Permian “vegetational Pompeii”: A peat-forming in situ preserved forest from the Wuda Coalfield, Inner Mongolia, China – Introduction to a volume of detailed studies

Author(s):  
Jun Wang ◽  
Hermann W. Pfefferkorn ◽  
Stanislav Opluštil ◽  
Hans Kerp
Keyword(s):  
2017 ◽  
Vol 220 ◽  
pp. 76-84 ◽  
Author(s):  
Jianju Du ◽  
Xianghui Qin ◽  
Qingli Zeng ◽  
Luqing Zhang ◽  
Qunce Chen ◽  
...  

Water ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 655 ◽  
Author(s):  
Fangpeng Cui ◽  
Qiang Wu ◽  
Chen Xiong ◽  
Xiang Chen ◽  
Fanlan Meng ◽  
...  

On 1 March 2010, a disastrous groundwater inrush occurred at the Luotuoshan coalmine in Wuhai (Inner Mongolia, China). Great effort was taken during the post-accident rescue. However, triggered by a large amount of groundwater rushed in from the Ordovician limestone aquifer underlying the No.16 coal seam through the fractured sandy claystone and the karst collapse column, it caused great damage, including 32 deaths and direct economic losses of over 48 million yuan. The groundwater inrush originated from the floor heave in the air return gallery of the No.16 coal seam. The peak inflow rate was 60,036 m3/h. The gallery excavation under conditions caused by the incompletely recognized hydrogeological environment induced the accident. The unidentified spatial distribution of the karst collapse column triggered the accident directly. The high-pressure groundwater accumulated in the collapse column and the gallery excavation, which caused the redistribution of the in situ stress, contributing to progressive fractures in the floor of the No. 16 coal seam. Eventually, an intensive water-conductive passage consisting of the fractured floor and the karst collapse column formed. Administratively/technically, that mandatory regulations on gallery excavation were not carried out which contributed the accident. Moreover, the poor awareness about groundwater inrush recognition and quick remediation also contoirbuted to the disastrous extent of the accident.


Author(s):  
Stanislav Opluštil ◽  
Jun Wang ◽  
Hermann W. Pfefferkorn ◽  
Josef Pšenička ◽  
Jiří Bek ◽  
...  

2021 ◽  
Vol 119 ◽  
pp. 104684
Author(s):  
Ruiyun Li ◽  
Xiaoqiang Li ◽  
Xuelian Wang ◽  
Bainian Sun

2011 ◽  
Vol 383-390 ◽  
pp. 3685-3689 ◽  
Author(s):  
Hai Feng Wang ◽  
Wen Jun Yin ◽  
Meng Zhang ◽  
Jin Dong

Advanced data assimilation method is used for the short-term wind power forecasting based on a meso-scale model. Considerable forecast error reduction is concluded from a case study in China, where a better resolved high-resolution initial condition is introduced via assimilating various in-situ observations.


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