Mapping of smoke dispersion to estimate health impact due to peat land fires. Area of study: Central Kalimantan, Indonesia

Organised by Laboratory of Geo-information Science and Remote Sensing

Wed 21 June 2017 09:00 to 09:30

Venue Gaia, gebouwnummer 101
Room 1

By Maria Christy (Indonesia)

In Indonesia, approximately 15 million hectares of peat land exist, contained primarily on the three islands of Kalimantan, Sumatera, and Papua1. During September and October 2015, smoke from peat land fires covered Equatorial Asia, resulting in economic losses and thousands of premature deaths8,9. There are several factors that contribute to the intensity of fire break-outs and carbon emissions, such as the severity of dry seasons and the occurrence of El Nino climate cycles. In 1997-1998, El Nino brought extreme drought and fires to the region2, and since 2006, the government of Central Kalimantan has been trying to solve this problem. The local authorities in Central Kalimantan, lack the mechanisms in preventing and minimising the occurrence of fires. The collaboration among various scales of governance, from province level down to district level, is important for developing useful methods and approaches in managing the risks associated with fire events. A lack of information about the risks associated with peat fires is also one of the issues of concern in this research. The aim of this research is to analyse the spatial and temporal characteristics of smoke dispersion from peat land fires in Central Kalimantan by developing a spatial analysis based method, and also to understand the impact of air pollution caused by peat land fires, on the health of the local population. The tools and the software used in this thesis are mainly ArcGIS by ESRI to spatial analysis, HYSPLIT dispersion model, and quantifying the health impact of air pollution with AirQ+ by World Health Organisation. The result of this research are HYSPLIT model is not suitable as an input for Multiple Regression Analysis in order to estimate the smoke dispersion in Central Kalimantan, the result from HYSPLIT model is suitable for ArcGIS to generate the smoke dispersion map. However, it needs pre-processing data. The AirQ+ software available to estimate the mortality (lung cancer, acute lower respiratory disease, chronic obstructive pulmonary and ischaemic heart disease), and morbidity on the small scale area.

Keywords: Peat fire; HYSPLIT; ArcGIS; smoke dispersion; AirQ+; Central Kalimantan