Uncertainty analysis of streamflow drought forecast using artificial neural networks and Monte-Carlo simulation

International Journal of Climatology

Volumn 34, Issue 4, 2014, Pages 1169-1180

  Dehghani, Majid ^a   Saghafian, Bahram ^a   Nasiri Saleh, Farzin ^b   Farokhnia, Ashkan ^b,c   Noori, Roohollah ^d  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b TARBIAT MODARES UNIVERSITY   (Iran)

^c AEROSPACE RESEARCH INSTITUTE   (Iran)

^d ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Artificial neural network; Hydrological drought; Monte carlo simulation; Standardized hydrological drought index; Uncertainty

Indexed keywords

CONFIDENCE INTERVAL; FEED-FORWARD ARTIFICIAL NEURAL NETWORKS; FORWARD SELECTION; HYDROLOGICAL DROUGHTS; INPUT VARIABLES; MONTE-CARLO SIMULATIONS; STANDARDIZED PRECIPITATION INDEX; UNCERTAINTY;

DROUGHT; INTELLIGENT SYSTEMS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; TIME SERIES; UNCERTAINTY ANALYSIS; WEATHER FORECASTING;

STREAM FLOW;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; CONFIDENCE INTERVAL; DROUGHT; MONTE CARLO ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; STREAMFLOW; TIME SERIES ANALYSIS; UNCERTAINTY ANALYSIS; WEATHER FORECASTING;

IRAN; KAROON RIVER; KHUZESTAN;

EID: 84900591331     PISSN: 08998418     EISSN: 10970088     Source Type: Journal    
DOI: 10.1002/joc.3754     Document Type: Article

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