AIMC Topic: Rivers

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From Hydrometeorology to River Water Quality: Can a Deep Learning Model Predict Dissolved Oxygen at the Continental Scale?

Environmental science & technology Feb 3, 2021
Dissolved oxygen (DO) reflects river metabolic pulses and is an essential water quality measure. Our capabilities of forecasting DO however remain elusive. Water quality data, specifically DO data here, often have large gaps and sparse areal and temp...
Oxygen Water Quality Rivers Deep Learning Environmental Monitoring
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Identification Framework of Contaminant Spill in Rivers Using Machine Learning with Breakthrough Curve Analysis.

International journal of environmental research and public health Jan 24, 2021
To minimize the damage from contaminant accidents in rivers, early identification of the contaminant source is crucial. Thus, in this study, a framework combining Machine Learning (ML) and the Transient Storage zone Model (TSM) was developed to predi...
Republic of Korea Risk Assessment Rivers Machine Learning
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An efficient method for building a database of diatom populations for drowning site inference using a deep learning algorithm.

International journal of legal medicine Jan 3, 2021
Seasonal or monthly databases of the diatom populations in specific bodies of water are needed to infer the drowning site of a drowned body. However, existing diatom testing methods are laborious, time-consuming, and costly and usually require specif...
Diatoms Lung Forensic Pathology China Drowning Rats, Sprague-Dawley Rivers Seasons Models, Animal Rats Neural Networks, Computer Sensitivity and Specificity Databases, Factual Artificial Intelligence Animals
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Iterative classifier optimizer-based pace regression and random forest hybrid models for suspended sediment load prediction.

Environmental science and pollution research international Oct 30, 2020
Suspended sediment load is a substantial portion of the total sediment load in rivers and plays a vital role in determination of the service life of the downstream dam. To this end, estimation models are needed to compute suspended sediment load in r...
Rivers Geologic Sediments India Environmental Monitoring Neural Networks, Computer Artificial Intelligence
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Temporal variation and sharing of antibiotic resistance genes between water and wild fish gut in a peri-urban river.

Journal of environmental sciences (China) Oct 24, 2020
Antibiotic resistance genes (ARGs) as emergence contaminations have spread widely in the water environment. Wild fish may be recipients and communicators of ARGs in the water environment, however, the distribution and transmission of ARGs in the wild...
Water Drug Resistance, Microbial Anti-Bacterial Agents Gastrointestinal Microbiome Rivers Animals RNA, Ribosomal, 16S Genes, Bacterial
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Using machine learning to understand the implications of meteorological conditions for fish kills.

Scientific reports Oct 12, 2020
Fish kills, often caused by low levels of dissolved oxygen (DO), involve with complex interactions and dynamics in the environment. In many places the precise cause of massive fish kills remains uncertain due to a lack of continuous water quality mon...
Fishes Rivers Air Pressure Oxygen Seasons Meteorological Concepts Machine Learning Animals Water Environmental Monitoring Ecosystem Humans
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Application of an artificial neural network for the improvement of agricultural drainage water quality using a submerged biofilter.

Environmental science and pollution research international Sep 25, 2020
Artificial neural network (ANN) mathematical models, such as the radial basis function neural network (RBFNN), have been used successfully in different environmental engineering applications to provide a reasonable match between the measured and pred...
Egypt Water Quality Biological Oxygen Demand Analysis Rivers Neural Networks, Computer
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Robotic environmental DNA bio-surveillance of freshwater health.

Scientific reports Sep 1, 2020
Autonomous water sampling technologies may help to overcome the human resource challenges of monitoring biological threats to rivers over long time periods and across large geographic areas. The Monterey Bay Aquarium Research Institute has pioneered ...
Humans Fishes Rivers Animals DNA, Environmental Environmental Monitoring Fresh Water Robotics Feasibility Studies
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Allocation of Flood Drainage Rights Based on the PSR Model and Pythagoras Fuzzy TOPSIS Method.

International journal of environmental research and public health Aug 11, 2020
To minimize losses caused by flooding of areas in a river basin, flood risk management may sacrifice the interests of some areas. Because of regional differences in natural and urban conditions, rankings of the urgencies of flood drainage rights allo...
Humans Floods Models, Theoretical Rivers Resource Allocation Fuzzy Logic Water Conservation of Natural Resources Cities Risk Management
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Optimal Selection of Sewage Treatment Technologies in Town Areas: A Coupled Multi-Criteria Decision-Making Model.

Environmental management Jul 28, 2020
In recent years, the development of sewage treatment technologies has made many treatment options available in towns. Selecting the most appropriate alternative (MAA) can make the best use of existing resources to achieve the optimal effect, which ha...
Sewage Animals Cities China Rivers Fuzzy Logic
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