全部文献期刊会议图书|学者科研项目
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作者:Vahid Nourani , Hüseyin Gökçekuş , Ibrahim Khalil Umar
来源:[J].Environmental Research(IF 3.238), 2020, Vol.180
摘要:Abstract(#br)Vehicular traffic noise is the main source of noise pollution in major cities around the globe. A reliable and accurate method for the estimation of vehicular traffic noise is therefore essential for creating a healthy noise-free environment. In this study, 2 linear ...
作者:Vahid Nourani , Hüseyin Gökçekuş ...
来源:[J].Science of the Total Environment(IF 3.258), 2020, Vol.707
摘要:Abstract(#br)Road traffic is a leading source of environmental noise pollution in large cities, which greatly affects the health and well-being of people. A reliable method for the prediction of road traffic noise is required for monitoring and assessment of traffic noise exposur...
作者:Vahid Nourani , Gozen Elkiran , Jazuli Abdullahi
来源:[J].Journal of Hydrology(IF 2.964), 2020, Vol.581
摘要:Abstract(#br)Efficient estimation of Reference Evapotranspiration (ET 0 ) becomes necessary for water resources management and irrigation practices. Despite research advancement in the recent decades, results inconsistencies have been reported related to chaotic, stochastic and b...
作者:Vahid Nourani
来源:[J].Journal of Hydrology(IF 2.964), 2017, Vol.544, pp.267-277
摘要:Abstract(#br)This paper presents the first hydrological implementation of Emotional Artificial Neural Network (EANN), as a new generation of Artificial Intelligence-based models for daily rainfall-runoff (r-r) modeling of the watersheds. Inspired by neurophysiological form of bra...
作者:Vahid Nourani , Gholamreza Andalib , Dominika Dąbrowska
来源:[J].Journal of Hydrology(IF 2.964), 2017
摘要:Abstract(#br)Accurate nitrate load predictions can elevate decision management of water quality of watersheds which affects to environment and drinking water. In this paper, two scenarios were considered for Multi-Station (MS) nitrate load modeling of the Little River watershed. ...
作者:Vahid Nourani , Aida Hosseini Baghanam , Huseyin Gokcekus
来源:[J].Journal of Hydrology(IF 2.964), 2018, Vol.565, pp.538-551
摘要:Abstract(#br)The Artificial Intelligence (AI) models i.e., Artificial Neural Network (ANN) and Least Square Support Vector Machine (LSSVM) were used to statistically downscale and project rainfall data from CMIP5 General Circulation Models (GCMs) for Tabriz and Ardabil synop...
作者:Vahid Nourani , Shahram Mousavi ...
来源:[J].Journal of Hydrology(IF 2.964), 2017, Vol.548, pp.569-587
摘要:Abstract(#br)As an innovation, both black box and physical-based models were incorporated into simulating groundwater flow and contaminant transport. Time series of groundwater level (GL) and chloride concentration (CC) observed at different piezometers of study plain were firstl...
作者:Vahid Nourani , Shahram Mousavi ...
来源:[J].Journal of Contaminant Hydrology(IF 2.885), 2017, Vol.205, pp.78-95
摘要:Abstract(#br)This study developed a new hybrid artificial intelligence (AI)-meshless approach for modeling contaminant transport in porous media. The key innovation of the proposed approach is that both black box and physically-based models are combined for modeling contaminant t...
作者:Vahid Nourani , Kiyoumars Roushangar , Gholamreza Andalib
来源:[J].Journal of Hydrology(IF 2.964), 2018, Vol.562, pp.371-384
摘要:Abstract(#br)Land Use and Land Cover (LULC) changes intrinsically lead to various hydrological impacts especially on the outflow rate of the watersheds. This research investigated LULC changes and its effect on outlet runoff by detecting LULC changes location and severity vi...
作者:Vahid Nourani , Amir Molajou
来源:[J].Global and Planetary Change(IF 3.155), 2017, Vol.159, pp.37-45
摘要:Abstract(#br)The previous researches have shown that the incorporation of the oceanic-atmospheric climate phenomena such as Sea Surface Temperature (SST) into hydro-climatic models could provide important predictive information about hydro-climatic variability. In this paper, the...

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