Modeling of peatland fire risk early warning based on water dynamics
BACKGROUND AND OBJECTIVES: To minimize the potential risk of land fires, climate monitoring and hydrology characterization are crucial factors in managing peatlands. Therefore, this study aimed to investigate the relation between climate variability and water dynamics to develop a peatland fire earl...
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| Language: | English |
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GJESM Publisher
2023-11-01
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| Series: | Global Journal of Environmental Science and Management |
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| Online Access: | https://www.gjesm.net/article_707314_6ee6b7cd6de7fb4e89ecb134623b0885.pdf |
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| author | B. Kartiwa . Maswar A. Dariah . Suratman N.L. Nurida N. Heryani P. Rejekiningrum H. Sosiawan S.H. Adi I. Lenin S. Nurzakiah Ch. Tafakresnanto |
| author_facet | B. Kartiwa . Maswar A. Dariah . Suratman N.L. Nurida N. Heryani P. Rejekiningrum H. Sosiawan S.H. Adi I. Lenin S. Nurzakiah Ch. Tafakresnanto |
| author_sort | B. Kartiwa |
| collection | DOAJ |
| description | BACKGROUND AND OBJECTIVES: To minimize the potential risk of land fires, climate monitoring and hydrology characterization are crucial factors in managing peatlands. Therefore, this study aimed to investigate the relation between climate variability and water dynamics to develop a peatland fire early warning model.METHODS: This research was conducted in an oil palm plantation located in Pangkalan Pisang village, Koto Gasib subdistrict, Siak district, Riau province, Indonesia. Herein, the observed parameters were climate and dynamics of ground water level and soil moisture, which were monitored using data loggers installed on predefined representative locations and distributed over three blocks of 30 hectares in the palm oil plantation research site. Thus, the peat fire early warning model was developed based on the relation between peat water dynamics and the recorded history of peat fire events.FINDINGS: Herein, a recession curve analysis of soil moisture and ground water level revealed the relation between soil water dynamics and local climate. Consequently, this study found that soil moisture was the suitable parameter to estimate peat fire risk owing to its predictability. Furthermore, this study has identified a threshold of low and high peat fire risk in the area with less than 104 percent and 129 percent dry weight of soil moisture content, respectively. Afterward, this soil moisture criterion was transferred into precipitation value to develop a peat fire early warning model for estimating the days left before a high peat fire risk status was attained based on the latest daily rainfall rates.CONCLUSION: This study has developed a simple peat fire early warning model using daily precipitation data. The accurate estimation of countdown days to peat fire susceptibility status in an area would enhance fire mitigation strategies in peatlands. |
| format | Article |
| id | doaj-art-6781c73d024e40dc8997c1ffa61352ce |
| institution | Kabale University |
| issn | 2383-3572 2383-3866 |
| language | English |
| publishDate | 2023-11-01 |
| publisher | GJESM Publisher |
| record_format | Article |
| series | Global Journal of Environmental Science and Management |
| spelling | doaj-art-6781c73d024e40dc8997c1ffa61352ce2025-02-03T05:26:37ZengGJESM PublisherGlobal Journal of Environmental Science and Management2383-35722383-38662023-11-019Special Issue (Eco-Friendly Sustainable Management)23325010.22034/GJESM.2023.09.SI.14707314Modeling of peatland fire risk early warning based on water dynamicsB. Kartiwa0. Maswar1A. Dariah2. Suratman3N.L. Nurida4N. Heryani5P. Rejekiningrum6H. Sosiawan7S.H. Adi8I. Lenin9S. Nurzakiah10Ch. Tafakresnanto11Limnology and Water Resources Research Center, Indonesian Agency for National Research and Innovation, IndonesiaHorticulture and Estate Crops Research Center, Indonesian Agency for National Research and Innovation, IndonesiaHorticulture and Estate Crops Research Center, Indonesian Agency for National Research and Innovation, IndonesiaHorticulture and Estate Crops Research Center, Indonesian Agency for National Research and Innovation, IndonesiaResearch Center for Food Crops, Indonesian Agency for National Research and Innovation, IndonesiaLimnology and Water Resources Research Center, Indonesian Agency for National Research and Innovation, IndonesiaLimnology and Water Resources Research Center, Indonesian Agency for National Research and Innovation, IndonesiaLimnology and Water Resources Research Center, Indonesian Agency for National Research and Innovation, IndonesiaLimnology and Water Resources Research Center, Indonesian Agency for National Research and Innovation, IndonesiaHorticulture and Estate Crops Research Center, Indonesian Agency for National Research and Innovation, IndonesiaResearch Center for Food Crops, Indonesian Agency for National Research and Innovation, IndonesiaResearch Center for Food Crops, Indonesian Agency for National Research and Innovation, IndonesiaBACKGROUND AND OBJECTIVES: To minimize the potential risk of land fires, climate monitoring and hydrology characterization are crucial factors in managing peatlands. Therefore, this study aimed to investigate the relation between climate variability and water dynamics to develop a peatland fire early warning model.METHODS: This research was conducted in an oil palm plantation located in Pangkalan Pisang village, Koto Gasib subdistrict, Siak district, Riau province, Indonesia. Herein, the observed parameters were climate and dynamics of ground water level and soil moisture, which were monitored using data loggers installed on predefined representative locations and distributed over three blocks of 30 hectares in the palm oil plantation research site. Thus, the peat fire early warning model was developed based on the relation between peat water dynamics and the recorded history of peat fire events.FINDINGS: Herein, a recession curve analysis of soil moisture and ground water level revealed the relation between soil water dynamics and local climate. Consequently, this study found that soil moisture was the suitable parameter to estimate peat fire risk owing to its predictability. Furthermore, this study has identified a threshold of low and high peat fire risk in the area with less than 104 percent and 129 percent dry weight of soil moisture content, respectively. Afterward, this soil moisture criterion was transferred into precipitation value to develop a peat fire early warning model for estimating the days left before a high peat fire risk status was attained based on the latest daily rainfall rates.CONCLUSION: This study has developed a simple peat fire early warning model using daily precipitation data. The accurate estimation of countdown days to peat fire susceptibility status in an area would enhance fire mitigation strategies in peatlands.https://www.gjesm.net/article_707314_6ee6b7cd6de7fb4e89ecb134623b0885.pdfantecedent precipitation indexearly warning modelground water levelpeatland fire risksoil moisture |
| spellingShingle | B. Kartiwa . Maswar A. Dariah . Suratman N.L. Nurida N. Heryani P. Rejekiningrum H. Sosiawan S.H. Adi I. Lenin S. Nurzakiah Ch. Tafakresnanto Modeling of peatland fire risk early warning based on water dynamics Global Journal of Environmental Science and Management antecedent precipitation index early warning model ground water level peatland fire risk soil moisture |
| title | Modeling of peatland fire risk early warning based on water dynamics |
| title_full | Modeling of peatland fire risk early warning based on water dynamics |
| title_fullStr | Modeling of peatland fire risk early warning based on water dynamics |
| title_full_unstemmed | Modeling of peatland fire risk early warning based on water dynamics |
| title_short | Modeling of peatland fire risk early warning based on water dynamics |
| title_sort | modeling of peatland fire risk early warning based on water dynamics |
| topic | antecedent precipitation index early warning model ground water level peatland fire risk soil moisture |
| url | https://www.gjesm.net/article_707314_6ee6b7cd6de7fb4e89ecb134623b0885.pdf |
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