Recent Active Fires in Indonesia’s Southern Papua Province Caused by El Niño Conditions

Yulianti, Nina; Hayasaka, Hiroshi

doi:10.3390/rs15112709

Cited by 4 publications

(7 citation statements)

References 33 publications

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“…For Papua fires, we suggested "sea surface temperature anomaly (SSTA)" as a good fire-related index [20]. We found that the SST around Papua (the Northern Arafura Sea) differs significantly between El Niño and La Niña years.…”

Section: Fire-related Index In Papuamentioning

confidence: 88%

“…There are few studies on fire weather conditions and fire-related indices for peatland fires in Indonesia. Because of this, we examined the applicability of PWV to other two fires in Papua [20] and Central Kalimantan [21]. In addition to atmospheric conditions, soil side (peat) conditions were also considered.…”

Section: Discussionmentioning

confidence: 99%

“…Since the 2019 peatland fires occurred independently of El Niño, more appropriate indicators and methods are needed to predict peatland fires. Several candidate fire-related indices are considered, and we showed that outgoing longwave radiation (OLR) can explain active fires in South Sumatra and Central Kalimantan [19,21] better than ENSO indices, and sea surface temperature anomaly (SSTA) can explain active fires in South Papua [20].…”

Section: Fire-related Indicesmentioning

confidence: 98%

“…Fire years in South Sumatra and Central Kalimantan happened in 2006 and 2015 [21]. 2015 was also the only year in which fires occurred in South Papua since 2012 [20].…”

Section: Fire and Peatland Distributionmentioning

confidence: 99%

“…However, we could not define fire weather conditions in Indonesia until recently, mainly due to the lack of long-term hourly weather data near active fire regions. But we have access to hourly data for several sites in Indonesia and have already analyzed peatland fire weather conditions in plantation areas in Sumatra [19], Papua in southern Indonesia [20], and the Mega Rice Project (MRP) region in Kalimantan [21]. Three reports cleared their fire weather conditions and fire-related indices except for North Sumatra.…”

Section: Introductionmentioning

confidence: 99%

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Fire Weather Conditions in Plantation Areas in Northern Sumatra, Indonesia

Hayasaka

2023

Atmosphere

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Peatland fires in Indonesia tend to be more active during El Niño-related droughts, with the exception of fires in North Sumatra. As North Sumatra is located north of the equator and is affected by the winter and summer monsoons, fires tend to be more active not only during the dry main season from January to March, but also in June and August due to short-term droughts. Due to these complex fire trends, no appropriate fire-related indices have been found in North Sumatra. In this paper, 20 years of fire (hotspot (HS) data from 2003 to 2022, weather data (hourly and daily), and various satellite data were used to analyze fire weather conditions in Dumai plantation areas. Analysis results of 20 fire incidents (largest fires (HSs) of each year) showed the following fire weather conditions: high wind speeds (>19 km h−1), high temperatures (>33 °C), and low relative humidity (<50%). Based on the results of fire and weather analyses, several fire-related indices selected from various satellite-measured data were examined. Precipitable water vapor has the highest negative correlation with fires. It is hoped that this new fire index will be used for fire prevention not only Sumatra but also in other areas in Indonesia.

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Section: Fire-related Index In Papuamentioning

confidence: 88%

Section: Discussionmentioning

confidence: 99%

Section: Fire-related Indicesmentioning

confidence: 98%

“…Fire years in South Sumatra and Central Kalimantan happened in 2006 and 2015 [21]. 2015 was also the only year in which fires occurred in South Papua since 2012 [20].…”

Section: Fire and Peatland Distributionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fire Weather Conditions in Plantation Areas in Northern Sumatra, Indonesia

Hayasaka

2023

Atmosphere

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Air Pollution and Blood Pressure: Evidence From Indonesia

Madrigano,

Yan,

Liu

et al. 2024

GeoHealth

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Indonesia faces significant air quality issues due to multiple emissions sources, including rapid urbanization and peatland fires associated with agricultural land management. Limited prior research has estimated the episodic shock of intense fires on morbidity and mortality in Indonesia but has largely ignored the impact of poor air quality throughout the year on biomarkers of cardiovascular disease risk. We conducted a cross‐sectional study of the association between particulate matter less than 2.5 microns in diameter (PM2.5) and blood pressure. Blood pressure measurements were obtained from the fifth wave of the Indonesian Family Life Survey (IFLS5), an ongoing population‐based socioeconomic and health survey. We used the GEOS‐Chem chemical transport model to simulate daily PM2.5 concentrations at 0.5° × 0.625° resolution across the IFLS domain. We assessed the association between PM2.5 and diastolic and systolic blood pressure, using mixed effects models with random intercepts for regency/municipality and household and adjusted for individual covariates. An interquartile range increase in monthly PM2.5 exposure was associated with a 0.234 (95% CI: 0.003, 0.464) higher diastolic blood pressure, with a greater association seen in participants age 65 and over (1.16 [95% CI: 0.24, 2.08]). For the same exposure metric, there was a 1.90 (95% CI: 0.43, 3.37) higher systolic blood pressure in participants 65 and older. Our assessment of fire‐specific PM2.5 yielded null results, potentially due to the timing and locations of health data collection. To our knowledge, this is the first study to provide evidence for an association between PM2.5 and blood pressure in Indonesia.

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Synoptic-Scale Wildland Fire Weather Conditions in Mexico

Hayasaka

2024

Atmosphere

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Future climate change is expected to increase the risk and severity of wildland fires in tropical regions. Synoptic-scale fire weather conditions in Mexico were carefully analyzed using 20 years of satellite hotspot and rainfall data, hourly weather data, and various climate data. Fire analysis results showed that eighty-four percent of all fires in Mexico occurred south of 22° N. Southwest Mexico (SWM, N < 22°, 94–106° W) and Southeast Mexico (SEM, N < 22°, 86–94° W), account for 50% and 34% of all fires in Mexico. Synoptic-scale analysis results using hourly data showed that westerly wind sea breezes from the Pacific Ocean blow toward the coastal land areas of the SWM while easterly wind sea breezes from the Caribbean blow into the SEM. The most sensitive weather parameters were “relative humidity” for the SWM and “temperature” for the SEM. The fire-related indices selected were “precipitable water vapor anomaly” for the SWM and “temperature anomaly” for the SEM. The SWM fire index suggests that future fires will depend on dryness, while the SEM fire index suggests that future fires will depend on temperature trends. I do hope that this paper will improve local fire forecasts and help analyze future fire trends under global warming in Mexico.

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Recent Active Fires in Indonesia’s Southern Papua Province Caused by El Niño Conditions

Cited by 4 publications

References 33 publications

Fire Weather Conditions in Plantation Areas in Northern Sumatra, Indonesia

Fire Weather Conditions in Plantation Areas in Northern Sumatra, Indonesia

Air Pollution and Blood Pressure: Evidence From Indonesia

Synoptic-Scale Wildland Fire Weather Conditions in Mexico

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