An operational urban air quality model ENFUSER, based on dispersion modelling and data assimilation

Johansson, Lasse; Karppinen, Ari; Kurppa, Mona; Kousa, Anu; Niemi, Jarkko V.; Kukkonen, Jaakko

doi:10.1016/j.envsoft.2022.105460

Cited by 17 publications

(5 citation statements)

References 45 publications

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“…The Finnish Meteorological Institute (FMI) collects the raw data for the index at an hourly level through its monitoring network. The raw data is then coupled with the FMI-ENFUSER air quality model, which fuses historical measurement data, meteorological data, and GIS data on the environment to accurately represent air quality variation over the urban space and at fine scale [ 81 ].…”

Section: Methodsmentioning

confidence: 99%

Cyclists’ exposure to air pollution, noise, and greenery: a population-level spatial analysis approach

et al. 2023

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Urban travel exposes people to a range of environmental qualities with significant health and wellbeing impacts. Nevertheless, the understanding of travel-related environmental exposure has remained limited. Here, we present a novel approach for population-level assessment of multiple environmental exposure for active travel. It enables analyses of (1) urban scale exposure variation, (2) alternative routes’ potential to improve exposure levels per exposure type, and (3) by combining multiple exposures. We demonstrate the approach’s feasibility by analysing cyclists’ air pollution, noise, and greenery exposure in Helsinki, Finland. We apply an in-house developed route-planning and exposure assessment software and integrate to the analysis 3.1 million cycling trips from the local bike-sharing system. We show that especially noise exposure from cycling exceeds healthy thresholds, but that cyclists can influence their exposure by route choice. The proposed approach enables planners and individual citizens to identify (un)healthy travel environments from the exposure perspective, and to compare areas in respect to how well their environmental quality supports active travel. Transferable open tools and data further support the implementation of the approach in other cities.

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Section: Methodsmentioning

confidence: 99%

Cyclists’ exposure to air pollution, noise, and greenery: a population-level spatial analysis approach

et al. 2023

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“…We used the k-means clustering algorithm to cluster a larger number of meshes to form several clusters, i.e., regions of different importance, and obtained the importance ω ci (0 < i < C) of each region and the number A ω ci of meshes in each region. According to the different importance of the regions formed after clustering, the corresponding minimum coverage, i.e., the coverage threshold P ω ci is introduced, and its calculation formula is as in Equation (7).…”

Section: Regional Importance and Coverage Thresholdmentioning

confidence: 99%

“…The formation of chemical hazard areas and the deployment of monitoring points are related to the content of atmospheric dispersion [6]. According to the scale and size of atmospheric dispersion research, it is generally divided into three categories: micro-scale research ranges from less than one meter to hundreds of meters; small-scale typically ranges from one to several kilometers; and the mesoscale usually ranges from tens of kilometers [7]. There are many ways to deploy monitoring points, and at this stage, the research on the deployment of chemical hazard monitoring points is more focused on the micro-scale and small-scale, and the larger-scale deployment problems can be considered in combination with GIS [8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

A Study on the Deployment of Mesoscale Chemical Hazard Area Monitoring Points by Combining Weighting and Fireworks Algorithms

Shi¹,

Zhang²,

Chen³

et al. 2023

Sustainability

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In order to address the problems of redundancy and waste of resources in the deployment of monitoring points in mesoscale chemical hazard areas, we propose a method for the deployment of monitoring points in mesoscale chemical hazard areas by combining weight and fireworks algorithms. Taking the mesoscale chemical hazard monitoring area as the research background, we take the probabilistic sensing model of telemetry sensor nodes as the research object, make a reasonable grid division of the mesoscale monitoring area, calculate the importance of each grid and perform clustering, utilize the diversity of the fireworks algorithm and the rapidity of the solution to solve the monitoring point deployment model and discuss the relevant factors affecting the deployment scheme. The simulation results show that the proposed algorithm can achieve the optimal coverage monitoring for monitoring areas with different importance and reduce the number of monitoring nodes and redundancy; meanwhile, the relevant factors such as the grid edge length, the number of clusters, and the average importance of monitoring areas have different degrees of influence on the complexity of the algorithm and the deployment scheme.

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“…From those previous simulations, the interest in developing a measuring network study to corroborate previous CTM representation of the Valley and start collecting data in these allocations for a future operational Data Assimilation (DA) system started such as recent cases like in [13] for the estimation of emissions in urban environments and IoT based (Wifi protocol) for suburban environments [14]. DA is a mathematical technique that reconciles the mathematical modeling representation of reality with the measurement perspective through different approaches depending on the gaussian or not gaussian error background model and observations covariance error distribution.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of a Low-Cost Air Quality Network for the Aburra Valley Surrounding Mountains

et al. 2023

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The densest network for measuring air pollutant concentrations in Colombia is in Medellin, where most sensors are located in the heavily polluted lower parts of the valley. Measuring stations in the higher elevations on the mountains surrounding the valley are not available, which limits our understanding of the valley’s pollutant dynamics and hinders the effectiveness of data assimilation studies using chemical transport models such as LOTOS-EUROS. To address this gap in measurements, we have designed a new network of low-cost sensors to be installed at altitudes above 2000 m.a.s.l. The network consists of custom-built, solar-powered, and remotely connected sensors. Locations were strategically selected using the LOTOS-EUROS model driven by diverse meteorology-simulated fields to explore the effects of the valley wind representation on the transport of pollutants. The sensors transmit collected data to internet gateways for posterior analysis. Various tests to verify the critical characteristics of the equipment, such as long-range transmission modeling and experiments with an R score of 0.96 for the best propagation model, energy power system autonomy, and sensor calibration procedures, besides case exposure to dust and water experiments, to ensure IP certifications. An inter-calibration procedure was performed to characterize the sensors against reference sensors and describe the observation error to provide acceptable ranges for the data assimilation algorithm (<10% nominal). The design, installation, testing, and implementation of this air quality network, oriented towards data assimilation over the Aburrá Valley, constitute an initial experience for the simulation capabilities toward the system’s operative capabilities. Our solution approach adds value by removing the disadvantages of low-cost devices and offers a viable solution from a developing country’s perspective, employing hardware explicitly designed for the situation.

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An operational urban air quality model ENFUSER, based on dispersion modelling and data assimilation

Cited by 17 publications

References 45 publications

Cyclists’ exposure to air pollution, noise, and greenery: a population-level spatial analysis approach

Cyclists’ exposure to air pollution, noise, and greenery: a population-level spatial analysis approach

A Study on the Deployment of Mesoscale Chemical Hazard Area Monitoring Points by Combining Weighting and Fireworks Algorithms

Design and Implementation of a Low-Cost Air Quality Network for the Aburra Valley Surrounding Mountains

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