Evaluation of water inrush from underlying aquifers by using a modified water-inrush coefficient model and water-inrush index model: a case study in Feicheng coalfield, China
Evaluation of water inrush from underlying aquifers by using a modified water-inrush coefficient model and water-inrush index model: a case study in Feicheng coalfield, China
复制标题
利用修正突水系数模型和突水指数模型评价下伏含水层突水情况——以肥城煤田为例
DOI：
10.1007/s10040-019-01985-2
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发表时间：
2019-09-01
影响因子：
2.8
通讯作者：
Liu, Tianhao
中科院分区：
文献类型：
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作者：
Shi, Longqing;Qiu, Mei;Liu, Tianhao
华北地区石炭-二叠系煤层开采中，下伏含水层突水严重威胁着煤层的开采。为评价下伏含水层突水危险性，提出了利用突水系数（T）和地质构造指数（G）的改进突水系数法和突水指数模型（WII模型）。T_G模型对传统的突水系数法进行了改进，将地质构造发育程度定量化，考虑了G、含水层水压（P）和弱透水层厚度（M）3个主要控制因素。采用熵权法建立了底板突水风险评价的WII模型，该模型综合了6个因素：G、P、M、地压产生的岩石破碎带深度（C-p）、含水层产水性（Y）和弱透水层中脆性岩石的百分比（B）。工程实践数据分析结果表明，T_G和WII模型可作为评价下伏含水层突水风险的实用工具。对两种模型预测结果的对比分析表明，WII模型的预测精度比T_G模型高13%，约21%的预测结果不一致。将TG模型和WII模型应用于山东肥城煤田下伏含水层突水危险性评价，得到了较为合理的预测结果，为不同区域下伏奥陶系灰岩的水害防治措施提供了指导。
Water inrush from underlying aquifers seriously threatens mining of Permo-Carboniferous coal seams in many North China coalfields. To evaluate the risk of water inrush from underlying aquifers, a modified water-inrush coefficient method-using the water inrush coefficient (T) and geological structure index (G)-and a water-inrush index model (WII model) were proposed. The T_G model improved the traditional water-inrush coefficient method by quantifying the degree of geological structure development, considering three main controlling factors: G, aquifer water pressure (P) and aquitard thickness (M). The WII model was constructed to assess the risk of floor water inrush by the entropy weight method, which integrated six factors: G, P, M, the depth at which ground pressure creates a broken-rock zone (C-p), aquifer water yield property (Y), and percentage of brittle rock within the aquitard (B). Results from the engineering practice data analysis validated the T_G and WII models as operational tools to evaluate the risk of water inrush from an underlying aquifer. The comparative analysis of the predictions by these two models shows that the prediction accuracy of the WII model is 13% higher than that of the T_G model, and approximately 21% of the two model predictions are not in agreement. A more reasonable prediction was obtained with application of the T_G and WII models to Feicheng coalfield in Shandong Province to evaluate water inrush risk from the underlying aquifer, and the prediction offers guidance on different preventive measures against water hazards in the underlying Ordovician limestone in the different zones.