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imagery loss calculation loss ratio method remote sensing- earthquake-caused direct economic loss introduction analysis earthquake disaster assessment assessment unit statistical data/emergency database + remote assessment unit molecular mass biphenyl hollow grid panels liquid chromatography/mass spectrometry determination
DB/T 79-2018 in English

DB/T 79-2018 in English

VALID

Earthquake disaster assessment based on remote sensing- Earthquake-caused direct economic loss

  • Issued on:2018-12-26
  • Implemented on:2019-03-01
  • File Format:PDF
  • Delivery:Via email within 1~3 business days
Price(USD): $270.00
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Introduction

Analysis of the core content of the standard

Technical aspects Key points of the method Data requirements
Demarcation of the assessment area Must include intensity zones of 8 degrees and above, and extend to 7 degrees under high-resolution imagery Remote sensing imagery + administrative boundary vector data
Building statistics Combination of remote sensing interpretation and sampling, with a sampling area ≥10% of the assessment unit Statistical data/emergency database + remote sensing imagery
Loss calculation Loss Ratio Method (80% Collapse, 95% Partial Collapse, 45% Significant Damage) Reset Unit Price + Damage Level Data

Key Technical Indicators

Loss Conversion Factor: Based on statistics from 16 historical earthquakes, the ratio of building losses to total economic losses is ρEB = 1.58±0.66, and the proportion of losses in the Intensity VIII zone is ρB = 2.68±0.86.

Remote sensing interpretation requires a clear distinction between five types of building damage levels, with collapsed buildings confirmed through texture feature analysis.


Implementation Suggestions

  1. Prioritize the acquisition of aerial images with a resolution of 0.5m or higher
  2. Establish a regionally differentiated reset unit price database (e.g., rural/urban differences)
  3. Use GIS spatial overlay analysis to address the issue of assessment unit cutting

Standard Evolution Analysis

Compared to GB/T18208.4-2011, this standard innovatively introduces the remote sensing sampling statistics method to address the problem of missing data in earthquake zones, and establishes a historical earthquake parameter database in Appendix C to improve assessment reliability.

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