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The calibrated value of hydraulic conductivity has been increased and decreased by 20%, and its effect has been observed at the location of observation wells.
Figure 1 shows the location of observation and climatological surface winds during the observational period.
b The trajectories of the observed protons back-traced from the location of observation [from Dhanya et al. (2013)].
The time and location of observation sessions in the ward and the HCWs observed were chosen at random.
Open image in new window Fig. 3 Bottom elevation contour map (leftmap), model domain grid, location of observation wells and the boundary conditions (rightmap) of the simulated MAIWF.
Open image in new window Fig. 7 Map showing the location of observation points regarding HVSR measurements, geotechnical data and earthquake recording stations.
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In the process of model selection, it became evident that the geographic location of observations affected larva density to a much higher extent than the causal predictors CTH and DWT (Table 2).
The findings from this effort were utilized in two calibration case studies to demonstrate the utility of this global sensitivity analysis to reduce the risk of over-parameterization, and to identify the vertical location of observations that were the most effective to use as RZWQM calibration targets when water flux estimates are a key focus.
Fig. 1 Locations of observation stations.
See Fig. 2 for locations of observation stations.
Locations of observation sites and earthquakes used in this analysis.
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