Survey of Protozoa and Metazoa populations in wastewater treatment plants by image analysis and discriminant analysis
Identifieur interne : 000836 ( Istex/Corpus ); précédent : 000835; suivant : 000837Survey of Protozoa and Metazoa populations in wastewater treatment plants by image analysis and discriminant analysis
Auteurs : A. L. Amaral ; M. Da Motta ; M. N. Pons ; H. Vivier ; N. Roche ; M. Mota ; E. C. FerreiraSource :
- Environmetrics [ 1180-4009 ] ; 2004-06.
English descriptors
- KwdEn :
- Amaral, Body descriptors, Body width, Ciliate, Ciliate protozoa, Cilium, Commercial software, Copyright, Data translation, Descriptor, Discriminant, Discriminant analysis, Discriminant function, Discriminant functions, Engenharia biologica, Environmetrics, Equivalent diameter, Form factor, Fundacao para, Genus, Global recognition percentage, Image acquisition, Image analysis, Initial descriptors, John wiley sons, Largest concavity index, Largest feret diameter, Location zones, Main discriminant functions, Main protozoa, Main steps, Metazoa, Metazoa groups, Metazoa populations, Metazoa species, Morphological descriptors, National council, Original descriptors, Perimeter, Perimeter factor, Plant conditions, Present address, Protozoa, Protozoa groups, Sarcodine, Sarcodine protozoa, Skilled workers, Standard deviation, Technological development, Variability percentage, Wastewater, Wastewater treatment, Wastewater treatment plant, Wastewater treatment plant diagnosis, Wastewater treatment plants, Wmwb, Wmwb ratio.
- Teeft :
- Amaral, Body descriptors, Body width, Ciliate, Ciliate protozoa, Cilium, Commercial software, Copyright, Data translation, Descriptor, Discriminant, Discriminant analysis, Discriminant function, Discriminant functions, Engenharia biologica, Environmetrics, Equivalent diameter, Form factor, Fundacao para, Genus, Global recognition percentage, Image acquisition, Image analysis, Initial descriptors, John wiley sons, Largest concavity index, Largest feret diameter, Location zones, Main discriminant functions, Main protozoa, Main steps, Metazoa, Metazoa groups, Metazoa populations, Metazoa species, Morphological descriptors, National council, Original descriptors, Perimeter, Perimeter factor, Plant conditions, Present address, Protozoa, Protozoa groups, Sarcodine, Sarcodine protozoa, Skilled workers, Standard deviation, Technological development, Variability percentage, Wastewater, Wastewater treatment, Wastewater treatment plant, Wastewater treatment plant diagnosis, Wastewater treatment plants, Wmwb, Wmwb ratio.
Abstract
The biota present in the activated sludge of a wastewater treatment plant are mainly composed of bacteria, Protozoa and Metazoa. The Protozoa and Metazoa species are important micro‐organisms taking part in the ecosystem balance in wastewater treatment plants and are quite sensitive to physical, chemical and operational processes. Several authors have established relationships between the predominance of certain species or groups and some variables of the plant. Such analysis demands the identification and quantification of the different species, which requires skilled workers, specializing in zoology or protozoology, and is time‐consuming. To overcome those problems, semi‐automatic image analysis and discriminant analysis were carried out for the identification procedures. The overall results were very promising in terms of Protozoa and Metazoa group recognition and of survey of plant conditions. Copyright © 2004 John Wiley & Sons, Ltd.
