Natural Hazards

, Volume 91, Issue 1, pp 221–238 | Cite as

Investigation of RS and GIS techniques on MPSIAC model to estimate soil erosion

  • Hamed Noori
  • Hojat Karami
  • Saeed Farzin
  • Seyed Mostafa Siadatmousavi
  • Barat Mojaradi
  • Ozgur Kisi
Original Paper


Soil erosion due to surface water is a standout among the serious threat land degradation problem and an hazard environmental destruction. The first stage for every kind of soil conservation planning is recognition of soil erosion status. In this research, the usability of two new techniques remote sensing and geographical information system was assessed to estimate the average annual specific sediments production and the intensity erosion map at two sub-basins of DEZ watershed, southwest of Lorestan Province, Iran, namely Absorkh and Keshvar sub-basins with 19,920 ha, using Modified Pacific Southwest Inter-Agency Committee (MPSIAC) soil erosion model. At the stage of imagery data processing of IRS-P6 satellite, the result showed that an overall accuracy and kappa coefficient were 90.3% and 0.901, respectively, which were considered acceptable or good for imagery data. According to our investigation, the study area can be categorized into three level of severity of erosion: moderate, high, and very high erosion zones. The amount of specific sediments and soil erosion predicted by MPSIAC model was 1374.656 and 2396.574 m3 km−2 year−1, respectively. The areas situated at the center and south parts of the watershed were subjected to significant erosion because of the geology formation and ground cover, while the area at the north parts was relatively less eroded due to intensive land cover. Based on effective of nine factors, the driving factors from high to low impact included: Topography > Land use > Upland erosion > Channel erosion > Climate > Ground cover > Soil > Runoff > Surface geology. The measured sediment yield of the watershed in the hydrometric station (Keshvar station) was approximately 2223.178 m3 km−2 year−1 and comparison of the amount of total sediment yield predicted by model with the measured sediment yield indicated that the MPSIAC model 38% underestimated the observed value of the watershed.


Soil erosion Sediment yield Land use RS GIS MPSIAC 


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Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2017

Authors and Affiliations

  • Hamed Noori
    • 1
  • Hojat Karami
    • 1
  • Saeed Farzin
    • 1
  • Seyed Mostafa Siadatmousavi
    • 2
  • Barat Mojaradi
    • 2
  • Ozgur Kisi
    • 3
  1. 1.Faculty of Civil EngineeringSemnan UniversitySemnanIran
  2. 2.Faculty of Civil and Environmental EngineeringIran University of Science and TechnologyTehranIran
  3. 3.Faculty of Natural Sciences and EngineeringIlia State UniversityTbilisiGeorgia

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