A new statistical approach for establishing high-resolution emission inventory of primary gaseous air pollutants

摘要: Abstract This paper, which aims at the primary gaseous air pollutants (i.e., SO2, NOx, VOCS and CO), is third paper in series papers published Atmospheric Environment to develop new emission estimation models by regression method. A group of for various industrial non-industrial sectors were proposed based on an investigation case study Handan region northern China. The main data requirements coal consumption, oil fuel consumption annual output. sector estimations population, number resident population households, vehicle area construction sites, forestland area, orchard area. then applied Tangshan results showed that developed had relatively satisfactory performance. modeling errors regional level CO were −16.5%, −10.6%, −11.8% and −22.6%, respectively. corresponding county 39.9%, 33.9%, 46.3% 46.9%, also other regions revealed could inventories with generally lower error than found previous inventory studies. advantages only using publicly available statistical information developing high-accuracy high-resolution inventory, without requiring detailed necessary conventional “bottom-up” development approach.