A methodological framework for estimating ambient PM_(2.5)particulate matter concentrations in the UK  

作　　者：David Galán-Madruga Parya Broomandi Alfrendo Satyanaga Ali Jahanbakhshi Mehdi Bagheri Aram Fathian Rasoul Sarvestan J.Cárdenas-Escudero J.O.Cáceres Prashant Kumar Jong Ryeol Kim 

机构地区：[1]Department of Atmospheric Pollution,National Centre for Environment Health,Health Institute Carlos III.Ctra.Majadahonda a Pozuelo km 2.2,Madrid 28220,Spain [2]Department of Civil and Environmental Engineering,School of Engineering and Digital Sciences,Nazarbayev University,Kabanbay Batyr Ave.53,Astana 010000,Kazakhstan [3]Department of Electrical and Computer Engineering,School of Engineering and Digital Sciences,Nazarbayev University,Kabanbay Batyr Ave.53,Astana 010000,Kazakhstan [4]School of Architecture,Building and Civil Engineering,Loughborough University,Leicestershire LE113TU,United Kingdom [5]Neotectonics and Natural Hazards Institute,RWTH Aachen University,Aachen 52056,Germany [6]UNESCO Chair on Coastal Geo-Hazard Analysis,Research Institute for Earth Sciences,Tehran 13185-1494,Iran [7]Water,Sediment,Hazards,and Earth-surface Dynamics(waterSHED)Lab,Department of Geoscience,University of Calgary,Calgary Alberta T2N 1N4,Canada [8]Department of Climatology,Faculty of Geography and Environmental Sciences,Hakim Sabzevari University,Sabzevar 9617976487,Iran [9]Laser Chemistry Research Group,Department of Analytical Chemistry,Faculty of Chemistry,Complutense University of Madrid,Plaza de Ciencias 1,Madrid 28040,Spain [10]Analytical Chemistry Department,FCNET,University of Panama,University City,University Mail,Panama 4,Panama City 3366,Panama [11]Global Centre for Clean Air Research(GCARE),School of Sustainability,Civil and Environmental Engineering,Faculty of Engineering and Physical Sciences,University of Surrey,Guildford GU27XH,United Kingdom [12]Institute for Sustainability,University of Surrey,Guildford GU27XH,United Kingdom

出　　处：《Journal of Environmental Sciences》2025年第4期676-691,共16页环境科学学报(英文版)

基　　金：supported by the Collaborative Research Project(CRP)grant,Nazarbayev University(Nos.11022021CRP1512,211123CRP1604);PK acknowledges the support from the NERC-funded projects ASAP-Delhi(NE/P016510/1),GreenCities(NE/P016510/1);RECLAIM Network Plus(EP/W034034/1).

摘　　要：Scientific evidence sustains PM_(2.5)particles’inhalation may generate harmful impacts on human beings’health;therefore,theirmonitoring in ambient air is of paramount relevance in terms of public health.Due to the limited number of fixed stations within the air qualitymonitoring networks,development ofmethodological frameworks tomodel ambient air PM_(2.5)particles is primordial to providing additional information on PM_(2.5)exposure and its trends.In this sense,this work aims to offer a global easily-applicable tool to estimate ambient air PM_(2.5)as a function of meteorological conditions using a multivariate analysis.Daily PM_(2.5)data measured by 84 fixed monitoring stations and meteorological data from ERA5(ECMWF Reanalysis v5)reanalysis daily based data between 2000 and 2021 across the United Kingdom were attended to develop the suggested approach.Data from January 2017 to December 2020 were employed to build amathematical expression that related the dependent variable(PM_(2.5))to predictor ones(sea-level pressure,planetary boundary layer height,temperature,precipitation,wind direction and speed),while 2021 data tested the model.Evaluation indicators evidenced a good performance of model(maximum values of RMSE,MAE and MAPE:1.80μg/m^(3),3.24μg/m^(3),and 20.63%,respectively),compiling the current legislation’s requirements for modelling ambient air PM_(2.5)concentrations.A retrospective analysis of meteorological features allowed estimating ambient air PM_(2.5)concentrations from 2000 to 2021.The highest PM_(2.5)concentrations relapsed in theMid-and Southlands,while Northlands sustained the lowest concentrations.

关 键 词：Air quality PM_(2.5)particles Meteorological variables Prediction model Long-term trend 

分 类 号：X84[环境科学与工程—环境工程]