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Also shown, are some preliminary comparison of point source data and GEANT simulations.
Regarding the former, sprawling point source data in Figure 8 resembles a slightly out of focus sample, and, regarding the latter, simulated data had Poisson distributed background light based on a uniform background average (conditions for the simulations were described in the previous section).
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The models were also run for the source categories separately and showed strong gradients for mobile and area emission sources and nonsignificant effects for point sources (data not shown).
The generation of meteorological surfaces from point-source data is a difficult but necessary step required for modeling ecological and hydrological processes across landscapes.
The river discharge data have been collected from CWC, and the point source discharge data have been collected from CPCB and SPCB (CPCB 2000, 2007, and personal communications with CPCB and SPCB, Sharma 2013).
From one point source simulation data, we ensured that the source position and the distance to the same could be determined typically to within 2 meters׳ accuracy and we also confirmed that more than two sources are clearly separated by the event selection from two point sources of simulation data.
The model also included geographic information system (GIS derived covariates such as meteorology, land use and elevation, population density, road network, and point source emission data.
Further, the locations (i.e., state, county, ZIP code, census tract, point source) of data collection can be inconsistent or "misaligned".
Industrial and municipal point pollution source data for 2008 for Changshou and Fuling Districts were provided by the Changjiang Water Resources Protection Institute.
Table 1 Dead oil viscosity correlations References γ API range Region of data source Data points Comment Beal (1946) 10.1 52.2 USA 98 APE = 24.2%.
Table 4 Machine learning techniques for viscosity prediction References γ API range Region of data source Data points Comment Elsharkawy (1998 20 455 – – RBFNN was used to predict viscosity across different ranges.
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