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Application of geospatial technology for the land use/land cover change assessment and future change predictions using CA Markov chain model
The study of changes in land use and land cover (LULC) is helpful in the understanding of change and management of environmental sustainability. As a...
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A novel grey power-Markov model for the prediction of China’s electricity consumption
Forecasting the electricity consumption has always played an important role in the management of power system management, which requires higher...
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Variation and multi-time series prediction of total hardness in groundwater of the Guanzhong Plain (China) using grey Markov model
Total hardness (TH) is an important index representing the water suitability for domestic purpose. TH is represented mainly by Ca 2+ and Mg 2+ which...
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Analysis of urban sprawl dynamics using machine learning, CA-Markov chain, and the Shannon entropy model: a case study in Mbombela City, South Africa
Over half of the world’s population resides in urban areas. We anticipate that this pattern will become more evident, notably in South Africa....
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Does financial institutions assure financial support in a digital economy for energy transition? Empirical evidences from Markov chain and DEA technique
Enhancing the energy transition of the Chinese economy toward digitalization gained high importance in realizing SDG-7 and SDG-17. For this, the role...
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Groundwater contamination source identification using improved differential evolution Markov chain algorithm
The groundwater contamination source identification (GCSI) can provide important bases for the design of pollution remediation plans. The Bayesian...
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Dominant transition probability: combining CA-Markov model to simulate land use change
Land use change models have been widely used to predict the changes in the future and provide different scenarios under different policies. However,...
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Identification of pollution sources in rivers using a hydrodynamic diffusion wave model and improved Bayesian-Markov chain Monte Carlo algorithm
Water quality restoration in rivers requires identification of the locations and discharges of pollution sources, and a reliable mathematical model...
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Multi-phase hybrid bidirectional deep learning model integrated with Markov chain Monte Carlo bivariate copulas function for streamflow prediction
In recent years, deep learning (DL) approaches have been proven effective in addressing high nonlinear relationships within complex systems. Although...
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Non-parametric generation of multivariate cross-correlated random fields directly from sparse measurements using Bayesian compressive sensing and Markov chain Monte Carlo simulation
Simulation of multivariate cross-correlated random field samples (RFSs) is often required in reliability analysis of engineering structures....
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Cracking propagation in expansive soils under desiccation and stabilization planning using Bayesian inference and Markov decision chains
Desiccation cracking endangers the stability of expansive soils subjected to cyclic moisture variations. In the current research, prominent cracking...
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Socio-economic impact assessment of environmental degradation in Pakistan: fresh evidence from the Markov switching equilibrium correction model
Environmental degradation is a severe problem for all nations, especially for develo** ones like Pakistan. For analysis purpose, this study...
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New Application of Fuzzy Markov Chain Modeling for Air Pollution Index Estimation
Air pollution is a problem faced by most countries across the globe. The modeling and evaluation of the probabilistic behavior of air pollution are...
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Upscaling bimolecular reactive transport in highly heterogeneous porous media with the LAgrangian Transport Eulerian Reaction Spatial (LATERS) Markov model
The LAgrangian Transport Eulerian Reaction Spatial (LATERS) Markov model was developed to predict upscaled bimolecular reactive transport in a flow...
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The impact of coal combustion, nitrous oxide emissions, and traffic emissions on COVID-19 cases: a Markov-switching approach
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spread to more than 200 countries with a current case fatality ratio (CFR) of more...
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An integrated approach of logistic-MCE-CA-Markov to predict the land use structure and their micro-spatial characteristics analysis in Wuhan metropolitan area, Central China
As human interference with the natural environment accelerates, land use has undergone great changes. However, to realize rational land development...
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A multi-state Markov chain model to assess drought risks in rainfed agriculture: a case study in the Nineveh Plains of Northern Iraq
The occurrence of prolonged dry spells and the shortage of precipitation are two different hazardous factors affecting rainfed agriculture. This...
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Circuit theory-based ecological security pattern could promote ecological protection in the Heihe River Basin of China
Building ecological security patterns is essential to maintain regional ecological security and achieve sustainable development in the inland river...
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Evaluating the reliability of time series land cover maps by exploiting the hidden Markov model
Time series land cover maps are important materials for the work related to land use and land cover change. Satellite remote sensing images prove...
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Multi-Objective Sequential Forest Management Under Risk Using a Markov Decision Process-Pareto Frontier Approach
Forests play an important role in many different cycles (carbon sink, biodiversity, timber) and, consequently, in regulating the global climate...
