AIMC Journal:
The Science of the total environment

Showing 181 to 190 of 226 articles

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...
Fishes Philippines Environmental Monitoring Aquaculture Salinity Harmful Algal Bloom Chlorophyll Machine Learning Shellfish Animals
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Artificial intelligence based approaches to evaluate actual evapotranspiration in wetlands.

The Science of the total environment Nov 20, 2019
Wetlands are extraordinary ecosystems and important climate regulators that also contribute to reduce natural disaster risk. Unfortunately, wetlands are declining much faster than forests. The safeguarding of the wetlands also needs knowledge of the ...
Artificial Intelligence Temperature Neural Networks, Computer Wetlands Water Movements Wind Models, Theoretical Environmental Monitoring
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Application of deep learning in aquatic bioassessment: Towards automated identification of non-biting midges.

The Science of the total environment Nov 14, 2019
Morphological species identification is often a difficult, expensive, and time-consuming process which hinders the ability for reliable biomonitoring of aquatic ecosystems. An alternative approach is to automate the whole process, accelerating the id...
Animals Ecosystem Neural Networks, Computer Deep Learning Serbia
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Risk assessment of hybrid rain harvesting system and other small drinking water supply systems by game theory and fuzzy logic modeling.

The Science of the total environment Nov 2, 2019
The complexity and uncertainties affecting drinking water supply systems and threatening hazards require a comprehensive and effective risk assessment to increase the reliability of drinking water safety, especially for small or household systems. Th...
Water Supply Rain Drinking Water Game Theory Reproducibility of Results China Risk Assessment Fuzzy Logic
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Forecasting of bioaerosol concentration by a Back Propagation neural network model.

The Science of the total environment Sep 5, 2019
Bioaerosol in the atmosphere plays a very important role in environment and public health. To forecast the bioaerosol concentration, the correlation between bioaerosol concentration and meteorological factors was discussed, and a Back Propagation (BP...
Atmosphere Meteorological Concepts Aerosols Neural Networks, Computer Environmental Monitoring Air Pollution
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The performance of gravity-driven membrane (GDM) filtration for roofing rainwater reuse: Implications of roofing rainwater energy and rainwater purification.

The Science of the total environment Aug 30, 2019
Rainwater harvesting (RWH) coupled with gravity-driven membrane (GDM) filtration was used to simultaneously treat rainwater and recover energy. A pilot GDM could obtain a relatively stable level of permeate flux (~4.0 L/(m·h)) under a set water head ...
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Estimating daily PM concentrations in New York City at the neighborhood-scale: Implications for integrating non-regulatory measurements.

The Science of the total environment Aug 27, 2019
Previous PM related epidemiological studies mainly relied on data from sparse regulatory monitors to assess exposure. The introduction of non-regulatory PM monitors presents both opportunities and challenges to researchers and air quality managers. I...
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Environmental contaminants in coastal populations: Comparisons with the National Health and Nutrition Examination Survey (NHANES) and resident dolphins.

The Science of the total environment Aug 23, 2019
BACKGROUND: People living in coastal communities are at risk for exposure to environmental hazards, including legacy chemicals. We can use databases such as NHANES to assess whether contaminants in coastal communities are present in higher levels tha...
Environmental Monitoring Water Pollutants, Chemical Bottle-Nosed Dolphin Animals Humans Nutrition Surveys Dolphins
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Examining plant uptake and translocation of emerging contaminants using machine learning: Implications to food security.

The Science of the total environment Aug 20, 2019
When water and solutes enter the plant root through the epidermis, organic contaminants in solution either cross the root membranes and transport through the vascular pathways to the aerial tissues or accumulate in the plant roots. The accumulation o...
Neural Networks, Computer Xylem Plants Machine Learning Food Supply Cluster Analysis Fuzzy Logic Soil Pollutants
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A curated knowledgebase on endocrine disrupting chemicals and their biological systems-level perturbations.

The Science of the total environment Jul 16, 2019
Human well-being can be affected by exposure to several chemicals in the environment. One such group is endocrine disrupting chemicals (EDCs) that can perturb the hormonal homeostasis leading to adverse health effects. In this work, we have developed...
Rodentia Humans Animals Knowledge Bases Environmental Pollutants Endocrine Disruptors
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