Spatial distribution and health implications of particulate matter concentrations across diverse land use types in Dinajpur District, Bangladesh

Ahmad Kamruzzaman Majumder , Kazi Khaled Mahmud , Marziat Rahman , Md. Nasir Ahmmed Patoary , Sneha Gautam , Kaspia Rahman Tanima
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Abstract

This study investigates the concentrations of particulate matter (PM1, PM2.5 and PM10) across various land use types in Dinajpur District, Bangladesh, highlighting significant spatial variations in PM concentrations in sensitive, residential, mixed, commercial, road intersection, industrial, and village areas. Along with this, examines the health consequences linked to increased levels of particulate matter (PM).The investigation was carried out in sites within the area of Dinajpur district town, utilising a portable Air Quality Monitor, Portable Air Quality Detector (Model: DM106) and Garmin ETrex 10. To examine and illustrate the differences in pollutant concentrations among various locations, whisker box plots and descriptive statistics were used. Likewise, ArcGIS software was used for spatial analysis, and a dendrogram plot was created to classify and interpret data clusters, providing a deeper understanding of the spatial distribution of pollutants. PM2.5 levels in worst affected sensitive area, Dinajpur General Hospital (77.00 µg/m³), exceeded the Bangladesh National Ambient Air Quality Standards (NAAQS) level (65 µg/m³) by 1.18 times and WHO standards (25 µg/m³) by 3.08 times. Besides, residential areas like Gabgash Residential (78.50 µg/m³) showed PM2.5 concentrations 1.20 and 3.14 times higher than NAAQS and WHO standards respectively. Moreover, commercial zones, particularly around AB Bank, exhibited the highest pollution levels with PM2.5and PM10 concentrations 2.44 and 1.28 times higher than NAAQS norms, respectively. However, road intersections such as Bahadur Mor (113.25 µg/m³) recorded PM2.5 concentrations 1.74 times higher than NAAQS while industrial areas like Sonali Brick Field showed PM2.5 levels exceeding NAAQS by 1.46 times.
Finally, the study calculated an Attributable Mortality value of 892 owing to PM2.5, highlighting the significant impact of particle pollution on human health in Dinajpur Sadar. These findings contribute to the understanding of local air quality patterns, emphasizing the critical need for targeted interventions to protect public health and reduce exposure to harmful particulate matter in Dinajpur District.

Abstract Image

孟加拉国迪纳杰普尔区不同土地利用类型中颗粒物浓度的空间分布及其对健康的影响
本研究调查了孟加拉国Dinajpur地区不同土地利用类型的颗粒物(PM1、PM2.5和PM10)浓度,突出了敏感、住宅、混合、商业、道路交叉口、工业和村庄地区的PM浓度的显著空间差异。与此同时,研究了与颗粒物(PM)水平增加有关的健康后果。调查是在Dinajpur区城镇区域内的站点进行的,使用便携式空气质量监测仪、便携式空气质量检测器(型号:DM106)和Garmin ETrex 10。为了检查和说明不同地点之间污染物浓度的差异,使用了须状盒图和描述性统计。同样,使用ArcGIS软件进行空间分析,并创建树形图对数据簇进行分类和解释,从而更深入地了解污染物的空间分布。受影响最严重的敏感地区Dinajpur综合医院的PM2.5水平(77.00µg/m³)超过孟加拉国国家环境空气质量标准(65µg/m³)的1.18倍,超过世界卫生组织标准(25µg/m³)的3.08倍。此外,Gabgash住宅(78.50µg/m³)等住宅区的PM2.5浓度分别比NAAQS和WHO标准高出1.20倍和3.14倍。此外,商业区,特别是AB Bank附近,污染程度最高,pm2.5和PM10浓度分别是NAAQS标准的2.44倍和1.28倍。但是,巴哈杜尔莫尔等路口(113.25µg/m³)的PM2.5浓度是NAAQS的1.74倍,Sonali Brick Field等工业区的PM2.5浓度是NAAQS的1.46倍。最后,该研究计算出PM2.5导致的归因死亡率值为892,突出了颗粒污染对Dinajpur Sadar地区人类健康的重大影响。这些调查结果有助于了解当地空气质量模式,强调迫切需要采取有针对性的干预措施,以保护迪纳杰普尔地区的公众健康并减少接触有害颗粒物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
4.70
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