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Article: Forecasting of environmental risk maps of coastal algal blooms

TitleForecasting of environmental risk maps of coastal algal blooms
Authors
KeywordsAlgal bloom forecasting system
Eutrophication
Hong Kong waters
Nutrients
Red tides
Risk assessment
Water quality management
Issue Date2009
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/hal
Citation
Harmful Algae, 2009, v. 8 n. 3, p. 407-420 How to Cite?
AbstractWe present the elements of an algal bloom risk forecast system which aims to provide a scientific prognosis of the likelihood of an algal bloom occurrence as a function of: (a) the nutrient concentration; and (b) the forecasted wind and tide-induced vertical mixing relative to the critical value defined by the environmental and algal growth conditions. The model is validated with high frequency field observations of algal blooms in recent years and only requires the input of readily available field measurements of water column transparency, nutrient concentration, representative maximum algal growth rate, and a simple estimate of vertical mixing as a function of tidal range, wind speed, and density stratification. The forecasted region-wide risk maps successfully predicted the observed algal bloom occurrences in Hong Kong waters over the past 20 years, with a correct prognosis rate of 87%. It is shown that algal blooms are to a large extent controlled by the interaction of physical and biological processes. This work provides a general framework to interpret the complex spatial and temporal dynamics of observed algal blooms, and paves the way for the development of real time algal bloom risk forecast systems. © 2008 Elsevier B.V. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/58497
ISSN
2015 Impact Factor: 2.664
2015 SCImago Journal Rankings: 1.644
ISI Accession Number ID
Funding AgencyGrant Number
University Grants Committee, HKSAR, ChinaAoE/P-04104
Hong Kong Research Grants CouncilHKU 7110/04E
Funding Information:

This work is supported by a grant from the University Grants Committee, HKSAR, China (project no. AoE/P-04104), and in part by the Hong Kong Research Grants Council (project no. HKU 7110/04E). We are grateful to the Hong Kong Environmental Protection Department for the use of their long-term water quality data. [SS]

References
Grants

 

DC FieldValueLanguage
dc.contributor.authorWong, KTMen_HK
dc.contributor.authorLee, JHWen_HK
dc.contributor.authorHarrison, PJen_HK
dc.date.accessioned2010-05-31T03:31:28Z-
dc.date.available2010-05-31T03:31:28Z-
dc.date.issued2009en_HK
dc.identifier.citationHarmful Algae, 2009, v. 8 n. 3, p. 407-420en_HK
dc.identifier.issn1568-9883en_HK
dc.identifier.urihttp://hdl.handle.net/10722/58497-
dc.description.abstractWe present the elements of an algal bloom risk forecast system which aims to provide a scientific prognosis of the likelihood of an algal bloom occurrence as a function of: (a) the nutrient concentration; and (b) the forecasted wind and tide-induced vertical mixing relative to the critical value defined by the environmental and algal growth conditions. The model is validated with high frequency field observations of algal blooms in recent years and only requires the input of readily available field measurements of water column transparency, nutrient concentration, representative maximum algal growth rate, and a simple estimate of vertical mixing as a function of tidal range, wind speed, and density stratification. The forecasted region-wide risk maps successfully predicted the observed algal bloom occurrences in Hong Kong waters over the past 20 years, with a correct prognosis rate of 87%. It is shown that algal blooms are to a large extent controlled by the interaction of physical and biological processes. This work provides a general framework to interpret the complex spatial and temporal dynamics of observed algal blooms, and paves the way for the development of real time algal bloom risk forecast systems. © 2008 Elsevier B.V. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/halen_HK
dc.relation.ispartofHarmful Algaeen_HK
dc.rightsHarmful Algae. Copyright © Elsevier BV.en_HK
dc.subjectAlgal bloom forecasting systemen_HK
dc.subjectEutrophicationen_HK
dc.subjectHong Kong watersen_HK
dc.subjectNutrientsen_HK
dc.subjectRed tidesen_HK
dc.subjectRisk assessmenten_HK
dc.subjectWater quality managementen_HK
dc.titleForecasting of environmental risk maps of coastal algal bloomsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1568-9883&volume=8&issue=3&spage=407&epage=420&date=2009&atitle=Forecasting+of+environmental+risk+maps+of+coastal+algal+bloomsen_HK
dc.identifier.emailWong, KTM: ken0wong@hku.hken_HK
dc.identifier.emailLee, JHW: hreclhw@hku.hken_HK
dc.identifier.authorityWong, KTM=rp00073en_HK
dc.identifier.authorityLee, JHW=rp00061en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.hal.2008.09.001en_HK
dc.identifier.scopuseid_2-s2.0-58349093704en_HK
dc.identifier.hkuros154916en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-58349093704&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume8en_HK
dc.identifier.issue3en_HK
dc.identifier.spage407en_HK
dc.identifier.epage420en_HK
dc.identifier.isiWOS:000263506500004-
dc.publisher.placeNetherlandsen_HK
dc.relation.projectData assimilation for forecasting of coastal water quality-
dc.identifier.scopusauthoridWong, KTM=24315177100en_HK
dc.identifier.scopusauthoridLee, JHW=36078318900en_HK
dc.identifier.scopusauthoridHarrison, PJ=9533159800en_HK

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