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Research on dynamic prediction model of surface subsidence in mining areas with thick unconsolidated layers
Author(s) -
Shenshen Chi,
Lei Wang,
Xuexiang Yu,
Weicai Lv,
Xinjian Fang
Publication year - 2021
Publication title -
energy exploration and exploitation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.435
H-Index - 30
eISSN - 2048-4054
pISSN - 0144-5987
DOI - 10.1177/0144598720981645
Subject(s) - subsidence , groundwater related subsidence , geology , structural basin , exponential function , function (biology) , geotechnical engineering , geomorphology , mathematics , evolutionary biology , biology , mathematical analysis
In order to improve the accuracy of the surface dynamic prediction model in mining areas with thick unconsolidated layers and improve Knothe time function, the influence coefficient was firstly changed into the coefficient in exponential form, and the influence coefficient of unconsolidated layer was added. Then, a subsidence basin prediction model for mining under thick unconsolidated layers was established. Next, the model was combined with the improved Knothe function, thus constructing a new mining subsidence prediction model. The new subsidence prediction model was applied in 1414 (1) working face in Huainan mining area. The results showed that the integrated model could better reflect the subsidence process, and the prediction values and the measured values agreed well.

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