Autoregressive models in environmental forecasting time series: a theoretical and application review
Though globalization, industrialization, and urbanization have escalated the economic
growth of nations, these activities have played foul on the environment. Better understanding …
growth of nations, these activities have played foul on the environment. Better understanding …
ARIMA forecasting of ambient air pollutants (O3, NO, NO2 and CO)
In the present study, a stationary stochastic ARMA/ARIMA [Autoregressive Moving
(Integrated) Average] modelling approach has been adapted to forecast daily mean ambient …
(Integrated) Average] modelling approach has been adapted to forecast daily mean ambient …
Deep-AIR: A hybrid CNN-LSTM framework for fine-grained air pollution estimation and forecast in metropolitan cities
Air pollution presents a serious health challenge in urban metropolises. While accurately
monitoring and forecasting air pollution are highly crucial, existing data-driven models have …
monitoring and forecasting air pollution are highly crucial, existing data-driven models have …
Estimation of the change in lake water level by artificial intelligence methods
In this study, five different artificial intelligence methods, including Artificial Neural Networks
based on Particle Swarm Optimization (PSO-ANN), Support Vector Regression (SVR), Multi …
based on Particle Swarm Optimization (PSO-ANN), Support Vector Regression (SVR), Multi …
Time series forecasting of air quality based on regional numerical modeling in Hong Kong
Based on prevailing numerical forecasting models (Community Multiscale Air Quality
[CMAQ] model, Comprehensive Air Quality Model with Extensions, and Nested Air Quality …
[CMAQ] model, Comprehensive Air Quality Model with Extensions, and Nested Air Quality …
Forecasting air quality of delhi using arima model
Air quality is a major issue that has been affecting the human health, flora, fauna and
ecosystems since long. Vehicular pollution, burning of plastics, demolition and construction …
ecosystems since long. Vehicular pollution, burning of plastics, demolition and construction …
An overview on patterns, monitoring, and modelling of the urban climate changes
The various notions of urbanization, indicators of the urban climate, and air quality are
described in this article. Urban air quality management and haphazard planning have an …
described in this article. Urban air quality management and haphazard planning have an …
Forecasting automobile petrol demand in Australia: An evaluation of empirical models
Transport fuel consumption and its determinants have received a great deal of attention
since the early 1970s. In the literature, different types of modelling methods have been used …
since the early 1970s. In the literature, different types of modelling methods have been used …
Using geosocial search for urban air pollution monitoring
Abstract While Twitter and other Online Social Networks (OSNs) or microblogs are
considered as a source of information for breaking news or uproarious and unexpected …
considered as a source of information for breaking news or uproarious and unexpected …
Predicting hourly ozone concentrations using wavelets and ARIMA models
L Salazar, O Nicolis, F Ruggeri, J Kisel'ák… - Neural Computing and …, 2019 - Springer
In recent years, air pollution has been a major concern for its implications on human health.
Specifically, ozone (O _ 3 O 3) pollution is causing common respiratory diseases. In this …
Specifically, ozone (O _ 3 O 3) pollution is causing common respiratory diseases. In this …