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Sediment yield and soil erosion assessment by using empirical models for Shazand watershed, a semi-arid area in center of Iran

Author

Listed:
  • Ali M. Rajabi

    (University of Tehran)

  • A. Yavari

    (University of Qom
    Isfahan Water and Waste Water Company)

  • A. Cheshomi

    (University of Tehran)

Abstract

Today, the assessment of erosion and sediment yield of catchments is among the fundamental issues in water resources management and environmental problems in developing countries. In this regard, empirical methods have received much more interest than other methods due to the lack of reliable hydrometric and partially precise data, especially for long periods of time. In this paper, the intensity of soil erosion and sediment yield is assessed using Modified Pacific Southwest Inter-Agency Committee (MPSIAC) and Erosion Potential Method (EPM) models in Shazand basin (one of the sub-basins of Saveh dam in the center of Iran) and is compared with the hydrometric method. For this purpose, the study area was simulated with the Geographic Information System (GIS) and Remote Sensing (RS) techniques using the basic 10 m × 10 m cell size maps. The required parameters for MPSIAC and EPM models were defined in ArcGIS 10.2 and Envi 5.1. Then, soil erosion zonation map and sediment yield value were obtained by 2 models and validated by hydrometric outputs. The results of MPSIAC model show that sediment yield in Pol-e Doab, Bazaneh, Tureh and Azna stations are 365,493.26, 47,879.56, 46,291.95 and 40,005.25 tons per year, respectively, while using EPM model they are 288,103.81, 18,963.83, 43,079.2, and 20,583.76 tons per year, respectively. The comparison between MPSIAC model and hydrometric results in Pol-e Doab, Tureh, and Shazand shows agreement levels of 91, 73 and 94%, respectively, and 100% incompatibility in Bazaneh station. In comparison, the difference between EPM model and hydrometric results in Pol-e doab, Bazaneh, Tureh and Shazand stations shows agreement levels of 86, 82, 48 and 79%, respectively. Based on the obtained results, EPM model has higher compatibility in maximum sediment yield prediction, whereas MPSIAC model shows a better ability to create soil erosion zonation mapping with 10 m × 10 m cell size accuracy.

Suggested Citation

  • Ali M. Rajabi & A. Yavari & A. Cheshomi, 2022. "Sediment yield and soil erosion assessment by using empirical models for Shazand watershed, a semi-arid area in center of Iran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(2), pages 1685-1704, June.
    • Handle: RePEc:spr:nathaz:v:112:y:2022:i:2:d:10.1007_s11069-022-05244-8
    DOI: 10.1007/s11069-022-05244-8
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    References listed on IDEAS

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    1. Abdol Rassoul Zarei & Marzieh Mokarram & Ali Shabani, 2019. "Evaluation of sediment yield (Q s ) in Bishezard watershed located southwest of Iran, using PSIAC and MPSIAC models," International Journal of Global Environmental Issues, Inderscience Enterprises Ltd, vol. 18(1), pages 1-23.
    2. Manoj Jain & Debjyoti Das, 2010. "Estimation of Sediment Yield and Areas of Soil Erosion and Deposition for Watershed Prioritization using GIS and Remote Sensing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(10), pages 2091-2112, August.
    3. Hamed Noori & Hojat Karami & Saeed Farzin & Seyed Mostafa Siadatmousavi & Barat Mojaradi & Ozgur Kisi, 2018. "Investigation of RS and GIS techniques on MPSIAC model to estimate soil erosion," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(1), pages 221-238, March.
    4. Fabing Xie & Guangju Zhao & Xingmin Mu & Peng Tian & Peng Gao & Wenyi Sun, 2021. "Sediment Yield in Dam-Controlled Watersheds in the Pisha Sandstone Region on the Northern Loess Plateau, China," Land, MDPI, vol. 10(11), pages 1-17, November.
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