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    Mapping of climatic parameters under climate change impacts in Iran 

    Type: Journal Paper
    Author : Dastorani, M.T., and S. Poormohammadi.
    Publisher: Informa UK Limited
    Year: 2016
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    Determination of groundwater evapotranspiration at regions with shallow water table (Case study: Azadegan plain, Iran) 

    Type: Conference Paper
    Author : S., Poormohammadi; M.H., Rahimian
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    Evaluation of water balance in a mountainous upland catchment using SEBAL approach 

    Type: Journal Paper
    Author : محمدتقی دستورانی; S. Poormohammadi; Mohammad Taghi Dastorani
    Year: 2012
    Abstract:

    Scarcity of water is now the biggest threat in many parts of the world, specially in

    arid and semi arid regions. Establishing balance between water resources and the demands in

    a catchment scale basis could ...

    Evaluation of the effects of climate change on future drought trends (Case study: Yazd in central Iran) 

    Type: Conference Paper
    Author : محمدتقی دستورانی; S. Poormohammadi; A.R. Massah Bavani; M.H. Rahimian; Mohammad Taghi Dastorani
    Year: 2010
    Abstract:

    This research evaluates the effects of climate change on future drought trends (Case study: Yazd in central Iran)

    Evaluation of the effects of climate change on catchment scale surface and groundwater balance 

    Type: Conference Paper
    Author : محمدتقی دستورانی; S. Poormohammadi; A.R. Massah-Bavani; H. Jafari; Mohammad Taghi Dastorani
    Year: 2015
    Abstract:

    This research has focused on evaluation and determination of water balance components in semi-arid catchment of Toyserkan in Hamedan province in Iran. To be able to complete this research, different physical and experimental ...

    Assessment of potential climate change impacts on drought indicators. Case study: Yazd in central Iran 

    Type: Journal Paper
    Author : محمدتقی دستورانی; A.R. Massah Bavani; S. Poormohammadi; M.H. Rahimian; Mohammad Taghi Dastorani
    Year: 2011
    Abstract:

    In recent decades artificial neural networks (ANNs) have shown great ability in modeling and forecasting non-linear and non-stationary time series and in most of the cases especially in prediction of phenomena have showed ...

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