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Database: 365,228(8 Aug 2026)
verification report field verification observedseismic anomaly-seismometry introduction technical background tectonic stress field three-parameter synchronization verification three-dimensional magnetic field measurement system compressor test benches high concentration operation
DB/T 96-2024 in English

DB/T 96-2024 in English

VALID

Report writing specifications for the field verification of observedseismic anomaly-Seismometry

  • Issued on:2024-03-01
  • Implemented on:2024-09-01
  • File Format:PDF
  • Delivery:Via email within 1~3 business days
Price(USD): $180.00
$175.00

本文件规定了测震异常现场核实报告的基本要求、资料收集与分析的主要内容以及编排格式。
本文件适用于测震异常现场核实报告的编写。


Introduction

Technical background and evolution of the standard

As an important part of the DB/T series, this standard inherits and develops the technical framework of the 2005 version of "Terms for Earthquake Disaster Prevention and Reduction" and the 2007 version of "Earthquake Case Summary Specification". With the popularization of the digital seismic station network, the accuracy of anomaly identification has been improved from ±0.5 to ±0.1, prompting the verification report to include more sophisticated waveform analysis and parameter calculation.


Core Content Analysis

ElementsTraditional RequirementsInnovations of This Standard
Abnormal DeterminationQualitative Description-BasedQuantitative Index System (5 items including b-value, modulation ratio, etc.)
On-site InvestigationRadius 10km20km Dynamic AdjustmentMechanism
Prediction EffectivenessExperience JudgmentThree-level Reliability Classification (Reliable/Relatively Reliable/Reference)

Key Technical Points

Four-step method for anomaly analysis

  1. Background analysis: It needs to include a three-dimensional model of the tectonic stress field (the deviation of the principal compressive stress direction is ≤15°)
  2. Time series analysis: It requires NME three-parameter synchronization verification (sampling rate ≥1Hz)
  3. Spatial correlation: Adopt repositioning technology (positioning error <1km)
  4. Environmental interference elimination: Establish a reservoir/mine activity database for comparison

Implementation suggestions

1. Multi-source data fusion: It is recommended to integrate InSAR surface deformation data and seismic parameters
2. Efficiency improvement: Adopt machine learning algorithm to optimize b value calculation (random forest model is recommended)
3. Quality Control: Establish a three-level review system for reports (analyst-technical leader-expert group)

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