AIMC Topic: Rivers

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Application of deep learning approaches to predict monthly stream flows.

Environmental monitoring and assessment May 22, 2023
Accurate and reliable flow estimations are of great importance for hydroelectric power generation, flood and drought risk management, and the effective use of water resources. This research carries out a comprehensive study on the application of gate...
Environmental Monitoring Artificial Intelligence Rivers Neural Networks, Computer Deep Learning
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Prediction and sensitivity analysis of chlorophyll a based on a support vector machine regression algorithm.

Environmental monitoring and assessment May 20, 2023
Outbreaks of planktonic algae seriously affect the water quality of rivers and are difficult to control. Based on the analysis of the temporal and spatial variation characteristics of environmental factors, this study uses a support vector machine re...
Support Vector Machine Nitrogen China Environmental Monitoring Chlorophyll Chlorophyll A Phosphorus Rivers Eutrophication Lakes
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Machine learning-based detection and mapping of riverine litter utilizing Sentinel-2 imagery.

Environmental science and pollution research international Apr 28, 2023
Despite the substantial impact of rivers on the global marine litter problem, riverine litter has been accorded inadequate consideration. Therefore, our objective was to detect riverine litter by utilizing middle-scale multispectral satellite images ...
Rivers Algorithms Random Forest Neural Networks, Computer Machine Learning
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Water quality assessment of deep learning-improved comprehensive pollution index: a case study of Dagu River, Jiaozhou Bay, China.

Environmental science and pollution research international Apr 26, 2023
In the past few decades, with the country's rapid development, water pollution has become a significant problem many countries face. Most of the existing water quality evaluation uses a single time-invariant model to simulate the evolution process, w...
Deep Learning Rivers Bays China Water Quality
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Combining Deep Learning and Hydrological Analysis for Identifying Check Dam Systems from Remote Sensing Images and DEMs in the Yellow River Basin.

International journal of environmental research and public health Mar 6, 2023
Identifying and extracting check dams is of great significance for soil and water conservation, agricultural management, and ecological assessment. In the Yellow River Basin, the check dam, as a system, generally comprises dam locations and dam-contr...
Rivers Conservation of Water Resources Deep Learning Remote Sensing Technology Soil
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Explainable deep learning for insights in El Niño and river flows.

Nature communications Jan 20, 2023
The El Niño Southern Oscillation (ENSO) is a semi-periodic fluctuation in sea surface temperature (SST) over the tropical central and eastern Pacific Ocean that influences interannual variability in regional hydrology across the world through long-ra...
Deep Learning Rivers Pacific Ocean El Nino-Southern Oscillation Temperature
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Analysis of YOLOv5 and DeepLabv3+ Algorithms for Detecting Illegal Cultivation on Public Land: A Case Study of a Riverside in Korea.

International journal of environmental research and public health Jan 18, 2023
Rivers are generally classified as either national or local rivers. Large-scale national rivers are maintained through systematic maintenance and management, whereas many difficulties can be encountered in the management of small-scale local rivers. ...
Republic of Korea Environmental Monitoring Artificial Intelligence Rivers Algorithms Environmental Pollution
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Large-scale prediction of stream water quality using an interpretable deep learning approach.

Journal of environmental management Jan 17, 2023
Deep learning methods, which have strong capabilities for mapping highly nonlinear relationships with acceptable calculation speed, have been increasingly applied for water quality prediction in recent studies. However, it is argued that the practica...
Nitrogen Phosphorus Water Quality Rivers Environmental Monitoring Water Pollutants, Chemical Deep Learning China
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Research on the development trend, evolution, and spatial local characteristics of the intelligent smart medical industry in the Yangtze River Economic Belt.

Frontiers in public health Jan 12, 2023
A comprehensive survey of the development trends, trend evolution, and spatial non-equilibrium characteristics of the intelligent smart medical industry in the Yangtze River Economic Belt could provide significant policy implications for optimizing t...
Industry Cities Artificial Intelligence Economic Development Rivers
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Real-time streamflow forecasting in a reservoir-regulated river basin using explainable machine learning and conceptual reservoir module.

The Science of the total environment Dec 5, 2022
Real-time streamflow forecasting is essential to manage water resources effectively in a reservoir-regulated basin. However, forecasting becomes challenging without weather and upstream reservoir outflows forecasts in real-time. In this context, a no...
Rivers Water Resources Weather Machine Learning Forecasting
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