Url:
DOI: 10.1002/env.652
Links to Exploration step
ISTEX:46FD6D33DDF42276340A1C11AD0E2E39E743B214Le document en format XML
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The Protozoa and Metazoa species are important micro‐organisms taking part in the ecosystem balance in wastewater treatment plants and are quite sensitive to physical, chemical and operational processes. Several authors have established relationships between the predominance of certain species or groups and some variables of the plant. Such analysis demands the identification and quantification of the different species, which requires skilled workers, specializing in zoology or protozoology, and is time‐consuming. To overcome those problems, semi‐automatic image analysis and discriminant analysis were carried out for the identification procedures. The overall results were very promising in terms of Protozoa and Metazoa group recognition and of survey of plant conditions. Copyright © 2004 John Wiley & Sons, Ltd.</div></front></TEI><istex><corpusName>wiley</corpusName><keywords><teeft><json:string>metazoa</json:string><json:string>descriptor</json:string><json:string>discriminant</json:string><json:string>john wiley sons</json:string><json:string>environmetrics</json:string><json:string>copyright</json:string><json:string>ciliate</json:string><json:string>discriminant analysis</json:string><json:string>wmwb</json:string><json:string>image analysis</json:string><json:string>cilium</json:string><json:string>sarcodine</json:string><json:string>metazoa populations</json:string><json:string>metazoa species</json:string><json:string>global recognition percentage</json:string><json:string>amaral</json:string><json:string>wastewater treatment plant</json:string><json:string>wastewater treatment plants</json:string><json:string>morphological descriptors</json:string><json:string>discriminant functions</json:string><json:string>perimeter</json:string><json:string>wastewater</json:string><json:string>protozoa</json:string><json:string>plant conditions</json:string><json:string>main discriminant functions</json:string><json:string>image acquisition</json:string><json:string>sarcodine protozoa</json:string><json:string>initial descriptors</json:string><json:string>ciliate protozoa</json:string><json:string>wmwb ratio</json:string><json:string>equivalent diameter</json:string><json:string>genus</json:string><json:string>wastewater treatment</json:string><json:string>wastewater treatment plant diagnosis</json:string><json:string>engenharia biologica</json:string><json:string>skilled workers</json:string><json:string>largest feret diameter</json:string><json:string>form factor</json:string><json:string>largest concavity index</json:string><json:string>perimeter factor</json:string><json:string>body width</json:string><json:string>present address</json:string><json:string>original descriptors</json:string><json:string>fundacao para</json:string><json:string>location zones</json:string><json:string>discriminant function</json:string><json:string>standard deviation</json:string><json:string>national council</json:string><json:string>technological development</json:string><json:string>data translation</json:string><json:string>body descriptors</json:string><json:string>variability percentage</json:string><json:string>protozoa groups</json:string><json:string>main steps</json:string><json:string>main protozoa</json:string><json:string>metazoa groups</json:string><json:string>commercial software</json:string></teeft></keywords><author><json:item><name>A. L. Amaral</name><affiliations><json:string>Centro de Engenharia Biológica, Universidade do Minho, 4710‐057 Braga, Portugal</json:string><json:string>Current Address: Departamento de Tecnologia Química, Escola Superior de Tecnologia e de Gestão, Instituto Politécnico de Bragança, Campus de Santa Apolónia, Apartado 1038, 5301‐854 Bragança, Portugal.</json:string></affiliations></json:item><json:item><name>M. da Motta</name><affiliations><json:string>Laboratoire des Sciences du Génie Chimique, CNRS‐ENSIC‐INPL, 1 rue Grandville, F‐54001 Nancy cedex, France</json:string><json:string>Current Address: Departamento de Engenharia Química, Universidade Federal de Pernambuco UFPE, Cidade Universitária, Recife, Brasil 50.740‐521, PE, Brasil.</json:string></affiliations></json:item><json:item><name>M. N. Pons</name><affiliations><json:string>Laboratoire des Sciences du Génie Chimique, CNRS‐ENSIC‐INPL, 1 rue Grandville, F‐54001 Nancy cedex, France</json:string></affiliations></json:item><json:item><name>H. Vivier</name><affiliations><json:string>Laboratoire des Sciences du Génie Chimique, CNRS‐ENSIC‐INPL, 1 rue Grandville, F‐54001 Nancy cedex, France</json:string><json:string>Laboratoire Chimie et Environnement, Faculté des Sciences, 23 rue Paul Michelon, F‐42023 St Etienne cedex 2, France</json:string></affiliations></json:item><json:item><name>N. Roche</name><affiliations><json:string>UT de Marseille, Dept Génie Chimique, Génie des Procédés Laboratoire en Procédés Propres et Environnement—EA 884—Université d'Aix‐Marseille 142, traverse C. Susini, BP 157—F‐13388 Marseille cedex 13, France</json:string></affiliations></json:item><json:item><name>M. Mota</name><affiliations><json:string>Centro de Engenharia Biológica, Universidade do Minho, 4710‐057 Braga, Portugal</json:string></affiliations></json:item><json:item><name>E. C. Ferreira</name><affiliations><json:string>Centro de Engenharia Biológica, Universidade do Minho, 4710‐057 Braga, Portugal</json:string><json:string>Centro de Engenharia Biológica, Universidade do Minho, 4710‐057 Braga, Portugal.