Publicação
Use of chemometric analyses to assess biological wastewater treatment plants by protozoa and metazoa monitoring
| Resumo: | Protozoa and metazoa biota communities in biological wastewater treatment plants (WWTP) are known to be dependent of both the plant type (oxidation ditch, trickling filter, conventional activated sludge, among others) and the working operational conditions (incoming effluent characteristics, toxics presence, organic load, aeration, hydraulic and sludge retention times, nitrification occurrence, etc.). Thus, for analogous WWTP operating in equivalent operating conditions, similar protozoa and metazoa communities can be found. Indeed, the protozoa and metazoa biota monitoring can be considered a quite useful tool for assessing the functioning of biological WWTP. Furthermore, the use of chemometric techniques in WWTP monitoring is becoming widespread to enlighten interrelationships within the plant, especially when a large collection of data can be obtained. In the current study, the protozoa and metazoa communities of three different types of WWTP, comprising one oxidation ditch, four trickling filters, and three conventional activated sludge plants, were monitored. For that purpose, metazoa, as well as the main protozoa groups (flagellates, free-swimming, crawling and sessile ciliates, and testate amoeba) were determined in terms of contents and relative abundance. The collected data was further processed by chemometric techniques, such as cross-correlation, principal components, multivariate ANOVA, and decision trees analyses, allowing to successfully identify, and characterize, the different studied WWTP, and thus, being able to help monitoring and diagnosing operational problems. |
|---|---|
| Autores principais: | Amaral, A. Luís |
| Outros Autores: | Leal, Cristiano; Vaz, A. Isabel; Vieira, J. Carvalho; Quinteiro, Andreia C.; Costa, M. Lourdes; Castro, L. Miguel |
| Assunto: | Aerobic wastewater treatment plants Operational assessment Microbiota monitoring Principal component analysis Decision trees |
| Ano: | 2018 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso restrito |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| _version_ | 1867439227749269504 |
|---|---|
| author | Amaral, A. Luís |
| author2 | Leal, Cristiano Vaz, A. Isabel Vieira, J. Carvalho Quinteiro, Andreia C. Costa, M. Lourdes Castro, L. Miguel |
| author2_role | author author author author author author |
| author_facet | Amaral, A. Luís Leal, Cristiano Vaz, A. Isabel Vieira, J. Carvalho Quinteiro, Andreia C. Costa, M. Lourdes Castro, L. Miguel |
| author_role | author |
| contributor_name_str_mv | RepositóriUM - Universidade do Minho |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Amaral, A. Luís\"},{\"Person.name\":\"Leal, Cristiano\"},{\"Person.name\":\"Vaz, A. Isabel\"},{\"Person.name\":\"Vieira, J. Carvalho\"},{\"Person.name\":\"Quinteiro, Andreia C.\"},{\"Person.name\":\"Costa, M. Lourdes\"},{\"Person.name\":\"Castro, L. Miguel\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | RepositóriUM - Universidade do Minho |
| datacite.creators.creator.creatorName.fl_str_mv | Amaral, A. Luís Leal, Cristiano Vaz, A. Isabel Vieira, J. Carvalho Quinteiro, Andreia C. Costa, M. Lourdes Castro, L. Miguel |
| datacite.date.Accepted.fl_str_mv | 2018-08-02T00:00:00Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_16ec |
| datacite.subjects.subject.fl_str_mv | Aerobic wastewater treatment plants Operational assessment Microbiota monitoring Principal component analysis Decision trees |
| datacite.titles.title.fl_str_mv | Use of chemometric analyses to assess biological wastewater treatment plants by protozoa and metazoa monitoring |
| dc.contributor.none.fl_str_mv | RepositóriUM - Universidade do Minho |
| dc.creator.none.fl_str_mv | Amaral, A. Luís Leal, Cristiano Vaz, A. Isabel Vieira, J. Carvalho Quinteiro, Andreia C. Costa, M. Lourdes Castro, L. Miguel |
| dc.date.Accepted.fl_str_mv | 2018-08-02T00:00:00Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://hdl.handle.net/1822/55593 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Springer Nature |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_16ec |
| dc.subject.none.fl_str_mv | Aerobic wastewater treatment plants Operational assessment Microbiota monitoring Principal component analysis Decision trees |
| dc.title.fl_str_mv | Use of chemometric analyses to assess biological wastewater treatment plants by protozoa and metazoa monitoring |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | Protozoa and metazoa biota communities in biological wastewater treatment plants (WWTP) are known to be dependent of both the plant type (oxidation ditch, trickling filter, conventional activated sludge, among others) and the working operational conditions (incoming effluent characteristics, toxics presence, organic load, aeration, hydraulic and sludge retention times, nitrification occurrence, etc.). Thus, for analogous WWTP operating in equivalent operating conditions, similar protozoa and metazoa communities can be found. Indeed, the protozoa and metazoa biota monitoring can be considered a quite useful tool for assessing the functioning of biological WWTP. Furthermore, the use of chemometric techniques in WWTP monitoring is becoming widespread to enlighten interrelationships within the plant, especially when a large collection of data can be obtained. In the current study, the protozoa and metazoa communities of three different types of WWTP, comprising one oxidation ditch, four trickling filters, and three conventional activated sludge plants, were monitored. For that purpose, metazoa, as well as the main protozoa groups (flagellates, free-swimming, crawling and sessile ciliates, and testate amoeba) were determined in terms of contents and relative abundance. The collected data was further processed by chemometric techniques, such as cross-correlation, principal components, multivariate ANOVA, and decision trees analyses, allowing to successfully identify, and characterize, the different studied WWTP, and thus, being able to help monitoring and diagnosing operational problems. |
