Air quality assessment in three East African cities using calibrated low-cost sensors with a focus on road-based hotspots

被引:30
|
作者
Singh, Ajit [1 ]
Ng'ang'a, David [2 ]
Gatari, Michael J. [2 ]
Kidane, Abel W. [3 ]
Alemu, Zinabu A. [3 ]
Derrick, Ndawula [4 ]
Webster, Mbujje J. [4 ]
Bartington, Suzanne E. [5 ]
Thomas, G. Neil [5 ]
Avis, William [6 ]
Pope, Francis D. [1 ]
机构
[1] Univ Birmingham, Sch Geog Earth & Environm Sci, Birmingham B15 2TT, W Midlands, England
[2] Univ Nairobi, Coll Architecture & Engn, Inst Nucl Sci & Technol, POB 3097-00100, Nairobi, Kenya
[3] Ethiopian Publ Hlth Inst, Addis Ababa, Ethiopia
[4] Ndejje Univ, Fac Engn, Kampala, Uganda
[5] Univ Birmingham, Inst Appl Hlth Res, Birmingham B15 2TT, W Midlands, England
[6] Univ Birmingham, Sch Govt, Int Dev Dept, Birmingham B15 2TT, W Midlands, England
来源
基金
英国工程与自然科学研究理事会;
关键词
air quality; particulate matter; transport; low-cost sensors; nairobi; kampala; addis ababa; SUB-SAHARAN AFRICA; POLLUTION; NAIROBI; PM2.5; EXPOSURE; EMISSIONS; OPC-N2;
D O I
10.1088/2515-7620/ac0e0a
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Poor air quality is a development challenge. Urbanization and industrial development along with increased populations have brought clear socio-economic benefits to Low-and Middle-Income Countries (LMICs) but can also bring disadvantages such as decreasing air quality. A lack of reliable air quality data in East African cities makes it difficult to understand air pollution exposure and to predict future air quality trends. This work documents urban air quality and air pollution exposure in the capital cities of Kampala (Uganda), Addis Ababa (Ethiopia) and Nairobi (Kenya). We build a situational awareness of air pollution through repeated static and dynamic mobile monitoring in a range of urban locations, including urban background, roadside (pavement and building), rural background, and bus station sites, alongside vehicle-based measurements including buses and motorcycle taxis. Data suggest that the measured particulate matter mass concentrations (PM2.5, PM10) in all studied cities was at high concentrations, and often hazardous to human health, as defined by WHO air quality guidelines. Overall, the poorest air quality was observed in Kampala, where mean daily PM2.5 and PM10 concentrations were significantly above the WHO limits at urban background locations by 122% and 69% and at roadside locations by 193% and 215%, respectively. Traffic is clearly a major contributor to East African urban air pollution; monitoring in Kampala and Addis Ababa, on motorcycle taxis, in buses and at bus stations indicated that drivers and commuters were exposed to poor air quality throughout their commute. Road-related air pollution can also impact indoor locations near roads. Using one exemplar building located within Nairobi's Central Business District, it is shown that measured outdoor PM concentrations significantly correlate with the indoor air quality (r = 0.84). This link between roadside emissions and indoor air pollution within buildings located close to the road should be explored more fully. This study, through a series of case studies, provides clear evidence that roads and traffic need to be a focus for mitigation strategies to reduce air pollution exposure in East African cities.
引用
收藏
页数:13
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