IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i21p15563-d1273017.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/21/15563/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/21/15563/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gean Carlos Gonzaga da Silva & Priscila Celebrini de Oliveira Campos & Marcelo de Miranda Reis & Igor Paz, 2023. "Spatiotemporal Land Use and Land Cover Changes and Associated Runoff Impact in Itaperuna, Brazil," Sustainability, MDPI, vol. 16(1), pages 1-19, December.
    2. Tong Xu & Zhiqiang Xie & Fei Zhao & Yimin Li & Shouquan Yang & Yangbin Zhang & Siqiao Yin & Shi Chen & Xuan Li & Sidong Zhao & Zhiqun Hou, 2022. "Permeability control and flood risk assessment of urban underlying surface: a case study of Runcheng south area, Kunming," 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. 111(1), pages 661-686, March.
    3. Huaibin Wei & Liyuan Zhang & Jing Liu, 2022. "Hydrodynamic Modelling and Flood Risk Analysis of Urban Catchments under Multiple Scenarios: A Case Study of Dongfeng Canal District, Zhengzhou," IJERPH, MDPI, vol. 19(22), pages 1-18, November.
    4. Aboubakar Gasirabo & Chen Xi & Baligira R. Hamad & Umwali Dufatanye Edovia, 2023. "A CA–Markov-Based Simulation and Prediction of LULC Changes over the Nyabarongo River Basin, Rwanda," Land, MDPI, vol. 12(9), pages 1-20, September.
    5. Samith Madusanka & Chethika Abenayake & Amila Jayasinghe & Chaminda Perera, 2022. "A Decision-Making Tool for Urban Planners: A Framework to Model the Interdependency among Land Use, Accessibility, Density, and Surface Runoff in Urban Areas," Sustainability, MDPI, vol. 14(1), pages 1-19, January.
    6. Engdawork Assefa, 2024. "Urban Land Use Trend and Drivers over the Last Three Decades in Addis Ababa and Impacts to the Sustainable Land Management," Journal of Sustainable Development, Canadian Center of Science and Education, vol. 17(1), pages 119-119, January.
    7. Xiaoli Du & Mingzhe Yang & Zijie Yin & Xing Fang, 2023. "Influence of Initial Abstraction Ratios in NRCS-CN Model on Runoff Estimation of Permeable Brick Pavement Affected by Clogging," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(8), pages 3211-3225, June.
    8. Pengcheng Zhong & Yueyi Liu & Hang Zheng & Jianshi Zhao, 2024. "Detection of Urban Flood Inundation from Traffic Images Using Deep Learning Methods," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(1), pages 287-301, January.
    9. Alessio Gatto & Stefano Clò & Federico Martellozzo & Samuele Segoni, 2023. "Tracking a Decade of Hydrogeological Emergencies in Italian Municipalities," Data, MDPI, vol. 8(10), pages 1-11, October.
    10. Haiqiang Liu & Zhiheng Zhou & Qiang Wen & Jinyuan Chen & Shoichi Kojima, 2024. "Spatiotemporal Land Use/Land Cover Changes and Impact on Urban Thermal Environments: Analyzing Cool Island Intensity Variations," Sustainability, MDPI, vol. 16(8), pages 1-22, April.
    11. Chaowei Xu & Hao Fu & Jiashuai Yang & Lingyue Wang, 2022. "Assessment of the Relationship between Land Use and Flood Risk Based on a Coupled Hydrological–Hydraulic Model: A Case Study of Zhaojue River Basin in Southwestern China," Land, MDPI, vol. 11(8), pages 1-24, July.
    12. Maqsood Mansur & Julia Hopkins & Qin Chen, 2023. "Estuarine response to storm surge and sea-level rise associated with channel deepening: a flood vulnerability assessment of southwest Louisiana, USA," 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. 116(3), pages 3879-3897, April.
    13. Fatemeh Yavari & Seyyed Ali Salehi Neyshabouri & Jafar Yazdi & Amir Molajou & Adam Brysiewicz, 2022. "A Novel Framework for Urban Flood damage Assessment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(6), pages 1991-2011, April.
    14. Liqiang An & Jingfa Zhang, 2022. "Impact of Urbanization on Seismic Risk: A Study Based on Remote Sensing Data," Sustainability, MDPI, vol. 14(10), pages 1-25, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:21:p:15563-:d:1273017. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.