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Prediction of meteorological drought and standardized precipitation index based on the random forest (RF), random tree (RT), and Gaussian process regression (GPR) models
Agriculture, meteorological, and hydrological drought is a natural hazard which affects ecosystems in the central India of Maharashtra state. Due to...
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Optimization of leaf area index measurement method and correction of green plot ratio formula based on regional plant characteristics—a study in Chongqing, China
The quantification of green space green plot ratio (GPR) is mostly based on estimation formulas, and the leaf area index (LAI) estimation values in...
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Ground-Penetrating Radar Survey of Residual Ground Pollution by Acid Tars
In this chapter, we mapped the residual pollution near the southern Inčukalns Acid Tar Lagoon (ATL) in Latvia, Northern Europe using...
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Geopolitical risk and green outward foreign direct investment location choice: evidence from Chinese listed companies
Green outward foreign direct investment (OFDI) has become an important driving force for sustainable economic and environmental development. However,...
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Evaluating different machine learning models for predicting municipal solid waste generation: a case study of Malaysia
It is crucial for develo** countries such as Malaysia to be able to accurately predict future municipal solid waste generations in order to achieve...
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Short-term solar radiation forecasting using machine learning models under different sky conditions: evaluations and comparisons
Forecasting short-term solar radiation is crucial for many solar energy applications. Additionally, solar energy has a lower environmental impact...
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From brown to green: are Asian economies on the right path? Assessing the role of green innovations and geopolitical risk on environmental quality
Preserving the sustainability of the natural environment has emerged as a critical focus on policy agendas worldwide. Therefore, this study examines...
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Asymmetric effects of climate policy uncertainty, geopolitical risk, and crude oil prices on clean energy prices
We investigate the asymmetric effects of climate policy uncertainty (CPU), geopolitical risk (GPR), and crude oil prices (WTI) on the realized...
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Intelligent modeling of photocatalytically reactive yellow 84 azo dye removal from aqueous solutions by ZnO-light expanded clay aggregate nanoparticles
This study deals with the intelligent modeling of reactive yellow 84 dye removal from aqueous solutions by zinc oxide (ZnO) nanoparticles based on...
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Impact of economic policy uncertainty, geopolitical risk, and economic complexity on carbon emissions and ecological footprint: an investigation of the E7 countries
There is a plethora of studies on the energy–consumption–environmental–quality nexus. Nevertheless, empirical research on the impact of global...
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Reduced-order modeling for parameterized large-eddy simulations of atmospheric pollutant dispersion
Map** near-field pollutant concentration is essential to track plume dispersion in urban areas. By solving most of the turbulence spectrum,...
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Geophysical methods reveal the soil architecture and subsurface stratigraphic heterogeneities across land-lake interfaces along Lake Erie
PurposeThe land-lake interface is a unique zone where terrestrial and aquatic ecosystems meet, forming part of the Earth’s most geochemically and...
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The impact of geopolitical risk, governance, technological innovations, energy use, and foreign direct investment on CO2 emissions in the BRICS region
Geopolitical risk (GPR) and other social indicators have raised many somber environmental-related issues among government environmentalists, and...
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Application of machine learning techniques to simulate the evaporative fraction and its relationship with environmental variables in corn crops
BackgroundThe evaporative fraction (EF) represents an important biophysical parameter reflecting the distribution of surface available energy. In...
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Implementation of hybrid wind speed prediction model based on different data mining and signal processing approaches
Accurate estimation of wind speed (WS) data, which greatly influences meteorological parameters, plays a vital role in the safe operation and...
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The potential of novel hybrid SBO-based long short-term memory network for prediction of dissolved oxygen concentration in successive points of the Savannah River, USA
The accurate estimation of dissolved oxygen (DO) as an important water quality indicator can provide a basis for ensuring the preservation of the...
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Water quality soft-sensor prediction in anaerobic process using deep neural network optimized by Tree-structured Parzen Estimator
Anaerobic process is regarded as a green and sustainable process due to low carbon emission and minimal energy consumption in wastewater treatment...
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Investigating the Environmental Kuznets Curve hypothesis amidst geopolitical risk: Global evidence using bootstrap ARDL approach
Environmental concerns have become one of the top inevitable issues the world has been facing nowadays. Human-induced carbon emissions are the main...
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Geopolitical risk, economic policy uncertainty, and dynamic connectedness between clean energy, conventional energy, and food markets
The global financial markets suffered unprecedented shocks, leading to significantly increased uncertainty in the markets due to various economic and...
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Machine learning for better prediction of seepage flow through embankment dams: Gaussian process regression versus SVR and RVM
In the present study, three machine learning methods were applied for predicting seepage flow through embankment dams, namely (i) support vector...
