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Heat flow measurement in shallow seas through long-term temperature monitoring Hamamoto Hideki (Earthquake Research Institute,Univ. of Tokyo) Yamano Makoto (Earthquake Research Institute,Univ. of Tokyo) Goto Shusaku (Aso volcanological laboratory, Kyoto Univ.)
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Research purpose To obtain heat flow data in shallow sea areas. Remove influence of bottom water temperature variation using results of long-term temperature monitoring
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Conventional measurement method in deep-sea areas k : Thermal conductivity : Temperature gradient Q : Terrestrial heat flow
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κ : Thermal diffusivity Amplitude decay Phase shift Thermal diffusion equation Propagation of bottom water temperature variation T ( 0,t ) T(z,t)
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Pop-up heat flow instrument er recorder
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pic tur e
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Measurement station A D B C Kumano area Eurasian plate Philippine Sea plate Pacific plate
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Sub-bottom temperature data CH1 CH2 CH3 CH4 Station B (water depth: 2055m)
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Heat transfer between CH1 and CH2 CH1 CH2 CH 3 CH 4
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Correction for the effects of bottom water temperature variation
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Temperature gradient = 58 mK/m Heat flow c.a 60 mW/m 2 Thermal conductivity 1 W/m/K
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A D B C Kumano area Eurasian plate Philippine Sea plate Pacific plate Measurement station
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A (water depth 1040m) Time(days) After correction Raw data Temperature (℃)
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Time(days) Temperature (℃) C(water depth 2008m) After correction Raw data
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Time(days) Temperature (℃) D(water depth 2070m) After correction Raw data
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Heat flow cross section Conventional prove Estimated from BSR
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Monitoring of sea-bottom water temperature 1. Estimation of appropriate monitoring period and probe length 2. Determination of heat flow in combination with ordinary probe measurements Purposes
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Measurement stations in Kumano Sediment temperature Bottom water temperature (in progress) Sediment temperature (in progress)
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Bottom-water temperature records
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Temperature record for two years
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Spectrum analysis Period (days) Amplitude
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Summary 1.Long-term temperature data over 220 days were obtained with pop-up heat flow instruments. 2. Heat flow values can be obtained by removing the influence of bottom water temperature variation. Long-term temperature monitoring may be a useful method for heat flow determination in shallow sea areas.
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Summary 3. Dominant periods of bottom-water temperature variations are 150 to 200 days. Heat flow can be determined well from 250 to 300 days temperature records.
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BSR (Bottom Simulating Reflector) BSR
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Station A Temperature ( ℃ )
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Station A (water depth1040m) Spectrum Amplitude
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Thermal diffusivity CH1 CH2 CH3 CH4
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Thermal conductivity (Hyndman’s equation )
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Thermal conductivity of sediment sample The sample was obtained near the station B (about 15miles away).
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Disturbance from sea-bottom water temperature variation Depth(m ) 0.01K Temperature
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Example of temperature profiles Deep sea Shallow sea
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Temperature Time Sea-bottom Sub-bottom Example of thermal diffusion Amplitude decays Phase delays
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水温変動が海底下の温度分布に与える影響を計算 複数の地点で長期間の海底水温データが得られ た 海底水温が温度勾配に与える影 響 通常の方法による測定が可能かどうかを検 討
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1.5m 2.5m D 地点 ( 水深 1040m) 海底水温が温度勾配に与える影響 G=50mK/m κ = 2.4×10 -7 m 2 /s 2.5m 4.5m
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B 地点 ( 水深 2026m) 海底水温が温度勾配に与える影響 1.5m 2.5m 4.5m G=50mK/m κ = 2.4×10 -7 m 2 /s
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* D 地点(水深 1040m )では,温度勾配は通常の方法で は測 定できない * A ~ C 地点(水深 1230 ~ 2026m )でも, プローブが4~ 5 m の 深さまで貫入しなければ温度勾配を求めるこ とが困難 長期観測が必要 海底下の温度データから水温変動の影響を取り 除いて熱流量を求める ここまでの結果 (プローブを 4 ~ 5 m貫入させることは難しい場合が 多い)
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CH2 CH3 CH4 CH5 CH6 CH7 CH1 1.47 1.75 1.99 2.16 2.23 2.29 Thermal diffusivity ( ×10 -7 )( m 2 / s) CH1 と各センサー間の熱拡散率
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CH2 CH3 CH4 CH5 CH6 CH7 CH1 1.47 2.05 2.42 2.70 2.48 2.99 thermal diffusivity ( ×10 -7 m 2 /s ) 隣り合った各センサー間の熱拡散 率
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A 地点における計算値と実測値 計算値と実測値が一致しない
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各センサー間の熱伝導率 (Hyndman の経験式 ) k: 熱伝導率 κ :熱拡散率
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C 地点の海底下の温度データ
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日変化 年変化 日変化と年変化の温度プロファイ
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Long-term temperature monitoring Long-term temperature monitoring system has been deployed with submersibles. * Few chances for deployment and recovery. * Submersibles can handle short probes only. (max. 1m) We have developed Pop-up temperature monitoring system which can be deployed from surface vessels. Demerits
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