Prioritizing environmental determinants of urban heat islands: A machine learning study for major cities in China
文献类型：期刊论文
| 作者 | Hou, Haoran; Longyang, Qianqiu; Su, Hongbo; Zeng, Ruijie; Xu, Tianfang; Wang, Zhi-Hua |
| 刊名 | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
 |
| 出版日期 | 2023-08-01 |
| 卷号 | 122页码:103411 |
| ISSN号 | 1569-8432 |
| 关键词 | Albedo Land surface temperature Normalized difference vegetation index (NDVI) Random forest Urban heat island Urban morphology |
| DOI | 10.1016/j.jag.2023.103411 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | The exacerbated thermal environment in cities, with the urban heat island (UHI) effect as a prominent example, has been the source of many adverse urban environmental issues, including the increase of health risks, degradation of air quality and ecosystem services, and reduced resiliency of engineering infrastructure. Last decades have witnessed tremendous efforts and resources being invested to find sustainable solutions for urban heat mitigation, whereas the relative contributions of different UHI attributes and their patterns of spatiotemporal variability remain obscure. In this study, we employed the random forest (RF) method to quantify the relative importance of four categories of urban surface characteristics that regulate the surface UHI, namely the urban greenery fraction, land surface albedo, urban morphology, and level of human activities. We selected seventeen major cities from six megaregions in China as our study areas, with the RF training and test sets obtained from multi-sourced remote sensing and observational data products. It is found that the urban greenery coverage manifests as the most important environmental determinants of UHI, followed by surface albedo. The results are informative for urban planners, policymakers, and engineering practitioners to design and implement sustainable strategies for urban heat mitigation. |
| WOS关键词 | MODIS ; CANOPY ; IMPACT ; FLUXES ; TEMPERATURE ; PERFORMANCE ; EMISSIVITY ; VALIDATION ; ALGORITHM ; EXCHANGE |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:001039062000001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/194561]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 作者单位 | 1.Arizona State University-Tempe 2.Institute of Geographic Sciences & Natural Resources Research, CAS 3.University of Chinese Academy of Sciences, CAS 4.State University System of Florida 5.Florida Atlantic University 6.Chinese Academy of Sciences 7.Arizona State University |
| 推荐引用方式 GB/T 7714 | Hou, Haoran,Longyang, Qianqiu,Su, Hongbo,et al. Prioritizing environmental determinants of urban heat islands: A machine learning study for major cities in China[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2023,122:103411. |
| APA | Hou, Haoran,Longyang, Qianqiu,Su, Hongbo,Zeng, Ruijie,Xu, Tianfang,&Wang, Zhi-Hua.(2023).Prioritizing environmental determinants of urban heat islands: A machine learning study for major cities in China.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,122,103411. |
| MLA | Hou, Haoran,et al."Prioritizing environmental determinants of urban heat islands: A machine learning study for major cities in China".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 122(2023):103411. |
入库方式： OAI收割
来源：地理科学与资源研究所
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