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Dryad

Replication data for estimating the below-ground leak rate of a natural gas pipeline using above-ground downwind measurements: THE ESCAPE−1 MODEL

Cite this dataset

Cheptonui, Fancy et al. (2023). Replication data for estimating the below-ground leak rate of a natural gas pipeline using above-ground downwind measurements: THE ESCAPE−1 MODEL [Dataset]. Dryad. https://doi.org/10.5061/dryad.8931zcrwq

Abstract

Gas leak detectors are currently used to survey for below-ground leaks. However, measurements from gas detectors are not precise in quantifying the below-ground leak rate—data in this submission aimed to quantify the below-ground leak rate of a Natural Gas pipeline.

README: Above-Ground Methane Measurements:


*Summary of dataset contents, contextualized in experimental procedures. *

  • A path-integrated methane detector was set 2 m above ground level.
  • A laser screen was positioned 15 to 20 m opposite of the detector.
  • Methane measurements were transmitted every 2 seconds during measurements (varied for some data sets)
  • The downwind distance from the leak center was either 5 m or 10 m depending on the controlled leak rate
  • A total of 11 experiments were conducted.

Data and file structure

  • The files are .csv meaning it can be opened with Microsoft excel or converted to .txt to re-use it
  • The data sets contain 2 columns; 1st column is the time column, and the 2nd column is the methane mixing ratios column
  • The 1st column is the time column in Mountain Time (one can always convert to any time zone)
  • The 2nd column is in parts per million meters (ppm-m)
  • The data can be used to re-produce a gas plume above-ground at various distances from the leak center and from varying leak rates. Dec02|03 data was from a 20 standard liters per minute (slpm) controlled leak\, Nov01|04 data are from a 5 slpm controlled leak\, and the remaining files are from a 10 slpm controlled leak.
  • Measurements were taken downwind relative to a 0.9 metres (leak depth) below-ground gas leak at a test bed with a grass surface cover.

Methods

This dataset consists of raw, unprocessed data. The data was collected at 2m Above ground level using a path-integrated methane detector (measurements were sampled using equipment that reports the mixing ratios in parts per million meter). Measurements were taken above a below-ground gas leak.

Funding

United States Department of Transportation, Award: 693JK32210006POTA

United States Department of Transportation, Award: 693JK32010011