AIMC Topic: Rain

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Risk assessment of hybrid rain harvesting system and other small drinking water supply systems by game theory and fuzzy logic modeling.

The Science of the total environment Nov 2, 2019
The complexity and uncertainties affecting drinking water supply systems and threatening hazards require a comprehensive and effective risk assessment to increase the reliability of drinking water safety, especially for small or household systems. Th...
Water Supply Rain Game Theory Fuzzy Logic Drinking Water Risk Assessment China Reproducibility of Results
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Machine Learning Model for Imbalanced Cholera Dataset in Tanzania.

TheScientificWorldJournal Jul 25, 2019
Cholera epidemic remains a public threat throughout history, affecting vulnerable population living with unreliable water and substandard sanitary conditions. Various studies have observed that the occurrence of cholera has strong linkage with enviro...
Databases as Topic Tanzania Cholera Rain Seasons World Health Organization Humans Machine Learning
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Rainfall time series disaggregation in mountainous regions using hybrid wavelet-artificial intelligence methods.

Environmental research Oct 15, 2018
In mountainous regions, rainfall can be extremely variable in space and time. The need to simulate rainfall time series at different scales on one hand and the lack of recording such parameters in small scales because of administrative and economic p...
Environmental Monitoring Support Vector Machine Wavelet Analysis Rain Linear Models Neural Networks, Computer
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Modeling the reflection of Photosynthetically active radiation in a monodominant floodable forest in the Pantanal of Mato Grosso State using multivariate statistics and neural networks.

Anais da Academia Brasileira de Ciencias Aug 15, 2016
The study of radiation entrance and exit dynamics and energy consumption in a system is important for understanding the environmental processes that rule the biosphere-atmosphere interactions of all ecosystems. This study provides an analysis of the ...
Brazil Time Factors Radiation Wetlands Forests Multivariate Analysis Rain Neural Networks, Computer Humidity Photosynthesis Seasons Wind
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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...
Environmental Monitoring Neural Networks, Computer India Rivers Geologic Sediments Temperature Models, Theoretical Rain
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Formation mechanism analysis and the prediction for compound flood arising from rainstorm and tide using explainable artificial intelligence.

Journal of environmental management Jul 1, 2025
The compounded effect of heavy rainfall and high tide backwater significantly exacerbate the load on urban drainage systems in coastal cities, leading to an escalating risk of compound flood disasters. The formation mechanism of compound floods is of...
Artificial Intelligence Floods Rain
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Hybrid Physical Mechanism and Artificial Intelligence-Based Model for Evaluating Nonpoint Source Pesticide Pollution at a Megacity Scale.

Environmental science & technology Jun 10, 2025
Large-scale nonpoint source (NPS) pesticide pollution is a growing concern in urban areas; however, modeling of such pollution is constrained by challenges in acquiring urban pipeline data and the scarcity of pollutant monitoring data. This study pre...
Environmental Monitoring Water Pollutants, Chemical Artificial Intelligence Pesticides Cities Rain Models, Theoretical China
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Exploring the morpho-tectonic nature, hydrological and physical characteristics of a watershed and prioritizing sub-watersheds surface runoff potentialities by integrating MCDM and ensemble machine learning models.

Journal of environmental management Jun 1, 2025
Much effective rainfall often leads to natural and human-induced hazards when unused. Therefore, monitoring and managing water resources by assessing comprehensive surface runoff (SR) potential is crucial instead of relying on broad sub-watershed (SW...
Rain Hydrology Water Resources Machine Learning Models, Theoretical
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Meteorological and traffic effects on air pollutants using Bayesian networks and deep learning.

Journal of environmental sciences (China) Jun 1, 2025
Traffic emissions have become the major air pollution source in urban areas. Therefore, understanding the highly non-stational and complex impact of traffic factors on air quality is very important for building air quality prediction models. Using re...
Air Pollutants Bayes Theorem Environmental Monitoring Taiwan Rain Air Pollution Vehicle Emissions Deep Learning Cities
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Image rain removal network based on checkerboard transformer and CNN hybrid mechanism.

PloS one Jan 1, 2025
In this paper, a novel hybrid network called ChessFormer is proposed for the single image de-rain task. The network seamlessly integrates the advantages of Transformer and fitted neural network (CNN) in a checkerboard architecture, fully utilizing th...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Rain
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