摘要
通过采用CMAQ模式预测榆林市主要工业园区不同规划期对其夏季O_(3)污染的影响。研究发现:基于统计模式的后校正技术-学习型非线性回归方法可明显改善该模式下的O3模拟结果;工业园区近、远期规划建设对一类区红石峡森林公园O3质量浓度及O_(3)小时质量浓度最大贡献值分别为4.44,12.10μg/m^(3),占比分别为4.77%,7.56%;对二类区环境空气保护目标的O3质量浓度最大贡献值分别在2.94~5.69,8.94~11.16μg/m^(3)之间,最大占比分别在2.86%~5.4%,8.7%~11%之间。
Using multi-scale air quality model CMAQ,the research on the impact of different planning periods of industrial parks on the summer O_(3) pollution of Yulin City is carried out.It is founded that the post-correction technique based on statistical model learning nonlinear regression method can significantly improve the O_(3) simulation results.The maximum contribution of the recent construction of the industrial park to the Hongshixia Forest Park in the first-class district of Yulin City was 4.44 to 12.10μg/m^(3)respectively,with a rate of 4.77%to 7.56%,and the maximum contribution to the ambient air protection targets of the second-class area was 2.94 to 5.69μg/m^(3)and 8.94 to 11.16μg/m3 respectively with a rate between 2.86%to 5.4%and 8.7%to 11%.
作者
陈羽翔
杨宏
林鑫
仝纪龙
王伊凡
刘永乐
安伟铭
CHEN Yu-xiang;YANG Hong;LIN Xin;TONG Ji-long;WANG Yi-fan;LIU Yong-le;AN Wei-ming(College of Atmospheric Sciences,Lanzhou University,Lanzhou 730000,China)
出处
《环境科技》
2023年第1期1-5,共5页
Environmental Science and Technology
基金
国家自然科学基金委项目(42075174).