The use of random forests in modelling short-term air pollution effects based on traffic and meteorological conditions: A case study in Wrocław
JA Kamińska - Journal of environmental management, 2018 - Elsevier
Random forests, an advanced data mining method, are used here to model the regression
relationships between concentrations of the pollutants NO 2, NO x and PM 2.5, and nine …
relationships between concentrations of the pollutants NO 2, NO x and PM 2.5, and nine …
Quantifying O3 Impacts in Urban Areas Due to Wildfires Using a Generalized Additive Model
Wildfires emit O3 precursors but there are large variations in emissions, plume heights, and
photochemical processing. These factors make it challenging to model O3 production from …
photochemical processing. These factors make it challenging to model O3 production from …
Changes in air quality associated with mobility trends and meteorological conditions during COVID-19 lockdown in Northern England, UK
The COVID-19 pandemic triggered catastrophic impacts on human life, but at the same time
demonstrated positive impacts on air quality. In this study, the impact of COVID-19 lockdown …
demonstrated positive impacts on air quality. In this study, the impact of COVID-19 lockdown …
Particulate matter concentrations over South Korea: Impact of meteorology and other pollutants
S Allabakash, S Lim, KS Chong, TJ Yamada - Remote Sensing, 2022 - mdpi.com
Air pollution is a serious challenge in South Korea and worldwide, and negatively impacts
human health and mortality rates. To assess air quality and the spatiotemporal …
human health and mortality rates. To assess air quality and the spatiotemporal …
Development of regional flood frequency analysis techniques using generalized additive models for Australia
Estimation of flood quantiles in ungauged catchments is a common problem in hydrology.
For this, the log-linear regression model is widely adopted. However, in many cases, a …
For this, the log-linear regression model is widely adopted. However, in many cases, a …
Characterizing spatiotemporal distributions of black carbon and PM2. 5 at a toll station: Observations on manual and electronic toll collection lanes
Toll stations are traffic-related pollution hotspots, but the contribution of various factors to
pollutant distributions has not been clearly recognized. This study conducted a field …
pollutant distributions has not been clearly recognized. This study conducted a field …
[HTML][HTML] Regional frequency analysis at ungauged sites with the generalized additive model
The log-linear regression model is one of the most commonly used models to estimate flood
quantiles at ungauged sites within the regional frequency analysis (RFA) framework …
quantiles at ungauged sites within the regional frequency analysis (RFA) framework …
Freight production of agricultural commodities in India using multiple linear regression and generalized additive modelling
S Dhulipala, GR Patil - Transport Policy, 2020 - Elsevier
Freight transportation has a key role in the economic competitiveness of any nation. India is
one of the fastest-growing nations in the world; its agricultural sector plays a vital role in …
one of the fastest-growing nations in the world; its agricultural sector plays a vital role in …
Prediction of Potentially High PM2.5 Concentrations in Chengdu, China
Daily exposure to high ambient PM2. 5 increases the mortality rate and contributes
significantly to the burden of disease. In basin-situated cities with high local emissions of air …
significantly to the burden of disease. In basin-situated cities with high local emissions of air …
Spatiotemporal modelling of concentrations in Lombardy (Italy): a comparative study
This study presents a comparative analysis of three predictive models with an increasing
degree of flexibility: hidden dynamic geostatistical models (HDGM), generalised additive …
degree of flexibility: hidden dynamic geostatistical models (HDGM), generalised additive …