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 vegetation mapping of the Pinega river valley (the surroundings of Golubino village, Arkhangelsk oblast)

2018 ◽  
pp. 19-39
Author(s):  
M. A. Makarova
Keyword(s):  
Plant Communities ◽  
Indicator Species ◽  
Dominant Species ◽  
Large Scale ◽  
Vegetation Mapping ◽  
River Valley ◽  
Floodplain Forests ◽  
Floodplain Vegetation ◽  
Wet Meadows ◽  
Arkhangelsk Oblast

Geobotanical survey of floodplain natural complexes near gypsum outcrops in the Pinega river valley was done in 2015. Large-scale geobotanical map of the key polygon (scale 1 : 30 000) was composed. Typological units of vegetation were selected on the basis of the composition of dominant species and groups of indicator species. Homogeneous and heterogeneous territorial units of vegetation (serial series, combinations, environmental series) were used. 53 mapped unit types (25 homogeneous types and 28 heterogeneous types) were recognized. The floodplain vegetation consists of 17 homogeneous types of plant communities, 3 series, 14 combinations and 6 ecological series. The sites of old floodplain forests, such as willow forests with Urtica sondenii rare in the Arkhangelsk region and oxbow wet meadows with Scolochloa festucacea were identified.

Classification of woody-shrub vegetation of the forest-steppe complex of Privolzhskaya Upland

2009 ◽  
pp. 27-53
Author(s):  
A. Yu. Kudryavtsev
Keyword(s):  
Plant Community ◽  
Plant Communities ◽  
Dominant Species ◽  
Large Scale ◽  
Nature Reserve ◽  
Vegetation Mapping ◽  
Vegetation Classification ◽  
Forest Steppe ◽  
Mapping Data

Diversity of plant communities in the nature reserve “Privolzhskaya Forest-Steppe”, Ostrovtsovsky area, is analyzed on the basis of the large-scale vegetation mapping data from 2000. The plant community classi­fication based on the Russian ecologic-phytocoenotic approach is carried out. 12 plant formations and 21 associations are distinguished according to dominant species and a combination of ecologic-phytocoenotic groups of species. A list of vegetation classification units as well as the characteristics of theshrub and woody communities are given in this paper.

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
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