Tianjia Liu

TL;DR: In this paper, the influence of potential fire emissions across the domain on smoke concentrations in three receptor areas downwind during the 2006 event was calculated using the adjoint of the GEOS-Chem chemical transport model, which allows near real-time assessment of smoke pollution exposure, and therefore the consequent morbidity and premature mortality.

TL;DR: In this paper, the influence of a single pollution source, outdoor biomass burning, on particulate matter (PM) concentrations, surface visibility, and aerosol optical depth (AOD) from 2007 to 2013 in three of the most populous Indian cities was examined.

TL;DR: In this paper, a combination of observed and modeled variables, including surface measurements of PM2.5, were used to quantify the influence of agricultural fire emissions on surface air pollution in Delhi.

TL;DR: In this article, the authors present the measurement results of chemical composition of particulate matter in Delhi and Chennai and suggest that in the presence of excess ammonia in Delhi, high local emission of hydrochloric acid partitions into aerosol water.

TL;DR: In this paper, the authors used Google Earth Engine to leverage 15 years of MODIS observations and 6 years of observations from the higher spatial resolution Visible Imaging Infrared Radiometer Suite (VIIRS) sensor to develop metrics to quantify five major sources of spatial bias or uncertainty in the inventories: (1) primary reliance on active fires versus burned area, (2) cloud/haze burden on the ability of satellites to “see” fires, (3) fragmentation of burned areas, (4) roughness in topography, and (5) small