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Microbial growth in actual martian regolith in the form of Mars meteorite EETA79001
Studies to understand the growth of organisms on Mars are hampered by the use of simulants to duplicate martian mineralogy and chemistry. Even though...
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Fe-rich X-ray amorphous material records past climate and persistence of water on Mars
X-ray amorphous material comprises 15-73 wt.% of sedimentary rocks and eolian sediments in Gale crater. This material is variably siliceous and iron...
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Chemical weathering over hundreds of millions of years of greenhouse conditions on Mars
Chemical weathering profiles on Mars which consist of an upper Al clay-rich, Fe-poor layer and lower Fe/Mg clay-rich layer are believed to have...
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Evaluation of PM10 concentration by using Mars and XGBOOST algorithms in Iğdır Province of Türkiye
Air pollution is extremely harmful to human health, ecosystems and the climate. In this context, the level of particulate matter at high...
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A semi-empirical model for thermal decomposition of carbonates and its application to astrobiology
We review the basis of a semi-empirical model of carbonate decomposition developed by the authors, shortly discussing numerous previous theories....
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The development of dissolved oxygen forecast model using hybrid machine learning algorithm with hydro-meteorological variables
Dissolved oxygen (DO) forecasting is essential for aquatic managers responsible for maintaining ecosystem health and the management of water bodies...
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Networked configurations as an emergent property of transverse aeolian ridges on Mars
Transverse aeolian ridges – enigmatic Martian features without a proven terrestrial analog – are increasingly important to our understanding of...
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Predicting water quality variability in a Mediterranean hypereutrophic monomictic reservoir using Sentinel 2 MSI: the importance of considering model functional form
Anthropogenic eutrophication is a global environmental problem threatening the ecological functions of many inland freshwaters and diminishing their...
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Improved monthly streamflow prediction using integrated multivariate adaptive regression spline with K-means clustering: implementation of reanalyzed remote sensing data
This study investigates monthly streamflow modeling at Kale and Durucasu stations in the Black Sea Region of Turkey using remote sensing data. The...
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Modelling energy performance using a new hybrid DE/MARS–based approach for fossil-fuel thermal power stations
Despite their environmental impact, fossil-fuel power plants are still commonly used due to their high capacity and relatively low cost compared to...
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Integration of Multivariate Adaptive Regression Splines and Weighted Arithmetic Water Quality Index Methods for Drinking Water Quality Analysis
The water quality index (WQI) is a widely used tool for assessing water quality of various water bodies, but it has drawn criticism for being...
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Long-lead streamflow forecasting using computational intelligence methods while considering uncertainty issue
While some robust artificial intelligence (AI) techniques such as Gene-Expression Programming (GEP), Model Tree (MT), and Multivariate Adaptive...
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Daily scale evapotranspiration prediction over the coastal region of southwest Bangladesh: new development of artificial intelligence model
Among several complex hydrological process elements, Evapotranspiration (ET) is the most complex one. Estimation of ET is very challenging compared...
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Discharge coefficient estimation of modified semi-cylindrical weirs using machine learning approaches
Based on the principles design of hydrofoil weirs, Modified Semi-Cylindrical Weirs (MSCWs) incorporate an innovative tangential ramp along the...
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Ecological states of watercourses regarding water quality parameters and hydromorphological parameters: deriving empirical equations by machine learning models
Environmental biomonitoring techniques have been widely applied to assess the quality states of toxic chemical compounds in surface freshwater...
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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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Estimation of transverse mixing coefficient in streams using M5, MARS, GA, and PSO approaches
Transverse mixing coefficient is one of the key elements of pollutant in two-dimensional modeling. In this study, four data-driven models, M5 model...
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Modeling eutrophication risks in Tanes reservoir by using a hybrid WOA optimized SVR-relied technique along with feature selection based on the MARS approximation
Total phosphorus (from now on mentioned as TP) and chlorophyll-a (from now on mentioned as Chl-a) are recognized indicators for phytoplankton large...
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Map** of dust source susceptibility by remote sensing and machine learning techniques (case study: Iran-Iraq border)
A dust storm is a major environmental problem affecting many arid regions worldwide. The novel contribution of this study is combining indicators...
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Simulating Complex Relationships Between Pollutants and the Environment Using Regression Splines: A Case Study for Landfill Leachate
Pollutant concentrations in the environment are functions of source variables, environmental variables, and time. Relationships among these variables...