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

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Abstract

The Universal Soil Loss Equation (USLE) is an erosion estimation model to assess the soil losses that would generally result from splash, sheet, and rill erosion. At the present study, spatial distribution of different erosion prone areas were identified by USLE model to determine the average annual soil losses at Mashhad plain, northeast of Iran. Soil losses were estimated on a 100 × 100 m cell basis resolution by overlaying the five digital parameter layers (R, K, LS, C, P). To determine the critical soil loss regions at the plain, cell-based USLE parameters were multiplied by Arc-GIS ver.9.3. The estimated annual soil losses values were subsequently grouped into five classes ranging from 0 to 0.25 t/h/year around the trough line of the plain at Kashaf-rud River to 2–10 t/ha/year at the hills and pediment plains. Our results indicated a good correlation between land units of hills and pediment plains with the values of soil losses at the study area (R 2 = 0.72), also the statistical analysis exhibited a high correlation between land use/cover of dry farming and soil losses (R 2 = 0.78).

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References

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Google Scholar 

  • Eedy W (1995) The use of GIS in environmental assessment. Impact Assess 13:199–206

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Jain MK, Kothyari UC (2000) Estimation of soil erosion and sediment yield using GIS. Hydrol Sci J 45(5):771–786

    Article  Google Scholar 

  • Jain SK, Kumar S, Varghese J (2001) Estimation of soil erosion for a Himalayan watershed using GIS technique. Water Resour Manag 15:41–54

    Article  Google Scholar 

  • Julien PY, Gonzales del Tanago M (1991) Spatially varied soil erosion under different climates. Hydrol Sci J 36(6):511–524

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Kothyari UC, Jain SK (1997) Sediment yield estimation using GIS. Hydrol Sci J 42(6):833–843

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Morgan RPC, Davidson DA (1991) Soil erosion and conservation. Longman Group, UK

    Google Scholar 

  • Onyando JO, Kisoyan P, Chemelil MC (2005) Estimation of potential soil erosion for river perkerra catchment in Kenya. Water Resour Manag 19:133–143

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Sharda D, Ravi Kumar MV, Venkatatatnam L, Rao M (1993) Watershed prioritization for soil conservation; a GIS approach. Geo Carto Int 1:27–34

    Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Wilson JP, Gallant JC (1996) EROS: a grid-based program for estimating spatially distributed erosion indices. Comput Geosci 22(7):707–712

    Article  Google Scholar 

  • 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

    Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

Download references

Acknowledgment

I thank Islamic Azad University, Mashhad Branch for their support of the project. Thanks also due to Dr. Mohammad Reza Mansouri Daneshvar for suggestions on data analyses and interpretations.

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Correspondence to Ali Bagherzadeh.

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Bagherzadeh, A. Estimation of soil losses by USLE model using GIS at Mashhad plain, Northeast of Iran. Arab J Geosci 7, 211–220 (2014). https://doi.org/10.1007/s12517-012-0730-3

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  • DOI: https://doi.org/10.1007/s12517-012-0730-3

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