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Article: Regional climate change and local urbanization effects on weather variables in Southeast China

TitleRegional climate change and local urbanization effects on weather variables in Southeast China
Authors
KeywordsClimate change
Least squares regression
Sen-slope method
Southeast China
Urbanization effect
Issue Date2011
PublisherSpringer 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?
AbstractThis 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 Identifierhttp://hdl.handle.net/10722/145050
ISSN
2015 Impact Factor: 2.237
2015 SCImago Journal Rankings: 1.065
ISI Accession Number ID
Funding AgencyGrant Number
Hong Kong RGCHKU 7117/06E
HKU 7022-PPR-2
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 FieldValueLanguage
dc.contributor.authorChen, Jen_HK
dc.contributor.authorLi, Qen_HK
dc.contributor.authorNiu, Jen_HK
dc.contributor.authorSun, Len_HK
dc.date.accessioned2012-02-21T05:42:32Z-
dc.date.available2012-02-21T05:42:32Z-
dc.date.issued2011en_HK
dc.identifier.citationStochastic Environmental Research And Risk Assessment, 2011, v. 25 n. 4, p. 555-565en_HK
dc.identifier.issn1436-3240en_HK
dc.identifier.urihttp://hdl.handle.net/10722/145050-
dc.description.abstractThis 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.languageengen_US
dc.publisherSpringer Verlag. The Journal's web site is located at http://link.springer.de/link/service/journals/00477/index.htmen_HK
dc.relation.ispartofStochastic Environmental Research and Risk Assessmenten_HK
dc.rightsThe Author(s)en_US
dc.rightsCreative Commons: Attribution 3.0 Hong Kong Licenseen_US
dc.subjectClimate changeen_HK
dc.subjectLeast squares regressionen_HK
dc.subjectSen-slope methoden_HK
dc.subjectSoutheast Chinaen_HK
dc.subjectUrbanization effecten_HK
dc.titleRegional climate change and local urbanization effects on weather variables in Southeast Chinaen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://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.emailChen, J:jichen@hkucc.hku.hken_HK
dc.identifier.authorityChen, J=rp00098en_HK
dc.description.naturepublished_or_final_versionen_US
dc.identifier.doi10.1007/s00477-010-0421-0en_HK
dc.identifier.scopuseid_2-s2.0-79952992790en_HK
dc.identifier.hkuros179541-
dc.identifier.hkuros208000-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-79952992790&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume25en_HK
dc.identifier.issue4en_HK
dc.identifier.spage555en_HK
dc.identifier.epage565en_HK
dc.identifier.eissn1436-3259en_US
dc.identifier.isiWOS:000288659200009-
dc.publisher.placeGermanyen_HK
dc.description.otherSpringer Open Choice, 21 Feb 2012en_US
dc.relation.projectAssuring Hong Kong's water supply: learning the lessons of the 1963 drought-
dc.relation.projectDominant hydrologic processes for floods and droughts over the Pearl River Basin at different temporal and spatial scales-
dc.identifier.scopusauthoridChen, J=16443980300en_HK
dc.identifier.scopusauthoridLi, Q=37077508900en_HK
dc.identifier.scopusauthoridNiu, J=36437502500en_HK
dc.identifier.scopusauthoridSun, L=36160779100en_HK
dc.identifier.citeulike7501490-

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