Search Results - "Hosseini Baghanam, Aida"

Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review by Nourani, Vahid, Hosseini Baghanam, Aida, Adamowski, Jan, Kisi, Ozgur

“…•The paper reviews applications of hybrid wavelet–AI models in hydro-climatology.•Efficiency of hybrid models regarding processes and model type were…”
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Wavelet-based predictor screening for statistical downscaling of precipitation and temperature using the artificial neural network method by Hosseini Baghanam, Aida, Norouzi, Ehsan, Nourani, Vahid

“…Abstract One of the challenging issues in statistical downscaling of climate models is to select dominant large-scale climate variables (predictors)…”
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Application of weather research and forecasting (WRF) model in evaluating depth–duration–frequency estimates under a future climate scenario by Mohebbi, Amin, Adams, Katlynn Rose, Akbariyeh, Simin, Maruf, Montasir, Hosseini Baghanam, Aida

“…Abstract Point precipitation frequency estimates (PPFEs) are used in the design of stormwater drainage infrastructures. The PPFEs for 1-year to 1,000-year…”
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Improving the statistical downscaling performance of climatic parameters with convolutional neural networks by Hosseini Baghanam, Aida, Nourani, Vahid, Bejani, Mohammad, Ke, Chang-Qing

“…ABSTRACT This study examines two downscaling techniques, convolutional neural networks (CNNs) and feedforward neural networks for predicting precipitation and…”
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An integrated simulation-optimization framework to optimize the reservoir operation adapted to climate change scenarios by Nourani, Vahid, Rouzegari, Nazak, Molajou, Amir, Hosseini Baghanam, Aida

“…•A novel framework is introduced to optimize reservoir operation rules due to climate.•change.•M5 showed acceptable performance in selecting the most important…”
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ANN-based statistical downscaling of climatic parameters using decision tree predictor screening method by Nourani, Vahid, Razzaghzadeh, Zahra, Baghanam, Aida Hosseini, Molajou, Amir

“…In this paper, artificial neural network (ANN) was used for statistically downscale the outputs of general circulation models (GCMs) to assess future changes…”
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Using self-organizing maps and wavelet transforms for space–time pre-processing of satellite precipitation and runoff data in neural network based rainfall–runoff modeling by Nourani, Vahid, Baghanam, Aida Hosseini, Adamowski, Jan, Gebremichael, Mekonnen

“…► We applied SOM to extract dominant inputs to a FFNN-based rainfall–runoff model. ► Wavelet transform was also employed to handle the seasonality of the…”
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Assessing the impact of climate change over the northwest of Iran: an overview of statistical downscaling methods by Baghanam, Aida Hosseini, Eslahi, Mehdi, Sheikhbabaei, Ali, Seifi, Arshia Jedary

“…Due to the spatial-temporal inadequacy of large-scale general circulation models (GCMs), linking large-scale GCM data with small-scale local climatic data has…”
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Forecasting CO pollutant concentration of Tabriz city air using artificial neural network and adaptive neuro-fuzzy inference system and its impact on sustainable development of urban by Nourani, Vahid, Karimzadeh, Hossein, Baghanam, Aida Hosseini

“…Tabriz as one of the major industrial cities of Iran is not immune to air pollution and spends many days air-polluted each year. Since one of the goals of…”
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Conjunction of wavelet-entropy and SOM clustering for multi-GCM statistical downscaling by Baghanam, Aida Hosseini, Nourani, Vahid, Keynejad, Mohammad-Ali, Taghipour, Hassan, Alami, Mohammad-Taghi

“…Abstract Important issues in statistical downscaling of general circulation models (GCMs) is to select dominant large-scale climate data (predictors). This…”
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Data-driven ensemble model to statistically downscale rainfall using nonlinear predictor screening approach by Nourani, Vahid, Baghanam, Aida Hosseini, Gokcekus, Huseyin

“…•The statistical ANN & LSSVM downscaling of GCM data was performed on rainfall data.•The novel variable screening framework was proposed using…”
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A fuzzy logic-based approach for groundwater vulnerability assessment by Nourani, Vahid, Maleki, Sana, Najafi, Hessam, Baghanam, Aida Hosseini

“…Groundwater vulnerability assessment systems have been developed to protect groundwater resources. The DRASTIC model calculates the vulnerability index of the…”
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A systematic review of predictor screening methods for downscaling of numerical climate models by Baghanam, Aida Hosseini, Nourani, Vahid, Bejani, Mohammad, Pourali, Hadi, Kantoush, Sameh Ahmed, Zhang, Yongqiang

“…Effective selection of climate predictors is a fundamental aspect of climate modeling research. Predictor Screening (PS) plays a crucial role in identifying…”
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Z-numbers based novel method for assessing groundwater specific vulnerability by Maleki, Sana, Nourani, Vahid, Najafi, Hessam, Baghanam, Aida Hosseini, Ke, Chang-Qing

“…Groundwater vulnerability assessment systems are developed to achieve a suitable method for protecting groundwater resources from contaminants. One of the…”
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Evaluation of Leachate Quality and its Effects on Agriculture in the Vicinity of Zanjan Landfill by Zohreh Khodaverdi, Aida Hosseini Baghanam, Vahid Nourani

“…Landfills can be considered as a potential threat to groundwater resources, considering the potential of groundwater pollution by leachate with the pollutants…”
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Two Semidistributed ANN-Based Models for Estimation of Suspended Sediment Load by Nourani, Vahid, Kalantari, Omid, Baghanam, Aida Hosseini

“…AbstractThe sediment load transported in a river is the most complex hydrological phenomenon due to a large number of obscure parameters and the existence of…”
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Assessing the Drought Vulnerability of Alberta: A Deep Learning Approach for Hydro-Climatological Analysis by Vahid Nourani, Hadi Pourali, Mohammad Bejani, Aida Hosseini Baghanam

“…This study investigates the vulnerability of Alberta province in Canada to extreme weather events, particularly drought, which has historically caused…”
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IMPLICATION OF SOM-ANN BASED CLUSTERING FOR MULTISTATION RAINFALL-RUNOFF MODELING by Nourani, Vahid, Mehrvand, Masoud, Baghanam, Aida Hosseini

“…In this study the performance of ANN with feed-forward neural network algorithm evaluated rainfall-runoff modeling in five gauging stations in Florida State…”
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IMPLICATION OF SOM-ANN BASED CLUSTERING FOR MULTI-STATION RAINFALL-RUNOFF MODELING by Vahid Nourani, Masoud Mehrvand, Aida Hosseini Baghanam

“…In this study the performance of ANN with feed-forward neural network (FFNN) algorithm evaluated rainfall-runoff modeling in five gauging stations in Florida…”
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