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Published online 23 August 2007
Published in Vadose Zone J 6:591-596 (2007)
DOI: 10.2136/vzj2006.0094
© 2007 Soil Science Society of America
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Combined Effects of Urbanization and Global Warming on Subsurface Temperature in Four Asian Cities

Makoto Taniguchia,*, Takeshi Uemurab and Karen Jago-ona

a Research Institute for Humanity and Nature, Kyoto 603-8047, Japan
b The Graduate Univ. for Advanced Studies, Kanagawa 240-0193, Japan


Figure 1
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FIG. 1. Locations of the urban study areas and boreholes for subsurface temperature measurements.

 

Figure 2
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FIG. 2. (a) Observed temperature–depth profiles and (b) average and standard deviation of profiles with estimated "new" surface temperature shown by solid circle and estimated geothermal gradient in Tokyo.

 

Figure 3
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FIG. 3. (a) Observed temperature–depth profiles and (b) average and standard deviation of profiles with estimated "new" surface temperature shown by solid circle and estimated geothermal gradient in Osaka.

 

Figure 4
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FIG. 4. (a) Observed temperature–depth profiles and (b) average and standard deviation of profiles with estimated "new" surface temperature shown by solid circle and estimated geothermal gradient in Seoul.

 

Figure 5
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FIG. 5. (a) Observed temperature–depth profiles and (b) average and standard deviation of profiles with estimated "new" surface temperature shown by solid circle and estimated geothermal gradient in Bangkok.

 

Figure 6
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FIG. 6. Historical records of air temperature in Asian cities and best fits of linear trends (RL = regression line; see Table 1 for R2 values). The location of the meteorological station is almost the center of each city.

 

Figure 7
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FIG. 7. Temperature–depth profiles calculated using Eq. [1] with surface warming (bt) values of (a) 1.0°C, (b) 2.0°C, and (c) 3.0°C.

 

Figure 8
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FIG. 8. Relationships between elapsed time from the start of surface warming due to urbanization and the depth of deviation from the constant thermal gradient. The lines show the theoretical results using Eq. [1], solid squares show the predicted values based on Eq. [1] using bt values estimated from air temperature in each city, and where t along the horizontal axis is the estimated time of onset of accelerated air temperature increase from Table 1.

 





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