A Multilevel Recognition Model of Water Inrush Sources: A Case Study of the Zhaogezhuang Mining Area
文献类型：期刊论文
| 作者 | Lin, Gang1,4; Jiang, Dong1,2,4; Dong, Donglin3; Fu, Jingying1,4; Li, Xiang3 |
| 刊名 | MINE WATER AND THE ENVIRONMENT
 |
| 出版日期 | 2021-07-04 |
| 页码 | 10 |
| ISSN号 | 1025-9112 |
| 关键词 | Water inrush source identification Hydrochemical analysis Improved genetic algorithm Extreme learning machine Zhaogezhuang mine |
| DOI | 10.1007/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 |
| 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.Minist Nat Resources, Key Lab Carrying Capac Assessment Resource & Envi, 46 Fuchengmen Rd, Beijing 100812, Peoples R China 3.China Univ Min & Technol Beijing CUMTB, Coll Geosci & Surveying Engn, Ding 11 Xueyuan Rd, Beijing 100083, Peoples R China 4.Univ Chinese Acad Sci, Coll Resources & Environm, 19A Yuquan Rd, Beijing 100049, 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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