Severity-Based Mapping of Land-Subsidence Hazard Zones and Critical Hotspots Using SBAS-InSAR and Spatial Statistics: The Konya Metropolitan Area, Turkey

MakaleAçık Erişim
  • SDG 6 · Temiz Su ve Sanitasyon
  • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
  • SDG 15 · Karasal Yaşam

Özet

Land subsidence induced by excessive groundwater withdrawal has become one of the most significant geohazards affecting the Konya Closed Basin, Turkey. Although previous studies have successfully monitored ground deformation using geodetic and remote sensing techniques, limited attention has been devoted to transforming deformation measurements into quantitative, spatially classified hazard information. This study presents a severity-based framework for delineating land-subsidence hazard zones and critical hotspots in the Konya metropolitan area by integrating SBAS-InSAR observations and spatial statistical analyses. A total of 82 Sentinel-1 SAR acquisitions (41 ascending and 41 descending images) acquired between January 2023 and May 2026 were processed using the Small Baseline Subset (SBAS) technique. Ascending and descending line-of-sight deformation measurements were combined to derive vertical deformation rates, which were integrated with spatial statistical indicators and a composite severity index to quantify deformation clustering and classify subsidence severity. Hazard zones and critical hotspot areas were delineated through severity-based classification and spatial connectivity analyses. The results reveal a continuous north–south-oriented subsidence deformation belt extending across the eastern Konya. Maximum vertical subsidence rates exceeded 230 mm/yr, while spatial statistical analyses confirmed strongly clustered and statistically significant deformation patterns. Severity-based hazard zonation identified four hazard classes and a continuous high-hazard corridor. Clustering analysis further identified a dominant hotspot belt covering approximately 160 km2, with mean subsidence rates of approximately 142 mm/yr. A sensitivity analysis of the composite severity index weighting scheme, the spatial statistical neighborhood distance, the DBSCAN clustering parameters, and the number of Jenks severity classes confirmed that the resulting hazard zones and critical hotspot belt are robust to reasonable parameter variations. The findings demonstrate that land subsidence in Konya is organized as a spatially continuous regional-scale deformation system rather than a collection of isolated subsidence centers. The proposed framework transforms InSAR-derived deformation measurements into quantitative, decision-support hazard information and provides a transferable methodology for land-subsidence hazard assessment in groundwater-stressed urban environments.

Anahtar Kelimeler

RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/gumushane/13897Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.3390/rs18162729Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorYalvac, Sefa
dc.contributor.authorBjelotomić Oršulić, Olga
dc.date.accessioned2026-10-22T10:21:55.857317066Z
dc.date.available2026-10-22T10:21:55.857317066Z
dc.date.issued2026
dc.description.abstractLand subsidence induced by excessive groundwater withdrawal has become one of the most significant geohazards affecting the Konya Closed Basin, Turkey. Although previous studies have successfully monitored ground deformation using geodetic and remote sensing techniques, limited attention has been devoted to transforming deformation measurements into quantitative, spatially classified hazard information. This study presents a severity-based framework for delineating land-subsidence hazard zones and critical hotspots in the Konya metropolitan area by integrating SBAS-InSAR observations and spatial statistical analyses. A total of 82 Sentinel-1 SAR acquisitions (41 ascending and 41 descending images) acquired between January 2023 and May 2026 were processed using the Small Baseline Subset (SBAS) technique. Ascending and descending line-of-sight deformation measurements were combined to derive vertical deformation rates, which were integrated with spatial statistical indicators and a composite severity index to quantify deformation clustering and classify subsidence severity. Hazard zones and critical hotspot areas were delineated through severity-based classification and spatial connectivity analyses. The results reveal a continuous north–south-oriented subsidence deformation belt extending across the eastern Konya. Maximum vertical subsidence rates exceeded 230 mm/yr, while spatial statistical analyses confirmed strongly clustered and statistically significant deformation patterns. Severity-based hazard zonation identified four hazard classes and a continuous high-hazard corridor. Clustering analysis further identified a dominant hotspot belt covering approximately 160 km2, with mean subsidence rates of approximately 142 mm/yr. A sensitivity analysis of the composite severity index weighting scheme, the spatial statistical neighborhood distance, the DBSCAN clustering parameters, and the number of Jenks severity classes confirmed that the resulting hazard zones and critical hotspot belt are robust to reasonable parameter variations. The findings demonstrate that land subsidence in Konya is organized as a spatially continuous regional-scale deformation system rather than a collection of isolated subsidence centers. The proposed framework transforms InSAR-derived deformation measurements into quantitative, decision-support hazard information and provides a transferable methodology for land-subsidence hazard assessment in groundwater-stressed urban environments.
dc.description.sponsorshipUniversity of North, (IP-UNIN-TEH-2025-4)
dc.identifier.articlenumber2729
dc.identifier.doi10.3390/rs18162729
dc.identifier.eissn2072-4292
dc.identifier.issn2072-4292
dc.identifier.issue16
dc.identifier.scopus2-s2.0-105048749344
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/gumushane/13897
dc.identifier.volume18
dc.identifier.wosWOS:001860260100001
dc.language.isoen
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.relation.ispartofRemote Sensing
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectGetis–Ord Gi
dc.subjectgroundwater withdrawal
dc.subjecthotspot analysis
dc.subjectKonya Closed Basin
dc.subjectland subsidence
dc.subjectlocal Moran’s I
dc.subjectSBASInSAR
dc.subjectSentinel-1
dc.subject.classificationEnvironmental Sciences
dc.subject.classificationGeosciences, Multidisciplinary
dc.subject.classificationRemote Sensing
dc.subject.classificationImaging Science & Photographic Technology
dc.subject.classificationEnvironmental Sciences & Ecology
dc.subject.classificationGeology
dc.subject.otherGroundwater
dc.subject.otherHazards
dc.subject.otherRemote sensing
dc.subject.otherSpatial variables measurement
dc.subject.otherStatistics
dc.subject.otherSubsidence
dc.subject.otherGetis–ord gi
dc.subject.otherGroundwater withdrawal
dc.subject.otherHazard zones
dc.subject.otherHotspot analyze
dc.subject.otherHotspots
dc.subject.otherKonya closed basins
dc.subject.otherLand subsidence
dc.subject.otherLocal moran’s I
dc.subject.otherSBASInSAR
dc.subject.otherSentinel-1
dc.subject.otherDecision support systems
dc.subject.otherSensitivity analysis
dc.titleSeverity-Based Mapping of Land-Subsidence Hazard Zones and Critical Hotspots Using SBAS-InSAR and Spatial Statistics: The Konya Metropolitan Area, Turkey
dc.typeArticle
dspace.entity.typePublication
rdl.citation.openalex0
rdl.citation.scopus0
rdl.citation.wos0
rdl.oa.statusgold
rdl.oa.urlhttps://doi.org/10.3390/rs18162729
rdl.sdgSDG11
rdl.sdgSDG06
rdl.sdgSDG15
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)