Analysis of Environmental Vulnerability in The Landslide Areas (Case Study: Semarang Regency)

被引:1
|
作者
Hani'ah [1 ]
Firdaus, H. S. [1 ]
Nugraha, A. L. [1 ]
机构
[1] Diponegoro Univ, Fac Engn, Geodesy Engn Dept, Tembalang Semarang 50277, Indonesia
关键词
Environmental Vulnerability; Landslide; Landsat; 8; NDVI;
D O I
10.1088/1755-1315/98/1/012013
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Land conversion can increase the risk of landslide disaster in Semarang Regency caused by human activity. Remote sensing and geographic information system to be used in this study to mapping the landslide areas because satellite image data can represent the object on the earth surface in wide area coverage. Satellite image Landsat 8 is used to mapping land cover that processed by supervised classification method. The parameters to mapping landslide areas are based on land cover, rainfall, slope, geological factors and soil types. Semarang Regency have the minimum value of landslide is 1.6 and the maximum value is 4.3, which is dominated by landslide prone areas about 791.27 km(2). The calculation of the environmental vulnerability index in the study area is based on Perka BNPB No. 2/2012. Accumulation score of environmental vulnerability index is moderate value, that means environment condition must be considered, such as vegetation as ground cover and many others aspects. The range of NDVI value shows that density level in conservation areas (0.030 - 0.844) and conservation forest (0.045 - 0.849), which rarely until high density level. The results of this study furthermore can be assessed to reduce disaster risks from landslide as an effort of disaster preventive.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] Use of hazard and vulnerability maps for landslide planning scenarios: a case study of the Nilgiris, India
    Ganapathy, Ganapathy Pattukandan
    Rajawat, Ajay S.
    NATURAL HAZARDS, 2015, 77 (01) : 305 - 316
  • [42] Geotechnical Investigation and Numerical Analysis of Slope Failure: A Case Study of Landslide Vulnerability Zone in Kolli Hills, Tamil Nadu
    Kumar, M.
    Krishnaveni, V.
    Muthukumar, Surya
    JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA, 2021, 97 (05) : 513 - 519
  • [43] Use of hazard and vulnerability maps for landslide planning scenarios: a case study of the Nilgiris, India
    Ganapathy Pattukandan Ganapathy
    Ajay S. Rajawat
    Natural Hazards, 2015, 77 : 305 - 316
  • [44] Landslide Hazards in Reservoir Areas: Case Study of Xiangjiaba Reservoir, Southwest China
    Iqbal, Javed
    Tu, Xinbin
    Xu, Ling
    NATURAL HAZARDS REVIEW, 2017, 18 (04)
  • [45] ENVIRONMENTAL AND SOCIAL VULNERABILITY: A CASE STUDY IN SALES-SP
    Silva, C. A. F.
    Malafaia, G.
    Veiga, B. G. A.
    Castro, A. L. A.
    HOLOS, 2012, 28 (04) : 45 - 54
  • [46] THE PROFITABILITY ANALYSIS OF DAIRY CATTLE BUSINESS ON THE GROUP OF DAIRY FARMERS IN WEST UNGARAN DISTRICT SEMARANG REGENCY
    Dolewikou, R. L.
    Sumekar, W.
    Setiadi, A.
    JOURNAL OF THE INDONESIAN TROPICAL ANIMAL AGRICULTURE, 2016, 41 (04) : 216 - 223
  • [47] Identification of landslide potential in Gajahmungkur village Semarang using ground shear strain analysis
    Khumaedi
    Putra, N. M. D.
    Fikriyah, A. Z.
    UNNES PHYSICS INTERNATIONAL SYMPOSIUM 2018 (UPIS2018), 2019, 1170
  • [48] Regional Landslide Potential Mapping in Earthquake-Prone Areas of Kepahiang Regency, Bengkulu Province, Indonesia
    Hadi, Arif Ismul
    Brotopuspito, Kirbani Sri
    Pramumijoyo, Subagyo
    Hardiyatmo, Hary Christady
    GEOSCIENCES, 2018, 8 (06)
  • [49] Modeling vulnerability density of landslide using IFSAR DEM in Manuju and Bungaya District Gowa Regency, South Sulawesi
    Eden, Johan T.
    Alimuddin, Ilham
    Azikin, Busthan
    FIFTH INTERNATIONAL CONFERENCES OF INDONESIAN SOCIETY FOR REMOTE SENSING: THE REVOLUTION OF EARTH OBSERVATION FOR A BETTER HUMAN LIFE, 2020, 500
  • [50] Deep learning algorithms based landslide vulnerability modeling in highly landslide prone areas of Tamil Nadu, India
    Saha, Sunil
    Barman, Aparna
    Saha, Anik
    Hembram, Tusar K.
    Pradhan, Biswajeet
    Alamri, Abdullah
    GEOSCIENCES JOURNAL, 2024, 28 (06) : 1013 - 1038