KA/T 6-2023 in English
VALIDHydrochemical method for identifying water source of mine water inrush
- Issued on:2023-10-26
- Implemented on:2024-01-31
- File Format:PDF
- Delivery:Via email within 1~3 business days
$127.00
| Standard No: | KA/T 6-2023 |
| Document status: | VALID |
| Title in English: | Hydrochemical method for identifying water source of mine water inrush |
| Title in Chinese: | 矿井突水水源水化学判别方法 |
| Language: | English |
| File Format: | Electronic (PDF) |
| Delivery: | Via email within 1~3 business days |
| Issued on: | 2023-10-26 |
| Implemented on: | 2024-01-31 |
| ICS Classification: | 73.020-Mining and quarrying |
| Chinese Classification: | D14-Hydrogeological survey |
| Professional Classification: | KA- |
| Related Keywords: | isotope analysis water inrush detection
water inrush point mine water organic water chemistry analysis method technology evolution analysis compared water samples |
| Related Topics: | foreign mine water
Discriminant analysis |
本文件规定了矿井水化学基础数据库的建立、标准水样水化学资料分析、突水水质检测及矿井突水水源水化学判别方法的技术要求。
本文件适用于矿井突水水源水化学判别。
Introduction
Analysis of the core content of the standard
| Technical aspects | Key requirements | Innovation points |
|---|---|---|
| Hydrochemistry database | Must include 3 types of information: basic data of water samples, test data, analysis and collation data | Replace traditional ledgers and realize dynamic updates |
| Standard water samples | For each aquifer, ≥3 samples need to establish 5 types of characteristic maps such as Piper three-line diagram | Introduce trace element and isotope analysis |
| Water inrush detection | The sampling point is ≤5m from the water inrush point, and the detection index is ≥MT/T 672 requirements | New organic water chemistry analysis method |
Technology evolution analysis
Compared with traditional methods, this standard has three major breakthroughs: 1) Establishment of a dynamic water chemistry database; 2) Introduction of a machine learning discriminant model (Bayes multi-group discrimination); 3) New organic matter feature analysis (TOC, 3DEEM spectrum). In particular, the characteristic ion ratio method specified in Appendix A has increased the accuracy of water source identification by more than 40%.
Implementation suggestions
Application case of a coal mine in Shanxi
After the mine established the discrimination model using clause 7.1.5 of the standard:
1) The response time for identifying old empty water was shortened from 72 hours to 4 hours
2) The error in calculating the proportion of mixed water sources was ≤15%
Operation tips: It is recommended to use Cl- ions for mixing ratio calculation (standard 7.1.4) first. When the mineralization is >3g/L, δD isotope correction is required.

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