Application of air quality response surface model (RSM) in Hangzhou

doi:10.7523/j.issn.2095-6134.2017.02.009

Abstract

Abstract: Based on the CMAQ simulation results, we summarize the function relationships between various pollutant emission control factors and the concentrations of pollutants to establish air quality response surface model (RSM). The cross validation and external validation are used to evaluate the model reliability. In the study of the PM_2.5 response of different pollutants and the future emission control scenarios (Ⅰ and Ⅱ) in Hangzhou, we find that NO_X, SO₂, NH₃, and VOC have obvious nonlinear response characteristics to PM_2.5 emissions and that the effect of scenario Ⅱ is stronger than that of scenario Ⅰ and the effect in summer is stronger than in winter.

Key words: CMAQ, PM_2.5, RSM(response surface model), emission control scenarios

CLC Number:

DAI Zhixiang, HU Shiwei, LUO Kun, GAO Xiang, FAN Jianren, CEN Kefa. Application of air quality response surface model (RSM) in Hangzhou[J]. , 2017, 34(2): 179-185.

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