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Enhancement of the polynomial functions response surface model for real-time analyzing ozone sensitivity

Frontiers of Environmental Science & Engineering 2021年第2期15卷 155-168页

作者： Jiangbo Jin Yun Zhu Jicheng Jang Shuxiao Wang Jia Xing Pen-Chi Chiang Shaojia Fan Shicheng Long Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution control College of Environment and EnergySouth China University of TechnologyGuangzhou Higher Education Mega CenterGuangzhou 510006China Southern Marine Science and Engineering Guangdong Laboratory Sun Yat-Sen UniversityZhuhai 519000China State Key Joint Laboratory of Environment Simulation and Pollution control School of EnvironmentTsinghua UniversityBeijing 100084China Graduate Institute of Environmental Engineering Taiwan UniversityTaipei 10673China Carbon Cycle Research Center Taiwan UniversityTaipei 10672China

Quantification of the nonlinearities between ambient ozone(O3)and the emissions of nitrogen oxides(NOx)and volatile organic compound(VOC)is a prerequisite for an effective O3 control *** Enhanced polynomial functions Response Surface Model(Epf-RSM)with the capability to analyze O3-NOx-VOC sensitivities in real time was developed by integrating the hill-climbing adaptive method into the optimized Extended Response Surface Model(ERSM)*** Epf-RSM could single out the best suited polynomial function for each grid cell to quantify the responses of O3 concentrations to precursor emission *** comparisons between Epf-RSM and pf-ERSM(polynomial functions based ERSM)were performed using out-of-sample validation,together with comparisons of the spatial distribution and the Empirical Kinetic Modeling Approach *** comparison results showed that Epf-RSM effectively addressed the drawbacks of pf-ERSM with respect to overfitting in the margin areas and high biases in the transition *** O3 concentrations predicted by Epf-RSM agreed well with Community Multi-scale Air Quality simulation *** case study results in the Pearl River Delta and the north-western area of the Shandong province indicated that the O3 formations in the central areas of both the regions were more sensitive to anthropogenic VOC in January,April,and October,while more NOx-sensitive in July.

关键词： Response surface model Hill-climbing algorithm Ozone pollution precursor emissions control strategy

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