Spatial Variation in Transport-Related Particulate Matter Fractions Across Urban Districts in Padang, Indonesia: Evidence from Nano Sampler-Based Measurements

Urban transport is a major contributor to particulate matter (PM) pollution, yet information on the spatial distribution of fine and ultrafine particle fractions remains limited in medium-sized tropical cities. This study examines the spatial variability of transport-related particulate matter across eleven urban districts in Padang, Indonesia, using Nano Sampler-based measurements. Size-segregated PM concentrations (PM10, PM2.5, PM1, and PM0.5) were obtained from 24 h sampling campaigns conducted between June and July 2025 at locations selected based on urban density, proximity to major roadways, and land-use characteristics. Descriptive statistics, correlation analysis, and principal component analysis were applied to evaluate spatial patterns and traffic-related influences. The results show pronounced spatial heterogeneity in PM concentrations. Traffic-intensive and mixed-use districts exhibited higher PM levels, particularly for coarse and ultrafine fractions, whereas coastal districts showed lower concentrations due to enhanced atmospheric ventilation. Strong correlations were observed between traffic volume and coarse PM fractions, with moderate associations for fine and ultrafine particles, indicating combined exhaust and non-exhaust emissions. These findings highlight the importance of district-specific mitigation strategies and size-resolved monitoring to support effective urban air-quality management.

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Journal
Earth
Published
2026-03-15
DOI
https://doi.org/10.3390/earth7020050
Primary Topic
Air Quality and Health Impacts
Type
article
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article

Spatial Variation in Transport-Related Particulate Matter Fractions Across Urban Districts in Padang, Indonesia: Evidence from Nano Sampler-Based Measurements

Reri Afrianita, Yega Serlina, Vera Surtia Bachtiar, Assyifa Raudina et al.
Earth
Air Quality and Health Impacts
article

Spatial Variation in Transport-Related Particulate Matter Fractions Across Urban Districts in Padang, Indonesia: Evidence from Nano Sampler-Based Measurements

Reri Afrianita, Yega Serlina, Vera Surtia Bachtiar, Assyifa Raudina, Haldi Reivan Thamrin, Zulva Shabri, Purnawan Purnawan
article en

Abstract

Urban transport is a major contributor to particulate matter (PM) pollution, yet information on the spatial distribution of fine and ultrafine particle fractions remains limited in medium-sized tropical cities. This study examines the spatial variability of transport-related particulate matter across eleven urban districts in Padang, Indonesia, using Nano Sampler-based measurements. Size-segregated PM concentrations (PM10, PM2.5, PM1, and PM0.5) were obtained from 24 h sampling campaigns conducted between June and July 2025 at locations selected based on urban density, proximity to major roadways, and land-use characteristics. Descriptive statistics, correlation analysis, and principal component analysis were applied to evaluate spatial patterns and traffic-related influences. The results show pronounced spatial heterogeneity in PM concentrations. Traffic-intensive and mixed-use districts exhibited higher PM levels, particularly for coarse and ultrafine fractions, whereas coastal districts showed lower concentrations due to enhanced atmospheric ventilation. Strong correlations were observed between traffic volume and coarse PM fractions, with moderate associations for fine and ultrafine particles, indicating combined exhaust and non-exhaust emissions. These findings highlight the importance of district-specific mitigation strategies and size-resolved monitoring to support effective urban air-quality management.

EarthVol. 7(2)
University of Indonesia (ID), Andalas University (ID)
Sustainable cities and communities
Openalex Percentile: Top 23%
Air Quality and Health Impacts
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Spatial Variation in Transport-Related Particulate Matter Fractions Across Urban Districts in Padang, Indonesia: Evidence from Nano Sampler-Based Measurements — Reri Afrianita, Yega Serlina, et al. · Earth (2026) | TGRS Research Map | TGRS