Time series models for beach pollution
Beach pollution was assessed visually by beach inspectors on a five-point ratings scale as 0, 1, 2, 3 or 4 corresponding to pollution levels of None, Low, Trace, Medium or High, respectively. The data consisted of 640 days of pollution ratings at 34 beaches in Sydney, Australia, together with concom...
Saved in:
| Published in: | Environmental software Vol. 11; no. 1; pp. 25 - 33 |
|---|---|
| Main Author: | |
| Format: | Journal Article Conference Proceeding |
| Language: | English |
| Published: |
Elsevier B.V
1996
|
| Subjects: | |
| ISSN: | 0266-9838 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | Beach pollution was assessed visually by beach inspectors on a five-point ratings scale as 0, 1, 2, 3 or 4 corresponding to pollution levels of None, Low, Trace, Medium or High, respectively. The data consisted of 640 days of pollution ratings at 34 beaches in Sydney, Australia, together with concomitant wind, rain, ocean current and temperature information. Development of statistically significant relationships between the more subjectively measured pollution data and the more objectively quantified physical variables not only served to explain the occurrence of pollution but lent credibility to the ratings scale itself as a useful measure of visual pollution. Methods for analysing qualitative data were combined with time series models to account for the influence of the physical variables, whose effects were subject to delay and dissipation over time. The GLIM statistical language is suitable for modelling ratings data. It is not generally used for time series modelling. Most commonly available time series software is not suitable for ratings data. The application here required a combination of the two methodologies. Special purpose models were formulated and then software written in the GLIM language to estimate time series models with the survey ratings scale data as the dependent variable and the physical data as the independent variables. The work also raises the possibility of developing forecasts for pollution-free days and led to the development of a new estimation scheme for time series models. |
|---|---|
| AbstractList | Beach pollution was assessed visually by beach inspectors on a five-point ratings scale as 0, 1, 2, 3 or 4 corresponding to pollution levels of None, Low, Trace, Medium or High, respectively. The data consisted of 640 days of pollution ratings at 34 beaches in Sydney, Australia, together with concomitant wind, rain, ocean current and temperature information. Development of statistically significant relationships between the more subjectively measured pollution data and the more objectively quantified physical variables not only served to explain the occurrence of pollution but lent credibility to the ratings scale itself as a useful measure of visual pollution. Methods for analyzing qualitative data were combined with time series models to account for the influence of the physical variables, whose effects were subject to delay and dissipation over time. The GLIM statistical language is suitable for modelling ratings data. It is not generally used for time series modelling. Most commonly available time series software is not suitable for ratings data. The application here required a combination of the two methodologies. Special purpose models were formulated and then software written in the GLIM language to estimate time series models with the survey ratings scale data as the dependent variable and the physical data as the independent variables. The work also raises the possibility of developing forecasts for pollution-free days and led to the development of a new estimation scheme for time series models. Beach pollution was assessed visually by beach inspectors on a five-point ratings scale as 0, 1, 2, 3 or 4 corresponding to pollution levels of None, Low, Trace, Medium or High, respectively. The data consisted of 640 days of pollution ratings at 34 beaches in Sydney, Australia, together with concomitant wind, rain, ocean current and temperature information. Development of statistically significant relationships between the more subjectively measured pollution data and the more objectively quantified physical variables not only served to explain the occurrence of pollution but lent credibility to the ratings scale itself as a useful measure of visual pollution. Methods for analysing qualitative data were combined with time series models to account for the