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Article: Hydrologic complexity and classification: A simple data reconstruction approach

TitleHydrologic complexity and classification: A simple data reconstruction approach
Authors
KeywordsAttractor
Classification
Complexity
Data reconstruction
Hydrologic systems
Non-linearity
Phase space
Issue Date2007
PublisherJohn Wiley & Sons Ltd. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/4125
Citation
Hydrological Processes, 2007, v. 21 n. 20, p. 2713-2728 How to Cite?
AbstractTechnological advances, by facilitating extensive data collection, better data sharing, formulation of sophisticated methods, and development of complex models, have brought hydrologic research to a whole new level. Despite these obvious advances, there are also concerns about their general use in practice. On the one hand, it is natural to develop more complex models than perhaps needed (i.e. representations having too many parameters and requiring too much data); on the other hand, it is often difficult to 'translate' results from one specific situation to another. Recent studies have addressed these concerns, albeit in different forms, such as dominant processes, thresholds, model integration, and model simplification. A common aspect in some of these studies is that they recognize the need for a globally agreed upon 'classification system' in hydrology. The present study explores this classification issue further from a simple phase-space data reconstruction perspective. The reconstruction involves representation of the given multidimensional hydrologic system using only an available single-variable series through a delay coordinate procedure. The 'extent of complexity' of the system (defined especially in the context of variability of relevant data) is identified by the 'region of attraction of trajectories' in the phase space, which is then used to classify the system as potentially low-, medium- or high-dimensional. A host of river-related data, representing different geographic and climatic regions, temporal scales, and processes, are studied. Yielding 'attractors' that range from 'very clear' ones to 'very blurred' ones, depending on data, the results indicate the usefulness of this simple reconstruction concept for studying hydrologic system complexity and classification. Copyright © 2007 John Wiley & Sons, Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/82717
ISSN
2015 Impact Factor: 2.768
2015 SCImago Journal Rankings: 1.419
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorSivakumar, Ben_HK
dc.contributor.authorJayawardena, AWen_HK
dc.contributor.authorLi, WKen_HK
dc.date.accessioned2010-09-06T08:32:35Z-
dc.date.available2010-09-06T08:32:35Z-
dc.date.issued2007en_HK
dc.identifier.citationHydrological Processes, 2007, v. 21 n. 20, p. 2713-2728en_HK
dc.identifier.issn0885-6087en_HK
dc.identifier.urihttp://hdl.handle.net/10722/82717-
dc.description.abstractTechnological advances, by facilitating extensive data collection, better data sharing, formulation of sophisticated methods, and development of complex models, have brought hydrologic research to a whole new level. Despite these obvious advances, there are also concerns about their general use in practice. On the one hand, it is natural to develop more complex models than perhaps needed (i.e. representations having too many parameters and requiring too much data); on the other hand, it is often difficult to 'translate' results from one specific situation to another. Recent studies have addressed these concerns, albeit in different forms, such as dominant processes, thresholds, model integration, and model simplification. A common aspect in some of these studies is that they recognize the need for a globally agreed upon 'classification system' in hydrology. The present study explores this classification issue further from a simple phase-space data reconstruction perspective. The reconstruction involves representation of the given multidimensional hydrologic system using only an available single-variable series through a delay coordinate procedure. The 'extent of complexity' of the system (defined especially in the context of variability of relevant data) is identified by the 'region of attraction of trajectories' in the phase space, which is then used to classify the system as potentially low-, medium- or high-dimensional. A host of river-related data, representing different geographic and climatic regions, temporal scales, and processes, are studied. Yielding 'attractors' that range from 'very clear' ones to 'very blurred' ones, depending on data, the results indicate the usefulness of this simple reconstruction concept for studying hydrologic system complexity and classification. Copyright © 2007 John Wiley & Sons, Ltd.en_HK
dc.languageengen_HK
dc.publisherJohn Wiley & Sons Ltd. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/4125en_HK
dc.relation.ispartofHydrological Processesen_HK
dc.rightsHydrological Processes. Copyright © John Wiley & Sons Ltd.en_HK
dc.subjectAttractoren_HK
dc.subjectClassificationen_HK
dc.subjectComplexityen_HK
dc.subjectData reconstructionen_HK
dc.subjectHydrologic systemsen_HK
dc.subjectNon-linearityen_HK
dc.subjectPhase spaceen_HK
dc.titleHydrologic complexity and classification: A simple data reconstruction approachen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0885-6087&volume=21&spage=2713&epage=2728&date=2007&atitle=Hydrologic+Complexity+and+Classification:+A+Simple+Data+Reconstruction+Approachen_HK
dc.identifier.emailLi, WK: hrntlwk@hku.hken_HK
dc.identifier.authorityLi, WK=rp00741en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1002/hyp.6362en_HK
dc.identifier.scopuseid_2-s2.0-35248857862en_HK
dc.identifier.hkuros148280en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-35248857862&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume21en_HK
dc.identifier.issue20en_HK
dc.identifier.spage2713en_HK
dc.identifier.epage2728en_HK
dc.identifier.isiWOS:000250215800004-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridSivakumar, B=7006817898en_HK
dc.identifier.scopusauthoridJayawardena, AW=7005049253en_HK
dc.identifier.scopusauthoridLi, WK=14015971200en_HK

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