Meteorologically adjusted ground level ozone trends in southern Taiwan.
Two methods were used to calculate the meteorologically adjusted ground level ozone trends in southern Taiwan. The first method utilized is a robust linear regression method. The second approach uses a multilayer perceptron (MLP) artificial neural network (ANN) method. The observations obtained from 16 monitoring stations were analyzed and divided into six groups by hierarchical divisive clustering procedure. The daily maximum 1 and 8 h ozone concentrations for each group are then calculated. The meteorologically adjusted trends obtained by linear regression and MLP methods are smaller than the unadjusted trends for all groups and average time. It indicts that the meteorological conditions in Taiwan tend to increase ambient ozone concentrations in recent years.
Cheng
Kuang-jung
KJ
Department of Water Resources and Environmental Engineering, Tamkang University, 151 Ying-chuang Rd., Tamsui, Taipei-hsien 251, Taiwan, Republic of China.
Tsai
Che-hui
CH
Chiang
Hsu-cherng
HC
Hsu
Ching-wen
CW
D004784:Environmental Monitoring / Q000379:methods*; D016014:Linear Models; D008685:Meteorological Concepts; D010126:Ozone / Q000032:analysis*; D013624:Taiwan
D010126:Ozone