气候变化领域集成服务门户(CCPortal): Using big data analytics to synthesize research domains and identify emerging fields in urban climatology

CCPortal

DOI	10.1002/wcc.688
	Using big data analytics to synthesize research domains and identify emerging fields in urban climatology
	Huo F.; Xu L.; Li Y.; Famiglietti J.S.; Li Z.; Kajikawa Y.; Chen F.
发表日期	2021
ISSN	1757-7780
卷号	12 期号:1
英文摘要	The growing concerns over urbanization and climate change have resulted in an exponential growth in publications on urban climatology in recent decades. However, an advanced synthesis that characterizes the existing studies is lacking. In this review, we used citation network analysis and a text mining approach to identify research trends and extract common research topics and the emerging domains in urban climatology. Based on the clustered networks, we found that aerosols and ozone, and urban heat island are the most popular topics. Together with other clusters, four emerging topical fields were identified: secondary organic aerosols, urban precipitation, flood risk and adaptation, and greenhouse gas emissions. The city case studies' geographical information was analyzed to explore the spatial–temporal patterns, especially in the emerging topical fields. Interdisciplinary research grew in recent years as the field of urban climatology expanded to interact with urban hydrology, health, energy issues, and social sciences. A few knowledge gaps were proposed: the lack of long-term high-temporal-resolution observational data of organic aerosols for model validation and improvements, the need for predictions of urban effects on precipitation and extreme flooding events under climate change, and the lack of a framework for cooperation between physical sciences and social sciences under urban settings. To fill these gaps, we call for more observational data with high spatial and temporal resolution, using high-resolution models that adequately represent urban processes to conduct scenario analyses for urban planning, and the development of intellectual frameworks for better integration of urban climatology and social-economical systems in cities. This article is categorized under: Climate, History, Society, Culture > Disciplinary Perspectives. © 2020 Wiley Periodicals LLC.
关键词	citation analysis knowledge mapping text mining thematic synthesis urban climate
语种	英语
scopus关键词	Advanced Analytics; Aerosols; Behavioral research; Big data; Climate change; Climate models; Data Analytics; Floods; Gas emissions; Greenhouse gases; History; Text mining; Disciplinary perspective; Geographical information; High temporal resolution; High-resolution models; Interdisciplinary research; Secondary organic aerosols; Spatial and temporal resolutions; Urban precipitation; Urban growth; aerosol; climatology; data mining; database; heat island; knowledge; mapping; network analysis; ozone; research work; urban climate
来源期刊	Wiley Interdisciplinary Reviews: Climate Change
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/249675
作者单位	Global Institute for Water Security, University of Saskatchewan, Saskatoon, Canada; School of Environment and Society, Tokyo Institute of Technology, Tokyo, Japan; Institute for Future Initiatives, University of Tokyo, Tokyo, Japan; Research Applications Lab, Boulder, CO, United States
推荐引用方式 GB/T 7714	Huo F.,Xu L.,Li Y.,et al. Using big data analytics to synthesize research domains and identify emerging fields in urban climatology[J],2021,12(1).
APA	Huo F..,Xu L..,Li Y..,Famiglietti J.S..,Li Z..,...&Chen F..(2021).Using big data analytics to synthesize research domains and identify emerging fields in urban climatology.Wiley Interdisciplinary Reviews: Climate Change,12(1).
MLA	Huo F.,et al."Using big data analytics to synthesize research domains and identify emerging fields in urban climatology".Wiley Interdisciplinary Reviews: Climate Change 12.1(2021).