DB/T 83-2020 in English

VALID

Active fault survey-Inspection of database

Issued on:2020-03-30
Implemented on:2020-07-01
File Format:PDF
Delivery:Via email within 5 business days

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Standard No:	DB/T 83-2020
Document status:	VALID
Title in English:	Active fault survey-Inspection of database
Title in Chinese:	活动断层探察数据库检测
Language:	English
File Format:	Electronic (PDF)
Delivery:	Via email within 5 business days
Issued on:	2020-03-30
Implemented on:	2020-07-01
ICS Classification:	91.120.25-Seismic and vibration protection
Chinese Classification:	P15-Engineering seismic resistance
Professional Classification:	DB-Provincial Standard
Related Keywords:	active fault data active fault survey-inspection qualitative elements detection methods data integrity amount data data timeliness computer strike consistency detection
Related Topics:	database fault Probe Data Automatic Layer detection basis data detection detecting animals animal detection Detection data analysis Semi-quantitative detection data database detection detection database Explore Detection data analysis Automatic Thin Layer Inspection active layer detection database curve database Test basis English Testing Center Activities sex test data detecting animals Detection and detection equipment data probing observe broken water testing data animal detection Data Detection Tool Active fault detection db-T15 Borehole detection

本标准规定了活动断层数据库检测的内容、方法、流程以及检测结果记录与评定。
本标准适用于活动断层填图、城市活动断层探测以及断层活动性鉴定等数据库的检测。

Introduction

Analysis of the core content of the standard

Detection dimensions	Quantitative elements	Qualitative elements	Detection methods
Data integrity	Amount of redundant/missing data	Data timeliness	Computer automatic detection
Logical consistency	Value range/topology rules	Processing flow	Template comparison + manual review
Spatial accuracy	Coordinate error ≤19 tolerance	Map consistency	Layer overlay detection

Key technical points

Fault strike consistency detection requires that the deviation between the geometric trend and the attribute field dip be controlled within the 15° range. For example: when the fault line strikes N45°E, the dip attribute value should be between N30°E and N60°E.

Computer automatic detection is achieved through the spatial azimuth calculation algorithm, and manual detection needs to be verified with the geological compass measurement data.

Background of Standard Evolution

This standard inherits the ISO 19157:2013 data quality framework, and adds the following features for active fault data:

Fault-specific topological rules (Appendix A.7)
17-digit ID coding verification mechanism (6-digit city code + 3-digit thematic code + 8-digit custom code)
Field sampling accuracy and spatial matching requirements for total station measurement data

Implementation Suggestions

Establish a detection rule library: Develop an automated verification script based on Appendix A
Phase-by-stage quality control: Embed detection nodes in each link of data collection, storage and update
Use the spatial analysis module of the GIS platform for topological verification
The detection report should include the 8 core contents specified in Clause 11.2

More samples: NB/T 47013.2-2015 GB 50021-2001(2009) DL/T 5154-2012

Sample only — not a preview of DB/T 83-2020