New Role of Thermal Mapping in Winter Maintenance with Principal Components Analysis
Thermal mapping uses IR thermometry to measure road pavement temperature at a high resolution to identify and to map sections of the road network prone to ice occurrence. However, measurements are time-consuming and ultimately only provide a snapshot of road conditions at the time of the survey. As...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2014/254795 |
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| author | Mario Marchetti Lee Chapman Abderrahmen Khalifa Michel Buès |
| author_facet | Mario Marchetti Lee Chapman Abderrahmen Khalifa Michel Buès |
| author_sort | Mario Marchetti |
| collection | DOAJ |
| description | Thermal mapping uses IR thermometry to measure road pavement temperature at a high resolution to identify and to map sections of the road network prone to ice occurrence. However, measurements are time-consuming and ultimately only provide a snapshot of road conditions at the time of the survey. As such, there is a need for surveys to be restricted to a series of specific climatic conditions during winter. Typically, five to six surveys are used, but it is questionable whether the full range of atmospheric conditions is adequately covered. This work investigates the role of statistics in adding value to thermal mapping data. Principal components analysis is used to interpolate between individual thermal mapping surveys to build a thermal map (or even a road surface temperature forecast), for a wider range of climatic conditions than that permitted by traditional surveys. The results indicate that when this approach is used, fewer thermal mapping surveys are actually required. Furthermore, comparisons with numerical models indicate that this approach could yield a suitable verification method for the spatial component of road weather forecasts—a key issue currently in winter road maintenance. |
| format | Article |
| id | doaj-art-85010b1b2f8249bb8f5c3ddf269b218a |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-85010b1b2f8249bb8f5c3ddf269b218a2025-02-03T05:52:02ZengWileyAdvances in Meteorology1687-93091687-93172014-01-01201410.1155/2014/254795254795New Role of Thermal Mapping in Winter Maintenance with Principal Components AnalysisMario Marchetti0Lee Chapman1Abderrahmen Khalifa2Michel Buès3CEREMA-DTer Est-ERA 31, 71 rue de la Grande Haie, 54510 Tomblaine, FranceSchool of Geography, Earth & Environmental Sciences, College of Life and Environmental Sciences, University of Birmingham, Birmingham B15 2TT, UKCEREMA-DTer Est-ERA 31, 71 rue de la Grande Haie, 54510 Tomblaine, FranceUniversité de Lorraine-UMR GeoRessources, 54000 Nancy, FranceThermal mapping uses IR thermometry to measure road pavement temperature at a high resolution to identify and to map sections of the road network prone to ice occurrence. However, measurements are time-consuming and ultimately only provide a snapshot of road conditions at the time of the survey. As such, there is a need for surveys to be restricted to a series of specific climatic conditions during winter. Typically, five to six surveys are used, but it is questionable whether the full range of atmospheric conditions is adequately covered. This work investigates the role of statistics in adding value to thermal mapping data. Principal components analysis is used to interpolate between individual thermal mapping surveys to build a thermal map (or even a road surface temperature forecast), for a wider range of climatic conditions than that permitted by traditional surveys. The results indicate that when this approach is used, fewer thermal mapping surveys are actually required. Furthermore, comparisons with numerical models indicate that this approach could yield a suitable verification method for the spatial component of road weather forecasts—a key issue currently in winter road maintenance.http://dx.doi.org/10.1155/2014/254795 |
| spellingShingle | Mario Marchetti Lee Chapman Abderrahmen Khalifa Michel Buès New Role of Thermal Mapping in Winter Maintenance with Principal Components Analysis Advances in Meteorology |
| title | New Role of Thermal Mapping in Winter Maintenance with Principal Components Analysis |
| title_full | New Role of Thermal Mapping in Winter Maintenance with Principal Components Analysis |
| title_fullStr | New Role of Thermal Mapping in Winter Maintenance with Principal Components Analysis |
| title_full_unstemmed | New Role of Thermal Mapping in Winter Maintenance with Principal Components Analysis |
| title_short | New Role of Thermal Mapping in Winter Maintenance with Principal Components Analysis |
| title_sort | new role of thermal mapping in winter maintenance with principal components analysis |
| url | http://dx.doi.org/10.1155/2014/254795 |
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