文摘
Quantitative relationships among social, economic, andclimate parameters, and energy consumption for Chineseprovinces, provide data for regression models' estimatedrates of energy consumption and emission of polycyclicaromatic hydrocarbons (PAHs) by county. A nonlinearmodel was used for domestic coal combustion with totalpopulation and annual mean temperature as independentvariables. Linear regression models were utilized for allother types of fuel consumption. Monte Carlo simulationdemonstrated that emission factors, rather than the regressionmodeling, constitute the main source of uncertainty inprediction. Models were validated using available energydata of several northern and southern counties ofChina from the literature. The total PAHs produced byeach county is approximately equivalent to the sum of thetotal emission from energy, coke, and aluminum production.