AIMC Topic: Water Resources

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Different policies constrained agricultural non-point pollutants emission trading management for water system under interval, fuzzy, and stochastic information.

Environmental research Dec 10, 2023
Formulating suitable policies is essential for resources and environmental management. In this study, an agricultural pollutants emission trading management model driven by water resources and pollutants control is developed to search reasonable poli...
Models, Theoretical Fuzzy Logic China Agriculture Uncertainty Water Resources Probability Water Quality
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Long-lead streamflow forecasting using computational intelligence methods while considering uncertainty issue.

Environmental science and pollution research international Jun 27, 2023
While some robust artificial intelligence (AI) techniques such as Gene-Expression Programming (GEP), Model Tree (MT), and Multivariate Adaptive Regression Spline (MARS) have been frequently employed in the field of water resources, documents aimed to...
Trees Uncertainty Forecasting Rivers Water Resources Lead Artificial Intelligence
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A comparative study of data-driven models for runoff, sediment, and nitrate forecasting.

Journal of environmental management May 8, 2023
Effective prediction of qualitative and quantitative indicators for runoff is quite essential in water resources planning and management. However, although several data-driven and model-driven forecasting approaches have been employed in the literatu...
Neural Networks, Computer Nitrates Water Resources Algorithms Forecasting
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Daily reference evapotranspiration prediction for irrigation scheduling decisions based on the hybrid PSO-LSTM model.

PloS one Apr 18, 2023
The shortage of available water resources and climate change are major factors affecting agricultural irrigation. In order to improve the irrigation water use efficiency, it is necessary to predict the water requirements for crops in advance. Referen...
Water Resources Neural Networks, Computer Water Agricultural Irrigation Artificial Intelligence
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Enhanced rainfall prediction performance via hybrid empirical-singular-wavelet-fuzzy approaches.

Environmental science and pollution research international Mar 28, 2023
Rainfall is a vital process in the hydrological cycle of the globe. Accessing reliable and accurate rainfall data is crucial for water resources operation, flood control, drought warning, irrigation, and drainage. In the present study, the main objec...
Water Resources Hydrology Forecasting Fuzzy Logic Floods
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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...
Weather Rivers Water Resources Machine Learning Forecasting
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Stepwise decomposition-integration-prediction framework for runoff forecasting considering boundary correction.

The Science of the total environment Aug 26, 2022
Predicting river runoff accurately is of substantial significance for flood control, water resource allocation, and basin ecological dispatching. To explore the reasonable and effective application of time series decomposition in runoff forecasting, ...
Neural Networks, Computer Forecasting Reproducibility of Results Water Water Resources
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Evaluating water resource carrying capacity using the deep learning method: a case study of Yunnan, Southwest China.

Environmental science and pollution research international Feb 24, 2022
Water resource carrying capacity (WRCC) is an important index for measuring the relations between water resource systems and socio-economic-environmental development. In view of the difficulty in describing the complex and nonlinear relationships bet...
Economic Development Water Resources Conservation of Natural Resources Deep Learning China
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A novel approach on water resource management with Multi-Criteria Optimization and Intelligent Water Demand Forecasting in Saudi Arabia.

Environmental research Dec 21, 2021
Ever-increasing demands for freshwater resources have elevated the likelihood of severe water stress in several places of Saudi Arabia during the last several decades. With effective decision-making processes, development objectives on water resource...
Forecasting Saudi Arabia Models, Theoretical Artificial Intelligence Water Resources
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A stochastic modeling approach for analyzing water resources systems.

Journal of contaminant hydrology Aug 8, 2021
Many uncertain factors exist in the water resource systems, leading to dynamic characteristics of the water distribution process. Especially for the watershed including irrigation area with multiple water sources and water users, it is complicated th...
Stochastic Processes Uncertainty Fuzzy Logic Models, Theoretical Water Supply Probability Water Resources
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