Mining subsidence monitoring model based on BPM-EKTF and TLS and its application in building mining damage assessment

2021 ◽  
Vol 80 (11) ◽  
Author(s):  
JingYu Li ◽  
Lei Wang
Author(s):  
Miguel Romilio Aceituno-Rojo ◽  
Henry Ivan Condori-Alejo ◽  
Guina Sotomayor Alzamora

2012 ◽  
Vol 500 ◽  
pp. 652-658
Author(s):  
Long Quan Chen ◽  
Feng Qiong Zou

Serious hazard for mining subsidence, and the prediction of traditional methods of land use change has many defects, this paper mainly analyzes mining subsidence's influence on land use by using GIS. Put data of mining subsidence and layer’s data of land use into ArcGIS, then change region of mining subsidence to regions of the different deep subsidence, then intersect layer of mining subsidence with one of land use, the different deep subsidence and land use database are spatially analyzed and the different lands are found out and their areas are calculated, ArcGIS expresses the result in the way of image. In the end do analysis of GIS according to the calculated result.


2014 ◽  
Vol 641-642 ◽  
pp. 767-772
Author(s):  
Xiao Lin Che ◽  
Jian Cheng Weng ◽  
Quan Yu ◽  
Tian Yu Xu

Taxis account for a large percent of urban public passenger transport. This research proposes a monitor model of analyzing unoccupied taxis at a defined area. By scientific analysis of taxi GPS data precision and quality, 16,255 valid taxis in register list were filtered, and two coefficients were introduced to correct the taxi monitoring model. Based on the location reports of valid taxis, the number of unoccupied taxi which was able to dispatch to meet passengers’ demands can be predicted. Take the terminal 3 of Beijing Capital International Airport as a case study, the field investigation results show that the precision of model reached 87.25%. It provides reliable systematic support and alert for a low taxi number when there comes up large taxi travel demand during the peak period or under severe weathers.


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