AIMC Topic: Rivers

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Risk Analysis of Earth-Rock Dam Failures Based on Fuzzy Event Tree Method.

International journal of environmental research and public health Apr 29, 2018
Earth-rock dams make up a large proportion of the dams in China, and their failures can induce great risks. In this paper, the risks associated with earth-rock dam failure are analyzed from two aspects: the probability of a dam failure and the result...
Humans China Rivers Hydrodynamics Engineering Fuzzy Logic Equipment Failure
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Ecological Vulnerability Assessment Based on Fuzzy Analytical Method and Analytic Hierarchy Process in Yellow River Delta.

International journal of environmental research and public health Apr 25, 2018
The Yellow River Delta (YRD), located in Yellow River estuary, is characterized by rich ecological system types, and provides habitats or migration stations for wild birds, all of which makes the delta an ecological barrier or ecotone for inland area...
Environmental Monitoring Conservation of Natural Resources Fuzzy Logic Ecosystem Weather China Rivers Plants Models, Theoretical Humans Soil
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Integrating river hydromorphology and water quality into ecological status modelling by artificial neural networks.

Water research Apr 7, 2018
The aim of the study was to develop predictive models of the ecological status of rivers by using artificial neural networks. The relationships between five macrophyte indices and the combined impact of water pollution as well as hydromorphological d...
Ecosystem Models, Theoretical Environmental Monitoring Neural Networks, Computer Water Pollution Water Quality Rivers Aquatic Organisms Plants
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The Sustainable Development Assessment of Reservoir Resettlement Based on a BP Neural Network.

International journal of environmental research and public health Jan 18, 2018
Resettlement affects not only the resettlers' production activities and life but also, directly or indirectly, the normal operation of power stations, the sustainable development of the resettlers, and regional social stability. Therefore, a scientif...
Power Plants Rivers Conservation of Natural Resources Humans Neural Networks, Computer Transients and Migrants Developing Countries China
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Abundance and Species Diversity of Fungi in Rivers with Various Contaminations.

Current microbiology Dec 30, 2017
The main objective of this work was to determine the abundance and species diversity of fungi in the waters of selected rivers of Central Europe, NE Poland (Augustów Lakeland), differing in size, physical and chemical properties, and streamflow rate....
Rivers Fungi Biodiversity Phylogeny Water Pollutants, Chemical
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Multi-scale analysis of the relationship between landscape patterns and a water quality index (WQI) based on a stepwise linear regression (SLR) and geographically weighted regression (GWR) in the Ebinur Lake oasis.

Environmental science and pollution research international Dec 22, 2017
Water quality is highly dependent on landscape characteristics. This study explored the relationships between landscape patterns and water quality in the Ebinur Lake oasis in China. The water quality index (WQI) has been used to identify threats to w...
Grassland Spatial Regression Lakes Rivers China Environmental Monitoring Linear Models Water Quality
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Assessment of the water quality monitoring network of the Piabanha River experimental watersheds in Rio de Janeiro, Brazil, using autoassociative neural networks.

Environmental monitoring and assessment Aug 7, 2017
Water quality monitoring is a complex issue that requires support tools in order to provide information for water resource management. Budget constraints as well as an inadequate water quality network design call for the development of evaluation too...
Rivers Water Pollutants Neural Networks, Computer Water Resources Water Pollution Environmental Monitoring Water Quality Principal Component Analysis Brazil
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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...
Neural Networks, Computer China Trace Elements Soil Floods Rivers Environmental Monitoring Metals, Heavy Soil Pollutants Geologic Sediments
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Extreme learning machines: a new approach for modeling dissolved oxygen (DO) concentration with and without water quality variables as predictors.

Environmental science and pollution research international May 30, 2017
In this paper, several extreme learning machine (ELM) models, including standard extreme learning machine with sigmoid activation function (S-ELM), extreme learning machine with radial basis activation function (R-ELM), online sequential extreme lear...
Neural Networks, Computer Rivers Oxygen Linear Models Water Quality
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Prediction of dissolved oxygen concentration in hypoxic river systems using support vector machine: a case study of Wen-Rui Tang River, China.

Environmental science and pollution research international May 23, 2017
Accurate quantification of dissolved oxygen (DO) is critically important for managing water resources and controlling pollution. Artificial intelligence (AI) models have been successfully applied for modeling DO content in aquatic ecosystems with lim...
Rivers Support Vector Machine Water Pollutants, Chemical Oxygen China Environmental Monitoring Neural Networks, Computer
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