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DB/T 70-2018 in English

DB/T 70-2018 in English

VALID

Report writing specifications for the field verification of observed seismic anomaly-Underground fluid

  • Issued on:2018-12-26
  • Implemented on:2019-03-01
  • File Format:PDF
  • Delivery:Via email within 1~3 business days
Price(USD): $230.00
$224.00


Introduction

Interpretation of the core content of the standard

Element categories Practice in the 1990s Current standard requirements Technological evolution
Basis for abnormal judgment Empirical qualitative judgment Supported by physical/chemical experimental data Quantitative analysis replaces subjective judgment
Report structure Non-standard free format Four-part eight-element system Establishment of standardized template
Technical methods Single water level observation Multi-parameter Joint Analysis Improved Comprehensive Monitoring Capabilities

Key Technical Points

Anomaly Classification System

The standard clearly divides anomalies into three categories: tectonic activity anomalies (Grades A/B/C), interference anomalies, and pending anomalies. Category A anomalies must meet the following requirements: Observation curves from equipment such as water level meters must be dynamically stable and have excellent predictive performance. Supporting documentation must include at least five items, such as aquifer parameter calculations and water temperature gradient maps. Environmental Survey Specifications require the establishment of a three-dimensional impact factor matrix: The horizontal range must indicate the distribution of pumping and injection wells within a 3km radius, and the vertical range must measure the hydraulic connection coefficient between the observation layer and the interference layer. A typical example is that in 2017, abnormal water levels at a station in Anhui Province were ultimately attributed to a newly built irrigation system 2.5km away.


Implementation Recommendations

  1. Multi-source data integration: It is recommended to establish a regional hydrogeological database to achieve automated cross-validation
  2. Equipment configuration: On-site verification should be equipped with equipment such as downhole television and portable water quality analyzers.
  3. Staff training: Emphasis should be placed on professional skills training
  4. such as analysis methods and Piper diagram drawing.

Background of Standard Development

Based on the statistical analysis of 427 anomaly verification cases between 2008 and 2016, it was found that the original method had the following problems: ① 23% of the reports lacked quantitative basis ② 37% of the environmental surveys were incomplete. This standard introduces for the first time Hydrogeochemical Characteristics Analysis (Appendix B) and Anomaly Reliability Assessment System (Clause 4.5.3), which increases the reliability of conclusions by more than 40%.

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