Earth observation: An integral part of a smart and sustainable city DOI Creative Commons
Evangelos Gerasopoulos, Jennifer Bailey, Eleni Athanasopoulou

et al.

Environmental Science & Policy, Journal Year: 2022, Volume and Issue: 132, P. 296 - 307

Published: March 15, 2022

Over the course of 21st century, a century in which urbanization process previous one is ever on rise, novel smart city concept has rapidly evolved and now encompasses broader aspect sustainability. Concurrently, there been sea change domain Earth observation (EO) where scientific technological breakthroughs are accompanied by paradigm shift provision open free data. While urban EO communities share end goal achieving sustainability, cities still lack an understanding value can bring this direction, next consolidated framework for tapping full potential integrating it their operational modus operandi. The "SMart URBan Solutions air quality, disasters growth" H2020 project (SMURBS/ERA-PLANET) sits at policy crossroad, and, creating bottom-up EO-driven solutions against array environmental pressures, expanding network engaged exemplary that push state-of-the-art uptake, brings international ongoing discussion sustainable closer to home contributes discussion. This paper advocates as integral part aspires lead example. To end, documents project's impacts, ranging from grander fields evolving portfolio everyday operations, well cornerstones successful integration. Drawing parallel with utilization supporting several aspects 2030 Agenda Sustainable Development, be point reference upcoming endeavors stakeholders community alike, tread together, beyond traditional monitoring or planning, lay foundations

Language: Английский

From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors DOI Creative Commons
Michael R. Giordano, Carl Malings, Spyros Ν. Pandis

et al.

Journal of Aerosol Science, Journal Year: 2021, Volume and Issue: 158, P. 105833 - 105833

Published: July 2, 2021

Low-cost sensors for particulate matter mass (PM) enable spatially dense, high temporal resolution measurements of air quality that traditional reference monitoring cannot. PM are especially beneficial in low and middle-income countries where few, if any, grade exist areas the concentration fields pollutants have significant spatial gradients. Unfortunately, low-cost also come with a number challenges must be addressed their data products to used anything more than qualitative characterization quality. The various monitors all subject biases calibration dependencies, corrections which range from relatively straightforward (e.g. meteorology, age sensor) complex aerosol source, composition, refractive index). methods correcting calibrating these dependencies been literature likewise simple linear quadratic models machine learning algorithms. Here we review needs when trying get high-quality sensors. We present set best practices follow obtain

Language: Английский

Citations

311

Development and application of a United States-wide correction for PM<sub>2.5</sub> data collected with the PurpleAir sensor DOI Creative Commons
Karoline K. Barkjohn, B. Gantt, Andrea L. Clements

et al.

Atmospheric measurement techniques, Journal Year: 2021, Volume and Issue: 14(6), P. 4617 - 4637

Published: June 22, 2021

PurpleAir sensors, which measure particulate matter (PM), are widely used by individuals, community groups, and other organizations including state local air monitoring agencies. sensors comprise a massive global network of more than 10,000 sensors. Previous performance evaluations have typically studied limited number in small geographic areas or laboratory environments. While useful for determining sensor behavior data normalization these areas, little work has been done to understand the broad applicability results outside regions conditions. Here, operated quality agencies evaluated comparison collocated ambient regulatory instruments. In total, almost 12,000 24-hour averaged PM2.5 measurements from Federal Reference Method (FRM) Equivalent (FEM) were collected across diverse United States (U.S.), 16 states. Consistent with previous evaluations, under typical smoke impacted conditions, raw overestimate concentrations about 40% most parts U.S. A simple linear regression reduces much this bias regions, but adding relative humidity term further improves consistency biases between different regions. More complex multiplicative models did not substantially improve when tested on an independent dataset. The final correction root mean square error (RMSE) 8 μg m-3 3 average FRM FEM concentration 9 m-3. This equation, along proposed cleaning criteria, applied AirNow Fire Smoke Map (fire.airnow.gov) potential be successfully public health applications.

Language: Английский

Citations

229

Establishing A Sustainable Low-Cost Air Quality Monitoring Setup: A Survey of the State-of-the-Art DOI Creative Commons
M V Narayana, Devendra Jalihal,

S. M. Shiva Nagendra

et al.

