ArticleEnvironmental science and pollution research international2026
Integrated spatial analysis and Gaussian dispersion modelling of airborne particulate matter from rice processing mill hubs in rural Bangladesh and associated public health risks.
Article in Environmental science and pollution research international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rapid expansion of rice processing mills in agriculturally rich regions, such as Khajanagar, Kushtia, has resulted in elevated concentrations of particulate matter (PM), posing serious environmental and public health risks. The close proximity of rice mills to residential areas necessitates evaluating particulate matter dispersion to assess neighbourhood-level health risks. This study examines the spatial distribution, dispersion behaviour, and health impacts of PM₂.₅ and PM₁₀ across industrial and adjacent residential zones. A total of 69 sampling points were monitored using optical particle counters (OPCs) at 0-100 m (industrial) and 101-300 m (residential) distances, along with meteorological observations. PM₂.₅ concentrations in industrial areas exceeded all regulatory limits in Bangladesh, the WHO, and the U.S. EPA, while PM₁₀ exceeded WHO standards only within industrial zones; both fractions exceeded all benchmarks in residential areas. The Kruskal-Wallis test (p < 0.05) confirmed significant interzonal variation. Spatial mapping identified PM hotspots in the western and eastern industrial belts and the western residential cluster, providing empirical evidence of localized emission intensity and downwind accumulation driven by mill density and prevailing wind patterns. PM₂.₅ and PM₁₀ were highly correlated, though their relationships with humidity and temperature were weak. Gaussian plume modelling indicated that PM₁₀ dispersed and deposited over greater distances than PM₂.₅ due to its size-dependent transport under prevailing winds, increasing exposure in residential zones. AirQ⁺ health risk analysis revealed that PM₂.₅ exposure contributed to 39.78% of ALRI-related mortality in children under five, while in adults (≥ 30 years), it accounted for 48.01% of Chronic Obstructive Pulmonary Disease (COPD), 56.25% of Ischemic Heart Disease (IHD), and 65.05% of stroke deaths. PM₁₀ posed additional risks for IHD and lung cancer, with 34.16% of lung cancer mortality linked to PM₂.₅ exposure. By integrating spatial monitoring, dispersion modelling, and health risk assessment, this study identifies high-risk micro-environments and underscores the need for stricter emission control in rice-processing regions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.