Abstract
Land and forest fire in 2019 adversely affected Indonesia, one of them occurred in West Kalimantan. The government has been trying to develop an early warning system that is FDRS. However, the utilization of FDRS still requires verification on fire events in the field, especially in West Kalimantan, and the study of its relationship to the distribution of hotspots and rainfall. The study aims to analyze and verify FDRS parameters in land and forest fire events in West Kalimantan in 2019 and its relationship to hotspots and rainfall. The data used in the study were FDRS data from LAPAN, climate data from meteorological observations, hotspot data from MODIS Terra-Aqua, and location of the burned area from the Ministry of Environment and Forestry for verification. The analysis method in this study used correlation analysis (r) and coefficient of determination (R2). The results showed that the parameter values of FFMC, DC, ISI, and FWI in the area of forest and land fires ranged from 48 to 89, 6 to 733, 0 to 5, 0 to 23. The FDRS parameter is strongly influenced by rainfall conditions 21 days before the fire event (\(\overline{r}\)= −0.54 to −0.66) and the number of days with light rainfall before the fire event (\(\overline{r}\) = 0.54–0.61). About 27.85% of fire events are affected by rainfall conditions 21 days before the fire event, which is the lower the accumulation of rainfall 21 days before the fire event, the potential for fire events will increase. About 28.51% of fire events are affected by the number of days with light rainfall (<20 mm/day) before the fire event; the longer of the day with rainfall <20 mm, the greater the potential for fire events. The number of hotspots (\(\overline{r}\) = 0.62–0.68) and the burned area (\(\overline{r}\) = 0.64–0.74) have possibility can increase along with the classification of parameter FDRS. The results also showed that about 70.48% of fire events could be identified based on the number of hotspots, and FWI has an excellent ability to be used as an early warning indicator of land and forest fire in West Kalimantan.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Aflahah, E., Hidayati, R., Hidayat, R., Alfahmi, F.: The restoration of hotspots as an indicator of forest fires in kalimantan based on climate factors. JPSL 9(2), 405–418 (2019). https://doi.org/10.29244/jpsl.9.2.405-418
Baihaqi, A.: Use of Canadian Forest Fire Weather Index Method in Determining the Level of Forest Fire Vulnerability (Study Case: West Kalimantan). Bandung, Bandung Institute of Technology (2014)
Bangsawan, L., Pandjaitan, B.S.: Identification of forest fires in West Papua using Himawari-8 Satellite. In: Proceedings Workshop Operational Weather Satellite, 2 Dec 2015
Chen, F., Fan, Z., Niu, S., Zheng, J.: The Influence of Precipitation and Consecutive Dry Days on Burned Areas in Yunnan Province. Advances in Meteorology, Hindawi Publishing Corporation, Southwestern China (2014)
Cloppet, E., Regimbeau M.: Fire weather index: from high-resolution climatology to climate change impact study. In: International Conference on current knowledge of Climate Change Impacts on Agriculture and Forestry in Europe, 3–6 May 2011. COST- WMO, Topolcianky. [Accessed Aug 10, 2021]
CNN Indonesia: Comparing Land and Forest Fire in 2015 and 2019 (2019). Accessed on November 9, 2020, from https://www.cnnindonesia.com/teknologi/20190918104533-199-431485/membandingkan-karhutla-di-indonesia-pada-2015-dan-2019.
De Groot, W.J., Field, R.D., Brady, M.A., Roswintiarti, O., Mohamad, M.: Development of the Indonesian and Malaysian fire danger rating systems. Mitig. Adapt. Strat. Glob. Change. 12, 165–180 (2006). https://doi.org/10.1007/s11027-006-9043-8
Field, R.D., Wang, Y., Roswintiarti, O., Guswanto: A drought-based predictor of recent haze events in western Indonesia. Atmos. Environ. 38, 1869–1878 (2004)
Ivan, P.A., Ifran, D.I., Muhnandar.: Vegetation Fires in Indonesia: The Interpretation of NOAA Derived Hot-Spot Data. Palembang, Center for Forest Inventory and Mapping Region II and the Regional Office for Forestry and Plantations (1999)
Katadata Publication Team.: Indonesia’s Second Largest Peat Area in the World (2019). Accessed on November 9, 2020, from https://katadata.co.id/timpublikasikatadata/infografik/5e9a519433cb1/luas-gambutindonesia-terbesar-kedua-di-dunia.