Sensors, Journal Year: 2022, Volume and Issue: 22(1), P. 394 - 394

Published: Jan. 5, 2022

Low-cost sensors (LCS) are becoming popular for air quality monitoring (AQM). They promise high spatial and temporal resolutions at low-cost. In addition, citizen science applications such as personal exposure can be implemented effortlessly. However, the reliability of data is questionable due to various error sources involved in LCS measurement. Furthermore, sensor performance drift over time another issue. Hence, adoption by regulatory agencies still evolving. Several studies have been conducted improve low-cost sensors. This article summarizes existing on state-of-the-art AQM. We conceptualize a step procedure establish sustainable AQM setup with that produce reliable data. The selection sensors, calibration evaluation, hardware setup, evaluation metrics inferences, end user-specific stages LCS-based we propose. present critical analysis every obtain from Finally, conclude this study future scope availability

Language: Английский

Citations

75

Apportionment of black and brown carbon spectral absorption sources in the urban environment of Athens, Greece, during winter DOI
Dimitris G. Kaskaoutis, Georgios Grivas, Iasonas Stavroulas

et al.

The Science of The Total Environment, Journal Year: 2021, Volume and Issue: 801, P. 149739 - 149739

Published: Aug. 20, 2021

Language: Английский

Citations

70

Characterizing outdoor infiltration and indoor contribution of PM2.5 with citizen-based low-cost monitoring data DOI Creative Commons
Jianzhao Bi, Lance Wallace, Jeremy A. Sarnat

et al.

Environmental Pollution, Journal Year: 2021, Volume and Issue: 276, P. 116763 - 116763

Published: Feb. 17, 2021

Language: Английский

Citations

64

Correction and Accuracy of PurpleAir PM2.5 Measurements for Extreme Wildfire Smoke DOI Creative Commons
Karoline K. Barkjohn, Amara L. Holder, Samuel G. Frederick

et al.

Sensors, Journal Year: 2022, Volume and Issue: 22(24), P. 9669 - 9669

Published: Dec. 10, 2022

PurpleAir particulate matter (PM) sensors are increasingly used in the United States and other countries for real-time air quality information, particularly during wildfire smoke episodes. Uncorrected data can be biased may exhibit a nonlinear response at extreme concentrations (>300 µg/m3). This bias nonlinearity result disagreement with traditional ambient monitoring network, leading to public’s confusion These must evaluated smoke-impacted times then corrected bias, ensure that accurate reported. The nearby public sensor monitor pairs were identified summer of 2020 supplement from collocated develop an extended U.S.-wide correction high concentrations. We several schemes identify optimal correction, using previously developed up 300 µg/m3, transitioning quadradic fit above 400 µg/m3. reduces each index (AQI) breakpoint; most collocations studied met Environmental Protection Agency’s (EPA) performance targets (twelve thirteen EPA’s targets) some sites (5 out 15 terms 1-h averages). also improve comparability regulatory-grade monitors when they collectively analyzed or shown together on information websites; methods this paper correct future air-sensor types. network is already filling spatial temporal gaps regulatory providing valuable air-quality

Language: Английский

Citations

51

Impacts of severe residential wood burning on atmospheric processing, water-soluble organic aerosol and light absorption, in an inland city of Southeastern Europe DOI
Dimitris G. Kaskaoutis, Georgios Grivas,

Konstantina Oikonomou

et al.

Atmospheric Environment, Journal Year: 2022, Volume and Issue: 280, P. 119139 - 119139

Published: May 2, 2022

Language: Английский

Citations

45

Characterization of Ambient Air Quality in Selected Urban Areas in Uganda Using Low-Cost Sensing and Measurement Technologies DOI
Deo Okure,

Joel Ssematimba,

Richard Sserunjogi

et al.

