There is a newer version of the record available.

Published November 4, 2024 | Version v2

Brick Kiln Dataset for Pakistan's IGP Region Using AI

  • 1. School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad, 46000, Pakistan
  • 2. Department of Geoinformatics – Z GIS, University of Salzburg, 5020, Austria
  • 3. Smith School of Enterprise and Environment, University of Oxford, South Parks Rd, Oxford OX1 3QY

Description

This dataset represents the first geospatial mapping of brick kiln sites in the IGP region of Pakistan, providing an invaluable resource for understanding the spatial distribution of these sites. Each data point captures a brick kiln's precise location, including coordinates, state, and other important information, standardized in Coordinate Reference System (CRS) EPSG:4326 (WGS 84). This dataset, to the best of our knowledge, is the first of its kind to consolidate and geolocate brick kiln operations across this region, where air pollution impacts from kiln emissions are a significant environmental and public health concern.

In addition to the primary geolocation data, the dataset also includes an initial, secondary estimation of emissions (PM10, PM2.5, NOx, and SOx) from these sites. This supplementary information supports preliminary risk assessments, emphasizing proximity-based exposure for populations and sensitive areas (e.g., schools, hospitals) within a 1 km radius of each kiln site. 

The dataset is made available in multiple formats to facilitate wide usage across spatial analysis platforms:

  • Geojson (.geojson)
  • Shapefile (.shp)
  • Comma-Separated Values (.csv)

Metadata:

  • Geographic Coverage: IGP - Pakistan
  • CRS: EPSG:4326 (WGS 84)

Data Structure:

"Main" files have Basic ID & Location information, while the "Emission" files have Basic ID & Location + Production & Emission information. 

Basic ID & Location

  • id: Unique identifier for the kiln.
  • lat: Latitude of the kiln location.
  • lon: Longitude of the kiln location.
  • state: State where the kiln is located.
  • type: Type of kiln (e.g., FCBK).

Production Data

  • avg_bricks: Average number of bricks produced daily. Refer to the GitHub repository for detailed methodology.
  • seasonprod(bricks): Seasonal production of bricks in kilograms (excluding monsoon and smog days, considering 215 operational days).

Daily Emissions

  • pm2.5d(kg): Daily PM2.5 emissions in kilograms.
  • pm10d(kg): Daily PM10 emissions in kilograms.
  • noxd(kg): Daily NOx emissions in kilograms.
  • soxd(kg): Daily SOx emissions in kilograms.

Seasonal Emissions

  • pm2.5s(kg): Seasonal PM2.5 emissions in kilograms.
  • pm10s(kg): Seasonal PM10 emissions in kilograms.
  • noxs(kg): Seasonal NOx emissions in kilograms.
  • soxs(kg): Seasonal SOx emissions in kilograms.

Emission Factors

  • emf_coal(pm2.5): Emission factor for PM2.5 using coal as fuel (kg).
  • emf_coal(pm10): Emission factor for PM10 using coal as fuel (kg).
  • emf_coal(nox): Emission factor for NOx using coal as fuel (kg).
  • emf_coal(so2): Emission factor for SOx using coal as fuel (kg).
  • emf_coal(pm2.5): Emission factor for PM2.5 using biomass as fuel (kg).
  • emf_coal(pm10): Emission factor for PM10 using biomass as fuel (kg).
  • emf_coal(nox): Emission factor for NOx using biomass as fuel (kg).
  • emf_coal(so2): Emission factor for SOx using biomass as fuel (kg).

Seasonal Emissions by Fuel Type

  • pm2.5s_c(kg): Seasonal PM2.5 emissions in kilograms using coal as a fuel.
  • pm10s_c(kg): Seasonal PM10 emissions in kilograms using coal as a fuel.
  • noxs_c(kg): Seasonal NOx emissions in kilograms using coal as a fuel.
  • so2s_c(kg): Seasonal SO2 emissions in kilograms using coal as a fuel.
  • pm2.5s_b(kg): Seasonal PM2.5 emissions in kilograms using biomass as a fuel.
  • pm10s_b(kg): Seasonal PM10 emissions in kilograms using biomass as a fuel.
  • noxs_b(kg): Seasonal NOx emissions in kilograms using biomass as a fuel.
  • so2s_b(kg): Seasonal SO2 emissions in kilograms using biomass as a fuel.

Funding Sources: This research and data collection were funded by Amazon Web Services (AWS) and Smith School of Enterprise and The Environment (University of Oxford). 

Files

Brick_Kilns_IGP_Emissions_PK.csv

Files (50.7 MB)

Name Size Download all
md5:ae3b3df9970b49b6523e608759bc957d
5 Bytes Download
md5:2fc67fea8875965b3804b82dc2f33409
2.8 MB Preview Download
md5:8057a9c18f69157f529c7368301691c1
18.9 MB Download
md5:1139a6f70206a7311c29f35a599050b8
10.0 MB Preview Download
md5:c742bee3d4edfc2948a2ad08de1790a5
145 Bytes Download
md5:750c623ef1bc4cf0652ec49c5f9fdd13
701 Bytes Download
md5:df59cc80e5991a56ee707378dc119716
315.7 kB Download
md5:20cd8c746db845d0c8c2a327bf9dfde9
90.3 kB Download
md5:5428465c8a65420279c3363c70c89cce
3.6 MB Download
md5:ae3b3df9970b49b6523e608759bc957d
5 Bytes Download
md5:e96975b1749e1f453d8a4f898ebe88bc
578.9 kB Preview Download
md5:759f54685cc945d38b1aca759a625020
9.5 MB Download
md5:3b3b2d31e247da22d60552ce090731da
2.8 MB Preview Download
md5:c742bee3d4edfc2948a2ad08de1790a5
145 Bytes Download
md5:3c2d80d55c400e5af15210bb772b9282
1.6 kB Download
md5:df59cc80e5991a56ee707378dc119716
315.7 kB Download
md5:20cd8c746db845d0c8c2a327bf9dfde9
90.3 kB Download
md5:fe0b670b80e26e72170f462b2a865cf9
1.7 MB Download

Additional details

Related works

Is part of
Journal article: 10.1038/s41597-025-05148-9 (DOI)

Dates

Available
2024-11-04