</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>activated sludge</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Protozoa</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Metazoa</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>image analysis</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>discriminant analysis</value></json:item></subject><articleId><json:string>ENV652</json:string></articleId><language><json:string>eng</json:string></language><originalGenre><json:string>article</json:string></originalGenre><abstract>The biota present in the activated sludge of a wastewater treatment plant are mainly composed of bacteria, Protozoa and Metazoa. The Protozoa and Metazoa species are important micro‐organisms taking part in the ecosystem balance in wastewater treatment plants and are quite sensitive to physical, chemical and operational processes. Several authors have established relationships between the predominance of certain species or groups and some variables of the plant. Such analysis demands the identification and quantification of the different species, which requires skilled workers, specializing in zoology or protozoology, and is time‐consuming. To overcome those problems, semi‐automatic image analysis and discriminant analysis were carried out for the identification procedures. The overall results were very promising in terms of Protozoa and Metazoa group recognition and of survey of plant conditions. 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L.</forename><surname>Amaral</surname></persName><affiliation>Centro de Engenharia Biológica, Universidade do Minho, 4710‐057 Braga, Portugal<address><country key="PT"></country></address></affiliation><affiliation>Current Address: Departamento de Tecnologia Química, Escola Superior de Tecnologia e de Gestão, Instituto Politécnico de Bragança, Campus de Santa Apolónia, Apartado 1038, 5301‐854 Bragança, Portugal.<address><country key="PT"></country></address></affiliation></author><author xml:id="author-0001"><persName><forename type="first">M.</forename><surname>da Motta</surname></persName><affiliation>Laboratoire des Sciences du Génie Chimique, CNRS‐ENSIC‐INPL, 1 rue Grandville, F‐54001 Nancy cedex, France<address><country key="FR"></country></address></affiliation><affiliation>Current Address: Departamento de Engenharia Química, Universidade Federal de Pernambuco UFPE, Cidade Universitária, Recife, Brasil 50.740‐521, PE, Brasil.</affiliation></author><author xml:id="author-0002"><persName><forename type="first">M. 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C.</forename><surname>Ferreira</surname></persName><email>ecferreira@deb.uminho.pt</email><affiliation>Centro de Engenharia Biológica, Universidade do Minho, 4710‐057 Braga, Portugal<address><country key="PT"></country></address></affiliation><affiliation>Centro de Engenharia Biológica, Universidade do Minho, 4710‐057 Braga, Portugal.</affiliation></author><idno type="istex">46FD6D33DDF42276340A1C11AD0E2E39E743B214</idno><idno type="ark">ark:/67375/WNG-B80HRCQ1-T</idno><idno type="DOI">10.1002/env.652</idno><idno type="unit">ENV652</idno><idno type="toTypesetVersion">file:ENV.ENV652.pdf</idno></analytic><monogr><title level="j" type="main">Environmetrics</title><title level="j" type="alt">ENVIRONMETRICS</title><idno type="pISSN">1180-4009</idno><idno type="eISSN">1099-095X</idno><idno type="book-DOI">10.1002/(ISSN)1099-095X</idno><idno type="book-part-DOI">10.1002/env.v15:4</idno><idno type="product">ENV</idno><imprint><biblScope unit="vol">15</biblScope><biblScope unit="issue">4</biblScope><biblScope unit="page" from="381">381</biblScope><biblScope unit="page" to="390">390</biblScope><biblScope unit="page-count">10</biblScope><publisher>John Wiley & Sons, Ltd.</publisher><pubPlace>Chichester, UK</pubPlace><date type="published" when="2004-06"></date></imprint></monogr></biblStruct></sourceDesc></fileDesc><profileDesc><abstract xml:lang="en" style="main"><head>Abstract</head><p>The biota present in the activated sludge of a wastewater treatment plant are mainly composed of bacteria, Protozoa and Metazoa. 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C.</namePart><namePart type="family">Ferreira</namePart><affiliation>Centro de Engenharia Biológica, Universidade do Minho, 4710‐057 Braga, Portugal</affiliation><affiliation>E-mail: ecferreira@deb.uminho.pt</affiliation><affiliation>Correspondence address: Centro de Engenharia Biológica, Universidade do Minho, 4710‐057 Braga, Portugal.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article" authority="ISTEX" authorityURI="https://content-type.data.istex.fr" valueURI="https://content-type.data.istex.fr/ark:/67375/XTP-6N5SZHKN-D">article</genre><originInfo><publisher>John Wiley & Sons, Ltd.</publisher><place><placeTerm type="text">Chichester, UK</placeTerm></place><dateIssued encoding="w3cdtf">2004-06</dateIssued><dateCaptured encoding="w3cdtf">2002-07-07</dateCaptured><dateValid encoding="w3cdtf">2003-10-18</dateValid><copyrightDate encoding="w3cdtf">2004</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><extent unit="figures">2</extent><extent unit="tables">5</extent><extent unit="references">11</extent></physicalDescription><abstract lang="en">The biota present in the activated sludge of a wastewater treatment plant are mainly composed of bacteria, Protozoa and Metazoa. 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