A new statistical modeling and optimization framework for establishing high-resolution PM10 emission inventory – II. Integrated air quality simulation and optimization for performance improvement

摘要: An integrated air quality simulation and optimization approach was proposed to improve the accuracy of high-resolution PM10 emission inventories developed through regression models. A case study Tangshan region in northern China presented as an example. linear programming model minimize mean error between simulated monitored concentrations different counties. transfer coefficient matrix used represent source–receptor relationships running a MM5-CMAQ model. The results revealed that simulation–optimization could decrease inventory from 17.0 7.9% at regional level, 31.44 14.17% county level. Accuracy improvement ranged 0.39 61.44% for counties Tangshan. correlation estimated emissions concentration various also increased 0.82 0.91. Together with models, method provides promising effective framework developing high-accuracy pollutant inventories.