Sentence examples for by the spatial variability from inspiring English sources

Under dry conditions, the spatial distribution of the soil moisture is affected mostly by the spatial variability of the vegetation.

Such uneven pattern could be explained by the spatial variability of nutrients content in soil, for example, the nitrogen was abundant in some area but deficient in other parts of the field.

The magnitude and timing of the spring freshet is determined by the spatial variability of melt rates and peak snow water equivalent (SWE).

Structural reliability assessment is largely influenced by the spatial variability of material properties or defaults; however, there are still various challenges for their characterization and modeling.

Rainfall redistribution beneath an orchard can be substantial because of localized runoff and runon induced by the spatial variability of infiltration rate, rainfall interception by the tree and surface roughness.

In this study, we provide a theoretical framework to quantify dilution of a non-reactive solute within a steady state flow as affected by the spatial variability of the hydraulic conductivity.

The probability of liquefaction is evaluated with the proposed model by considering the spatial variability of the soil parameters and the statistical characteristics related to the occurrence of earthquakes.

Probabilistic concepts are also employed due to numerous sources of uncertainty in the degradation model and the extent of damage is quantified by considering the spatial variability of the various parameters.

We systematically quantified the effects of discharge, seasonality, and long-term trend as factors controlling intra-annual (among year) and inter-annual (within year) variabilities of TOC by evaluating the spatial variability in model coefficients and catchment characteristics (e.g. land cover, retention time, soil type).

In this way, loss models can be improved everywhere by integrating the spatial variability of local vulnerability in the concerned regions.

The objectives of this research were to develop a simple method, based on geostatistic concepts for estimating a rapid and reliable representative value of Ks, for the south-western region of Iran from limited in situ measurements, suitable for large-scale drainage design, by consideration of the spatial variability of Ks.