prikaz prve stranice dokumenta Infiltration Efficiency Index for GIS Analysis Using Very-High-Spatial-Resolution Data
  Download
PDF 26.2 MB
Scientific paper - Original scientific paper
Infiltration Efficiency Index for GIS Analysis Using Very-High-Spatial-Resolution Data
Sustainability, 15 (2023), 21; 15563. https://doi.org/10.3390/su152115563
Šiljeg, Ante; Panđa, Lovre; Marinović, Rajko; Krvavica, Nino; Domazetović, Fran; Jurišić, Mladen; Radočaj, Dorijan

Citations:
,
Cite this document

Šiljeg, A., Panđa, L., Marinović, R., Krvavica, N., Domazetović, F., Jurišić, M. & Radočaj, D. (2023). Infiltration Efficiency Index for GIS Analysis Using Very-High-Spatial-Resolution Data. Sustainability, 15. (21). doi: 10.3390/su152115563

Šiljeg, Ante, et al. "Infiltration Efficiency Index for GIS Analysis Using Very-High-Spatial-Resolution Data." Sustainability, vol. 15, no. 21, 2023. https://doi.org/10.3390/su152115563

Šiljeg, Ante, Lovre Panđa, Rajko Marinović, Nino Krvavica, Fran Domazetović, Mladen Jurišić and Dorijan Radočaj. "Infiltration Efficiency Index for GIS Analysis Using Very-High-Spatial-Resolution Data." Sustainability 15, no. 21 (2023). https://doi.org/10.3390/su152115563

Šiljeg, A., et al. (2023) 'Infiltration Efficiency Index for GIS Analysis Using Very-High-Spatial-Resolution Data', Sustainability, 15(21). doi: 10.3390/su152115563

Šiljeg A, Panđa L, Marinović R, Krvavica N, Domazetović F, Jurišić M, and sur.. Infiltration Efficiency Index for GIS Analysis Using Very-High-Spatial-Resolution Data. Sustainability [Internet]. 2023 November 02 [cited 2025 April 08];15(21). doi: 10.3390/su152115563

A. Šiljeg, et al., "Infiltration Efficiency Index for GIS Analysis Using Very-High-Spatial-Resolution Data", Sustainability, vol. 15, no. 21, November 2023. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:157:041616. [Accessed: 08 April 2025]

Please login to the repository to save this object to your list.
Metadata
Title (english)Infiltration Efficiency Index for GIS Analysis Using Very-High-Spatial-Resolution Data
AuthorAnte Šiljeg
AuthorLovre Panđa
AuthorRajko Marinović
AuthorNino Krvavica
AuthorFran Domazetović
AuthorMladen Jurišić
AuthorDorijan Radočaj
Author's institutionUniversity of Rijeka
Faculty of Civil Engineering
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Civil Engineering
Hydrotechnology
Abstract (english)
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... More 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. Less
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleSustainability
Numberingvol. 15, no. 21, 15563
e-ISSN2071-1050
DOIhttps://doi.org/10.3390/su152115563
URN:NBNurn:nbn:hr:157:041616
Publication2023-11-02
ProjectNumber: STREAM
Title (english): STREAM - Strategic Development of Flood Management
Acronym: STREAM
Jurisdiction: eu
Document URLhttps://www.mdpi.com/2071-1050/15/21/15563
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2025-03-26 14:01:47
accessibility

closeAccessibilityrefresh

If you wish to permanently save changes, click on Save, if not - your settings will be reset when you restart the browser.