scholarly journals Quantifying changes in ecological function of headwater catchments following large-scale surface mining in southern West Virginia

2009 ◽  
Author(s):  
Gretchen Anne Gingerich
Keyword(s):  
West Virginia ◽  
Large Scale ◽  
Surface Mining ◽  
Ecological Function ◽  
Headwater Catchments ◽  
Scale Surface

How to develop native plant communities in heavily altered ecosystems: examples from large-scale surface mining in Germany

2013 ◽  
Vol 17 (2) ◽  
pp. 288-301 ◽  
Author(s):  
Sabine Tischew ◽  
Annett Baasch ◽  
Harald Grunert ◽  
Anita Kirmer
Keyword(s):  
Plant Communities ◽  
Large Scale ◽  
Surface Mining ◽  
Native Plant ◽  
Scale Surface

scholarly journals Integrating weather and geotechnical monitoring data for assessing the stability of large scale surface mining operations

2016 ◽  
Vol 8 (1) ◽  
Author(s):  
Chrysanthos Steiakakis ◽  
Zacharias Agioutantis ◽  
Evangelia Apostolou ◽  
Georgia Papavgeri ◽  
Achilles Tripolitsiotis
Keyword(s):  
Data Management ◽  
Large Scale ◽  
Surface Mining ◽  
Monitoring Data ◽  
Data Management System ◽  
Series Data ◽  
Mining Operations ◽  
Adverse Weather ◽  
Scale Surface

AbstractThe geotechnical challenges for safe slope design in large scale surface mining operations are enormous. Sometimes one degree of slope inclination can significantly reduce the overburden to ore ratio and therefore dramatically improve the economics of the operation, while large scale slope failures may have a significant impact on human lives. Furthermore, adverse weather conditions, such as high precipitation rates, may unfavorably affect the already delicate balance between operations and safety. Geotechnical, weather and production parameters should be systematically monitored and evaluated in order to safely operate such pits. Appropriate data management, processing and storage are critical to ensure timely and informed decisions.This paper presents an integrated data management system which was developed over a number of years as well as the advantages through a specific application. The presented case study illustrates how the high production slopes of a mine that exceed depths of 100–120 m were successfully mined with an average displacement rate of 10– 20 mm/day, approaching an almost slow to moderate landslide velocity. Monitoring data of the past four years are included in the database and can be analyzed to produce valuable results. Time-series data correlations of movements, precipitation records, etc. are evaluated and presented in this case study. The results can be used to successfully manage mine operations and ensure the safety of the mine and the workforce.

Large-scale preparation of a 3D patchy surface with dissimilar dendritic amphiphiles

Soft Matter ◽  
2018 ◽  
Vol 14 (6) ◽  
pp. 1043-1049 ◽  
Author(s):  
Yanyan Feng ◽  
Yujia Wan ◽  
Ming Jin ◽  
Decheng Wan
Keyword(s):  
Large Scale ◽  
Large Scale Preparation ◽  
Porous Monolith ◽  
Scale Preparation ◽  
Surface Decoration ◽  
Scale Surface

We show here the first example of the large-scale surface decoration of a macroscopic and porous monolith with dissimilar micropatches.

scholarly journals Modeling of Thermal Effects in Semiconductor Structures

VLSI Design ◽  
1998 ◽  
Vol 8 (1-4) ◽  
pp. 53-58
Author(s):  
Christopher M. Snowden
Keyword(s):  
Thermal Effects ◽  
Large Scale ◽  
High Electron Mobility Transistors ◽  
Thermal Modelling ◽  
High Electron ◽  
Temperature Model ◽  
Active Devices ◽  
Electron Mobility Transistors ◽  
Fully Coupled ◽  
Scale Surface

A fully coupled electro-thermal hydrodynamic model is described which is suitable for modelling active devices. The model is applied to the non-isothermal simulation of pseudomorphic high electron mobility transistors (pHEMTs). A large-scale surface temperature model is described which allows thermal modelling of semiconductor devices and monolithic circuits. An example of the application of thermal modelling to monolithic circuit characterization is given.

scholarly journals Large‐Scale Surface Shape Sensing with Learning‐Based Computational Mechanics

2021 ◽  
pp. 2100089 ◽  
Author(s):  
Kui Wang ◽  
Chi‐Hin Mak ◽  
Justin D. L. Ho ◽  
Zhiyu Liu ◽  
Kam‐Yim Sze ◽  
...  
Keyword(s):  
Large Scale ◽  
Computational Mechanics ◽  
Surface Shape ◽  
Shape Sensing ◽  
Scale Surface

scholarly journals Effects of decimetre-scale surface roughness on L-band Brightness Temperature of Sea Ice

2019 ◽  
Author(s):  
Maciej Miernecki ◽  
Lars Kaleschke ◽  
Nina Maaß ◽  
Stefan Hendricks ◽  
Sten Schmidl Søbjrg
Keyword(s):  
Surface Roughness ◽  
Sea Ice ◽  
Brightness Temperature ◽  
Large Scale ◽  
Ice Thickness ◽  
Emission Model ◽  
Vertical Polarization ◽  
Sea Ice Thickness ◽  
L Band ◽  
Scale Surface

Abstract. Sea ice thickness measurements with L-band radiometry is a technique which allows daily, weather-independent monitoring of the polar sea ice cover. The sea-ice thickness retrieval algorithms relay on the sensitivity of the L-band brightness temperature to sea-ice thickness. In this work, we investigate the decimetre-scale surface roughness as a factor influencing the L-band emissions from sea ice. We used an airborne laser scanner to construct a digital elevation model of the sea ice surface. We found that the probability density function of surface slopes is exponential for a range of degrees of roughness. Then we applied the geometrical optics, bounded with the MIcrowave L-band LAyered Sea ice emission model in the Monte Carlo simulation to simulate the effects of surface roughness. According to this simulations, the most affected by surface roughness is the vertical polarization around Brewster's angle, where the decrease in brightness temperature can reach 8 K. The vertical polarization for the same configuration exhibits a 4 K increase. The near-nadir angles are little affected, up to 2.6 K decrease for the most deformed ice. Overall the effects of large-scale surface roughness can be expressed as a superposition of two factors: the change in intensity and the polarization mixing. The first factor depends on surface permittivity, second shows little dependence on it. Comparison of the brightness temperature simulations with the radiometer data does not yield definite results.

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