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The first numerical model, named GS0, intended to test the static-aware Voronoi algorithm on the case study surface and to simulate the theoretical behavior of the mock-up.
In this case study surface soil texture and coarse fragment classes were predicted using a 28 year time series of Landsat TM derived normalized difference vegetation index (NDVI) and modeled using support vector machine (SVM) classification, and results evaluated relative to more traditional RS approaches (e.g., mono-, bi-, and multi-temporal).
Open image in new window Fig. 10 Case study surface map showing the location of the producer and the injectors for the five-spot waterflood pattern Open image in new window Fig. 11 Map showing the location of wells in the direct line drive waterflood pattern Open image in new window Fig. 12 Map showing the location of wells in the staggered line drive waterflood pattern.
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We chose the velocity of our modeled wind to be 28 m/s (100 km/h) at 10 m above the surface for the Lake of Tanis case study.
Open image in new window Fig. 9 Case study map surface map showing the location of a producer.
Open image in new window Fig. 1 The case study top surface map and well location.
The framework for the design and operation of multi-channel systems is established and a case study for surface temperature control is examined.
For this case study, response surface results suggest that maximum cumulative oil production could be achieved with permeability in a specific range (10.0 31.6 mD, which is close to the mean value of the actual strata).
In this paper, we present insights from a novel Agent Based Model (ABM), applied to a London case study of surface water flood risk, designed to assess the interplay between different adaptation options; how risk reduction could be achieved by homeowners and government; and the role of flood insurance and the new flood insurance pool, Flood Re, in the context of climate change.
The 75 selected cases studies for groundwater recharge and 58 case studies for surface water were distributed in different parts of the world including Africa, North America, Australia, and China (Fig. 3).
Open image in new window Fig. 12 Location and pre-mining surface topography of Case study II Open image in new window Fig. 13 Pre-mining land use distribution Case study II.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com