Daily Spatial Distribution of Apparent Temperature Comfort Zone in China Based on Heat Index
文献类型：期刊论文
| 作者 | Wang, Zhengkun2,3; Zhang, An1,2; Liu, Meiling3 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2022-10-01 |
| 卷号 | 14期号:19页码:16 |
| 关键词 | heat index apparent temperature comfort zone multi-linear regression area of heat stress China |
| DOI | 10.3390/rs14194999 |
| 通讯作者 | Zhang, An(zhangan@igsnrr.ac.cn) |
| 英文摘要 | Apparent temperature (AT) is used to evaluate human comfort and is of great importance for studies on the effects of environmental factors on human health. This study used the daytime heat index (HI) calculated by national surface meteorological stations in China as the AT dependent variable, with August 2020 employed as an example. The daytime fifth generation European Centre for Medium-Range Weather Forecasts (ECMWF) atmospheric reanalysis of the global climate (ERA5) data and multi-source data extracted from the stations were used as the independent variables. Due to the presence of multicollinearity among the independent variables, we implemented a multiple stepwise regression model and developed a daily near-surface 1 km HI estimation model. The correlation analysis using the model showed that the coefficient of determination (R-2) was 0.89; the mean absolute error (MAE) was 1.49 degrees C, and the root mean square error (RMSE) was 2.08 degrees C. We also used 10-fold cross-validation to calculate the error between the parameter and predicted values. The R-2 of the model was 0.96; the MAE was 1.80 degrees C, and the RMSE was 2.40 degrees C. In this month, the mean daily daytime HI was 20.51 degrees C. According to the Universal Thermal Climate Index (UTCI), the areas with more than 20 days of heat stress for one month were largely distributed in the desert areas of northwest China and the coastal areas in southeast China, accounting for 29.98% of the total land area of China. This study improves the spatial resolution and accuracy of HI prediction, thus providing a scientific reference for studying residential environments and the urban heat island effect. |
| WOS关键词 | HUMAN THERMAL COMFORT ; AIR-TEMPERATURE ; MORTALITY ; HUMIDITY ; PHYSIOLOGY ; DEATH ; UTCI ; WAVE |
| 资助项目 | National Key Research and Development Program of China[2017YFB0503500] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000867236500001 |
| 出版者 | MDPI |
| 资助机构 | National Key Research and Development Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/185760]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang, An |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.China Univ Geosci, Sch Informat Engn, Beijing 100083, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Zhengkun,Zhang, An,Liu, Meiling. Daily Spatial Distribution of Apparent Temperature Comfort Zone in China Based on Heat Index[J]. REMOTE SENSING,2022,14(19):16. |
| APA | Wang, Zhengkun,Zhang, An,&Liu, Meiling.(2022).Daily Spatial Distribution of Apparent Temperature Comfort Zone in China Based on Heat Index.REMOTE SENSING,14(19),16. |
| MLA | Wang, Zhengkun,et al."Daily Spatial Distribution of Apparent Temperature Comfort Zone in China Based on Heat Index".REMOTE SENSING 14.19(2022):16. |
入库方式： OAI收割
来源：地理科学与资源研究所
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