[HTML][HTML] Impacts of agriculture on PM10 pollution and human health in the Lombardy region in Italy
Air pollution is one of the main environmental health concerns globally, with particulate
matter (PM) as the primary threat. While many policies address emissions from transport and …
matter (PM) as the primary threat. While many policies address emissions from transport and …
[HTML][HTML] Scenario analysis of livestock-related PM2. 5 pollution based on a new heteroskedastic spatiotemporal model
The air in the Lombardy Plain, Italy, is one of the most polluted in Europe due to limited
atmosphere circulation and high emission levels. There is broad scientific consensus that …
atmosphere circulation and high emission levels. There is broad scientific consensus that …
Inequality and concentration in farmland production and size: regional analysis for the European Union from 2010 to 2020
S Boccaletti, P Maranzano, M Viegas - arxiv preprint arxiv:2409.00111, 2024 - arxiv.org
According to Eurostat estimates, the overall number of farms in Europe declined of about 3
million units between 2010 and 2020. Parallel, the agricultural standard output increased …
million units between 2010 and 2020. Parallel, the agricultural standard output increased …
[HTML][HTML] A dynamic spatiotemporal stochastic volatility model with an application to environmental risks
A dynamic spatiotemporal stochastic volatility (SV) model is introduced, incorporating
explicit terms accounting for spatial, temporal, and spatiotemporal spillover effects …
explicit terms accounting for spatial, temporal, and spatiotemporal spillover effects …
Exploring Spatial–Temporal Patterns of Air Pollution Concentration and Their Relationship with Land Use
Understanding the spatial–temporal patterns of air pollution is crucial for mitigation
strategies, a task fostered nowadays by the generation of continuous concentration maps by …
strategies, a task fostered nowadays by the generation of continuous concentration maps by …
Transformer models for Land Cover Classification with Satellite Image Time Series
In this paper we address the task of pixel-wise land cover (LC) classification using satellite
image time series (SITS). For that purpose, we use a supervised deep learning model and …
image time series (SITS). For that purpose, we use a supervised deep learning model and …
A modified machine learning algorithm for multi-collinearity environmental data
H Tian, L Huang, S Hu, W Wu - Environmental and Ecological Statistics, 2024 - Springer
Air pollution is defined as an adverse event that negatively affects ecosystems and standard
conditions necessary for human survival and progress, manifested by certain substances in …
conditions necessary for human survival and progress, manifested by certain substances in …
To what extent airborne particulate matters are influenced by ammonia and nitrogen oxides?
A Fassò - Advanced Statistical Methods in Process Monitoring …, 2024 - Springer
Intensive farming is known to significantly impact air quality, particularly fine particulate
matter (PM 2.5). Understanding in detail their relation is important for scientific reasons and …
matter (PM 2.5). Understanding in detail their relation is important for scientific reasons and …
S-SIRUS: an explainability algorithm for spatial regression Random Forest
Random Forest (RF) is a widely used machine learning algorithm known for its flexibility,
user-friendliness, and high predictive performance across various domains. However, it is …
user-friendliness, and high predictive performance across various domains. However, it is …
[HTML][HTML] Ankara'da Partikül Madde (PM10) ve Kükürt Dioksit (SO2) Konsantrasyonlarının İklim Parametreleri İle Mekânsal-Zamansal Analizi
Türkiye'de hava kirliliği, özellikle büyük şehirlerde, nüfus artışı, plansız kentleşme, sanayi ve
enerji tesislerindeki artış nedeniyle ciddi bir sorun haline gelmiştir. Partikül Madde (PM10) …
enerji tesislerindeki artış nedeniyle ciddi bir sorun haline gelmiştir. Partikül Madde (PM10) …