Determination of Spatial-Temporal Correlation Structure of Troposphere Ozone Data in Tehran City
Spatial-temporal modeling of air pollutants, ground-level ozone concentrations in particular, has attracted recent attention because by using spatial-temporal modeling, can analyze, interpolate or predict ozone levels at any location. In this paper we consider daily averages of troposphere ozone ove...
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| Format: | Article |
| Language: | English |
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University of Tehran
2013-06-01
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| Series: | Journal of Sciences, Islamic Republic of Iran |
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| Online Access: | https://jsciences.ut.ac.ir/article_32084_30b3335bfabacb94ab13a127ce88498d.pdf |
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| author | S.S. Mousavi M. Mohammadzadeh |
| author_facet | S.S. Mousavi M. Mohammadzadeh |
| author_sort | S.S. Mousavi |
| collection | DOAJ |
| description | Spatial-temporal modeling of air pollutants, ground-level ozone concentrations in particular, has attracted recent attention because by using spatial-temporal modeling, can analyze, interpolate or predict ozone levels at any location. In this paper we consider daily averages of troposphere ozone over Tehran city. For eliminating the trend of data, a dynamic linear model is used, then some features of correlation structure of de-trended data, such as stationarity, symmetry and separability are considered. Next based on the obtained features, an appropriate model is proposed. This model can be used for future predictions of ozone in Tehran. |
| format | Article |
| id | doaj-art-cfef5d1f6de0417e82eb4bef4bd0173b |
| institution | DOAJ |
| issn | 1016-1104 2345-6914 |
| language | English |
| publishDate | 2013-06-01 |
| publisher | University of Tehran |
| record_format | Article |
| series | Journal of Sciences, Islamic Republic of Iran |
| spelling | doaj-art-cfef5d1f6de0417e82eb4bef4bd0173b2025-08-20T03:08:50ZengUniversity of TehranJournal of Sciences, Islamic Republic of Iran1016-11042345-69142013-06-0124217117832084Determination of Spatial-Temporal Correlation Structure of Troposphere Ozone Data in Tehran CityS.S. Mousavi0M. Mohammadzadeh1Department of Statistics, Faculty of Science, Tarbiat Modares University, Tehran, Islamic Republic of IranDepartment of Statistics, Faculty of Science, Tarbiat Modares University, Tehran, Islamic Republic of IranSpatial-temporal modeling of air pollutants, ground-level ozone concentrations in particular, has attracted recent attention because by using spatial-temporal modeling, can analyze, interpolate or predict ozone levels at any location. In this paper we consider daily averages of troposphere ozone over Tehran city. For eliminating the trend of data, a dynamic linear model is used, then some features of correlation structure of de-trended data, such as stationarity, symmetry and separability are considered. Next based on the obtained features, an appropriate model is proposed. This model can be used for future predictions of ozone in Tehran.https://jsciences.ut.ac.ir/article_32084_30b3335bfabacb94ab13a127ce88498d.pdfspatial-temporal processdynamic spatial linear modelstationarysymmetryseparability |
| spellingShingle | S.S. Mousavi M. Mohammadzadeh Determination of Spatial-Temporal Correlation Structure of Troposphere Ozone Data in Tehran City Journal of Sciences, Islamic Republic of Iran spatial-temporal process dynamic spatial linear model stationary symmetry separability |
| title | Determination of Spatial-Temporal Correlation Structure of Troposphere Ozone
Data in Tehran City |
| title_full | Determination of Spatial-Temporal Correlation Structure of Troposphere Ozone
Data in Tehran City |
| title_fullStr | Determination of Spatial-Temporal Correlation Structure of Troposphere Ozone
Data in Tehran City |
| title_full_unstemmed | Determination of Spatial-Temporal Correlation Structure of Troposphere Ozone
Data in Tehran City |
| title_short | Determination of Spatial-Temporal Correlation Structure of Troposphere Ozone
Data in Tehran City |
| title_sort | determination of spatial temporal correlation structure of troposphere ozone data in tehran city |
| topic | spatial-temporal process dynamic spatial linear model stationary symmetry separability |
| url | https://jsciences.ut.ac.ir/article_32084_30b3335bfabacb94ab13a127ce88498d.pdf |
| work_keys_str_mv | AT ssmousavi determinationofspatialtemporalcorrelationstructureoftroposphereozonedataintehrancity AT mmohammadzadeh determinationofspatialtemporalcorrelationstructureoftroposphereozonedataintehrancity |