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Infiltration Efficiency Index for GIS Analysis Using Very-High-Spatial-Resolution Data

Author

Listed:
  • Ante Šiljeg

    (Department of Geography, University of Zadar, 23000 Zadar, Croatia)

  • Lovre Panđa

    (Department of Geography, University of Zadar, 23000 Zadar, Croatia)

  • Rajko Marinović

    (Department of Geography, University of Zadar, 23000 Zadar, Croatia)

  • Nino Krvavica

    (Faculty of Civil Engineering, University of Rijeka, 51000 Rijeka, Croatia)

  • Fran Domazetović

    (Department of Geography, University of Zadar, 23000 Zadar, Croatia)

  • Mladen Jurišić

    (Faculty of Agrobiotechnical Sciences, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia)

  • Dorijan Radočaj

    (Faculty of Agrobiotechnical Sciences, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia)

Abstract

Infiltration models and impervious surface models have gained significant attention in recent years as crucial tools in urban and environmental planning, to assess the extent of land-surface changes and their impacts on hydrological processes. These models are important for understanding the hydrological dynamics and ecological impacts of urbanization and for the improvement of sustainable land-use planning and stormwater-management strategies. Due to the fact that many authors partially or entirely overlook the significance of the infiltration process in geographic information system (GIS) analyses, there is currently no universally accepted method for creating an infiltration model that is suitable for GIS multicriteria decision analysis (GIS-MCDA). This research paper presents an innovative approach to modeling the infiltration-efficiency index (IEI) for GIS analysis, with a focus on achieving high-quality results. The proposed methodology integrates very-high-resolution (VHR) remote-sensing data, GIS-MCDA, and statistical methods. The methodology was tested and demonstrated on a small sub-catchment in Metković, Croatia. The study developed a VHR IEI model from six specific criteria that produced values between 0 and 0.71. The model revealed that 14.89% of the research area is covered by impervious surfaces. This percentage is relatively favorable when compared to urban areas globally. The majority of the research area (62.79%) has good infiltration efficiency. These areas are predominantly characterized by agricultural land use, encompassing orchards, tangerines, olive groves, vineyards, and a diverse range of low-lying and high vegetation on flat terrain. The IEI model can provide input spatial data for high-resolution GIS analysis of hydrological processes. This model will aid decision-makers in stormwater-management, flood-risk assessment, land-use planning, and the design of green infrastructure. By utilizing the information derived from this study, policymakers can make informed decisions to mitigate flooding risks and promote sustainable urban development.

Suggested Citation

  • Ante Šiljeg & Lovre Panđa & Rajko Marinović & Nino Krvavica & Fran Domazetović & Mladen Jurišić & Dorijan Radočaj, 2023. "Infiltration Efficiency Index for GIS Analysis Using Very-High-Spatial-Resolution Data," Sustainability, MDPI, vol. 15(21), pages 1-28, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:21:p:15563-:d:1273017
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    References listed on IDEAS

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    1. Boyu Feng & Ying Zhang & Robin Bourke, 2021. "Urbanization impacts on flood risks based on urban growth data and coupled flood models," 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. 106(1), pages 613-627, March.
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