AIMC Topic: Salinity

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Land use change and soil salinization in the Sundarbans: a machine-learning based analysis of long-term transformation and future projections.

Environmental monitoring and assessment
Quantitative data on coastal land use changes are essential for effective resource management and sustainable development. In this study, we examined land use and land cover (LULC) changes, along with erosion and accretion, in the climate-sensitive S...

From fixed points to optimum regions: AI-NSGA-II framework for high-recovery, low-energy brackish water RO.

Water research
Escalating global freshwater scarcity demands more energy-efficient and sustainable brackish water reverse osmosis (BWRO) desalination. This study demonstrates how integrating high-fidelity Artificial Neural Network (ANN) surrogates with a robust Non...

Modeling and forecasting vibrio vulnificus concentration of long-range dependence on marine environmental conditions.

Water research
Vibrio vulnificus (vvh) is an epidemiologically significant bacterium that naturally occurs in coastal waters under favorable environmental conditions and causes one of the highest mortality rates among known foodborne pathogens. Little is currently ...

Deep learning simulation and decision support system for groundwater salinity risk assessment in the lower Chao Phraya River Basin, Thailand.

Environmental monitoring and assessment
Groundwater salinization poses a critical threat to freshwater security in coastal regions, particularly under intensified extraction and evolving hydroclimatic conditions. This study examines the spatial and temporal evolution of salinity in the low...

Combined effect of salt stress and high light in plants: from basic statistical approach to machine learning methods.

BMC plant biology
Infrared thermal imaging offers a rapid and sensitive approach to assessing temperature changes in plants caused by salt stress, even in the early stages of exposure. Given the increasing prevalence of salt contamination in the environment, it is ess...

Conceptual development and implementation of a digital twin model for managing saltwater intrusion of an island coastal aquifer.

Environmental monitoring and assessment
Saltwater intrusion (SWI) poses a significant environmental challenge for coastal aquifers in Pacific Island nations, including Port Vila, Vanuatu. This study utilised a 3D numerical simulation model to evaluate SWI in the Tagabe coastal aquifer unde...

Toward explicit learning frameworks for predicting the solubility of CO - N gas mixtures in brine: Implication for impure CO storage in saline aquifers.

Journal of contaminant hydrology
Carbon capture and storage (CCS) is a crucial technology for reducing industrial CO emissions and mitigating climate change. However, its large-scale deployment faces significant financial challenges, with CO capture and compression accounting for th...

Decoding nutrient dynamics in coastal aquifers: Machine learning insights into submarine groundwater discharge and seawater intrusion in south India.

Chemosphere
Coastal aquifers are vulnerable to natural and human-induced processes that impact their resilience and ecosystems. Submarine Groundwater Discharge (SGD) and Seawater Intrusion (SWI) play crucial roles in transporting nutrients and contaminants into ...

Classifying the seascape of eastern tropical pacific based on physicochemical variables.

Marine environmental research
The Eastern Tropical Pacific (ETP) is a highly environmentally heterogeneous ocean with high biological richness and endemism. Capturing and structuring this variability through a classification into seascapes is essential to support ecological resea...

Enhanced nitrogen prediction and mechanistic process analysis in high-salinity wastewater treatment using interpretable machine learning approach.

Bioresource technology
This study introduces an interpretable machine learning framework to predict nitrogen removal in membrane bioreactor (MBR) treating high-salinity wastewater. By integrating Shapley additive explanations (SHAP) with Categorical Boosting (CatBoost), we...