Impervious Surface Area Patterns and Their Response to Land Surface Temperature Mechanism in Urban-Rural Regions of Qingdao, China
文献类型：期刊论文
| 作者 | Pan, Tao1,2; Li, Baofu1; Ning, Letian1 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023-09-01 |
| 卷号 | 15期号:17页码:23 |
| 关键词 | land use impervious surface area land surface temperature urban-rural regions northern China |
| DOI | 10.3390/rs15174265 |
| 通讯作者 | Li, Baofu(libf@qfnu.edu.cn) |
| 英文摘要 | The expansion of impervious surface area (ISA) in megacities of China often leads to land surface temperature (LST) aggregation effects, which affect living environments by impacting thermal comfort levels, thus becoming an issue of public concern. However, from an urban-rural synchronous comparison perspective, the study of LST responses to ISA changes is still lacking in the central coastal megalopolises of China. To solve this issue, a collaborative methodology of artificial digitization-fully constrained least squares mixed pixel decomposition-split-window algorithm-PCACA model was established for Qingdao using land use dataset and remote sensing images. The conclusions are below. Long time series of land use monitoring indicated that the expansion ratios of urban and rural areas were 131.29% and 43.42% in the past 50 years (i.e., from 1970 to 2020). Within urban and rural areas, a synchronous ISA increase was observed, with ratios of +9.14% (140.55 km2) and +7.94% (28.04 km2), respectively. Higher ratios and area changes were found in the urban regions, and a similar ISA change pattern in both urban and rural regions was captured by the ISA horizontal epitaxial expansion and vertical density enhancement. Further, the horizontal gradient effect displayed that the mean LSTs were 28.75 & DEG;C, 29.77 & DEG;C and 31.91 & DEG;C in the urban areas and 28.73 & DEG;C, 29.66 & DEG;C and 31.65 & DEG;C in the rural areas in low-, medium-, and high-density ISAs. The vertical density effect showed that the LST change was 1.02 & DEG;C and 2.14 & DEG;C in the urban areas but 0.93 & DEG;C and 1.99 & DEG;C in the rural areas during the ISA-density transition from low- to medium- and from medium- to high-density, respectively. Potential surface thermal indicators were assessed, and the urban regions displayed higher sensible heat flux (280.13 W/m2) compared to the rural regions (i.e., 274.76 W/m2). The mechanism effect of the ISA changes on LST in the urban and rural regions was revealed. These findings form a new comparative perspective of the urban-rural synchronous change in the central coastal megalopolis of China and can provide a practical reference for relevant studies. |
| WOS关键词 | HEAT-ISLAND ; GREEN SPACE ; MODEL ; TRAJECTORIES ; QUALITY ; COVER ; CITY |
| 资助项目 | Natural Science Foundation Youth Program of Shandong Province[ZR2021QD134] ; Natural Science Foundation Youth Program of Shandong Province[ZR2021YQ28] ; Taishan Scholars Project of Shandong Province[tsqn202306182] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:001061296200001 |
| 资助机构 | Natural Science Foundation Youth Program of Shandong Province ; Taishan Scholars Project of Shandong Province |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/196885]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Li, Baofu |
| 作者单位 | 1.Qufu Normal Univ, Sch Geog & Tourism, Key Lab Terr Ecol Remediat Jining City, Rizhao 276826, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Pan, Tao,Li, Baofu,Ning, Letian. Impervious Surface Area Patterns and Their Response to Land Surface Temperature Mechanism in Urban-Rural Regions of Qingdao, China[J]. REMOTE SENSING,2023,15(17):23. |
| APA | Pan, Tao,Li, Baofu,&Ning, Letian.(2023).Impervious Surface Area Patterns and Their Response to Land Surface Temperature Mechanism in Urban-Rural Regions of Qingdao, China.REMOTE SENSING,15(17),23. |
| MLA | Pan, Tao,et al."Impervious Surface Area Patterns and Their Response to Land Surface Temperature Mechanism in Urban-Rural Regions of Qingdao, China".REMOTE SENSING 15.17(2023):23. |
入库方式： OAI收割
来源：地理科学与资源研究所
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