AIMC Topic: Rain

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[Multi-factor Impact Analysis of Grassland Phenology Changes on the Qinghai-Xizang Plateau Based on Interpretable Machine Learning].

Huan jing ke xue= Huanjing kexue Jun 8, 2024
The vegetation phenology of the Qinghai-Xizang Plateau is changing significantly in the context of climate change. However, there are many hydrothermal factors affecting the phenology, and few studies have focused on the effects of multiple factors o...
Machine Learning Temperature Soil China Environmental Monitoring Remote Sensing Technology Seasons Poaceae Climate Change Altitude Grassland Rain
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A fuzzy TOPSIS-based approach for prioritizing low-impact development methods in high-density residential areas.

Water science and technology : a journal of the International Association on Water Pollution Research Jan 1, 2024
The study successfully implemented six low-impact development (LID) methods to manage surface runoff in urban areas: green roof, infiltration trench, bio retention cell, rain barrel, green roof combined with infiltration trench, and rain barrel combi...
Cities Models, Theoretical Fuzzy Logic Iran Conservation of Natural Resources Rain Water Movements
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Enhancing rainfall-runoff model accuracy with machine learning models by using soil water index to reflect runoff characteristics.

Water science and technology : a journal of the International Association on Water Pollution Research Jan 1, 2024
The advancement of data-driven models contributes to the improvement of estimating rainfall-runoff models due to their advantages in terms of data requirements and high performance. However, data-driven models that rely solely on rainfall data have l...
Neural Networks, Computer Machine Learning Soil Water Models, Theoretical Environmental Monitoring Rain Water Movements
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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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