Emission of Polycyclic Aromatic\nHydrocarbons in China by County

Abstract

Quantitative relationships among social, economic, and\nclimate parameters, and energy consumption for Chinese\nprovinces, provide data for regression models' estimated\nrates of energy consumption and emission of polycyclic\naromatic hydrocarbons (PAHs) by county. A nonlinear\nmodel was used for domestic coal combustion with total\npopulation and annual mean temperature as independent\nvariables. Linear regression models were utilized for all\nother types of fuel consumption. Monte Carlo simulation\ndemonstrated that emission factors, rather than the regression\nmodeling, constitute the main source of uncertainty in\nprediction. Models were validated using available energy\ndata of several northern and southern counties of\nChina from the literature. The total PAHs produced by\neach county is approximately equivalent to the sum of the\ntotal emission from energy, coke, and aluminum production.