Machine learning in environmental research: common pitfalls and best practices
Machine learning (ML) is increasingly used in environmental research to process large data
sets and decipher complex relationships between system variables. However, due to the …
sets and decipher complex relationships between system variables. However, due to the …
[HTML][HTML] Impacts of microplastics and urbanization on soil health: An urgent concern for sustainable development
This review offers a novel perspective by exploring the combined effects of microplastics
(MPs) and urbanization on soil health, differing from conventional studies that focus solely …
(MPs) and urbanization on soil health, differing from conventional studies that focus solely …
The effect of urbanization on environmental pollution in rapidly develo** urban agglomerations
L Liang, Z Wang, J Li - Journal of cleaner production, 2019 - Elsevier
China is experiencing a rapid urbanization that is unprecedented in human history. This has
significantly improved the well-being of residents, but has also caused serious …
significantly improved the well-being of residents, but has also caused serious …
Mortality risk attributable to wildfire-related PM2· 5 pollution: a global time series study in 749 locations
Background Many regions of the world are now facing more frequent and unprecedentedly
large wildfires. However, the association between wildfire-related PM 2· 5 and mortality has …
large wildfires. However, the association between wildfire-related PM 2· 5 and mortality has …
[HTML][HTML] The ChinaHighPM10 dataset: generation, validation, and spatiotemporal variations from 2015 to 2019 across China
Respirable particles with aerodynamic diameters≤ 10 µm (PM 10) have important impacts
on the atmospheric environment and human health. Available PM 10 datasets have coarse …
on the atmospheric environment and human health. Available PM 10 datasets have coarse …
[HTML][HTML] Exposure to air pollution is associated with an increased risk of metabolic dysfunction-associated fatty liver disease
Background & Aims Accumulating animal studies have demonstrated the harmful
contribution of ambient air pollution (AP) to metabolic dysfunction-associated fatty liver …
contribution of ambient air pollution (AP) to metabolic dysfunction-associated fatty liver …
[HTML][HTML] Estimation of daily PM10 and PM2. 5 concentrations in Italy, 2013–2015, using a spatiotemporal land-use random-forest model
M Stafoggia, T Bellander, S Bucci, M Davoli… - Environment …, 2019 - Elsevier
Particulate matter (PM) air pollution is one of the major causes of death worldwide, with
demonstrated adverse effects from both short-term and long-term exposure. Most of the …
demonstrated adverse effects from both short-term and long-term exposure. Most of the …
Spatio-temporal estimation of the daily cases of COVID-19 in worldwide using random forest machine learning algorithm
CM Yeşilkanat - Chaos, Solitons & Fractals, 2020 - Elsevier
Novel Coronavirus pandemic, which negatively affected public health in social,
psychological and economical terms, spread to the whole world in a short period of 6 …
psychological and economical terms, spread to the whole world in a short period of 6 …
Is resource abundance a curse for green economic growth? Evidence from develo** countries
S Wang, X Wang, B Lu - Resources Policy, 2022 - Elsevier
Green economic growth emphasizes the coordinated development of economy and
environment under the constraints of resource-carrying and environmental capacities. Many …
environment under the constraints of resource-carrying and environmental capacities. Many …
[HTML][HTML] Construction of a virtual PM2. 5 observation network in China based on high-density surface meteorological observations using the Extreme Gradient …
With increasing public concerns on air pollution in China, there is a demand for long-term
continuous PM 2.5 datasets. However, it was not until the end of 2012 that China …
continuous PM 2.5 datasets. However, it was not until the end of 2012 that China …