The environmental data were measured with a BACSPot device (Fig. 2) installed in the room.
The environmental data were obtained through a whole year of operation for Erzurum, Turkey.
Before running past, the biological and environmental data were transformed using square root and log (x + 1), respectively.
Soil observations and environmental data were used to create digital soil maps using regression models and kriging.
Prior to the analysis, the environmental data were transformed to log (x + 1), where x is the value of an environmental variable.
In the absence of stand age, non-parametric models that used variables derived from both satellite imagery and auxiliary environmental data were found to be the most precise.
Some missing environmental data were extrapolated by applying the expectation maximum likelihood algorithm implemented in Primer 7 (1000 iterations, minimum value change: 10−6).
Exhaustive environmental data were used to characterize the climate, the organisms, the topography and the other known soil forming factors, following the Soil-Landscape paradigm.
Personal information and environmental data were combined using two methodologies (method 1 using regulatory data and method 2 using our THM measurements) with a different set of assumptions.
Of the three sources of information used, models generated from environmental data were the least precise in general, with RMSE values averaging 3.71 m3 ha−1 yearangerange 3.55 3.85 m3 ha−1 year−1).
Environmental data were first made available after later trials in the USA, including Hanna and Hoe Creek UCG trials, for which groundwater contamination monitoring was conducted before, during, and after gasification.
