Analyzing Changes in Urban Green Spaces and Their Effect on Land Temperature from the Perspective of Surface Radiation Energy Balance in Rizhao City, the Central Coast of China
文献类型：期刊论文
| 作者 | Pan, Tao5; He, Shanfeng; Liu, Zhaoyu4; Jiang, Liming; Zhao, Qinglei; Hamdi, Rafiq2,3 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023-10-01 |
| 卷号 | 15期号:19页码:4785 |
| 关键词 | land use urban green spaces land surface thermal properties central coast of China |
| DOI | 10.3390/rs15194785 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | The greening of land plays a meaningful role in improving human settlements by regulating ecosystem functions in the central coast region of China. However, research on the spatiotemporal heterogeneity of green land changes in different urbanized regions and the cooling temperature effect of the different green land densities are still lacking in this region, which limits the understanding of the effect of greening of land on land thermal properties. To address this issue, we integrated several approaches to establish a comprehensive way of 'human-computer interactive interpretation method-urban interior mixed pixel model-surface radiation energy balance model' using data from remote sensing images and the national land use/cover database of China, focusing on Rizhao city. The conclusions are as follows: The total greening of land from 2000 to 2022 was monitored, and it was found that its cover improved within the built-up area of the city, with the proportion of green land increasing from 25.34% in 2000 to 42.98% in 2022. Differences in the amount of green spaces in different urbanized regions were first observed, namely, the urban greening rate was 37.78% in the old urban area in 2022, while it was as high as 46.43% in the newly expanded urban area in 2022, showing that more attention should be given to the construction of urban green spaces during urban expansion. Thermal comfort indicators in the study area were evaluated in terms of latent heat flux (0-457.83 W/m2), sensible heat flux (0-645.09 W/m2), and total available energy (254.07-659.42 W/m2). We also found that the cooling temperature effect in the middle- and high-density green land regions were 1.05 degrees C and 2.12 degrees C higher than those in the low-density region, and the established comfort/discomfort zones in terms of land surface temperature were depicted. These results provide a new practical reference for exploring the spatiotemporal heterogeneity change in green land and its impact on land-surface thermal properties in coastal regions. |
| WOS关键词 | SPATIOTEMPORAL PATTERNS ; COVER ; GRAIN ; PROGRAM ; CLIMATE ; IMPACT ; POLICY ; PARKS |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:001125962000001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/201023]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 作者单位 | 1.Univ Ghent, Dept Phys & Astron, B-9000 Ghent, Belgium 2.Royal Meteorol Inst, B-1180 Brussels, Belgium 3.Qufu Normal Univ, Sch Comp Sci, Rizhao 276826, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 5.Qufu Normal Univ, Sch Geog & Tourism, Key Lab Terr Ecol Remediat Jining City, Rizhao 276826, Peoples R China |
| 推荐引用方式 GB/T 7714 | Pan, Tao,He, Shanfeng,Liu, Zhaoyu,et al. Analyzing Changes in Urban Green Spaces and Their Effect on Land Temperature from the Perspective of Surface Radiation Energy Balance in Rizhao City, the Central Coast of China[J]. REMOTE SENSING,2023,15(19):4785. |
| APA | Pan, Tao,He, Shanfeng,Liu, Zhaoyu,Jiang, Liming,Zhao, Qinglei,&Hamdi, Rafiq.(2023).Analyzing Changes in Urban Green Spaces and Their Effect on Land Temperature from the Perspective of Surface Radiation Energy Balance in Rizhao City, the Central Coast of China.REMOTE SENSING,15(19),4785. |
| MLA | Pan, Tao,et al."Analyzing Changes in Urban Green Spaces and Their Effect on Land Temperature from the Perspective of Surface Radiation Energy Balance in Rizhao City, the Central Coast of China".REMOTE SENSING 15.19(2023):4785. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。