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We then used land use regression, a proven statistical prediction method for describing spatial patterns of air pollution, to develop separate estimates of spatial variability across the city by regressing NO2 against available land-use variables in each of these three periods.
This observed trend has also spatial variability across slope gradient and agroecological classes of the watershed.
Due to its complex interactions with various processes and factors, soil moisture exhibits significant spatial variability across different spatial scales.
Quantification of soil spatial variability across multiple scales is important in ecological modeling, environmental prediction, precision agriculture, and natural resources management.
For purposes of sampling site selection, we explored spatial variability across a range of local source indicators, and potential modifiers of source-concentration relationships.
However, primary pollutants emissions from motor vehicles, such as elemental carbon, carbon monoxide (CO), sulphur dioxide (SO2), nitric oxide, and to a lesser extent nitrogen dioxide (NO2) show wide spatial variability across and between cities [ 23, 24].
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To assess spatial variability in fallout across a catchment and across soil types, soil trays containing different soil types were placed at three reference locations in a small catchment of 8 km2 across a nine month period.
It is shown that adding further complexity by including explicit interception and explicit bare soil evaporation has little effect on runoff or the latent heat flux, but the addition of a spatially and temporally variable surface resistance leads to an increase in the spatial variability of runoff across the domain.
The difference in controlling factors between ADWN and SCAN stations can be largely attributed to the higher spatial variability in P across the SCAN stations, which overrode the impacts of soil properties on Topt.
However, this approach can be very time consuming and often only a small number of transects can be measured in this way, which may not be adequate to characterize the spatial variability of SR across the landscape.
More specifically, these relationships can be used to map the distribution and spatial variability of paludification across the landscape, thereby exploring the potential to discriminate between the two commonly known paludification types (permanent and reversible).
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