Managing Urban Spatial Growth

10.1596/35937 ◽  
2021 ◽  
Author(s):  
Keyword(s):  
Spatial Growth

Spatial Growth Disparities in South America, Evidence from 1960–2008

2012 ◽  
Author(s):  
Daniel Hernan Vedia-Jerez ◽  
Coro Chasco-Yrigoyen
Keyword(s):  
South America ◽  
Spatial Growth

Trade and Spatial Growth

2017 ◽  
Vol 18 (1) ◽  
pp. 94-111
Author(s):  
Sirimal Abeyratne ◽  
N. S. Cooray
Keyword(s):  
International Trade ◽  
Comparative Advantage ◽  
Global Economy ◽  
Spatial Concentration ◽  
Trade Theory ◽  
Missing Link ◽  
Spatial Growth

Comparative advantage is based on ‘locational factors’ so that trade leads to growth and its spatial concentration. Until recently, the nexus between trade and spatial growth received little space within trade analyses though it did not appear to be a missing link in initial contributions to trade theory. The reshaping of the global economy with greater integration has called for analyses of trade and spatial growth. This article examines theoretical premises of the link between international trade and spatial growth, and the implications of reshaping of the global economy for the study of spatial growth within trade theory.

Surface Design for Precise Control of Spatial Growth of a Mesostructured Inorganic/Organic Film on a Large-Scale Area

Langmuir ◽  
2007 ◽  
Vol 23 (6) ◽  
pp. 3265-3272 ◽  
Author(s):  
Atsushi Hozumi ◽  
Satoshi Kojima ◽  
Shusaku Nagano ◽  
Takahiro Seki ◽  
Naoto Shirahata ◽  
...  
Keyword(s):  
Large Scale ◽  
Organic Film ◽  
Surface Design ◽  
Precise Control ◽  
Spatial Growth

Inviscid instability of an unbounded heterogeneous shear layer

1971 ◽  
Vol 48 (2) ◽  
pp. 405-415 ◽  
Author(s):  
S. A. Maslowe ◽  
R. E. Kelly
Keyword(s):  
Growth Rate ◽  
Froude Number ◽  
Mixing Layer ◽  
Density Variation ◽  
Wave Number ◽  
Unstable Wave ◽  
Number Range ◽  
Spatial Growth ◽  
Wave Number Range ◽  
Low Froude Number

Stability curves are computed for both spatially and temporally growing disturbances in a stratified mixing layer between two uniform streams. The low Froude number limit, in which the effects of buoyancy predominate, and the high Froude number limit, in which the effects of density variation are manifested by the inertial terms of the vorticity equation, are considered as limiting cases. For the buoyant case, although the spatial growth rates can be predicted reasonably well by suitable use of the results for temporal growth, spatially growing disturbances appear to have high group velocities near the lower cutoff wave-number. For the inertial case, it is demonstrated that density variations can be destabilizing. More precisely, when the stream with the higher velocity has the lower density, both the wave-number range of unstable disturbances and the maximum spatial growth rate are increased relative to the case of homogeneous flow. Finally, it is shown how the growth rate of the most unstable wave in the inertial case diminishes as buoyancy becomes important.

Experimental study of the initial stages of wind waves' spatial evolution

2011 ◽  
Vol 681 ◽  
pp. 462-498 ◽  
Author(s):  
DAN LIBERZON ◽  
LEV SHEMER
Keyword(s):  
Energy Transfer ◽  
Growth Rates ◽  
Water Surface ◽  
Wind Waves ◽  
Pressure Fluctuations ◽  
Theoretical Models ◽  
Small Scale ◽  
Wave Flume ◽  
Spatial Growth ◽  
The Mean

Despite a significant progress and numerous publications over the last few decades a comprehensive understanding of the process of waves' excitation by wind still has not been achieved. The main goal of the present work was to provide as comprehensive as possible set of experimental data that can be quantitatively compared with theoretical models. Measurements at various air flow rates and at numerous fetches were carried out in a small scale, closed-loop, 5 m long wind wave flume. Mean airflow velocity and fluctuations of the static pressure were measured at 38 vertical locations above the mean water surface simultaneously with determination of instantaneous water surface elevations by wave gauges. Instantaneous fluctuations of two velocity components were recorded for all vertical locations at a single fetch. The water surface drift velocity was determined by the particle tracking velocimetry (PTV) method. Evaluation of spatial growth rates of waves at various frequencies was performed using wave gauge records at various fetches. Phase relations between various signals were established by cross-spectral analysis. Waves' celerities and pressure fluctuation phase lags relative to the surface elevation were determined. Pressure values at the water surface were determined by extrapolating the measured vertical profile of pressure fluctuations to the mean water level and used to calculate the form drag and consequently the energy transfer rates from wind to waves. Directly obtained spatial growth rates were compared with those obtained from energy transfer calculations, as well as with previously available data.

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