Evidence map›Paper›PMID 26800674›Full record

ReviewCurrent environmental health reports2016

Highlighting Uncertainty and Recommendations for Improvement of Black Carbon Biomass Fuel-Based Emission Inventories in the Indo-Gangetic Plain Region.

Sutyajeet I Soneja, James M Tielsch, Subarna K Khatry, Frank C Curriero, Patrick N Breysse

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current environmental health reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Trial
  2. Quantifying the impact of air pollution from coal-fired electricity generation on crop productivity in India.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sutyajeet I SonejaDepartment of Environmental Health Sciences, Bloomberg School of Public Health, Johns Hopkins University, 615 North Wolfe Street, Room E7527, Baltimore, MD, 21205, USA. ssoneja1@jhu.edu.
James M TielschDepartment of Global Health, Milken Institute School of Public Health, George Washington University, Washington, DC, 20052, USA.
Subarna K KhatryNepal Nutrition Intervention Project Sarlahi, Kathmandu, Nepal.
Frank C CurrieroDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, 21205, USA.
Patrick N BreysseDepartment of Environmental Health Sciences, Bloomberg School of Public Health, Johns Hopkins University, 615 North Wolfe Street, Room E7527, Baltimore, MD, 21205, USA.

Funding

PILOT STUDY--ACID FOG, AN EXPERIMENTAL MODELP30ES003819 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI GROOPMAN, JOHN D · 1985 to 2012
$22.6M
Cookstove Replacement for Prevention of ARI and Low Birthweight in NepalR01ES015558 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI TIELSCH, JAMES M · 2008 to 2012
$4.6M
NIEHS NIH HHS ES003819NIEHS NIH HHS ES015558
6 · The paper itself

Abstract

Black carbon (BC) is a major contributor to hydrological cycle change and glacial retreat within the Indo-Gangetic Plain (IGP) and surrounding region. However, significant variability exists for estimates of BC regional concentration. Existing inventories within the IGP suffer from limited representation of rural sources, reliance on idealized point source estimates (e.g., utilization of emission factors or fuel-use estimates for cooking along with demographic information), and difficulty in distinguishing sources. Inventory development utilizes two approaches, termed top down and bottom up, which rely on various sources including transport models, emission factors, and remote sensing applications. Large discrepancies exist for BC source attribution throughout the IGP depending on the approach utilized. Cooking with biomass fuels, a major contributor to BC production has great source apportionment variability. Areas requiring attention tied to research of cookstove and biomass fuel use that have been recognized to improve emission inventory estimates include emission factors, particulate matter speciation, and better quantification of regional/economic sectors. However, limited attention has been given towards understanding ambient small-scale spatial variation of BC between cooking and non-cooking periods in low-resource environments. Understanding the indoor to outdoor relationship of BC emissions due to cooking at a local level is a top priority to improve emission inventories as many health and climate applications rely upon utilization of accurate emission inventories.

Indexed as

CookingAir PollutantsAir PollutionAsia, WesternBiomassCarbonEnvironmental MonitoringHumansParticulate MatterSootAir PollutantsCarbonParticulate MatterSootBiomass fuelBlack carbonCookstoveEmissionsIndo-Gangetic PlainInventoriesVentilation

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.