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Density plot for hourly variation in amplitude at BLE using one‐year‐long data for (a) F1, (c), F2, and (e) F3 modes. The temperature and wind velocity computed using the hourly data are shown in (b) and (d), respectively. (f) The amplitude of F1 at BLE (red line) and mobility (black line) in TAIPEI 101 on 6 July 2022. The mobility data provides the number of employees in this business building counted in every entryway for when they entered and exited. Note that this entrance counter does not include the record of tourists and visitors. The color version of this figure is available only in the electronic edition.

Density plot for hourly variation in amplitude at BLE using one‐year‐long d... Available to Purchase

Published: 20 January 2023
Figure 12. Density plot for hourly variation in amplitude at BLE using one‐year‐long data for (a) F1, (c), F2, and (e) F3 modes. The temperature and wind velocity computed using the hourly data are shown in (b) and (d), respectively. (f) The amplitude of F1 at BLE (red line) and mobility (black
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(a) Hourly variation of the NCFs between DAS channels T136 and T146. The stable signals shown on the negative lag side are obvious mainly from 6 a.m. to 9 p.m. (b) Stacked and filtered (4–8 Hz) NCFs are shown in panel (a).

(a) Hourly variation of the NCFs between DAS channels T136 and T146. The st... Available to Purchase

Published: 16 December 2022
Figure 7. (a) Hourly variation of the NCFs between DAS channels T136 and T146. The stable signals shown on the negative lag side are obvious mainly from 6 a.m. to 9 p.m. (b) Stacked and filtered (4–8 Hz) NCFs are shown in panel (a).
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Daily vibrator repeatability tests showing (a) a raw shot gather (30 m buried receivers) with the window used for analysis overlain in yellow, (b) daily amplitude and timing variations over more than 10 days for both the surface (red) and buried (black) geophones, and (c) hourly variations recorded over three days compared to temperature variations (green and red lines are X and Y variations in baseplate location, respectively). Vibrator relocation (15 cm) occurred early in the second day of the hourly tests (c) where the red line shows a discontinuity.

Daily vibrator repeatability tests showing (a) a raw shot gather (30 m buri... Available to Purchase

Published: 01 August 2018
Figure 6. Daily vibrator repeatability tests showing (a) a raw shot gather (30 m buried receivers) with the window used for analysis overlain in yellow, (b) daily amplitude and timing variations over more than 10 days for both the surface (red) and buried (black) geophones, and (c) hourly
Journal Article

Dynamic Characteristics of TAIPEI 101 Skyscraper from Rotational and Translation Seismometers Available to Purchase

Yaochieh Chen, Philippe Guéguen, Kate Huihsuan Chen, Chin‐Jen Lin, Chin‐Shang Ku, Win‐Gee Huang, Bor‐Shouh Huang, Kou‐Cheng Chen
Published: 20 January 2023
Bulletin of the Seismological Society of America (2023) 113 (2): 690–709.
DOI: https://doi.org/10.1785/0120220147
...Figure 12. Density plot for hourly variation in amplitude at BLE using one‐year‐long data for (a) F1, (c), F2, and (e) F3 modes. The temperature and wind velocity computed using the hourly data are shown in (b) and (d), respectively. (f) The amplitude of F1 at BLE (red line) and mobility (black...
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Journal Article

Hydraulics and morphology of glacial outwash distributaries, Skeidararsandur, Iceland Available to Purchase

L. G. Ward, M. F. Stephen, D. Nummedal
Published: 01 December 1976
Journal of Sedimentary Research (1976) 46 (4): 770–777.
DOI: https://doi.org/10.1306/212F704F-2B24-11D7-8648000102C1865D
... velocities occur in the distributary mouths, prohibiting saltwater intrusions. Hourly variations in flow are caused by tidal-induced changes in the water surface slope. At low tide, the surface slope is the greatest, and the current, suspended sediment load and discharge are at a maximum. A current of 3.3 m...
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Variations of hourly water level and daily rainfall at the YL1 well. (a) Records from 10 September to 10 October 1999. (b) Records from 1 January to 31 December 1999. The YL1 well, screened at the depth from 51 to 69 m, was installed to monitor the water level of a confined gravel aquifer. Prior to the coseismic rise of 6.55 m, the water level varied primarily with precipitation and local pumping.

Variations of hourly water level and daily rainfall at the YL1 well. (a) Re... Available to Purchase

Published: 01 October 2001
Figure 7. Variations of hourly water level and daily rainfall at the YL1 well. (a) Records from 10 September to 10 October 1999. (b) Records from 1 January to 31 December 1999. The YL1 well, screened at the depth from 51 to 69 m, was installed to monitor the water level of a confined gravel
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Variations of hourly water level and daily rainfall at the LY2 well. Records from 10 September to 10 October 1999 showing that the water level continued to decline after the Chi-Chi earthquake.

