APPLICATION OF THERMAL IMAGE VELOCIMETRY TO URBAN AREA
Thermal Image Velocimetry (TIV) is the method to measure the 2-dimentional wind field tracking the temperature displacement caused by advected turbulent heat exchange using TIR camera. So far, this method has been applied to the surface whose heat capacity is low so as to easily capture the turbulen...
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| Veröffentlicht in: | Doboku Gakkai Ronbunshu. B1, Suikogaku = Journal of Japan Society of Civil Engineers. Ser. B1, Hydraulic Engineering Ser. B1 (Hydraulic Engineering), 2021, Vol.77(2), pp.I_1297-I_1302 |
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| container_title | Doboku Gakkai Ronbunshu. B1, Suikogaku = Journal of Japan Society of Civil Engineers. Ser. B1, Hydraulic Engineering |
| container_volume | 77 |
| creator | KIRITANI, Sosuke INAGAKI, Atsushi KANDA, Manabu |
| description | Thermal Image Velocimetry (TIV) is the method to measure the 2-dimentional wind field tracking the temperature displacement caused by advected turbulent heat exchange using TIR camera. So far, this method has been applied to the surface whose heat capacity is low so as to easily capture the turbulence-caused temperature displacement. We applied TIV to the high-heat-capacity asphalt road within urban canopy for the first time. As a result, we could conduct TIV observation even to the asphalt surface, observing complex wind field within the uraban canopy. Then we need to conduct temporal filtering with larger filter than the cycle of the random noise, which can be estimated by the spectral analysis of the displacement of the surface temperature. Even low performance TIR camera can conduct TIV observation if we set the large temporal filter enough compared to that of high performance TIR camera. And we found the possibility that we can change the size of tracking turbulent structure by changing the filter size, |
| doi_str_mv | 10.2208/jscejhe.77.2_I_1297 |
| format | Article |
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So far, this method has been applied to the surface whose heat capacity is low so as to easily capture the turbulence-caused temperature displacement. We applied TIV to the high-heat-capacity asphalt road within urban canopy for the first time. As a result, we could conduct TIV observation even to the asphalt surface, observing complex wind field within the uraban canopy. Then we need to conduct temporal filtering with larger filter than the cycle of the random noise, which can be estimated by the spectral analysis of the displacement of the surface temperature. Even low performance TIR camera can conduct TIV observation if we set the large temporal filter enough compared to that of high performance TIR camera. 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And we found the possibility that we can change the size of tracking turbulent structure by changing the filter size,</description><subject>Asphalt</subject><subject>Cameras</subject><subject>Canopies</subject><subject>Canopy</subject><subject>Displacement</subject><subject>Flow Visualization</subject><subject>Heat</subject><subject>Heat exchange</subject><subject>Infrared camera</subject><subject>Plant cover</subject><subject>Random noise</subject><subject>Specific heat</subject><subject>Spectral analysis</subject><subject>Spectrum analysis</subject><subject>Surface temperature</subject><subject>Thermal Image Velocimetry</subject><subject>Tracking</subject><subject>Turbulence</subject><subject>Turbulent structure</subject><subject>Urban areas</subject><subject>Urban canopy</subject><subject>Velocimetry</subject><subject>Wind</subject><subject>Wind measurement</subject><issn>2185-467X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNo9UFFPgzAYbExMXOZ-gS9NfGaWFvq1jxXZRsLGQtDoU9NCcZC5Tdge_PdiWHy5e7jLXe4QevDJnFIintq-dO3OzQHmVCfapxJu0IT6IvQCDu93aNb3jSWEh4Iy5k8QV9ttmkSqSLINzha4WMX5WqU4WatljN_iNIuSdVzkH7jI8Gv-rDZY5bG6R7e12fduduUpKhZxEa28NFsOaanXChl4pV8TwoBLY6UEQ-oQmE9EyCyx0lScSkmFK40jtagAAhtUgjNJrHXALAU2RY9j7Kk7fl9cf9bt8dIdhkZNOQuEGEYHg-tldLX92Xw6feqaL9P9aNOdm3Lv9PUUDaDpH4y__MvlznTaHdgvbldbXQ</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>KIRITANI, Sosuke</creator><creator>INAGAKI, Atsushi</creator><creator>KANDA, Manabu</creator><general>Japan Society of Civil Engineers</general><general>Japan Science and Technology Agency</general><scope>7QH</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H96</scope><scope>KR7</scope><scope>L.G</scope></search><sort><creationdate>2021</creationdate><title>APPLICATION OF THERMAL IMAGE VELOCIMETRY TO URBAN AREA</title><author>KIRITANI, Sosuke ; INAGAKI, Atsushi ; KANDA, Manabu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-j894-c1f003769ab997a0f57310853b0b9ad629928ecae0f8d774b4d86390bbe73b273</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>jpn</language><creationdate>2021</creationdate><topic>Asphalt</topic><topic>Cameras</topic><topic>Canopies</topic><topic>Canopy</topic><topic>Displacement</topic><topic>Flow Visualization</topic><topic>Heat</topic><topic>Heat exchange</topic><topic>Infrared camera</topic><topic>Plant cover</topic><topic>Random noise</topic><topic>Specific heat</topic><topic>Spectral analysis</topic><topic>Spectrum analysis</topic><topic>Surface temperature</topic><topic>Thermal Image Velocimetry</topic><topic>Tracking</topic><topic>Turbulence</topic><topic>Turbulent structure</topic><topic>Urban areas</topic><topic>Urban canopy</topic><topic>Velocimetry</topic><topic>Wind</topic><topic>Wind measurement</topic><toplevel>online_resources</toplevel><creatorcontrib>KIRITANI, Sosuke</creatorcontrib><creatorcontrib>INAGAKI, Atsushi</creatorcontrib><creatorcontrib>KANDA, Manabu</creatorcontrib><collection>Aqualine</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Doboku Gakkai Ronbunshu. B1, Suikogaku = Journal of Japan Society of Civil Engineers. Ser. B1, Hydraulic Engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>KIRITANI, Sosuke</au><au>INAGAKI, Atsushi</au><au>KANDA, Manabu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>APPLICATION OF THERMAL IMAGE VELOCIMETRY TO URBAN AREA</atitle><jtitle>Doboku Gakkai Ronbunshu. B1, Suikogaku = Journal of Japan Society of Civil Engineers. Ser. B1, Hydraulic Engineering</jtitle><addtitle>J. JSCE, Ser. B1</addtitle><date>2021</date><risdate>2021</risdate><volume>77</volume><issue>2</issue><spage>I_1297</spage><epage>I_1302</epage><pages>I_1297-I_1302</pages><eissn>2185-467X</eissn><abstract>Thermal Image Velocimetry (TIV) is the method to measure the 2-dimentional wind field tracking the temperature displacement caused by advected turbulent heat exchange using TIR camera. 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| identifier | EISSN: 2185-467X |
| ispartof | Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering), 2021, Vol.77(2), pp.I_1297-I_1302 |
| issn | 2185-467X |
| language | jpn |
| recordid | cdi_proquest_journals_2634882204 |
| source | Alma/SFX Local Collection |
| subjects | Asphalt Cameras Canopies Canopy Displacement Flow Visualization Heat Heat exchange Infrared camera Plant cover Random noise Specific heat Spectral analysis Spectrum analysis Surface temperature Thermal Image Velocimetry Tracking Turbulence Turbulent structure Urban areas Urban canopy Velocimetry Wind Wind measurement |
| title | APPLICATION OF THERMAL IMAGE VELOCIMETRY TO URBAN AREA |
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