VULNERABILITY ANALYSIS OF FOREST AND LAND FIRE IN MOUNTAINEERING ROUTES OF MOUNT MERBABU, SINDORO AND SUMBING, CENTRAL JAVA

  • Novia Mawar Sari Magister Manajemen Bencana, Jurusan Teknik Lingkungan, Fakultas Teknologi Mineral, Universitas Pembangunan Nasional Veteran Yogyakarta
  • I Putu Gema Bujangga Waisnawa Universitas Pembangunan Nasional Veteran Yogyakarta
Keywords: Forest Fire, National Park, Economic Vulnerability, Environmental Vulnerability, Vulnerability Index

Abstract

Forest and land fires are  recurring disasters in Indonesia which can cause severe damage to the forest and land. Factors that cause forest and land fires usually influenced by natural conditions such as land cover conditions, soil types, and climatic factor such as the El-Nino phenomenon which can cause long drought, affecting vegetations  and have the potential to catch fire when exposed to fire. Human factors such as negligence in activities, in other hand  can also cause forest and land fire. Vulnerability analysis in this research is carried out spatially by combining all the components that make up the vulnerability, where each component of the vulnerability is also obtained from the results of combining several parameters. This research is directed to examine the vulnerability in the research area (the climbing route of Mount Merbabu, Sindoro and Sumbing) and draw conclusions in terms of Potential Economic Losses, Potential Environmental Losses and Vulnerability Classes in the research area. The importance of efforts to preserve the environment of these mountains is the responsibility of all of us, especially nature activists so this marvelous environment can be passed on to the next generation. This is in line with one of the Indonesia’s Sustainable Development Goals (SDGs), ensuring that by 2030 everyone has awareness of sustainable development and live an environmentally-sound lifestyle.

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References

J. Irwandi and B. Ismail, “Upaya penanggulangan kebakaran hutan dan lahan di Desa Purwajaya Kecamatan Loa Janan Kabupaten Kutai Kertanegara Kalimantan Timur,” J. Agrifor, vol. xv, no. 2, pp. 201–210, 2016.

S. E. Novita and M. Vonnisa, “Pemodelan spasial kerentanan kebakaran hutan dan lahan di kalimantan timur,” J. Fis. Unand, vol. 10, no. 2, pp. 232–238, 2021. doi: 10.25077/jfu.10.2.232-238.2021.

P. C. Nugroho, S. E. Pinuji, G. Yulianti, S.Wiguna, Syauqi, F. Z Shabrina, R. T. Septian, A. Hafiz, A. Nugraha, A. N. Ichawana, A. Adi, R. E Randongkir, T. U. Handayaningsih, and A. A. Iriansyah, “Modul teknis penyusunan kajian risiko bencana kebakaran hutan dan lahan,” Publ. Dir. Pengurangan Risiko Bencana Badan Nas. Penanggulangan Bencana DPRB BNPB, 2019.

I. K. Hadi, S. H. Mukti, and W. Widyatmanti, “Pemetaan pola spasial kebakaran hutan dan lahan di taman nasional gunung merbabu berbasis penginderaan jauh tahun 2019,” J. Geogr. Geogr. Lingkung. Lahan Basah, vol. 2, no. 1, p. 43, jun. 2021, doi: 10.20527/jgp.v2i1.4536.

S. Liu, S. Wang, T. Chi, C. Wen, T. Wu, and D. Wang, “An improved combined vegetation difference index and burn scar index approach for mapping cropland burned areas using combined data from landsat 8 multispectral and thermal infrared bands,” Int. J. Wildland Fire, vol. 29, no. 6, p. 499, 2020. doi: 10.1071/wf18146.

J. Malczewski, GIS and multicriteria decision analysis, New York: John Wiley and Sons, Inc., 1999.

Kepala BNPB, peraturan kepala bnpb no. 2 tahun 2012 tentang pedoman umum pengkajian risiko bencana, vol. no. 2/kepalabnpb/2012. 2012.

W. Wiweka, “standardisasi klasifikasi dan simbol lahan perkotaan diturunkan dari citra resolusi spasial tinggi,” J. Stand., vol. 16, no. 1, p. 41, 2014. doi: 10.31153/js.v16i1.74.

C. A. Brewer, designed maps a sourcebook for gis users. redlands california: esri press, 2008.

Q. Meng, Y. Huai, J. You, and X. Nie, “Visualization of 3d forest fire spread based on the coupling of multiple weather factors,” Comput. Graph., vol. 110, pp. 58–68, 2023. doi: 10.1016/j.cag.2022.12.002.

T. Dhar, B. Bhatta, and S. Aravindan, “Forest fire occurrence, distribution and risk mapping using geoinformation technology: a case study in the sub-tropical forest of the Meghalaya, India,” Remote Sens. Appl. Soc. Environ., vol. 29, p. 100883, 2023. doi: 10.1016/j.rsase.2022.100883.

Q. Xu, W. Li, J. Liu, and X. Wang, “A geographical similarity-based sampling method of non-fire point data for spatial prediction of forest fires,” For. Ecosyst., vol. 10, p. 100104, 2023. doi: 10.1016/j.fecs.2023.100104.

A. Fekete and U. Nehren, “Assessment of social vulnerability to forest fire and hazardous facilities in Germany,” Int. J. Disaster Risk Reduct., vol. 87, p. 103562, 2023. doi: 10.1016/j.ijdrr.2023.103562.

M. De A. Aragão, N. C. Fiedler, A. H. Ramalho, R. A. Menezes, E. C. G Silva, R. S. Juvanhol, L. D. Biazatti, E. F. Silva, R. S. Pereira, G. M. Guanaes, and F. M. Lucas, “Risk of forest fires occurrence on a transition island amazon-cerrado: where to act?,” For. Ecol. Manag., vol. 536, p. 120858, 2023. doi: 10.1016/j.foreco.2023.120858.

L. M. Fitria, “Analisis kerentanan bencana longsor di lereng Gunung Wilis Kabupaten Nganjuk,” Kurvatek, vol. 1, no. 1, p. 8,. 2016. doi: 10.33579/krvtk.v1i1.104.

S. N. Sari, “Analisis pengurangan resiko banjir lahar dingin di Kecamatan Danurejan,” Kurvatek, vol. 2, no. 1, pp. 1–6, 2018. doi: 10.33579/krvtk.v2i1.547.

Published
2023-04-28
How to Cite
[1]
N. M. Sari and I. P. G. B. Waisnawa, “VULNERABILITY ANALYSIS OF FOREST AND LAND FIRE IN MOUNTAINEERING ROUTES OF MOUNT MERBABU, SINDORO AND SUMBING, CENTRAL JAVA”, Journal Technology of Civil, Electrical, Mechanical, Geology, Mining, and Urban Design, vol. 8, no. 1, pp. 45-54, Apr. 2023.