AIMC Topic: Salinity

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Assessment of the uncertainty and interpretability of deep learning models for mapping soil salinity using DeepQuantreg and game theory.

Scientific reports Sep 7, 2022
This research introduces a new combined modelling approach for mapping soil salinity in the Minab plain in southern Iran. This study assessed the uncertainty (with 95% confidence limits) and interpretability of two deep learning (DL) models (deep bol...
Soil Sand Uncertainty Game Theory Deep Learning Salinity
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Estimation and uncertainty analysis of groundwater quality parameters in a coastal aquifer under seawater intrusion: a comparative study of deep learning and classic machine learning methods.

Environmental science and pollution research international Aug 8, 2022
Excessive withdrawal of groundwater for agricultural irrigation can cause seawater intrusion into coastal aquifers. Such a case will in turn results in deterioration of irrigation water quality. Determination of irrigation water quality with traditio...
Salinity Uncertainty Groundwater Water Pollutants, Chemical Environmental Monitoring Seawater Deep Learning
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Estimation of the Mixed Layer Depth in the Indian Ocean from Surface Parameters: A Clustering-Neural Network Method.

Sensors (Basel, Switzerland) Jul 26, 2022
The effective estimation of mixed-layer depth (MLD) plays a significant role in the study of ocean dynamics and global climate change. However, the methods of estimating MLD still have limitations due to the sparse resolution of the observed data. In...
Seawater Salinity Indian Ocean Neural Networks, Computer Linear Models Cluster Analysis
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A Low-Cost AI Buoy System for Monitoring Water Quality at Offshore Aquaculture Cages.

Sensors (Basel, Switzerland) May 27, 2022
The ocean resources have been rapidly depleted in the recent decade, and the complementary role of aquaculture to food security has become more critical than ever before. Water quality is one of the key factors in determining the success of aquacultu...
Humans Aquaculture Water Quality Salinity Artificial Intelligence Environmental Monitoring
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Temporal Prediction of Paralytic Shellfish Toxins in the Mussel Using a LSTM Neural Network Model from Environmental Data.

Toxins Jan 12, 2022
Paralytic shellfish toxins (PSTs) are produced mainly by (formerly ). Since 2000, the National Institute of Fisheries Science (NIFS) has been providing information on PST outbreaks in Korean coastal waters at one- or two-week intervals. However, a d...
Mytilus Tidal Waves Marine Toxins Salinity Animals Water Models, Theoretical Environmental Monitoring Time Factors Republic of Korea Temperature Neural Networks, Computer
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Mapping soil salinity using a combined spectral and topographical indices with artificial neural network.

PloS one May 13, 2021
Monitoring the status of natural and ecological resources is necessary for conservation and protection. Soil is one of the most important environmental resources in agricultural lands and natural resources. In this research study, we used Landsat 8 a...
Electric Conductivity Models, Theoretical Iran Geography Neural Networks, Computer Salinity Spectrum Analysis Soil
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Predicting fish kills and toxic blooms in an intensive mariculture site in the Philippines using a machine learning model.

The Science of the total environment Dec 17, 2019
Harmful algal blooms (HABs) that produce toxins and those that lead to fish kills are global problems that appear to be increasing in frequency and expanding in area. One way to help mitigate their impacts on people's health and livelihoods is to dev...
Environmental Monitoring Aquaculture Philippines Harmful Algal Bloom Fishes Machine Learning Chlorophyll Shellfish Animals Salinity
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Changes in bacterial and archaeal communities during the concentration of brine at the graduation towers in Ciechocinek spa (Poland).

Extremophiles : life under extreme conditions Dec 19, 2017
This study evaluates the changes in bacterial and archaeal community structure during the gradual evaporation of water from the brine (extracted from subsurface Jurassic deposits) in the system of graduation towers located in Ciechocinek spa, Poland....
Archaea Salinity Water Microbiology Bacteria Salts Microbiota
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Microbial community redundancy in anaerobic digestion drives process recovery after salinity exposure.

Water research Dec 26, 2016
Anaerobic digestion of high-salinity wastewaters often results in process inhibition due to the susceptibility of the methanogenic archaea. The ability of the microbial community to deal with increased salinity levels is of high importance to ensure ...
Salinity Methane Bioreactors Sewage Anaerobiosis Archaea
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Development of wavelet-ANN models to predict water quality parameters in Hilo Bay, Pacific Ocean.

Marine pollution bulletin Jul 2, 2015
The main objective of this study is to apply artificial neural network (ANN) and wavelet-neural network (WNN) models for predicting a variety of ocean water quality parameters. In this regard, several water quality parameters in Hilo Bay, Pacific Oce...
Salinity Neural Networks, Computer Bays Temperature Water Quality Hawaii Models, Theoretical Pacific Ocean Environmental Monitoring
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