Markov chain model development for forecasting air pollution index of Miri, Sarawak

NN Zakaria, M Othman, R Sokkalingam, H Daud… - Sustainability, 2019 - mdpi.com
A Markov chain is commonly used in stock market analysis, manpower planning, and in
many other areas because of its efficiency in predicting long run behavior. However, the Air …

Modeling the stochastic dependence of air pollution index data

Y Alyousifi, N Masseran, K Ibrahim - Stochastic environmental research …, 2018 - Springer
The air pollution index (API) is a common tool, which is often used for determining the quality
of air in the environment. In this study, a discrete-time Markov chain model is applied for …

Discrete-time Markov chain for prediction of air quality index

JC Chen, YJ Wu - Journal of Ambient Intelligence and Humanized …, 2020 - Springer
Together with water and land, air is a fundamental necessity of life. Nevertheless, the
ambient air quality is deteriorating around the world because of rapid urbanization and …

Markov chain modeling for air pollution index based on maximum a posteriori method

Y Alyousifi, K Ibrahim, W Kang, WZW Zin - Air Quality, Atmosphere & …, 2019 - Springer
Air pollution is a major environmental problem, which brings about a threat to human health
and the natural environment. Thus, determination and assessment of the level of air …

Robust empirical Bayes approach for Markov chain modeling of air pollution index

Y Alyousifi, K Ibrahim, W Kang, WZW Zin - Journal of Environmental Health …, 2021 - Springer
Air pollution is a matter of concern among the public, especially for those living in urban and
industrial areas. Markov chain modeling is often used to model the underlying dynamics of …

Microbial treatment of sulfur-contaminated industrial wastes

M Gómez-Ramírez, K Zarco-Tovar… - … Science and Health …, 2014 - Taylor & Francis
The present study evaluated the microbial removal of sulfur from a solid industrial waste in
liquid culture under laboratory conditions. The study involved the use of two bacteria …

Bayesian Information Criterion for Fitting the Optimum Order of Markov Chain Models: Methodology and Application to Air Pollution Data

Y Alyousifi, K Ibrahim, M Othamn, WZW Zin, N Vergne… - Mathematics, 2022 - mdpi.com
The analysis of air pollution behavior is becoming crucial, where information on air pollution
behavior is vital for managing air quality events. Many studies have described the stochastic …

[HTML][HTML] Projection and probability of land use change in Zoquiapan, Mexico: considerations for forest management

A Paredes-Gonzalez, AI Monterroso-Rivas… - … ciencias forestales y …, 2018 - scielo.org.mx
Introduction: The dynamics of land use and changes in vegetation cover is essential for
natural resource management. Objetive: To analyze the land use change in the micro …

Automatic Monitoring of Water Pollution from Sentinal-2 Satellite Imagery A Case Study of Mediterranean Coast, Egypt

M Farhan, M Salah, AM Basha, A Kahlil… - KSCE Journal of Civil …, 2023 - Springer
Water is the most important source among the natural sources on the earth's surface for the
health of marine and near-shore ecosystems. Assessing water pollution in coastal areas is …

Examining Air Pollution Continuity in Tehran Province using Markov Chain Model

A Yousefi Kebriya, M Nadi - Iranica Journal of Energy & Environment, 2024 - ijee.net
The Air Quality Index is a numerical tool used to quantify air pollution levels and classify
pollution severity. It plays a vital role in ensuring healthcare system stability by …