Water distribution extracted from mining subsidence area using Kriging interpolation algorithm
By comprehensively analyzing the data of geology and mining, Kriging algorithm was introduced to analyze the thematic information of geological data, to rapidly extract mining parameters for predicting mining subsidence, and to effectively integrate geomorphology and predict information. As a result, the change information of water body is successfully detected from the prediction of surface subsidence due to mining activity. Analysis shows that the elevation of farmland in the west side of water body will be lower than ever, and the west part farmland will be submerged. However, there is no evidence for impacting the villages. All the information provides a reference for efficiently assessing environmental impact due to mining activity, which can help to govern the subsidence of the area reasonably.
Kriging interpolation water body mining subsidence prediction parameters data fusion
DAI Hua-yang REN Li-yan WANG Meng XUE Hai-bing
College of Geosicence and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China
国际会议
河南焦作
英文
723-726
2011-06-18（万方平台首次上网日期，不代表论文的发表时间）