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Article: Regional climate change and local urbanization effects on weather variables in Southeast China
Title | Regional climate change and local urbanization effects on weather variables in Southeast China | ||||
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Authors | |||||
Keywords | Climate change Least squares regression Sen-slope method Southeast China Urbanization effect | ||||
Issue Date | 2011 | ||||
Publisher | Springer Verlag. The Journal's web site is located at http://link.springer.de/link/service/journals/00477/index.htm | ||||
Citation | Stochastic Environmental Research And Risk Assessment, 2011, v. 25 n. 4, p. 555-565 How to Cite? | ||||
Abstract | This paper presents the analyses of regional climate change features and the local urbanization effects on different weather variables over Southeast China. The weather variables considered are: daily mean (Tm), minimum (Tmin), and maximum (Tmax) near surface air temperature, diurnal temperature range (DTR), relative humidity (RH), and precipitation (P). With analysis of two datasets (a station dataset for the period from 1960 to 2005 that is mainly used and a grid dataset for the period 1960-2000), this study reveals that the trends in the variations of these weather variables can be separated into two periods, before and after 1984. Before 1984, there were no significant urbanization effects, and Tmin, RH, and P steadily increased but Tmax decreased, resulting in a considerable decrease in DTR and a slight decrease in Tm. After 1984, Tmin and Tmax increased considerably, and the urbanization influence on Tmin, but not Tmax, is observable. The urbanization effect causes an extra increasing trend in Tmin with a rate of about 0.6°C/decade and, accordingly, extra decreasing trends in DTR and RH. The analysis of the seasonal trends reveals that the urbanization influence results in a near-uniform increase of Tmin for all four seasons and a strong decrease of RH in summer and autumn. Moreover, there is no significant change in P at the annual scale and an increasing rate of 11.8%/decade in summer. With the urbanization influence, a considerable increase in P is noticeable at the annual scale; specifically, the increasing rates of 18.6%/decade in summer and 13.5%/decade in autumn are observed. © 2010 The Author(s). | ||||
Persistent Identifier | http://hdl.handle.net/10722/145050 | ||||
ISSN | 2023 Impact Factor: 3.9 2023 SCImago Journal Rankings: 0.879 | ||||
ISI Accession Number ID |
Funding Information: This research was supported by the Hong Kong RGC GRF project (HKU 7117/06E), and PPR project (HKU 7022-PPR-2). The authors are grateful for the valuable review comments and suggestions from the two anonymous reviewers. Also, the authors thank the guest editor of this special issue, Bellie Sivakumar, for his invaluable work of editing our paper. | ||||
References | |||||
Grants |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chen, J | en_HK |
dc.contributor.author | Li, Q | en_HK |
dc.contributor.author | Niu, J | en_HK |
dc.contributor.author | Sun, L | en_HK |
dc.date.accessioned | 2012-02-21T05:42:32Z | - |
dc.date.available | 2012-02-21T05:42:32Z | - |
dc.date.issued | 2011 | en_HK |
dc.identifier.citation | Stochastic Environmental Research And Risk Assessment, 2011, v. 25 n. 4, p. 555-565 | en_HK |
dc.identifier.issn | 1436-3240 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/145050 | - |
dc.description.abstract | This paper presents the analyses of regional climate change features and the local urbanization effects on different weather variables over Southeast China. The weather variables considered are: daily mean (Tm), minimum (Tmin), and maximum (Tmax) near surface air temperature, diurnal temperature range (DTR), relative humidity (RH), and precipitation (P). With analysis of two datasets (a station dataset for the period from 1960 to 2005 that is mainly used and a grid dataset for the period 1960-2000), this study reveals that the trends in the variations of these weather variables can be separated into two periods, before and after 1984. Before 1984, there were no significant urbanization effects, and Tmin, RH, and P steadily increased but Tmax decreased, resulting in a considerable decrease in DTR and a slight decrease in Tm. After 1984, Tmin and Tmax increased considerably, and the urbanization influence on Tmin, but not Tmax, is observable. The urbanization effect causes an extra increasing trend in Tmin with a rate of about 0.6°C/decade and, accordingly, extra decreasing trends in DTR and RH. The analysis of the seasonal trends reveals that the urbanization influence results in a near-uniform increase of Tmin for all four seasons and a strong decrease of RH in summer and autumn. Moreover, there is no significant change in P at the annual scale and an increasing rate of 11.8%/decade in summer. With the urbanization influence, a considerable increase in P is noticeable at the annual scale; specifically, the increasing rates of 18.6%/decade in summer and 13.5%/decade in autumn are observed. © 2010 The Author(s). | en_HK |
dc.language | eng | en_US |
dc.publisher | Springer Verlag. The Journal's web site is located at http://link.springer.de/link/service/journals/00477/index.htm | en_HK |
dc.relation.ispartof | Stochastic Environmental Research and Risk Assessment | en_HK |
dc.rights | The Author(s) | en_US |
dc.subject | Climate change | en_HK |
dc.subject | Least squares regression | en_HK |
dc.subject | Sen-slope method | en_HK |
dc.subject | Southeast China | en_HK |
dc.subject | Urbanization effect | en_HK |
dc.title | Regional climate change and local urbanization effects on weather variables in Southeast China | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://library.hku.hk:4551/resserv?sid=springerlink&genre=article&atitle=Regional climate change and local urbanization effects on weather variables in Southeast China&title=Stochastic Environmental Research and Risk Assessment&issn=14363240&date=2011-05-01&volume=25&issue=4& spage=555&authors=Ji Chen, Qinglan Li, Jun Niu, <i>et al.</i> | en_US |
dc.identifier.email | Chen, J:jichen@hkucc.hku.hk | en_HK |
dc.identifier.authority | Chen, J=rp00098 | en_HK |
dc.description.nature | published_or_final_version | en_US |
dc.identifier.doi | 10.1007/s00477-010-0421-0 | en_HK |
dc.identifier.scopus | eid_2-s2.0-79952992790 | en_HK |
dc.identifier.hkuros | 179541 | - |
dc.identifier.hkuros | 208000 | - |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-79952992790&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 25 | en_HK |
dc.identifier.issue | 4 | en_HK |
dc.identifier.spage | 555 | en_HK |
dc.identifier.epage | 565 | en_HK |
dc.identifier.eissn | 1436-3259 | en_US |
dc.identifier.isi | WOS:000288659200009 | - |
dc.publisher.place | Germany | en_HK |
dc.description.other | Springer Open Choice, 21 Feb 2012 | en_US |
dc.relation.project | Assuring Hong Kong's water supply: learning the lessons of the 1963 drought | - |
dc.relation.project | Dominant hydrologic processes for floods and droughts over the Pearl River Basin at different temporal and spatial scales | - |
dc.identifier.scopusauthorid | Chen, J=16443980300 | en_HK |
dc.identifier.scopusauthorid | Li, Q=37077508900 | en_HK |
dc.identifier.scopusauthorid | Niu, J=36437502500 | en_HK |
dc.identifier.scopusauthorid | Sun, L=36160779100 | en_HK |
dc.identifier.citeulike | 7501490 | - |
dc.identifier.issnl | 1436-3240 | - |