Study on the influencing factors and the spatiotemporal heterogeneity of Urban Heat Island effect in Nanchang City of China
Although some researchers have explored spatiotemporal characteristics of the land surface temperature (LST) and analyzed how the influencing factors impact the LST, the comprehensive influencing factors and specific spatial relationships that explore the Urban Heat Island (UHI) effect from long tim...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2023-05-01
|
| Series: | Journal of Asian Architecture and Building Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/13467581.2022.2085723 |
| _version_ | 1797803675699118080 |
|---|---|
| author | Qiongbing Xiong Wenbo Chen Lei He Shiqi Luo Haifeng Li |
| author_facet | Qiongbing Xiong Wenbo Chen Lei He Shiqi Luo Haifeng Li |
| author_sort | Qiongbing Xiong |
| collection | DOAJ |
| description | Although some researchers have explored spatiotemporal characteristics of the land surface temperature (LST) and analyzed how the influencing factors impact the LST, the comprehensive influencing factors and specific spatial relationships that explore the Urban Heat Island (UHI) effect from long time scale have rarely received widespread attention. Taking Nanchang as an example, this paper first uses Landsat data to retrieve the LST in years 2000, 2010, and 2019. Then, the Geographically Weighted Regression (GWR) model is utilized to investigate the various influencing factors. The results showed as follows: (1) The UHI effect was intensified in the past 20 years in Nanchang City. From 2000 to 2019, the “heat island” increased from 63.06% to 64.07%, while the “green island” decreased from 36.94% to 35.93%. (2) The spatiotemporal anisotropy of the UHI effect was significant. (3) The GWR model could better reveal the spatial heterogeneity of the factors affecting the UHI effects. The relationship between Soil Brightness Index (NDSI), Normalized Difference Built-up Index (NDBI), and Night-lighting (NL) and the relative UHI effect intensity had significant spatial non-stationarity. This study can provide some references from reasonable urban planning to alleviate the urban heat island. |
| first_indexed | 2024-03-13T05:24:28Z |
| format | Article |
| id | doaj.art-a3a5acdc6b334eca9913dafa745ee419 |
| institution | Directory Open Access Journal |
| issn | 1347-2852 |
| language | English |
| last_indexed | 2024-03-13T05:24:28Z |
| publishDate | 2023-05-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of Asian Architecture and Building Engineering |
| spelling | doaj.art-a3a5acdc6b334eca9913dafa745ee4192023-06-15T09:22:31ZengTaylor & Francis GroupJournal of Asian Architecture and Building Engineering1347-28522023-05-012231444145710.1080/13467581.2022.20857232085723Study on the influencing factors and the spatiotemporal heterogeneity of Urban Heat Island effect in Nanchang City of ChinaQiongbing Xiong0Wenbo Chen1Lei He2Shiqi Luo3Haifeng Li4Jiangxi Agricultural UniversityEast China University of Technology, NanchangJiangxi University of Finance and EconomicsJiangxi Agricultural UniversityJiangxi Agricultural UniversityAlthough some researchers have explored spatiotemporal characteristics of the land surface temperature (LST) and analyzed how the influencing factors impact the LST, the comprehensive influencing factors and specific spatial relationships that explore the Urban Heat Island (UHI) effect from long time scale have rarely received widespread attention. Taking Nanchang as an example, this paper first uses Landsat data to retrieve the LST in years 2000, 2010, and 2019. Then, the Geographically Weighted Regression (GWR) model is utilized to investigate the various influencing factors. The results showed as follows: (1) The UHI effect was intensified in the past 20 years in Nanchang City. From 2000 to 2019, the “heat island” increased from 63.06% to 64.07%, while the “green island” decreased from 36.94% to 35.93%. (2) The spatiotemporal anisotropy of the UHI effect was significant. (3) The GWR model could better reveal the spatial heterogeneity of the factors affecting the UHI effects. The relationship between Soil Brightness Index (NDSI), Normalized Difference Built-up Index (NDBI), and Night-lighting (NL) and the relative UHI effect intensity had significant spatial non-stationarity. This study can provide some references from reasonable urban planning to alleviate the urban heat island.http://dx.doi.org/10.1080/13467581.2022.2085723uhi effectspatiotemporal anisotropygeographically weighted regression (gwr) modelinfluencing factorsnanchang city |
| spellingShingle | Qiongbing Xiong Wenbo Chen Lei He Shiqi Luo Haifeng Li Study on the influencing factors and the spatiotemporal heterogeneity of Urban Heat Island effect in Nanchang City of China Journal of Asian Architecture and Building Engineering uhi effect spatiotemporal anisotropy geographically weighted regression (gwr) model influencing factors nanchang city |
| title | Study on the influencing factors and the spatiotemporal heterogeneity of Urban Heat Island effect in Nanchang City of China |
| title_full | Study on the influencing factors and the spatiotemporal heterogeneity of Urban Heat Island effect in Nanchang City of China |
| title_fullStr | Study on the influencing factors and the spatiotemporal heterogeneity of Urban Heat Island effect in Nanchang City of China |
| title_full_unstemmed | Study on the influencing factors and the spatiotemporal heterogeneity of Urban Heat Island effect in Nanchang City of China |
| title_short | Study on the influencing factors and the spatiotemporal heterogeneity of Urban Heat Island effect in Nanchang City of China |
| title_sort | study on the influencing factors and the spatiotemporal heterogeneity of urban heat island effect in nanchang city of china |
| topic | uhi effect spatiotemporal anisotropy geographically weighted regression (gwr) model influencing factors nanchang city |
| url | http://dx.doi.org/10.1080/13467581.2022.2085723 |
| work_keys_str_mv | AT qiongbingxiong studyontheinfluencingfactorsandthespatiotemporalheterogeneityofurbanheatislandeffectinnanchangcityofchina AT wenbochen studyontheinfluencingfactorsandthespatiotemporalheterogeneityofurbanheatislandeffectinnanchangcityofchina AT leihe studyontheinfluencingfactorsandthespatiotemporalheterogeneityofurbanheatislandeffectinnanchangcityofchina AT shiqiluo studyontheinfluencingfactorsandthespatiotemporalheterogeneityofurbanheatislandeffectinnanchangcityofchina AT haifengli studyontheinfluencingfactorsandthespatiotemporalheterogeneityofurbanheatislandeffectinnanchangcityofchina |