Khomarudin, M., Roswintiarti, O., Tjahjaningsih, A.: Estimated Weather Elements to Support Land/Forest Fire Danger Rating System with MODIS data. Jakarta, LAPAN (2005)
Lawler, M.: Analysis of the American National Fire Danger Rating System (NFDRS) vs the Canadian Fire Weather Index System (FWI) for the Superior National Forest. District Fire Management Officer: U.S Forest Service (2004)
Narasimhan, B., Srinivasan, R.: Determination of Regional Scale Evapotranspiration of Texas from NOAA-AVHRR Satellite. Final Report Submitted to Texas Water Resources Institute. March. 5. Texas, USA (2002)
Prasasti, I.: Utilization of READY-ARL NOAA Data and CMORPH for Land and Forest Fire Risk Model Development in Central Kalimantan. Bogor, Bogor Agricultural Institute (2012)
Pyne, S.J.: Introduction to Wildland Fire: Fire Management in the United States. John Willey and Sons, New York (1984)
Safitri, W. R.: Pearson correlation analysis in determining the relationship between dengue hemorrhagic fever incidence with population density in Surabaya City in 2012–2014. J. Nurs. Sci., 2(2) (2016). ISSN 2477-4391
SiPongi Karhutla Monitoring System: Recapitulation of Land and Forest Fires (Ha) Per Province in Indonesia in 2015–2020. Jakarta, PKHL Directorate of the Ministry of Environment and Forestry. Accessed on November 9, 2020 (2015), from http://sipongi.menlhk.go.id/hotspot/luas_kebakaran
Syaufina, L., Nuruddin, A.A., Basharuddin, J., See, L.F., Yusof, M.R.M.: The Effects of climatic variations on peat swamp forest condition and peat combustibility. J. Tropical Forest Manage. 5(1), 1–14 (2004)
Tošić, I., Mladjan, D., Gavrilov, M., Živanović, S., Radaković, M., Putniković, S., Petrović, P., Mistridželović, I., Marković, S.: Potential influence of meteorological variables on forest fire risk in Serbia during the period 2000–2017. Open Geosci. 11, 414–425 (2019). Published by De Gruyter. https://doi.org/10.1515/geo-2019-0033
Vetrita, Y., Prasasti, I., Haryani, N.S., Priyatna, M., Khomarudin, M.R.: Drought and fine fuel moisture code evaluation: an early warning system for forest/land fire using remote sensing approach. Int. J. Remote Sens. Earth Sci. 9(2), 140–147 (2012)
Acknowledgements
The author would like to thank Remote Sensing Application Center, Indonesian National Institute of Aeronautics and Space for the support of FDRS data, especially to Mrs. Farikhotul Chusnayah, S.T., M.Eng, the Ministry of Environment and Forestry, in particular Mr. Radian Bagiyono, S. Hut., M.For and Mr. Judin Putranto, for support of the map of the fire event area.
Author information
Authors and Affiliations
Contributions
Jihan Putri Amelia (main contributor: data processor, analyst, writing); Zadrach Ledoufij Dupe (member contributor: drafter, advisor, and consultant); Indah Prasasti (member contributor: drafter, analyst, and writing).
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Amelia, J.P., Dupe, Z.L., Prasasti, I. (2022). Analysis and Verification of Fire Danger Rating System (FDRS) Parameters in Land and Forest Fire in West Kalimantan in 2019 and Its Relationship with Hotspots and Rainfall. In: Yulihastin, E., Abadi, P., Sitompul, P., Harjupa, W. (eds) Proceedings of the International Conference on Radioscience, Equatorial Atmospheric Science and Environment and Humanosphere Science, 2021. Springer Proceedings in Physics, vol 275. Springer, Singapore. https://doi.org/10.1007/978-981-19-0308-3_20
Download citation
DOI: https://doi.org/10.1007/978-981-19-0308-3_20
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-0307-6
Online ISBN: 978-981-19-0308-3
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)