Variations of hourly water level and daily rainfall at the LY2 well. Record... Available to Purchase

Published: 01 October 2001
Figure 8. Variations of hourly water level and daily rainfall at the LY2 well. Records from 10 September to 10 October 1999 showing that the water level continued to decline after the Chi-Chi earthquake.
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Figure 2. A: 25 h running average of hourly Rn counts in northwestern Dead Sea for measurement period 1994–2002. Bars show occurrence of earthquakes (see selection criteria in Table 1) in Dead Sea, Kinneret, and Hula pull-apart grabens within Dead Sea rift valley. Note multiyear and seasonal variations in Rn flux. B: 75 d Rn time series for 1996. Gray line is hourly Rn counts showing daily variations, and black line is 25 h running average showing Rn signals spread over several days. Bars show occurrence of earthquakes in Dead Sea rift valley

Figure 2. A: 25 h running average of hourly Rn counts in northwestern Dead ... Available to Purchase

Published: 01 June 2003
variations in Rn flux. B: 75 d Rn time series for 1996. Gray line is hourly Rn counts showing daily variations, and black line is 25 h running average showing Rn signals spread over several days. Bars show occurrence of earthquakes in Dead Sea rift valley
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Horizontal‐to‐vertical spectral ratio (HVSR) estimated from 10‐day data during the night. (a) Time‐dependent variation of HVSR for station 2114. (c) Hourly HVSR curves and their mean value for station 2114. Panels (b) and (d) are the same as those in (a) and (c) but for station 2195. The color version of this figure is available only in the electronic edition.

Horizontal‐to‐vertical spectral ratio (HVSR) estimated from 10‐day data dur... Available to Purchase

Published: 21 February 2025
Figure 5. Horizontal‐to‐vertical spectral ratio (HVSR) estimated from 10‐day data during the night. (a) Time‐dependent variation of HVSR for station 2114. (c) Hourly HVSR curves and their mean value for station 2114. Panels (b) and (d) are the same as those in (a) and (c) but for station 2195
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(a) Hourly mean net subsurface heat flux and hourly mean net radiative flux at location 3. AWS data, located close to the measurement site was used for calculation of net radiative flux. (b) Mean diurnal variation of net subsurface heat flux and net radiative flux at location 3. Dotted line represents the mean net radiative flux and continuous line shows mean net subsurface heat flux. Measurements were taken from 19 January- 01 February 2012.

(a) Hourly mean net subsurface heat flux and hourly mean net radiative flux... Available to Purchase

Published: 01 November 2015
Fig.7. (a) Hourly mean net subsurface heat flux and hourly mean net radiative flux at location 3. AWS data, located close to the measurement site was used for calculation of net radiative flux. (b) Mean diurnal variation of net subsurface heat flux and net radiative flux at location 3. Dotted
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Variations of one-hour averaged elevations of NT and ST, and variations in one-hour averaged air temperature. Hourly GPS solutions were performed by GAMIT (King and Bock 2005) with respect to station RF (figure 1).

Variations of one-hour averaged elevations of NT and ST, and variations in ... Available to Purchase

Published: 01 January 2008
Figure 8. Variations of one-hour averaged elevations of NT and ST, and variations in one-hour averaged air temperature. Hourly GPS solutions were performed by GAMIT ( King and Bock 2005 ) with respect to station RF ( figure 1 ).
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(a) Hourly mean net subsurface heat flux and hourly mean net radiative flux at location 2. Radiation data from Automatic Weather Station was used for calculating mean net radiative flux. (b) Mean diurnal variation of net radiative flux and net subsurface heat flux at location 2. Dotted line represents the mean net radiative flux and continuous line shows mean net subsurface heat flux. The measurements were taken from 30 December 2011 to 04 January 2012

(a) Hourly mean net subsurface heat flux and hourly mean net radiative flux... Available to Purchase

Published: 01 November 2015
Fig.6. (a) Hourly mean net subsurface heat flux and hourly mean net radiative flux at location 2. Radiation data from Automatic Weather Station was used for calculating mean net radiative flux. (b) Mean diurnal variation of net radiative flux and net subsurface heat flux at location 2. Dotted
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Hourly, daily, monthly, and yearly variation of AMT observed apparent resistivity. (a) The comparison result with a time lapse of one hour, (b) is that of one day, (c) has a time lapse of one month, (d) is a yearly result with a duration of more than two years, and (e) is a scatter diagram of the relative rho variation.