influence of the physical variables, whose effects were subject to delay and dissipation over time. The GLIM statistical language is suitable for modelling ratings data. It is not generally used for time series modelling. Most commonly available time series software is not suitable for ratings data. The application here required a combination of the two methodologies. Special purpose models were formulated and then software written in the GLIM language to estimate time series models with the survey ratings scale data as the dependent variable and the physical data as the independent variables. The work also raises the possibility of developing forecasts for pollution-free days and led to the development of a new estimation scheme for time series models. |
| Author | Jellett, P.M. |
| Author_xml | – sequence: 1 givenname: P.M. surname: Jellett fullname: Jellett, P.M. organization: School of Information Studies, Charles Sturt University, Locked Bag 675, Wagga Wagga, NSW 2678, Australia |
| BookMark | eNqNkU1LAzEURbOoYFv9CcKsii5GXzKTN5OVSPELCi6s65BmXjAyndRkKvjvnbbitq4ePM69i3smbNSFjhi74HDNgePNKwjEXNVFfanwCgAKkasRG_-9T9kkpQ8AXmGtxmy29GvKEkVPKVuHhtqUuRCzFRn7nm1C2257H7ozduJMm-j8907Z28P9cv6UL14en-d3i9wWlepzkqo2Dg1U5IwhI5SrCulKZ3kNNanCSSEQCAcEjUGLK26UcYYLWbpVU0zZ7NC7ieFzS6nXa58sta3pKGyTFlhCKTkcBTlCJUsQ_wFRAMrjoKwrqRAHUB5AG0NKkZzeRL828Vtz0DsJei9B79bWCvVeglZD7vaQGzamL09RJ-ups9T4SLbXTfBHGn4AsSyRFA |
| Cites_doi | 10.2307/2344614 |
| ContentType | Journal Article Conference Proceeding |
| Copyright | 1996 |
| Copyright_xml | – notice: 1996 |
| DBID | AAYXX CITATION 7TV 7UA C1K 7SC 7SU 8FD FR3 JQ2 L7M L~C L~D |
| DOI | 10.1016/S0266-9838(96)00032-9 |
| DatabaseName | CrossRef Pollution Abstracts Water Resources Abstracts Environmental Sciences and Pollution Management Computer and Information Systems Abstracts Environmental Engineering Abstracts Technology Research Database Engineering Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional |
| DatabaseTitle | CrossRef Pollution Abstracts Water Resources Abstracts Environmental Sciences and Pollution Management Technology Research Database Computer and Information Systems Abstracts – Academic Environmental Engineering Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Engineering Research Database Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Professional |
| DatabaseTitleList | Technology Research Database Pollution Abstracts |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| Editor | Hansen, D Jakeman, A (eds) |
| Editor_xml | – fullname: Hansen, D – fullname: Jakeman, A (eds) |
| EndPage | 33 |
| ExternalDocumentID | 308202327 293497 291076 10_1016_S0266_9838_96_00032_9 S0266983896000329 |
| Genre | Conference Book |
| GeographicLocations | Australia, New South Wales, Sydney |
| GeographicLocations_xml | – name: Australia, New South Wales, Sydney |
| GroupedDBID | --K --M -~X .~1 0R~ 1B1 1RT 1~. 1~5 29G 4G. 5GY 5VS 7-5 8P~ AABNK AACTN AAEDT AAEDW AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AAXUO AAYFN ABBOA ABMAC ABXDB ABYKQ ACDAQ ACGFS ACNNM ACRLP ADBBV ADEZE ADJOM ADMUD AEKER AFKWA AFTJW AFXIZ AGHFR AGUBO AGYEJ AHEUO AHHHB AIEXJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ ASPBG AVWKF AXJTR AZFZN BKOJK BLXMC CS3 EBS EFJIC EJD EO8 EO9 EP2 EP3 FDB FGOYB FIRID FNPLU FYGXN G-2 G-Q GBOLZ HMC HZ~ IHE KCYFY KOM LY9 M41 MO0 O-L O9- OAUVE P-9 PC. Q38 R2- RIG ROL RPZ SDF SEN SPC SSJ SSV SSZ T5K UHS WUQ AATTM AAXKI AAYWO AAYXX ABJNI ABWVN ACLOT ACRPL ACVFH ADCNI ADNMO AEGFY AEIPS AEUPX AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU CITATION EFKBS ~HD 7TV 7UA C1K 7SC 7SU 8FD FR3 JQ2 L7M L~C L~D |
| ID | FETCH-LOGICAL-c379t-e598af6a07efaaea29f735f4fc1808e93f52260e66a06aa6c6b1a9afa1254fbd3 |
| ISICitedReferencesCount | 0 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=10_1016_S0266_9838_96_00032_9&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0266-9838 |
| IngestDate | Tue Oct 07 10:13:51 EDT 2025 Sun Sep 28 04:53:07 EDT 2025 Mon Sep 29 03:21:59 EDT 2025 Tue Oct 07 09:40:01 EDT 2025 Sat Nov 29 03:10:04 EST 2025 Fri Feb 23 02:30:45 EST 2024 |
| IsPeerReviewed | false |
| IsScholarly | false |
| Issue | 1 |
| Keywords | contingency tables survey data ratings scale pollution Time series |
| Language | English |
| License | https://www.elsevier.com/tdm/userlicense/1.0 |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c379t-e598af6a07efaaea29f735f4fc1808e93f52260e66a06aa6c6b1a9afa1254fbd3 |
