TY - JOUR
T1 - New land use regression model to estimate atmospheric temperature and heat island intensity in Taiwan
AU - Hsu, Chin Yu
AU - Ng, Uen Ching
AU - Chen, Chiao Ying
AU - Chen, Yu Cheng
AU - Chen, Mu Jean
AU - Chen, Nai Tzu
AU - Lung, Shih Chun Candice
AU - Su, Huey Jen
AU - Wu, Chih Da
N1 - Funding Information:
This research was funded by Ministry of Science and Technology, Taiwan, (MOST 107-2621-M-001-003-; MOST 107-2119-M-006-030) and Academia Sinica, Taiwan (AS-SS-107-03). Acknowledgments
Funding Information:
We appreciate the data support from the Research Center for Environmental Changes, Academia Sinica, and National Health Research Institutes. We also thank the anonymous reviewers for their constructive comments on the early manuscript of this paper.
Publisher Copyright:
© 2020, Springer-Verlag GmbH Austria, part of Springer Nature.
PY - 2020/8/1
Y1 - 2020/8/1
N2 - This paper is about spatial–temporal variability of atmospheric temperature across Taiwan, an island with diverse local emission sources partly because of its Asian cultural characteristics. To develop a new land use regression (LUR) model for this study, we used the temperature data collected by the Taiwan Central Weather Bureau from 2000 and 2016, while using the data from 2017 as the external data verification to assess model reliability. Because incense and joss money burning is a cultural-specific emission source in Asia, we further included location of temples, cemeteries, and crematoriums as potential predictors. The overall model performance and tenfold cross-validated are R2 of 0.88 and R2 of 0.87, respectively, which presents a high level of prediction performance. Moreover, we used our LUR model to estimate urban heat islands intensity (UHII) for six metropolises in Taiwan and found Taichung City has the highest UHII value (4.60 °C) among them. These results provide important insights in expanding the remote sensing application on spatial–temporal variation of atmospheric temperature and its further application on UHI effects.
AB - This paper is about spatial–temporal variability of atmospheric temperature across Taiwan, an island with diverse local emission sources partly because of its Asian cultural characteristics. To develop a new land use regression (LUR) model for this study, we used the temperature data collected by the Taiwan Central Weather Bureau from 2000 and 2016, while using the data from 2017 as the external data verification to assess model reliability. Because incense and joss money burning is a cultural-specific emission source in Asia, we further included location of temples, cemeteries, and crematoriums as potential predictors. The overall model performance and tenfold cross-validated are R2 of 0.88 and R2 of 0.87, respectively, which presents a high level of prediction performance. Moreover, we used our LUR model to estimate urban heat islands intensity (UHII) for six metropolises in Taiwan and found Taichung City has the highest UHII value (4.60 °C) among them. These results provide important insights in expanding the remote sensing application on spatial–temporal variation of atmospheric temperature and its further application on UHI effects.
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U2 - 10.1007/s00704-020-03286-1
DO - 10.1007/s00704-020-03286-1
M3 - Article
AN - SCOPUS:85086395588
SN - 0177-798X
VL - 141
SP - 1451
EP - 1459
JO - Theoretical and Applied Climatology
JF - Theoretical and Applied Climatology
IS - 3-4
ER -