Environmental Science & Technology, Journal Year: 2022, Volume and Issue: 56(6), P. 3324 - 3339

Published: Feb. 11, 2022

Air pollution is prevalent in cities and urban centers developing countries including sub-Saharan Africa, but ground monitoring data on local remain inadequate, hindering effective mitigation. We employed low-cost sensing measurement technologies to quantify levels based particulate matter (PM2.5), NO2, O3 over a 6 month period for selected three of the four macroregions Uganda. PM2.5 diurnal profiles exhibited consistent patterns across all locations with higher manifesting from 18:00 00:00 06:00 09:00; while periods 05:00 09:00 17:00 had lowest levels. Daily varied widely between 34 107 μg/m3 7 day period, well within unhealthy (55.5–150.4 μg/m3) short-term exposure. The inconsistent daily trend are instructive multiple pollutant assessment aid specific policy initiatives. results also show inverse relations seasonal precipitation, that is, R (correlation coefficient) = −0.93 −0.62 Kampala Wakiso, −0.49 −0.44 Eastern region, −0.65 −0.96 Western region. NO2 monthly concentrations replicated spatial levels, whereas probably due retention time less-urbanized environments. Both correlated positively resident population. Our findings significant spatiotemporal variations exceedances health guidelines by about 4–6 times most study (with two exceptions) longer-term This paper demonstrably highlights practicability potential approaches air quality monitoring, strong prospects citizen science. provides novel information regarding needed improve control strategies reducing exposures.

Language: Английский

Citations

39

A Review of Literature on the Usage of Low-Cost Sensors to Measure Particulate Matter DOI Creative Commons
Amit U. Raysoni,

Sai Deepak Pinakana,

Esmeralda Mendez

et al.

Earth, Journal Year: 2023, Volume and Issue: 4(1), P. 168 - 186

Published: March 14, 2023

With advances in technological sciences, individuals can utilize low-cost air monitoring sensors to record quality at homes, schools, and businesses. Air data collected from LCSs are publicly accessible, informing the community of around them. It is important measure local regional particulate matter (PM) concentrations keep public involved, especially those with specific health concerns, such as asthma, wheezing, seasonal allergies. The number studies involving use evaluate PM levels increasing more manufacturers producing ‘easy use’ targeting public. goal this review understand incorporate findings using analyze various sizes, i.e., PM1, PM2.5, PM4, PM10. This integrates analyses 51 different 14 countries, including U.S. indicate spatial heterogeneity across a region. Some sensor mentioned these include Plantower, AQMesh, Alpha-sense, PurpleAir, E-MOTEs, Shinyei. emphasizes importance field its potential inform about their exposure burden, aid state federal decision makers formulating policies for mitigating effects pollution any urban or rural setting.

Language: Английский

Citations

28

Vaping, Environmental Toxicants Exposure, and Lung Cancer Risk DOI Open Access
Shaimaa A. Shehata, Eman A. Toraih, Ezzat A. Ismail

et al.

Cancers, Journal Year: 2023, Volume and Issue: 15(18), P. 4525 - 4525

Published: Sept. 12, 2023

Lung cancer (LC) is the second-most prevalent tumor worldwide. According to most recent GLOBOCAN data, over 2.2 million LC cases were reported in 2020, with an estimated new death incident of 1,796,144 lung cases. Genetic, lifestyle, and environmental exposure play important role as risk factors for LC. E-cigarette, or vaping, products (EVPs) use has been dramatically increasing world-wide. There growing concern that EVPs consumption may increase because contain several proven carcinogenic compounds. However, relationship between not well established. E-cigarette contains nicotine derivatives (e.g., nitrosnornicotine, nitrosamine ketone), heavy metals (including organometal compounds), polycyclic aromatic hydrocarbons, flavorings (aldehydes complex organics). Several toxicants have contribute Proven plausible carcinogens could be physical (ionizing non-ionizing radiation), chemicals (such asbestos, formaldehyde, dioxins), cobalt, arsenic, cadmium, chromium, nickel). Air pollution, especially particulate matter (PM) emitted from vehicles industrial exhausts, linked Although extensive prevention policies smoking reduction strategies adopted globally, dangers remain. Combined, both toxic exposures demonstrate significant synergistic oncogenicity. This review aims analyze current publications on importance pathogenesis

Language: Английский

Citations

28