| Notes | SourceType-Books-1 ObjectType-Book-1 content type line 25 ObjectType-Conference-2 ObjectType-Article-2 SourceType-Scholarly Journals-2 ObjectType-Feature-1 content type line 23 SourceType-Conference Papers & Proceedings-1 ObjectType-Conference-3 ObjectType-Feature-2 ObjectType-Conference Paper-1 ObjectType-Article-3 |
| PQID | 15875966 |
| PQPubID | 23462 |
| PageCount | 9 |
| ParticipantIDs | proquest_miscellaneous_26404510 proquest_miscellaneous_16075402 proquest_miscellaneous_16062065 proquest_miscellaneous_15875966 crossref_primary_10_1016_S0266_9838_96_00032_9 elsevier_sciencedirect_doi_10_1016_S0266_9838_96_00032_9 |
| PublicationCentury | 1900 |
| PublicationDate | 1996 1996-1-00 19960101 |
| PublicationDateYYYYMMDD | 1996-01-01 |
| PublicationDate_xml | – year: 1996 text: 1996 |
| PublicationDecade | 1990 |
| PublicationTitle | Environmental software |
| PublicationYear | 1996 |
| Publisher | Elsevier B.V |
| Publisher_xml | – name: Elsevier B.V |
| References | Nelder, Wedderburn (BIB2) 1972; A Bishop, Fienberg, Holland (BIB1) 1980 Young (BIB3) 1984 Young (10.1016/S0266-9838(96)00032-9_BIB3) 1984 Nelder (10.1016/S0266-9838(96)00032-9_BIB2) 1972; A Bishop (10.1016/S0266-9838(96)00032-9_BIB1) 1980 |
| References_xml | – volume: A start-page: 370 year: 1972 end-page: 384 ident: BIB2 article-title: Generalised linear models publication-title: Journal of the Royal Statistical Society – start-page: 300 year: 1984 ident: BIB3 article-title: Recursive Estimation and Time-Series Analysis: An Introduction – start-page: 557 year: 1980 ident: BIB1 article-title: Discrete Multivariate Analysis – volume: A start-page: 370 issue: 135 year: 1972 ident: 10.1016/S0266-9838(96)00032-9_BIB2 article-title: Generalised linear models publication-title: Journal of the Royal Statistical Society doi: 10.2307/2344614 – start-page: 300 year: 1984 ident: 10.1016/S0266-9838(96)00032-9_BIB3 article-title: Recursive Estimation and Time-Series Analysis: An Introduction – start-page: 557 year: 1980 ident: 10.1016/S0266-9838(96)00032-9_BIB1 article-title: Discrete Multivariate Analysis |
| SSID | ssj0017689 |
| Score | 1.2428149 |
| Snippet | Beach pollution was assessed visually by beach inspectors on a five-point ratings scale as 0, 1, 2, 3 or 4 corresponding to pollution levels of None, Low,... |
| SourceID | proquest crossref elsevier |
| SourceType | Aggregation Database Index Database Publisher |
| StartPage | 25 |
| SubjectTerms | Beaches Computer programming languages Computer software contingency tables Data reduction Mathematical models pollution Pollution detection Q1 ratings scale survey data Surveys Time series Time series analysis |
| Title | Time series models for beach pollution |
| URI | https://dx.doi.org/10.1016/S0266-9838(96)00032-9 https://www.proquest.com/docview/15875966 https://www.proquest.com/docview/16062065 https://www.proquest.com/docview/16075402 https://www.proquest.com/docview/26404510 |
| Volume | 11 |
| WOSCitedRecordID | wos10_1016_S0266_9838_96_00032_9&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 issn: 0266-9838 databaseCode: AIEXJ dateStart: 19950101 customDbUrl: isFulltext: true dateEnd: 19961231 titleUrlDefault: https://www.sciencedirect.com omitProxy: false ssIdentifier: ssj0017689 providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3NT9swFLdG2QFOY2MasLEcJrRp8pbEreN3nFDRhqoOaUXqzXJjW-JAKG2B_vm8V7tJx6d22CWKLCe23i95_j37fTD2Sag2ZA4st84r3na-w8GqFP94I-nIMBN2gXSv6PfVcAgnMdnndFFOoKgqNZ_D-L9CjW0INoXO_gPc9UuxAe8RdLwi7Hi9D_yD60-3CV6jaBBUtDdm8vfHcXbuvtJsXKyFMw1um-RaSXUbwvxq7xra3I_uvHH31MbAudV9gqBOcCnmoEIulVr3ZasYc_GgUg32_Z_6BUh9AVuo3KjIOTQryfL0vP9bH532enrQHQ4OxpecanzRWXgseLLG1nMhFeqj9R-_usPj-tQHTR8Ie2JhoCbi6nsz-meQX-LIj3GJO6vqgioMXrHtJogyOanh2WIvXPWaba7kf3zDDgiHJOCQBBwSxCFZ4JDUOGyz06Pu4PAnj4UreCkKmHHXAWW8NGnhvDHO5OAL0fFtX2YqVQ6EJ9abOoldpDGylKPMgPEG2Wbbj6x4y1rVReXescQgvXaizG0hKRFSqbwSNrWWMg0aVYx22LelCPQ45CfRjeMeykyTzDSQ8yLKTMMOU0tB6UiyAnnSCPdzj35cClajEqKTJVO5i6upzjpo9qLh_EQPNJRzpLtP9ijQfMgf74HcnbIhpbvPzmOPbTS_wHvWmk2u3Af2sryenU0n-_GzuwVuuHAC |
| linkProvider | Elsevier |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=proceeding&rft.title=Environmental+software&rft.atitle=Time+series+models+for+beach+pollution&rft.au=Jellett%2C+P+M&rft.date=1996-01-01&rft.issn=0266-9838&rft.volume=11&rft.issue=1-3&rft_id=info:doi/10.1016%2FS0266-9838%2896%2900032-9&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0266-9838&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0266-9838&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0266-9838&client=summon |