Sentence examples for basin process from inspiring English sources

Rivers reflect connectivity in: the formation of channels and spatial zonation of drainage basin process and form; the reach-scale characteristics of river systems; and river adjustments through time and space to changes in external variables.

Consequently better understanding of the river water quality and its dominate controlling factors are crucial for providing the basis for comprehending river basin processes and it is essential for developing future projects in agricultural, urbanization and industrial sectors as well as water resource planning and management.

This study underlines the importance of spatially distributed soil information in watershed modeling for decision making in the river basin management process.

Open image in new window Fig. 7 Output of 1D basin modeling process in terms of reservoir elastic properties and pressure regim Open image in new window Fig. 8 Geohistory plot (burial history)—output from 1D basin modeling process.

Other published evidences of use of these relationships in basin modeling process include Alkawai (2014), Szydlik et al. (2015), and Schneider et al. (1996).

Thus, in basin modeling process these lithology-wise empirical relationships are used to satisfy the depth porosity function and pore pressure calculation.

Figure 7 shows the output of basin modeling process in terms of variation of elastic properties and pressure regim while depositing the sediments over geological periods.

Another important output of 1D basin modeling process is burial history or geohistory plot of the reservoir as shown in Fig. 8.

Well data in the form of log curves constitute the main input for basin modeling process in association with other basin-related information such as regional temperature and pressure profile.

Overall implementation of basin modeling process contains a wide range of mathematical algorithms and methods each of them appropriate for each "sub-model," and detailed discussion of these goes beyond the scope of this paper.

The basin modeling process dynamically models changes in rock properties through geologic time by numerically solving coupled partial differential equations with moving boundaries on discretized temporal and spatial grids.