EXPERIMENTAL FLOOD EARLY WARNING SYSTEM IN PARTS OF BEAS BASIN USING INTEGRATION OF WEATHER FORECASTING, HYDROLOGICAL AND HYDRODYNAMIC MODELS
نویسندگان
چکیده
منابع مشابه
hydrological drought forecasting using arima models (case study: karkheh basin)
the present research was planned to evaluate the skill of linear stochastic models known as arima and multiplicative seasonal autoregressive integrated moving average (sarima) model in the quantitative forecasting of the standard runoff index (sri) in karkheh basin. to this end, sri was computed in monthly and seasonal time scales in 10 hydrometric stations in 1974-75 to 2012-13 period of time ...
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Hydrological drought refers to a persistently low discharge and volume of water in streams and reservoirs, lasting months or years. Hydrological drought is a natural phenomenon, but it may be exacerbated by human activities. Hydrological droughts are usually related to meteorological droughts, and their recurrence interval varies accordingly. This study pursues to identify a stochastic model (o...
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Introduction Conclusions References Tables Figures Back Close Full Screen / Esc This discussion paper is/has been under review for the journal Hydrology and Earth System Sciences (HESS). Please refer to the corresponding final paper in HESS if available. Abstract Introduction Conclusions References Tables Figures Back Close Full Screen / Esc Abstract Flood risk can be reduced by means of flood ...
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Provision of early flood warning is an important strategy in reducing flood damage and loss of life. To increase warning lead-time and mitigate impacts more efficiently, flood forecasting systems are increasingly becoming an essential step in the warning process. Development of these has traditionally been initiated by local authorities, and often these systems were no more than a dedicated use...
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ژورنال
عنوان ژورنال: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2018
ISSN: 2194-9034
DOI: 10.5194/isprs-archives-xlii-5-221-2018