AI Medical Compendium Journal:
Journal of environmental sciences (China)

Showing 1 to 10 of 48 articles

Coastal ozone dynamics and formation regime in Eastern China: Integrating trend decomposition and machine learning techniques.

Journal of environmental sciences (China) Jun 6, 2024
Machine-learning is a robust technique for understanding pollution characteristics of surface ozone, which are at high levels in urban China. This study introduced an innovative approach combining trend decomposition with Random Forest algorithm to i...
Machine Learning China Air Pollution Ozone Volatile Organic Compounds Environmental Monitoring Air Pollutants
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Spatio-temporal prediction of groundwater vulnerability based on CNN-LSTM model with self-attention mechanism: A case study in Hetao Plain, northern China.

Journal of environmental sciences (China) Apr 15, 2024
Located in northern China, the Hetao Plain is an important agro-economic zone and population centre. The deterioration of local groundwater quality has had a serious impact on human health and economic development. Nowadays, the groundwater vulnerabi...
Groundwater Neural Networks, Computer Environmental Monitoring China
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Machine learning-assisted fluorescence visualization for sequential quantitative detection of aluminum and fluoride ions.

Journal of environmental sciences (China) Jan 30, 2024
The presence of aluminum (Al) and fluoride (F) ions in the environment can be harmful to ecosystems and human health, highlighting the need for accurate and efficient monitoring. In this paper, an innovative approach is presented that leverages the p...
Water Pollutants, Chemical Fluorides Machine Learning Environmental Monitoring Fluorescence Aluminum
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Efficient remediation of different concentrations of Cr-contaminated soils by nano zero-valent iron modified with carboxymethyl cellulose and biochar.

Journal of environmental sciences (China) Dec 18, 2023
Nano zero-valent iron (nZVI) is widely used in soil remediation due to its high reactivity. However, the easy agglomeration, poor antioxidant ability and passivation layer of Fe-Cr coprecipitates of nZVI have limited its application scale in Cr-conta...
Soil Pollutants Charcoal Iron Chromium Environmental Restoration and Remediation Soil Metal Nanoparticles Carboxymethylcellulose Sodium
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Rapid detection of colored and colorless macro- and micro-plastics in complex environment via near-infrared spectroscopy and machine learning.

Journal of environmental sciences (China) Dec 8, 2023
To better understand the migration behavior of plastic fragments in the environment, development of rapid non-destructive methods for in-situ identification and characterization of plastic fragments is necessary. However, most of the studies had focu...
Discriminant Analysis Color Environmental Monitoring Machine Learning Plastics Spectroscopy, Near-Infrared Least-Squares Analysis
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Predicting the efficiency of arsenic immobilization in soils by biochar using machine learning.

Journal of environmental sciences (China) Nov 27, 2023
Arsenic (As) pollution in soils is a pervasive environmental issue. Biochar immobilization offers a promising solution for addressing soil As contamination. The efficiency of biochar in immobilizing As in soils primarily hinges on the characteristics...
Charcoal Arsenic Models, Chemical Soil Machine Learning Soil Pollutants
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TFEB/LAMP2 contributes to PM-induced autophagy-lysosome dysfunction and alpha-synuclein dysregulation in astrocytes.

Journal of environmental sciences (China) Oct 5, 2023
Atmospheric particulate matter (PM) exacerbates the risk factor for Alzheimer's and Parkinson's diseases (PD) by promoting the alpha-synuclein (α-syn) pathology in the brain. However, the molecular mechanisms of astrocytes involvement in α-syn pathol...
Basic Helix-Loop-Helix Leucine Zipper Transcription Factors Lysosomal-Associated Membrane Protein 2 Autophagy Lysosomes Particulate Matter Mice, Inbred ICR Animals Mice Astrocytes alpha-Synuclein Air Pollutants
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Investigation of spatiotemporal distribution and formation mechanisms of ozone pollution in eastern Chinese cities applying convolutional neural network.

Journal of environmental sciences (China) Sep 11, 2023
Severe ground-level ozone (O) pollution over major Chinese cities has become one of the most challenging problems, which have deleterious effects on human health and the sustainability of society. This study explored the spatiotemporal distribution c...
Neural Networks, Computer Spatio-Temporal Analysis China Ozone Air Pollutants Air Pollution Cities Environmental Monitoring
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Spatial differentiation of carbon emissions from energy consumption based on machine learning algorithm: A case study during 2015-2020 in Shaanxi, China.

Journal of environmental sciences (China) Aug 22, 2023
Carbon emissions resulting from energy consumption have become a pressing issue for governments worldwide. Accurate estimation of carbon emissions using satellite remote sensing data has become a crucial research problem. Previous studies relied on s...
Machine Learning Algorithms China Environmental Monitoring Carbon Remote Sensing Technology Air Pollution Air Pollutants Bayes Theorem
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Enhancing corn stalk-based anaerobic digestion with different types of zero-valent iron added during the acidification stage: Performance and mechanism.

Journal of environmental sciences (China) Aug 5, 2023
Anaerobic digestion has been defined as a competitive approach to facilitate the recycling of corn stalks. However, few studies have focused on the role of direct interspecies electron transfer (DIET) pathway in the acidification stage under the addi...
Fatty Acids, Volatile Anaerobiosis Bioreactors Iron Zea mays Methane
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