Asian Culturally Specific Predictors in a Large-Scale Land Use Regression Model to Predict Spatial-Temporal Variability of Ozone Concentration

Chin-Yu Hsu, Jhao-Yi Wu, Yu-Cheng Chen, Nai-Tzu Chen, Mu-Jean Chen, Wen-Chi Pan, Shih-Chun Candice Lung, Yue Leon Guo and Chih-Da Wu
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Chin-Yu Hsu: National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli 35053, Taiwan
Jhao-Yi Wu: Department of Forestry and Natural Resources, National Chiayi University, Chiayi 60004, Taiwan
Yu-Cheng Chen: National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli 35053, Taiwan
Nai-Tzu Chen: National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli 35053, Taiwan
Mu-Jean Chen: National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli 35053, Taiwan
Wen-Chi Pan: Institute of Environmental and Occupational Health Sciences, National Yang-Ming University, Taipei 11221, Taiwan
Shih-Chun Candice Lung: Research Center for Environmental Changes, Academia Sinica, Taipei 11529, Taiwan
Yue Leon Guo: Institute of Occupational Medicine and Industrial Hygiene, National Taiwan University, Taipei 10055, Taiwan
Chih-Da Wu: Department of Geomatics, National Cheng Kung University, Tainan 70101, Taiwan

IJERPH, 2019, vol. 16, issue 7, 1-12

Abstract: This paper developed a land use regression (LUR) model to study the spatial-temporal variability of O 3 concentrations in Taiwan, which has typical Asian cultural characteristics with diverse local emission sources. The Environmental Protection Agency’s (EPA) data of O 3 concentrations from 2000 and 2013 were used to develop this model, while observations from 2014 were used as the external data verification to assess model reliability. The distribution of temples, cemeteries, and crematoriums was included for a potential predictor as an Asian culturally specific source for incense and joss money burning. We used stepwise regression for the LUR model development, and applied 10-fold cross-validation and external data for the verification of model reliability. With the overall model R 2 of 0.74 and a 10-fold cross-validated R 2 of 0.70, this model presented a mid-high prediction performance level. Moreover, during the stepwise selection procedures, the number of temples, cemeteries, and crematoriums was selected as an important predictor. By using the long-term monitoring data to establish an LUR model with culture specific predictors, this model can better depict O 3 concentration variation in Asian areas.

Keywords: land use regression (LUR); ozone; Asian culturally specific source; temple; spatial-temporal variability (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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