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Particulate Matter (PM2.5) Concentration Forecasting through an Artificial Neural Network in Port City Environment
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.aeaoa.2019.100050openalex-snapshot
Atmospheric ship emissions in ports: A review. Correlation with data of ship traffic
inferredcites →https://doi.org/10.1016/j.aeaoa.2020.100077openalex-snapshot
Seasonality of ship emission related atmospheric pollution over coastal and open waters of the North Sea
inferredcites →https://doi.org/10.1016/j.apr.2019.09.003openalex-snapshot
Ambient PM2.5, polycyclic aromatic hydrocarbons and biomass burning tracer in Mae Sot District, western Thailand
inferredcites →https://doi.org/10.1016/j.atmosenv.2018.10.038openalex-snapshot
Temporal and spatial variability of traffic-related PM2.5 sources: Comparison of exhaust and non-exhaust emissions
inferredcites →https://doi.org/10.1016/j.envint.2020.105589openalex-snapshot
Associations of long-term exposure to ambient PM2.5 with mortality in Chinese adults: A pooled analysis of cohorts in the China-PAR project
inferredcites →https://doi.org/10.1016/j.envsoft.2021.104995openalex-snapshot
Using Machine Learning to estimate the impact of ports and cruise ship traffic on urban air quality: The case of Barcelona
inferredcites →https://doi.org/10.1016/j.ifacol.2018.11.336openalex-snapshot
Air Pollution and Specific Meteorological Conditions at the Adjacent Areas of Sea Ports
inferredcites →https://doi.org/10.1016/j.ijheh.2019.11.001openalex-snapshot
Short-term effects of ambient PM1 and PM2.5 air pollution on hospital admission for respiratory diseases: Case-crossover evidence from Shenzhen, China
inferredcites →https://doi.org/10.1016/j.marpolbul.2020.111508openalex-snapshot
Ports' technical and operational measures to reduce greenhouse gas emission and improve energy efficiency: A review
inferredcites →https://doi.org/10.1016/j.scitotenv.2018.07.322openalex-snapshot
Chemical composition and source apportionment of ambient, household, and personal exposures to PM2.5 in communities using biomass stoves in rural China
inferredcites →https://doi.org/10.1016/j.scitotenv.2018.09.250openalex-snapshot
PM2.5 source apportionment for the port city of Thessaloniki, Greece
inferredcites →https://doi.org/10.1016/j.scitotenv.2019.136023openalex-snapshot
Health effects of PM2.5 sources on children's allergic and respiratory symptoms in Fukuoka, Japan
inferredcites →https://doi.org/10.1016/j.scs.2021.102720openalex-snapshot
A deep learning approach for prediction of air quality index in a metropolitan city
inferredcites →https://doi.org/10.1016/j.trd.2015.11.007openalex-snapshot
Ship emissions and their externalities in cruise ports
inferredcites →https://doi.org/10.1016/j.trd.2020.102391openalex-snapshot
Decomposing growth in Norwegian seaport container throughput and associated air pollution
inferredcites →https://doi.org/10.1016/j.trd.2020.102479openalex-snapshot
Monitoring of air emissions in maritime ports
inferredcites →https://doi.org/10.1016/j.trpro.2020.03.059openalex-snapshot
Improvement of the sustainability of ports logistics by the development of innovative green infrastructure solutions
inferredcites →https://doi.org/10.1021/acs.estlett.8b00360openalex-snapshot
Ambient PM2.5 Reduces Global and Regional Life Expectancy
inferredcites →https://doi.org/10.1038/s41598-020-72722-zopenalex-snapshot
Investigating PM2.5 responses to other air pollutants and meteorological factors across multiple temporal scales
inferredcites →https://doi.org/10.1080/09603123.2019.1682528openalex-snapshot
Spatial analysis of the effects of PM2.5 on hypertension among the middle-aged and elderly people in China
inferredcites →https://doi.org/10.1371/journal.pmed.1003141openalex-snapshot
The association between long-term exposure to low-level PM2.5 and mortality in the state of Queensland, Australia: A modelling study with the difference-in-differences approach
inferredcites →https://doi.org/10.3390/ijerph17155406openalex-snapshot
Harbor and Intra-City Drivers of Air Pollution: Findings from a Land Use Regression Model, Durban, South Africa
inferredcites →https://doi.org/10.3390/jmse9040407openalex-snapshot
Effects of a Vessel Speed Reduction Program on Air Quality in Port Areas: Focusing on the Big Three Ports in South Korea
inferredcites →https://doi.org/10.4209/aaqr.2016.07.0296openalex-snapshot
Impact of Air Humidity Fluctuation on the Rise of PM Mass Concentration Based on the High-Resolution Monitoring Data
inferredcites →https://doi.org/10.5194/acp-18-15811-2018openalex-snapshot
Impacts of shipping emissions on PM 2.5 pollution in China
inferredcites →https://doi.org/10.5194/acp-18-4965-2018openalex-snapshot
Seasonal variation and chemical characterization of PM 2.5 in northwestern Philippines
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/ep.14355openalex-snapshot
Prediction of daily fine particulate matter ( PM2.5 ) concentration in Aksaray, Turkey: Temporal variation, meteorological dependence, and employing artificial neural network
inferred← citeshttps://doi.org/10.1016/j.envpol.2024.124053openalex-snapshot
Predicting dust pollution from dry bulk ports in coastal cities: A hybrid approach based on data decomposition and deep learning
inferred← citeshttps://doi.org/10.1016/j.trd.2023.103935openalex-snapshot
Traffic volume and road network structure: Revealing transportation-related factors on PM2.5 concentrations
inferred← citeshttps://doi.org/10.1016/j.trd.2024.104257openalex-snapshot
Integrated strategies for road transportation-related multi-pollutant control: A cross-departmental policy mix
inferred← citeshttps://doi.org/10.3390/atmos13111780openalex-snapshot
Effects of Weather and Anthropogenic Precursors on Ground-Level Ozone Concentrations in Malaysian Cities
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