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Detection of high erosion risk areas and their incorporation into environmental impact assessment

Author

Listed:
  • Efrén Tarancón-Andrés

    (Department of Mechanical Engineering, University of La Rioja, Logroño, La Rioja, Spain)

  • Jacinto Santamaria-Peña

    (Department of Mechanical Engineering, University of La Rioja, Logroño, La Rioja, Spain)

  • David Arancón-Pérez

    (Department of Mechanical Engineering, University of La Rioja, Logroño, La Rioja, Spain)

  • Eduardo Martínez-Cámara
  • Julio Blanco-Fernández

    (Department of Mechanical Engineering, University of La Rioja, Logroño, La Rioja, Spain)

Abstract

Life Cycle Assessment (LCA) is normally used independently of the physical and temporal location of the product, process or service under analysis. This makes LCA results more easily comparable and globally accepted. At the same time, it has drawbacks though, e.g. land use will have the same impact regardless of location. However, the use of certain terrains in high erosion risk areas as compared to others in low erosion risk areas will have a different impact on the ecosystem. The availability of airborne Light Detection and Ranging (LiDAR) data (ALS) allows a quick and accurate morphogeometric analysis of any terrain. For this reason, this article offers a methodology, based on Revised Universal Soil Loss Equation (RUSLE) method and airborne LiDAR data, for the straightforward detection of zones with high vulnerability to erosion problems. Based on these local erosion risk data, a method is developed to assess the environmental impact of land use, based on its location. In this way, the LCA methodology is incorporated to gather local data, dependent on the specific location of the activity under analysis. The methodology developed has been applied, as a case study, to a specific municipality in the high mountains of the Autonomous Community of La Rioja (Spain).

Suggested Citation

  • Efrén Tarancón-Andrés & Jacinto Santamaria-Peña & David Arancón-Pérez & Eduardo Martínez-Cámara & Julio Blanco-Fernández, 2023. "Detection of high erosion risk areas and their incorporation into environmental impact assessment," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 18(2), pages 102-115.
    • Handle: RePEc:caa:jnlswr:v:18:y:2023:i:2:id:91-2022-swr
    DOI: 10.17221/91/2022-SWR
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    References listed on IDEAS

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    1. Gabriel Zsembinszki & Noelia Llantoy & Valeria Palomba & Andrea Frazzica & Mattia Dallapiccola & Federico Trentin & Luisa F. Cabeza, 2021. "Life Cycle Assessment (LCA) of an Innovative Compact Hybrid Electrical-Thermal Storage System for Residential Buildings in Mediterranean Climate," Sustainability, MDPI, vol. 13(9), pages 1-22, May.
    2. Alessandro Scuderi & Mariarita Cammarata & Ferdinando Branca & Giuseppe Timpanaro, 2021. "Agricultural production trends towards carbon neutrality in response to the EU 2030 Green Deal: Economic and environmental analysis in horticulture," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(11), pages 435-444.
    3. Raül Oorthuis & Jean Vaunat & Marcel Hürlimann & Antonio Lloret & José Moya & Càrol Puig-Polo & Alessandro Fraccica, 2020. "Slope Orientation and Vegetation Effects on Soil Thermo-Hydraulic Behavior. An Experimental Study," Sustainability, MDPI, vol. 13(1), pages 1-13, December.
    4. Emre Çomakli & Bülent Turgut, 2021. "Determining the effects of the forest stand age on the soil quality index in afforested areas: A case study in the Palandöken Mountains," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 16(4), pages 237-249.
    5. David Kabelka & David Kincl & Jan Vopravil & Petr Vráblík, 2021. "Impact of cover crops in inter-rows of hop gardens on reducing soil loss due to water erosion," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 67(4), pages 230-235.
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