Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/20142
Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Using Remote Sensing to Aid the Assessment of Human Health Risks from Blooms of Potentially Toxic Cyanobacteria
Authors: Hunter, Peter
Tyler, Andrew
Gilvear, David
Willby, Nigel
Contact Email: p.d.hunter@stir.ac.uk
Keywords: ABILITY
ABSTRACTS
ABUNDANCE
ACCURACY
activities
AFFILIATION
analysis
Assessment
Britain
CHLOROPHYLL -- Spectra
Classification
Copyright
CYANOBACTERIAL blooms -- Monitoring
data
DATA analysis
DECISION
email
ENVIRONMENTAL toxicology
GREAT Britain
GREAT-BRITAIN
guidance
Health
health risks
Intelligence
LAKE
LAKES
LEVEL
levels
Management
model
Monitoring
NUMBER
ORGANIZATION
Population
POPULATIONS
PRODUCT
PRODUCTS
properties
REMOTE sensing
Research
risk
RISK assessment
Risk management
school
Science
Sciences
Scotland
SERIES
SITES
SOCIETIES
Society
SPECTRA
spectrum
Stirling
Technology
UK
universities
WATER
WORLD
World Health Organization
Issue Date: Mar-2009
Publisher: American Chemical Society Publications
Citation: Hunter P, Tyler A, Gilvear D & Willby N (2009) Using Remote Sensing to Aid the Assessment of Human Health Risks from Blooms of Potentially Toxic Cyanobacteria, Environmental Science and Technology, 43 (7), pp. 2627-2633.
Abstract: Mass populations of toxic cyanobacteria in recreational waters can present a serious risk to human health. Intelligence on the abundance and distribution of cyanobacteria is therefore needed to aid risk assessment and management activities. In this paper, we use data from the Compact Airborne Spectrographic Imager-2 (CASI-2) to monitor seasonal change in the concentration of chlorophyll a (Chl a) and the cyanobacterial biomarker pigment C-phycocyanin (C-PC) in a series of shallow lakes in the UK. The World Health Organization guidance levels for cyanobacteria in recreational waters were subsequently used to build a decision tree classification model for cyanobacterial risk assessment which was driven using Chl a and C-PC products derived from the CASI-2 data. The results demonstrate that remote sensing can be used to acquire intelligence on the distribution and abundance of cyanobacteria in inland waterbodies. It is argued the use of remote sensing reconnaissance, in conjunction with in situ based monitoring approaches, would greatly aid the assessment of cyanobacterial risks in inland waters and improve our ability to protect human health. ABSTRACT FROM AUTHORCopyright of Environmental Science & Technology is the property of American Chemical Society and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Type: Journal Article
URI: http://hdl.handle.net/1893/20142
DOI Link: http://dx.doi.org/10.1021/es802977u
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
Affiliation: Biological and Environmental Sciences
Biological and Environmental Sciences
Biological and Environmental Sciences
Biological and Environmental Sciences

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