In temporal contaminant transport modeling, de-noised data enhanced the performance of ANN and ANFIS methods in terms of the determination coefficient, up to 6 and 5%, respectively, in the experimental study and up to 39 and 18%, respectively, in the field study.
We focus on the spatial and temporal variability in transport.
At temporal scales, sediment transport from upstream to downstream was therefore not in equilibrium and the remobilisation of older sediments from the downstream basin parts may have been important.
A conceptual framework for those impacts is developed based on the model of four accessibility components (i.e. land use, transport, temporal and individual) of Geurs and van Wee (2004).
The development of underground storage tissues, such as tap-roots and tubers, display a similar cycle of temporal events regarding transport of sucrose into the cell, building of the cell components and expansion of the storage organ.
Consequently, the apparently independent effects of PM2.5 and UF that we observed previously could be explained by considering the two pollutants as indicators of two combustion sources with different temporal variation long-range transport and local traffic.
These novel imaging modalities enable the quantitative investigation of spatio-temporal reaction and transport phenomena in the living animal or the human body.
Service area analyses were built on person-based and objectively measured threshold values that not only take into account the spatio-temporal elements of transport networks and a land use component but also recognize the requirements and preferences of individuals and their capacity to access and participate.
By contrast, the brain-specific categories apparent in the temporal lobe are axon transport (rank 14) and neurotransmitter transport (18), and cerebellum development (12) is implicated for the total brain.
The importance of four types of observations to estimate the virus-transport parameters are evaluated: hydraulic heads, flow, temporal moments of conservative-transport concentrations, and virus concentrations.
Our coupling scheme uses implicit temporal discretization of the transport equation, rendering it stable for arbitrarily large time steps.