Hourly, daily, monthly, and yearly variation of AMT observed apparent resis... Available to Purchase

Published: 10 July 2012
Figure 1. Hourly, daily, monthly, and yearly variation of AMT observed apparent resistivity. (a) The comparison result with a time lapse of one hour, (b) is that of one day, (c) has a time lapse of one month, (d) is a yearly result with a duration of more than two years, and (e) is a scatter
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Variation of hourly water level and daily rainfall at the JS1 well. (a) Records from 10 September to 10 October 1999. (b) Records from 1 January to 31 December 1999. The JS1 well, screened at the depth from 66 to 96 m, was installed to monitor the water level of a partially confined gravel aquifer. The water level rose during the rain season from May to September and declined during the dry season from October to April. Local pumping was active from January to June and in September.

Variation of hourly water level and daily rainfall at the JS1 well. (a) Rec... Available to Purchase

Published: 01 October 2001
Figure 6. Variation of hourly water level and daily rainfall at the JS1 well. (a) Records from 10 September to 10 October 1999. (b) Records from 1 January to 31 December 1999. The JS1 well, screened at the depth from 66 to 96 m, was installed to monitor the water level of a partially confined
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The diurnal variations of the vertical mode noise models obtained from the hourly data recorded over five years (January 2005–December 2009) for the URZ station.

The diurnal variations of the vertical mode noise models obtained from the ... Available to Purchase

Published: 01 February 2012
Figure 6. The diurnal variations of the vertical mode noise models obtained from the hourly data recorded over five years (January 2005–December 2009) for the URZ station.
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Observed variations of selected micrometeorological variables together with simulated spatiotemporal distributions of root water uptake rates during vegetation season 2010: (a) hourly net radiation, hourly vapor pressure deficit and daily precipitation, (b) root water uptake (RWU) rates predicted by the Feddes model, (c) positive daylight RWU rates predicted by the water-potential-gradient (WPG) model, and (d) negative RWU rates predicted by the WPG model overnight and during wet canopy events. The net radiation is expressed in units of equivalent evaporation (energy divided by the density of water and the latent heat of vaporization).

Observed variations of selected micrometeorological variables together with... Available to Purchase

Published: 01 February 2013
Fig. 3. Observed variations of selected micrometeorological variables together with simulated spatiotemporal distributions of root water uptake rates during vegetation season 2010: (a) hourly net radiation, hourly vapor pressure deficit and daily precipitation, (b) root water uptake (RWU) rates
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Time variation of the burned area inferred from the Tokyo city fire progression map for the 1923 Kantō earthquake (Imperial Earthquake Investigation Committee, 1925) and hourly weather records observed at Motoecho, Tokyo (Fujiwhara, 1924). The color version of this figure is available only in the electronic edition.

Time variation of the burned area inferred from the Tokyo city fire progres... Available to Purchase

Published: 12 September 2023
Figure 11. Time variation of the burned area inferred from the Tokyo city fire progression map for the 1923 Kantō earthquake ( Imperial Earthquake Investigation Committee, 1925 ) and hourly weather records observed at Motoecho, Tokyo ( Fujiwhara, 1924 ). The color version of this figure
Journal Article

Automated Groundwater Monitoring in Twin Cities Aquifers Shows Anthropogenic Changes in Water Quality Measures Available to Purchase

John R. McDaris, Joshua M. Feinberg, Beth A. Fisher, Anthony C. Runkel
Published: 05 May 2025
Environmental & Engineering Geoscience (2025) 31 (2): 131–143.
DOI: https://doi.org/10.21663/EEG-D-24-00088
...-aquifer systems with large numbers of wells. This is the case in the Twin Cities Metropolitan Area of Minnesota. As a result, it is difficult to capture short-term, sub-annual variations in water quality in metropolitan areas using conventional manual sampling. Such short-term variations can help...
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Variation in ground temperature, air temperature, CO, SO2, C2H6S, and H2S concentrations during hourly measurements at a depth of 0.15 m at points of profile 2 m, 6.5 m, and 12.5 m.

Variation in ground temperature, air temperature, CO, SO 2 , C 2 H 6 S, and... Available to Purchase

Published: 01 November 2021
Figure 9 Variation in ground temperature, air temperature, CO, SO 2 , C 2 H 6 S, and H 2 S concentrations during hourly measurements at a depth of 0.15 m at points of profile 2 m, 6.5 m, and 12.5 m.
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Seasonal variations of (a) selected meteorological variables affecting plant transpiration—hourly averages of vapor pressure deficit and net radiation (the latter expressed in units of equivalent evaporation, i.e., energy divided by the density of water and the latent heat of vaporization) and (b) variables defining the soil moisture conditions—daily precipitation totals and soil water pressure head variations observed at two depths.

Seasonal variations of (a) selected meteorological variables affecting plan... Open Access

Published: 01 May 2017
Fig. 1. Seasonal variations of (a) selected meteorological variables affecting plant transpiration—hourly averages of vapor pressure deficit and net radiation (the latter expressed in units of equivalent evaporation, i.e., energy divided by the density of water and the latent heat of vaporization