GIS-Based Integrated Multi-Hazard Vulnerability Assessment in Makedonska Kamenica Municipality, North Macedonia

被引:3
作者
Aleksova, Bojana [1 ]
Milevski, Ivica [2 ]
Dragicevic, Slavoljub [3 ]
Lukic, Tin [4 ]
机构
[1] Maarif Int Sch Skopje Campus, Kiro Gligorov 5, Skopje 1000, North Macedonia
[2] St Cyril & Methodius Univ, Inst Geog, Fac Nat Sci & Math, Arhimedova 3, Skopje 1000, North Macedonia
[3] Univ Belgrade, Fac Geog, Dept Phys Geog, Studentski Trg 3-3, Belgrade 11000, Serbia
[4] Univ Novi Sad, Fac Sci, Dept Geog Tourism & Hotel Management, Trg Dositeja Obradovica 3, Novi Sad 21000, Serbia
关键词
natural hazards; multi-hazards; GIS spatial analysis; remote sensing; vulnerability assessment; Makedonska Kamenica; North Macedonia; LANDSLIDE-SUSCEPTIBILITY MAPS; EROSION POTENTIAL METHOD; SEDIMENT YIELD; CLIMATE-CHANGE; SOIL-EROSION; RAINFALL EROSIVITY; FREQUENCY RATIO; RIVER CATCHMENT; WATER EROSION; FLASH FLOODS;
D O I
10.3390/atmos15070774
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study presents a comprehensive analysis of natural hazard susceptibility in the Makedonska Kamenica municipality of North Macedonia, encompassing erosion assessment, landslides, flash floods, and forest fire vulnerability. Employing advanced GIS and remote sensing (RS) methodologies, hazard models were meticulously developed and integrated to discern areas facing concurrent vulnerabilities. Findings unveil substantial vulnerabilities prevalent across the area, notably along steep terrain gradients, river valleys, and deforested landscapes. Erosion assessment reveals elevated rates, with a mean erosion coefficient (Z) of 0.61 and an annual erosion production of 182,712.9 m3, equivalent to a specific erosion rate of 961.6 m3/km2/year. Landslide susceptibility analysis identifies 31.8% of the municipality exhibiting a very high probability of landslides, while flash flood susceptibility models depict 3.3% of the area prone to very high flash flood potential. Forest fire susceptibility mapping emphasizes slightly less than one-third of the municipality's forested area is highly or very highly susceptible to fires. Integration of these hazard models elucidates multi-hazard zones, revealing that 11.0% of the municipality's territory faces concurrent vulnerabilities from excessive erosion, landslides, flash floods, and forest fires. These zones are predominantly located in upstream areas, valleys of river tributaries, and the estuary region. The identification of multi-hazard zones underscores the critical need for targeted preventive measures and robust land management strategies to mitigate potential disasters and safeguard both human infrastructure and natural ecosystems. Recommendations include the implementation of enhanced monitoring systems, validation methodologies, and community engagement initiatives to bolster hazard preparedness and response capabilities effectively.
引用
收藏
页数:31
相关论文
共 50 条
  • [21] Multi-hazard assessment using machine learning and remote sensing in the North Central region of Vietnam
    Nguyen, Huu Duy
    Dang, Dinh-Kha
    Bui, Quang-Thanh
    Petrisor, Alexandru-Ionut
    TRANSACTIONS IN GIS, 2023, 27 (05) : 1614 - 1640
  • [22] Coastal multi-hazard vulnerability assessment along the Ganges deltaic coast of Bangladesh-A geospatial approach
    Islam, Md. Ashraful
    Mitra, Debashis
    Dewan, Ashraf
    Akhter, Syed Humayun
    OCEAN & COASTAL MANAGEMENT, 2016, 127 : 1 - 15
  • [23] Multi-hazard risk assessment of coastal municipalities of Oaxaca, Southwestern Mexico: An index based remote sensing and geospatial technique
    Godwyn-Paulson, P.
    Jonathan, M. P.
    Rodriguez-Espinosa, P. F.
    Rahaman, S. Abdul
    Roy, P. D.
    Muthusankar, G.
    Lakshumanan, C.
    INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2022, 77
  • [24] Hazard interaction analysis for multi-hazard risk assessment: a systematic classification based on hazard-forming environment
    Liu, Baoyin
    Siu, Yim Ling
    Mitchell, Gordon
    NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2016, 16 (02) : 629 - 642
  • [25] Flood vulnerability assessment using a GIS-based multi-criteria approach-The case of Attica region
    Feloni, Elissavet
    Mousadis, Ioannis
    Baltas, Evangelos
    JOURNAL OF FLOOD RISK MANAGEMENT, 2020, 13
  • [26] Landslide vulnerability and risk assessment for multi-hazard scenarios using airborne laser scanning data (LiDAR)
    Waleed M. Abdulwahid
    Biswajeet Pradhan
    Landslides, 2017, 14 : 1057 - 1076
  • [27] Rapid visual screening methodology for multi-hazard vulnerability assessment of reinforced concrete buildings in hilly region
    Kulariya, Mahipal
    Aggarwal, Yati
    Kashyap, Harsha
    Saha, Sandip Kumar
    BULLETIN OF EARTHQUAKE ENGINEERING, 2024,
  • [28] Remote sensing and GIS-based Flood Vulnerability Assessment in Jiangzi Province in China
    Chen, Ping
    Chen, Xiaoling
    2008 INTERNATIONAL WORKSHOP ON EDUCATION TECHNOLOGY AND TRAINING AND 2008 INTERNATIONAL WORKSHOP ON GEOSCIENCE AND REMOTE SENSING, VOL 2, PROCEEDINGS,, 2009, : 332 - 335
  • [29] GIS-Based Multi-Criteria Approach for Flood Vulnerability Assessment and Mapping in District Shangla: Khyber Pakhtunkhwa, Pakistan
    Hussain, Muhammad
    Tayyab, Muhammad
    Zhang, Jiquan
    Shah, Ashfaq Ahmad
    Ullah, Kashif
    Mehmood, Ummer
    Al-Shaibah, Bazel
    SUSTAINABILITY, 2021, 13 (06)
  • [30] A GIS-Based Assessment of Vulnerability to Aeolian Desertification in the Source Areas of the Yangtze and Yellow Rivers
    Ren, Xiaobin
    Dong, Zhibao
    Hu, Guangyin
    Zhang, Donghai
    Li, Qing
    REMOTE SENSING, 2016, 8 (08)