| dirty | 0 |
| eu_rights_str_mv | restrictedAccess |
| format | article |
| fulltext.url.fl_str_mv | https://repositorium.uminho.pt/bitstreams/c753ea36-381f-46f7-b64d-fbadac93a20f/download |
| id | rum_2e92fa9cfb7b0ab88694ea9629b2bc6b |
| identifier.url.fl_str_mv | https://hdl.handle.net/1822/55593 |
| instacron_str | repositorium |
| institution | Universidade do Minho |
| instname_str | Universidade do Minho |
| language | eng |
| network_acronym_str | rum |
| network_name_str | RepositóriUM - Universidade do Minho |
| oai_identifier_str | oai:repositorium.uminho.pt:1822/55593 |
| organization_str_mv | urn:organizationAcronym:repositorium |
| person_str_mv | Amaral, A. Luís Leal, Cristiano Vaz, A. Isabel Vieira, J. Carvalho Quinteiro, Andreia C. Costa, M. Lourdes Castro, L. Miguel |
| publishDate | 2018 |
| publisher.none.fl_str_mv | Springer Nature |
| reponame_str | RepositóriUM - Universidade do Minho |
| repository_id_str | urn:repositoryAcronym:rum |
| service_str_mv | urn:repositoryAcronym:rum |
| spelling | engSpringer NatureporProtozoa and metazoa biota communities in biological wastewater treatment plants (WWTP) are known to be dependent of both the plant type (oxidation ditch, trickling filter, conventional activated sludge, among others) and the working operational conditions (incoming effluent characteristics, toxics presence, organic load, aeration, hydraulic and sludge retention times, nitrification occurrence, etc.). Thus, for analogous WWTP operating in equivalent operating conditions, similar protozoa and metazoa communities can be found. Indeed, the protozoa and metazoa biota monitoring can be considered a quite useful tool for assessing the functioning of biological WWTP. Furthermore, the use of chemometric techniques in WWTP monitoring is becoming widespread to enlighten interrelationships within the plant, especially when a large collection of data can be obtained. In the current study, the protozoa and metazoa communities of three different types of WWTP, comprising one oxidation ditch, four trickling filters, and three conventional activated sludge plants, were monitored. For that purpose, metazoa, as well as the main protozoa groups (flagellates, free-swimming, crawling and sessile ciliates, and testate amoeba) were determined in terms of contents and relative abundance. The collected data was further processed by chemometric techniques, such as cross-correlation, principal components, multivariate ANOVA, and decision trees analyses, allowing to successfully identify, and characterize, the different studied WWTP, and thus, being able to help monitoring and diagnosing operational problems.application/pdfporUse of chemometric analyses to assess biological wastewater treatment plants by protozoa and metazoa monitoringAmaral, A. LuísLeal, CristianoVaz, A. IsabelVieira, J. CarvalhoQuinteiro, Andreia C.Costa, M. LourdesCastro, L. MiguelHostingInstitutionOrganizationalRepositóriUM - Universidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.ptCITATIONAmaral, A. Luís; Leal, Cristiano; Vaz, A. Isabel; Vieira, J. Carvalho; Quinteiro, Andreia C.; Costa, M. Lourdes; Castro, L. Miguel, Use of chemometric analyses to assess biological wastewater treatment plants by protozoa and metazoa monitoring. Environmental Monitoring and Assessment, 190(9), 497-497, 2018PMID30073627ISSNIsPartOf0167-6369EISSNIsPartOf1573-2959DOIIsPartOf10.1007/s10661-018-6882-12018-08-022018-08-04T14:13:22Z2018-08-02T00:00:00ZHandlehttps://hdl.handle.net/1822/55593http://purl.org/coar/access_right/c_16ecrestricted accessAerobic wastewater treatment plantsOperational assessmentMicrobiota monitoringPrincipal component analysisDecision trees1718178 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_16ecapplication/pdffulltexthttps://repositorium.uminho.pt/bitstreams/c753ea36-381f-46f7-b64d-fbadac93a20f/download |
| spellingShingle | Use of chemometric analyses to assess biological wastewater treatment plants by protozoa and metazoa monitoring Amaral, A. Luís Aerobic wastewater treatment plants Operational assessment Microbiota monitoring Principal component analysis Decision trees |
| status | SINGLETON |
| subject.fl_str_mv | Aerobic wastewater treatment plants Operational assessment Microbiota monitoring Principal component analysis Decision trees |
| title | Use of chemometric analyses to assess biological wastewater treatment plants by protozoa and metazoa monitoring |
| title_full | Use of chemometric analyses to assess biological wastewater treatment plants by protozoa and metazoa monitoring |
| title_fullStr | Use of chemometric analyses to assess biological wastewater treatment plants by protozoa and metazoa monitoring |
| title_full_unstemmed | Use of chemometric analyses to assess biological wastewater treatment plants by protozoa and metazoa monitoring |
| title_short | Use of chemometric analyses to assess biological wastewater treatment plants by protozoa and metazoa monitoring |
| title_sort | Use of chemometric analyses to assess biological wastewater treatment plants by protozoa and metazoa monitoring |
| topic | Aerobic wastewater treatment plants Operational assessment Microbiota monitoring Principal component analysis Decision trees |
| topic_facet | Aerobic wastewater treatment plants Operational assessment Microbiota monitoring Principal component analysis Decision trees |
| url | https://hdl.handle.net/1822/55593 |
| visible | 1 |