Real-Time Forecasting Method of Urban Air Quality Based on Observation Sites and Thiessen Polygons

Liu, Xuefeng; Ye, Fenxiao; Liu, Yuling; Xie, Xian'Ge; Fan, Jingjing

doi:10.21307/ijssis-2017-843

Cited by 4 publications

(3 citation statements)

References 18 publications

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“…In [15], an air quality prediction model to study the distribution of air pollution parameters measured by wireless fixed monitoring units is proposed. Thiessen polygons are constructed based on the location of the monitoring units by assigning to each point included in a Thiessen polygon the values measured by the corresponding monitoring units.…”

Section: Introductionmentioning

confidence: 99%

A GIS-Based Fuzzy Model to Detect Critical Polluted Urban Areas in Presence of Heatwave Scenarios

Cardone,

Di Martino,

Miraglia

2024

Computers

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This research presents a new method for detecting urban areas critical for the presence of air pollutants during periods of heatwaves. The proposed method uses a geospatial model based on the construction of Thiessen polygons and a fuzzy model based on assessing, starting from air quality control unit measurement data, how concentrations of air pollutants are distributed in the urban study area during periods of heatwaves and determine the most critical areas as hotspots. The proposed method represents an optimal trade-off between the accuracy of the detection of critical areas and the computational speed; the use of fuzzy techniques for assessing the intensity of concentrations of air pollutants allows evaluators to model the assessments of critical areas more naturally. The method is implemented in a GIS-based platform and has been tested in the city of Bologna, Italy. The resulting criticality maps of PM10, NO2, and PM2.5 pollutants during a heatwave period that occurred from 10 to 14 July 2023 revealed highly critical hotspots with high pollutant concentrations in densely populated areas. This framework provides a portable and easily interpretable decision support tool which allows you to evaluate which urban areas are most affected by air pollution during heatwaves, potentially posing health risks to the exposed population.

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Section: Introductionmentioning

confidence: 99%

A GIS-Based Fuzzy Model to Detect Critical Polluted Urban Areas in Presence of Heatwave Scenarios

Cardone,

Di Martino,

Miraglia

2024

Computers

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“…ere are two ways to communicate between the event provider and the event consumer, for example, request-response mode and subscription-publishing mode [8][9][10]. Based on the active and passive relationship between the event provider and consumer, the event service is correspondingly divided into active service and passive service [11].…”

Section: Introductionmentioning

confidence: 99%

A Method of the Active and Passive Event Service Based on the Sensor Web

Liu

Fan

et al. 2022

Security and Communication Networks

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The intelligent information system constructed by the sensor web can monitor all kinds of sudden abnormal events, improve the ability of event discovery and rapid disposal, and promote the development of smart city and the construction of the Internet of Things (IoT). In this paper, we consider the problem of complex integration and poor expansibility in the large-scale full-network operation and maintenance system construction and propose an active and passive event service (APES) method based on the sensor web. In the APES, a system framework with the perception layer, data service layer, event service layer, and user layer is firstly defined and constructed. Secondly, a middleware with the ability to active and passive event service (APES) is designed and implemented based on the system framework. Finally, taking abnormal weather and fire warning as examples, the performance of the proposed event service middleware is tested, respectively. Experimental results show that the proposed APES model in this paper has the advantages of high precision, stable operation, and strong practicability and solves “Information Island” and low reusability in the whole network operation and maintenance system. This is an attempt at the structural design of a similar intelligent information system.

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“…The detected NO 2 values were correlated with the area surrounding the monitoring site, in order to obtain a homogeneous polygon characterized by the same emission values. The adopted data processing methodology was the so-called Thiessen polygon method [39][40][41]. Thus, the monitoring site value is representative of the area defined by the polygon (Figure 5b).…”

mentioning

confidence: 99%

From Traditional to Electrified Urban Road Networks: The Integration of Fuzzy Analytic Hierarchy Process and GIS as a Tool to Define a Feasibility Index—An Italian Case Study

Nodari

Crispino

Toraldo

2022

WEVJ

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To achieve sustainable development in the road sector, the use of Electric Vehicles (EVs) appears as a positive response to transport emissions. Among the available technologies, dynamic charging seems to overcome the main weakness points of EVs, even if it requires that traditional roads (t-roads) be equipped with a system providing electricity for EVs. Thus, so-called electrified roads (e-roads) must be implemented into the urban road networks. Since it is not possible to electrify all roads simultaneously, and also to consider the demand needs of citizens, a selection criterion is essential. This research describes and develops a simple, self-explanatory, repeatable, and adaptable selection criterion aimed at helping city managers in prioritizing the roads of an urban network to be upgraded from t-road to e-road status. This method belongs to the so-called Multicriteria Spatial Decision Support Systems (MC-SDSS)—processes useful for solving spatial problems through the integration of multicriteria analysis (Fuzzy Analytic Hierarchy Process, F-AHP) with a geo-referenced data management and analysis tool (GIS). The developed algorithm is based on several criteria related to the infrastructure/transport, social and environmental areas. The result of the implemented method is a Feasibility Index (FI), able to prioritize the roads most eligible to be upgraded as e-roads, as also verified by its application on the urban area of Milan (Italy).

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Real-Time Forecasting Method of Urban Air Quality Based on Observation Sites and Thiessen Polygons

Cited by 4 publications

References 18 publications

A GIS-Based Fuzzy Model to Detect Critical Polluted Urban Areas in Presence of Heatwave Scenarios

A GIS-Based Fuzzy Model to Detect Critical Polluted Urban Areas in Presence of Heatwave Scenarios

A Method of the Active and Passive Event Service Based on the Sensor Web

From Traditional to Electrified Urban Road Networks: The Integration of Fuzzy Analytic Hierarchy Process and GIS as a Tool to Define a Feasibility Index—An Italian Case Study

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