Physical and optical characteristics of the October 2010 haze event over Singapore: A photometric and lidar analysis

Salinas, Santo V.; Chew, Boon Ning; Miettinen, Jukka; Campbell, James; Welton, Ellsworth J.; Reid, Jeffrey S.; Yu, Liya E.; Liew, Soo Chin

doi:10.1016/j.atmosres.2012.05.021

Cited by 56 publications

(40 citation statements)

References 57 publications

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“…The average value and standard deviation were 0.94 and 0.051 respectively. Similar high SSA value was found by Salinas et al (2013) who studied the SSA in Kuching during burning season in 2010, which was 0.93 in 440 nm. Schafer et al (2008) also found that region affected by biomass burning of tropical forest vegetation like in Southern forest of Amazon has the average value of SSA 0.92 in 550 nm.…”

Section: Resultssupporting

confidence: 63%

Aerosol Properties in Central Kalimantan Due to Peatland Fire

Kusumaningtyas

Aldrian

Rahman

et al. 2016

Aerosol Air Qual. Res.

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The optical properties of aerosol could describe the potential source of prevalent pollutants of certain area. With the annual occurrences of biomass burning over the peat swamp forest, the study of aerosol characters in Central Kalimantan province becomes important. Aerosols from Aerosol Robotic Network (AERONET) data network combine with some environmental parameters, i.e., rainfall, visibility, surface humidity and hotspot number are investigated. Here we use the data from 2012 to 2014 collected from AERONET in Palangkaraya. We found a strong relationship between aerosol properties and environmental parameters (rainfall, hotspot number, visibility). Variability of aerosol properties such as aerosol optical depth (AOD), Angstrom exponent number, and its fine mode are consistent with the dry period between August and October when most fire episodes occur. In fact, the increase of aerosol loading occurs mostly when the monthly rainfall reaches below 150 mm month -1 (dry period), as the cut off number of our analyses. Considerable reduction of visibility below 500 m occurs whenever AOD is above 3.0. During observation period, we found that aerosol sources at this location originate from dust, marine aerosol, continental and urban aerosol, and biomass burning. The biomass burning aerosol gave a substantially high AOD values that reach almost 6.0 and fine feature as an indication of highly concentrated smoke from peatland source. Moreover, smouldering combustion from peat land is characterized by high value of single scattering albedo observed in the location.

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Section: Resultssupporting

confidence: 63%

Aerosol Properties in Central Kalimantan Due to Peatland Fire

Kusumaningtyas

Aldrian

Rahman

et al. 2016

Aerosol Air Qual. Res.

View full text Add to dashboard Cite

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“…In 2006, both regions generated 84 % of all fires in Indonesia (47 and 37 %, respectively, Yulianti et al, 2012). Although Kalimantan has higher emissions, Sumatra contributes more to smoke concentrations in populated areas in Southeast Asia outside of Indonesia due to its location west of the Malaysian peninsula (Marlier et al, 2015) making Singapore and Malaysia most vulnerable to fire emissions from Sumatra (Hyer and Chew, 2010;Salinas et al, 2013;Aouizerats et al, 2015). Under future climate change scenarios and without changing fire management practice, Indonesia could become even more vulnerable to fire (Herawati and Santoso, 2011).…”

Section: T Fanin and G R Van Der Werf: Precipitation-fire Linkagesmentioning

confidence: 99%

Precipitation–fire linkages in Indonesia (1997–2015)

Fanin

Werf

2017

Biogeosciences

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Abstract. Over the past decades, fires have burned annually in Indonesia, yet the strength of the fire season is for a large part modulated by the El Niño Southern Oscillation (ENSO). The two most recent very strong El Niño years were 2015 and 1997. Both years involved high incidences of fire in Indonesia. At present, there is no consistent satellite data stream spanning the full 19-year record, thereby complicating a comparison between these two fire seasons. We have investigated how various fire and precipitation datasets

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“…NEA operates thirteen air quality monitoring stations in Singapore (NEA, 2011a), of which Pandan Reservoir station is nearest to the NUS atmospheric measurement supersite (~4 km; For supersite details, see Atwood et al, 2013;Chew et al, 2013;Salinas et al, 2013a). These stations are positioned strategically in industrial, urban and suburban areas, as well as along roadsides to monitor the ambient air quality.…”

Section: Pm 25 Measurementsmentioning

confidence: 99%

Relationship between Aerosol Optical Depth and Particulate Matter over Singapore: Effects of Aerosol Vertical Distributions

Chew

Campbell²,

Hyer³

et al. 2016

Aerosol Air Qual. Res.

Self Cite

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As part of the Seven Southeast Asian Studies (7SEAS) program, an Aerosol Robotic Network (AERONET) sun photometer and a Micro-Pulse Lidar Network (MPLNET) instrument have been deployed at Singapore to study the regional aerosol environment of the Maritime Continent (MC). In addition, the Navy Aerosol Analysis and Prediction System (NAAPS) is used to model aerosol transport over the region. From 24 September 2009 to 31 March 2011, the relationships between ground-, satellite-and model-based aerosol optical depth (AOD) and particulate matter with aerodynamic equivalent diameters less than 2.5 µm (PM 2.5 ) for air quality applications are investigated. When MPLNET-derived aerosol scale heights are applied to normalize AOD for comparison with surface PM 2.5 data, the empirical relationships are shown to improve with an increased 11%, 10% and 5% in explained variances, for AERONET, MODIS and NAAPS respectively. The ratios of root mean square errors to standard deviations for the relationships also show corresponding improvements of 8%, 6% and 2%. Aerosol scale heights are observed to be bimodal with a mode below and another above the stronglycapped/deep near-surface layer (SCD; 0-1.35 km). Aerosol extinctions within the SCD layer are well-correlated with surface PM 2.5 concentrations, possibly due to strong vertical mixing in the region.

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Physical and optical characteristics of the October 2010 haze event over Singapore: A photometric and lidar analysis

Cited by 56 publications

References 57 publications

Aerosol Properties in Central Kalimantan Due to Peatland Fire

Aerosol Properties in Central Kalimantan Due to Peatland Fire

Precipitation–fire linkages in Indonesia (1997–2015)

Relationship between Aerosol Optical Depth and Particulate Matter over Singapore: Effects of Aerosol Vertical Distributions

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