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Comparing Hydric Erosion Soil Loss Models in Rainy Mountainous and Dry Flat Regions in Portugal

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  • Lia Duarte

    (Department of Geosciences, Environment and Land Planning, Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal
    ICT–Institute of Earth Sciences, Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal)

  • Mário Cunha

    (Department of Geosciences, Environment and Land Planning, Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal
    Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Campus da Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal)

  • Ana Cláudia Teodoro

    (Department of Geosciences, Environment and Land Planning, Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal
    ICT–Institute of Earth Sciences, Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal)

Abstract

Soil erosion is a severe and complex issue in the agriculture area. The main objective of this study was to assess the soil loss in two regions, testing different methodologies and combining different factors of the Revised Universal Soil Loss Equation (RUSLE) based on Geographical Information Systems (GIS). To provide the methodologies to other users, a GIS open-source application was developed. The RUSLE equation was applied with the variation of some factors that compose it, namely the slope length and slope steepness (LS) factor and practices factor (P), but also with the use of different sources of information. Eight different erosion models (M1 to M8) were applied to the two regions with different ecological conditions: Montalegre (rainy-mountainous) and Alentejo (dry-flat), both in Portugal, to compare them and to evaluate the soil loss for 3 potential erosion levels: 0–25, 25–50 and >50 ton/ha·year. Regarding the methodologies, in both regions the behavior is similar, indicating that the M5 and M6 methodologies can be more conservative than the others (M1, M2, M3, M4 and M8), which present very consistent values in all classes of soil loss and for both regions. All methodologies were implemented in a GIS application, which is free and available under QGIS software.

Suggested Citation

  • Lia Duarte & Mário Cunha & Ana Cláudia Teodoro, 2021. "Comparing Hydric Erosion Soil Loss Models in Rainy Mountainous and Dry Flat Regions in Portugal," Land, MDPI, vol. 10(6), pages 1-18, May.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:6:p:554-:d:561608
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    References listed on IDEAS

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    1. Nirmal Kumar & Sudhir Kumar Singh, 2021. "Soil erosion assessment using earth observation data in a trans-boundary river basin," 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. 107(1), pages 1-34, May.
    2. I. Rellini & C. Scopesi & S. Olivari & M. Firpo & M. Maerker, 2019. "Assessment of soil erosion risk in a typical Mediterranean environment using a high resolution RUSLE approach (Portofino promontory, NW-Italy)," Journal of Maps, Taylor & Francis Journals, vol. 15(2), pages 356-362, July.
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    Cited by:

    1. Valentina Santarsiero & Antonio Lanorte & Gabriele Nolè & Giuseppe Cillis & Biagio Tucci & Beniamino Murgante, 2023. "Analysis of the Effect of Soil Erosion in Abandoned Agricultural Areas: The Case of NE Area of Basilicata Region (Southern Italy)," Land, MDPI, vol. 12(3), pages 1-22, March.
    2. Caterina Samela & Vito Imbrenda & Rosa Coluzzi & Letizia Pace & Tiziana Simoniello & Maria Lanfredi, 2022. "Multi-Decadal Assessment of Soil Loss in a Mediterranean Region Characterized by Contrasting Local Climates," Land, MDPI, vol. 11(7), pages 1-25, July.

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