Using mixing model to interpret the water sources and ratios in an under-sea mine
文献类型：期刊论文
| 作者 | Gu, Hongyu4; Ni, Huayong1; Ma, Fengshan7; Liu, Gang2; Hui, Xin3,6; Cao, Jiayuan5,7 |
| 刊名 | NATURAL HAZARDS
 |
| 出版日期 | 2020-08-29 |
| 页码 | 18 |
| 关键词 | Water inrush Water sources Proportion Mixing model Hydrochemistry PCA |
| ISSN号 | 0921-030X |
| DOI | 10.1007/s11069-020-04242-y |
| 英文摘要 | Identification of water sources is a key issue of water inrush. This study applied a mixing model based on hydrochemical data to identify water sources and proportions. This study highlighted (1) the importance of model scale and reaction evaluation before using the mixing model, (2) a newly proposed criterion based on eigenvalue analysis to identify the number of end-members, and (3) linear mixing model based on PCA (principal component analysis). 2.5 km(2)area was an appropriate scale to mixing model because tectonics and lithology were simple. Ion activity, ion exchange, and cycle time of water were evaluated, indicating that groundwater components were dominated by the mixing process. Tracers, such as K, Na, Ca, Mg, Cl, SO4, delta O-18, delta D, EC, TH, and TDS, were used as tracers in the mixing model. Five end-members (representing seawater, Quaternary water, freshwater, Ca-rich water, and Mg-rich water) were identified based on eigenvalue analysis and hydrochemical evolution analysis. A linear mixing algorithm was programmed using Matlab to compute the ratio of each end-member. The results showed that seawater was the dominated water sources (70% at most) threatening the mining operations, especially at the deep levels. Quaternary water mainly recharged the middle level and made up 50% at - 420 m level. Freshwater recharged the shallow level and made up to 40% at - 150 m level. Ca-rich water and Mg-rich water decreased with time. Finally, cross test and extension test of this method showed a high precision in reconstructing ion concentrations, low sensitivity to noise data, and highly extendible to future data. |
| WOS关键词 | STABLE-ISOTOPES ; END ; COMPONENTS ; IDENTIFICATION ; HYDROCHEMISTRY ; CHEMISTRY ; AQUIFER |
| 资助项目 | National Key Research and Development Program of China[2018YFC1504903] ; Natural Science Foundation of China's project[41907174] ; China geological survey's project[DD20190524] |
| WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000563732700002 |
| 出版者 | SPRINGER |
| 资助机构 | National Key Research and Development Program of China ; National Key Research and Development Program of China ; Natural Science Foundation of China's project ; Natural Science Foundation of China's project ; China geological survey's project ; China geological survey's project ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; Natural Science Foundation of China's project ; Natural Science Foundation of China's project ; China geological survey's project ; China geological survey's project ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; Natural Science Foundation of China's project ; Natural Science Foundation of China's project ; China geological survey's project ; China geological survey's project ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; Natural Science Foundation of China's project ; Natural Science Foundation of China's project ; China geological survey's project ; China geological survey's project |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/97677]  |
| 专题 | 地质与地球物理研究所_中国科学院页岩气与地质工程重点实验室 |
| 通讯作者 | Gu, Hongyu |
| 作者单位 | 1.China Geol Survey, Nanjing Ctr, Nanjing 210016, Jiangsu, Peoples R China 2.China Geol Survey, Xian Ctr, Xian 710054, Shanxi, Peoples R China 3.Beijing Jingtou Urban Util Tunnel Investment Co L, Beijing, Peoples R China 4.China Geol Survey, Chengdu Ctr, Chegndu 610081, Sichuan, Peoples R China 5.China Merchants Chongqing Commun Res & Design Ins, Chongqing, Peoples R China 6.Beijing Infrastruct Investment Co Ltd, Beijing, Peoples R China 7.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Shale Gas & Geoengn, Beijing 100029, Peoples R China |
| 推荐引用方式 GB/T 7714 | Gu, Hongyu,Ni, Huayong,Ma, Fengshan,et al. Using mixing model to interpret the water sources and ratios in an under-sea mine[J]. NATURAL HAZARDS,2020:18. |
| APA | Gu, Hongyu,Ni, Huayong,Ma, Fengshan,Liu, Gang,Hui, Xin,&Cao, Jiayuan.(2020).Using mixing model to interpret the water sources and ratios in an under-sea mine.NATURAL HAZARDS,18. |
| MLA | Gu, Hongyu,et al."Using mixing model to interpret the water sources and ratios in an under-sea mine".NATURAL HAZARDS (2020):18. |
入库方式： OAI收割
来源：地质与地球物理研究所
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