[PDF][PDF] Metal hyperaccumulation in plants: a review focusing on phytoremediation technology

H Sarma - Journal of Environmental Science and Technology, 2011 - researchgate.net
A ISTRA ("|" Metal hyperaccumulation is a characteristic present in over 500 plant species
and approximately in 0.2% of all angiosperms. Hyperaccumulators are model plants for …

Statistical Modeling Approaches for PM10 Prediction in Urban Areas; A Review of 21st-Century Studies

H Taheri Shahraiyni, S Sodoudi - Atmosphere, 2016 - mdpi.com
PM10 prediction has attracted special legislative and scientific attention due to its harmful
effects on human health. Statistical techniques have the potential for high-accuracy PM10 …

Indoor air quality improvement in COVID-19 pandemic

N Agarwal, CS Meena, BP Raj, L Saini, A Kumar… - Sustainable Cities and …, 2021 - Elsevier
Introduction The advent of COVID-19 has impinged millions of people. The increased
concern of the virus spread in confined spaces due to meteorological factors has …

Deep learning architecture for air quality predictions

X Li, L Peng, Y Hu, J Shao, T Chi - Environmental Science and Pollution …, 2016 - Springer
With the rapid development of urbanization and industrialization, many developing countries
are suffering from heavy air pollution. Governments and citizens have expressed increasing …

Deepairnet: Applying recurrent networks for air quality prediction

V Athira, P Geetha, R Vinayakumar… - Procedia computer science, 2018 - Elsevier
With the quick advancement of urbanization and industrialization, air pollution has become a
serious issue in developing countries. Governments and natives have raised their …

[图书][B] Bayesian methods for structural dynamics and civil engineering

KV Yuen - 2010 - books.google.com
Bayesian methods are a powerful tool in many areas of science and engineering, especially
statistical physics, medical sciences, electrical engineering, and information sciences. They …

Daily air quality index forecasting with hybrid models: A case in China

S Zhu, X Lian, H Liu, J Hu, Y Wang, J Che - Environmental pollution, 2017 - Elsevier
Air quality is closely related to quality of life. Air pollution forecasting plays a vital role in air
pollution warnings and controlling. However, it is difficult to attain accurate forecasts for air …

A hybrid ARIMA and artificial neural networks model to forecast particulate matter in urban areas: The case of Temuco, Chile

LA Díaz-Robles, JC Ortega, JS Fu, GD Reed… - Atmospheric …, 2008 - Elsevier
Air quality time series consists of complex linear and non-linear patterns and are difficult to
forecast. Box–Jenkins Time Series (ARIMA) and multilinear regression (MLR) models have …

A hybrid model based on convolutional neural networks and long short-term memory for ozone concentration prediction

U Pak, C Kim, U Ryu, K Sok, S Pak - Air Quality, Atmosphere & Health, 2018 - Springer
Ozone, which is one of the most crucial pollutants regarding air quality and climate change,
negatively impacts on human health, climate, and vegetation; therefore, the prediction of …

Modeling inter-station relationships with attentive temporal graph convolutional network for air quality prediction

C Wang, Y Zhu, T Zang, H Liu, J Yu - … conference on web search and data …, 2021 - dl.acm.org
Air pollution is an important environmental issue of increasing concern, which impacts
human health. Accurate air quality prediction is crucial for avoiding people suffering from …