A spatiotemporal framework for the joint risk assessments of urban flood and urban heat island
文献类型：期刊论文
| 作者 | Tang, Xianzhe6; Huang, Xi; Tian, Juwei; Jiang, Yuhao5; Ding, Xue4; Liu, Wei2,3 |
| 刊名 | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
 |
| 出版日期 | 2024-03-01 |
| 卷号 | 127页码:103686 |
| 关键词 | Urban Flood Heat Island index Urban Flood Susceptibility Urban Heat Island Intensity Random Forest Spatiotemporal analysis |
| DOI | 10.1016/j.jag.2024.103686 |
| 产权排序 | 5 |
| 文献子类 | Article |
| 英文摘要 | Urban Flood (UF) and Urban Heat Island (UHI) become prevalent urban diseases currently. Previous studies usually regarded UF and UHI as separate issues that requires respective concentration; however, UF and UHI are inextricably connected so that they should be considered together. Hence, this paper proposes a spatiotemporal framework to link UF and UHI by developing an Urban Flood Heat Island (UFHI) index, taking the Greater Bay Area (GBA) in China as the study case. Random Forest (RF) classifier and Urban-Rural Dichotomy were selected to compute the spatiotemporal distribution of UF susceptibility (UFS) and UHI intensity (UHII), respectively. Theil-Sen Median Slope, Mann-Kendall Test, and Hurst analysis were used to explore the spatiotemporal variation pattern of the UF-UHI joint risk. Spatial Durbin Model was used to compute the correlation between UFS and UHII. RF regressor was employed to quantify the contribution of the common driving factors. We found: (1) UFS and UHII are spatiotemporally correlated, thus UHII can be used as a control variable for the refined UFS assessments, (2) the areas with the UF-UHI joint risk of persistently significant increase (similar to 7.9 %) majorly distributed in the central region, (3) according to the contributions of factors, UF and UHI in the GBA could be effectively alleviated by breaking the continuous impervious surfaces by introducing blue-green structures. This study offers a new perspective for the effective alleviation of UF and UHI, which would be helpful for the sustainable development of cities in developing countries where human and material sources are limited. |
| WOS关键词 | DROUGHT ; CITIES ; INDEX ; CITY |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:001174439100001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/203354]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Nanjing Agr Univ, Coll Land Management, Nanjing 210095, Peoples R China 4.Natl Forestry & Grassland Adm, Acad Forest Inventory & Planning, Beijing 100013, Peoples R China 5.South China Agr Univ, Joint Inst Environm & Educ, Coll Nat Resources & Environm, Guangzhou 510642, Peoples R China 6.South China Agr Univ, Guangdong Prov Key Lab Land Use & Consolidat, Guangzhou 510642, Peoples R China |
| 推荐引用方式 GB/T 7714 | Tang, Xianzhe,Huang, Xi,Tian, Juwei,et al. A spatiotemporal framework for the joint risk assessments of urban flood and urban heat island[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2024,127:103686. |
| APA | Tang, Xianzhe,Huang, Xi,Tian, Juwei,Jiang, Yuhao,Ding, Xue,&Liu, Wei.(2024).A spatiotemporal framework for the joint risk assessments of urban flood and urban heat island.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,127,103686. |
| MLA | Tang, Xianzhe,et al."A spatiotemporal framework for the joint risk assessments of urban flood and urban heat island".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 127(2024):103686. |
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。