A Multilevel Recognition Model of Water Inrush Sources: A Case Study of the Zhaogezhuang Mining Area
Lin, Gang1,2; Jiang, Dong1,2,3; Dong, Donglin4; Fu, Jingying1,2; Li, Xiang4
刊名MINE WATER AND THE ENVIRONMENT
2021-07-04
页码10
关键词Water inrush source identification Hydrochemical analysis Improved genetic algorithm Extreme learning machine Zhaogezhuang mine
ISSN号1025-9112
DOI10.1007/s10230-021-00793-z
通讯作者Fu, Jingying(fujy@igsnrr.ac.cn)
英文摘要Discriminating water inrush sources efficiently and accurately is necessary to control water in coal mines. We combined the improved genetic algorithm (IGA) and extreme learning machine (ELM) methods and applied this new method to the Zhaogezhuang mining area. The IGA-ELM method effectively solved the complex non-linear problems encountered in identifying water sources and proved to have several advantages over conventional methodology. The IGA for the hill-climbing method was adopted to use the weights and thresholds of the ELM, which overcame the prematurity of the traditional genetic algorithm and the instability of the ELM model. Three types of water were identified in different aquifers of the Zhaogezhuang mining area: SO4-Ca in the Laotang water, SO4 center dot HCO3-Ca in the Ordovician limestone water, and HCO3-Ca in the fractured sandstone roof of the no. 12 and 13 coal seams. The water sample recognition was 95% accurate, which proved that the water inrush source in the Zhaogezhuang mining area was accurately identified by the IGA-ELM model.
资助项目National Natural Science Foundation of China[41971250] ; National Natural Science Foundation of China[U1710258] ; National Natural Science Foundation of China[41972255] ; Youth Innovation Promotion Association[2018068]
WOS研究方向Water Resources
语种英语
出版者SPRINGER HEIDELBERG
WOS记录号WOS:000669413100001
资助机构National Natural Science Foundation of China ; Youth Innovation Promotion Association
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/163807]  
专题中国科学院地理科学与资源研究所
通讯作者Fu, Jingying
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, 11A Datun Rd, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, 19A Yuquan Rd, Beijing 100049, Peoples R China
3.Minist Nat Resources, Key Lab Carrying Capac Assessment Resource & Envi, 46 Fuchengmen Rd, Beijing 100812, Peoples R China
4.China Univ Min & Technol Beijing CUMTB, Coll Geosci & Surveying Engn, Ding 11 Xueyuan Rd, Beijing 100083, Peoples R China
推荐引用方式
GB/T 7714
Lin, Gang,Jiang, Dong,Dong, Donglin,et al. A Multilevel Recognition Model of Water Inrush Sources: A Case Study of the Zhaogezhuang Mining Area[J]. MINE WATER AND THE ENVIRONMENT,2021:10.
APA Lin, Gang,Jiang, Dong,Dong, Donglin,Fu, Jingying,&Li, Xiang.(2021).A Multilevel Recognition Model of Water Inrush Sources: A Case Study of the Zhaogezhuang Mining Area.MINE WATER AND THE ENVIRONMENT,10.
MLA Lin, Gang,et al."A Multilevel Recognition Model of Water Inrush Sources: A Case Study of the Zhaogezhuang Mining Area".MINE WATER AND THE ENVIRONMENT (2021):10.
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