AIMC Topic: Rain

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Rain garden infiltration rate modeling using gradient boosting machine and deep learning techniques.

Water science and technology : a journal of the International Association on Water Pollution Research Nov 1, 2021
Rain garden is effective in reducing storm water runoff, whose efficiency depends upon several parameters such as soil type, vegetation and meteorological factors. Evaluation of rain gardens has been done by various researchers. However, knowledge fo...
Soil Deep Learning Environmental Monitoring Poaceae Rain
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Flood forecasting within urban drainage systems using NARX neural network.

Water science and technology : a journal of the International Association on Water Pollution Research Nov 1, 2017
Urbanization activity and climate change increase the runoff volumes, and consequently the surcharge of the urban drainage systems (UDS). In addition, age and structural failures of these utilities limit their capacities, and thus generate hydraulic ...
Neural Networks, Computer Cities Models, Theoretical Climate Change Floods Rain Urbanization Drainage, Sanitary
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Hybrid wavelet-support vector machine approach for modelling rainfall-runoff process.

Water science and technology : a journal of the International Association on Water Pollution Research Jan 1, 2016
Because of the importance of water resources management, the need for accurate modeling of the rainfall-runoff process has rapidly grown in the past decades. Recently, the support vector machine (SVM) approach has been used by hydrologists for rainfa...
Neural Networks, Computer Models, Theoretical Support Vector Machine Rivers Rain Water Movements Hydrology Water Resources
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