISTICAL ANALYSIS;

IRAN; MASHHAD; RAZAVI KHORASAN;

EID: 84891555790     PISSN: 18667511     EISSN: 18667538     Source Type: Journal    
DOI: 10.1007/s12517-012-0730-3     Document Type: Article

References (22)

1. Baban SMJ, Yusof KW (2001) Modelling soil erosion in tropical environments using remote sensing and geographical information systems. Hydrol Sci J 46(2): 191-198.
2. Chowdary VM, Yatindranath Kar S, Adiga S (2004) Modelling of non-point source pollution in a watershed using remote sensing and GIS. J Indian Soc Remote Sens 32(1): 59-73.
3. Dickinson A, Collins R (1998) Predicting erosion and sediment yield at the catchment scale. In: Penning de Vries FWT, Agus F, Kerr J (eds) Soil erosion at multiple scales. CAB Int, UK, pp 317-342.
4. Eedy W (1995) The use of GIS in environmental assessment. Impact Assess 13: 199-206.
5. 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: 153-161.
6. Jain MK, Kothyari UC (2000) Estimation of soil erosion and sediment yield using GIS. Hydrol Sci J 45(5): 771-786.
7. Jain SK, Kumar S, Varghese J (2001) Estimation of soil erosion for a Himalayan watershed using GIS technique. Water Resour Manag 15: 41-54.
8. Julien PY, Gonzales del Tanago M (1991) Spatially varied soil erosion under different climates. Hydrol Sci J 36(6): 511-524.
9. Khan MA, Gupta VP, Moharanam PC (2001) Watershed prioritization using remote sensing and geographical information system: a case study from Guhiya. India J Arid Environ 49: 465-475.
10. Kothyari UC, Jain SK (1997) Sediment yield estimation using GIS. Hydrol Sci J 42(6): 833-843.
11. Martin A, Gunter J, Regens J (2003) Estimating erosion in a riverine watershed, Bayou Liberty-Tchefuncta River in Louisiana. Environ Sci Pollut Res 4: 245-250.
12. Morgan RPC, Davidson DA (1991) Soil erosion and conservation. Longman Group, UK.
13. Onyando JO, Kisoyan P, Chemelil MC (2005) Estimation of potential soil erosion for river perkerra catchment in Kenya. Water Resour Manag 19: 133-143.
14. 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 Manage 21: 729-746.
15. Saxena RK, Verma KS, Chary GR, Srivastava R, Barthwal AK (2000) IRS-1C data application in watershed characterization and management. Int J Remote Sens 21(17): 3197-3208.
16. Sharda D, Ravi Kumar MV, Venkatatatnam L, Rao M (1993) Watershed prioritization for soil conservation; a GIS approach. Geo Carto Int 1: 27-34.
17. Sinha D, Joshi VU (2012) Application of Universal Soil Loss Equation (USLE) to recently reclaimed badlands along the Adula and Mahalungi Rivers, Pravara Basin, Maharashtra. J Geol Soc India 80: 341-350.
18. Wang G, Gertner G, Fang S, Anderson AB (2003) Mapping multiple variables for predicting soil loss by geostatistical methods with TM images and a slope map. Photogramm Eng Remote Sens 69: 889-898.
19. Wilson JP, Gallant JC (1996) EROS: a grid-based program for estimating spatially distributed erosion indices. Comput Geosci 22(7): 707-712.
20. Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses: a guide to conservation planning. Agriculture Handbook no. 537. US Department of Agriculture, US Government Printing Office, Washington, DC.
21. Wu S, Li J, Huang G (2005) An evaluation of grid size uncertainty in empirical soil loss modeling with digital elevation models. Environ Model Assess 10(1): 33-42.
22. Yoshino K, Ishioka Y (2005) Guidelines for soil conservation towards integrated basin management for sustainable development: a new approach based on the assessment of soil loss risk using remote sensing and GIS. Paddy Water Environ 3: 235-247.