AIMC Topic: Geologic Sediments

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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...
Neural Networks, Computer Environmental Monitoring Rivers Geologic Sediments Artificial Intelligence India
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Neural networks differentiate between Middle and Later Stone Age lithic assemblages in eastern Africa.

PloS one Aug 26, 2020
The Middle to Later Stone Age transition marks a major change in how Late Pleistocene African populations produced and used stone tool kits, but is manifest in various ways, places and times across the continent. Alongside changing patterns of raw ma...
Fossils Neural Networks, Computer Animals Africa, Eastern Archaeology Geologic Sediments Humans
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Letter to the editor "Modeling daily suspended sediment load using improved support vector machine model and genetic algorithm".

Environmental science and pollution research international Feb 14, 2020
Rivers Geologic Sediments Support Vector Machine
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Influence of Industrialization and Environmental Protection on Environmental Pollution: A Case Study of Taihu Lake, China.

International journal of environmental research and public health Nov 23, 2018
In order to quantitatively study the effect of environmental protection in China since the twenty-first century and the environmental pollution projected for the next ten years (under the model of extensive economic development), this paper establish...
Neural Networks, Computer Lakes China Bayes Theorem Environmental Pollution Cadmium Environmental Monitoring Water Pollutants, Chemical Benzo(a)pyrene Industrial Development Conservation of Natural Resources Geologic Sediments
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Modeling daily suspended sediment load using improved support vector machine model and genetic algorithm.

Environmental science and pollution research international Oct 24, 2018
Prediction of sediment volume and sediment load is always one of the important issues for decision-makers of watershed basins. The present study investigated the daily suspended sediment load in a watershed basin using the improved support vector mac...
Geologic Sediments Hydrology Support Vector Machine Iran Algorithms
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Antifouling booster biocide extraction from marine sediments: a fast and simple method based on vortex-assisted matrix solid-phase extraction.

Environmental science and pollution research international Dec 27, 2017
This paper reports the development of an analytical method employing vortex-assisted matrix solid-phase dispersion (MSPD) for the extraction of diuron, Irgarol 1051, TCMTB (2-thiocyanomethylthiobenzothiazole), DCOIT (4,5-dichloro-2-n-octyl-3-(2H)-iso...
Diuron Aniline Compounds Geologic Sediments Chromatography, Liquid Disinfectants Solid Phase Extraction Triazines
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Identifying trace metal distribution and occurrence in sediments, inundated soils, and non-flooded soils of a reservoir catchment using Self-Organizing Maps, an artificial neural network method.

Environmental science and pollution research international Jul 10, 2017
The Lancang-Mekong River is a trans-boundary river which provides a livelihood for over 60 million people in Southeast Asia. Its environmental security is vital to both local and regional inhabitants. Efforts have been undertaken to identify controll...
Geologic Sediments Floods Soil Pollutants Rivers Soil Metals, Heavy China Trace Elements Neural Networks, Computer Environmental Monitoring
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Typha latifolia (broadleaf cattail) as bioindicator of different types of pollution in aquatic ecosystems-application of self-organizing feature map (neural network).

Environmental science and pollution research international Apr 5, 2016
The contents of Cd, Cu, Fe, Mn, Ni, Pb, and Zn in leaves of Typha latifolia (broadleaf cattail), water and bottom sediment from 72 study sites designated in different regions of Poland were determined using atomic absorption spectrometry. The aim of ...
Poland Trace Elements Agriculture Environmental Monitoring Geologic Sediments Neural Networks, Computer Environmental Pollution Metals Typhaceae Water Pollutants, Chemical Ecosystem Plant Leaves Ecology Metals, Heavy
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Development of sediment load estimation models by using artificial neural networking techniques.

Environmental monitoring and assessment Oct 13, 2015
This study aims at the development of an artificial neural network-based model for the estimation of weekly sediment load at a catchment located in northern part of Pakistan. The adopted methodology has been based upon antecedent sediment conditions,...
Geologic Sediments Models, Theoretical Pakistan Neural Networks, Computer Environmental Monitoring Linear Models Algorithms Environmental Pollutants
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ANN modelling of sediment concentration in the dynamic glacial environment of Gangotri in Himalaya.

Environmental monitoring and assessment Jul 9, 2015
The present study explores for the first time the possibility of modelling sediment concentration with artificial neural networks (ANNs) at Gangotri, the source of Bhagirathi River in the Himalaya. Discharge, rainfall and temperature have been consid...
Rivers Geologic Sediments Rain Models, Theoretical Environmental Monitoring Temperature Neural Networks, Computer India
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