Výsledky vyhledávání - "Vahid Varshavian"

Akademický článek

Comparing three types of data-driven models for monthly evapotranspiration prediction under heterogeneous climatic conditions

Autor: Pouya Aghelpour, Vahid Varshavian, Mehraneh Khodamorad Pour, Zahra Hamedi

Publikováno v: Scientific Reports, Vol 12, Iss 1, Pp 1-19 (2022)

Abstract Evapotranspiration is one of the most important hydro-climatological components which directly affects agricultural productions. Therefore, its forecasting is critical for water managers and irrigation planners. In this study, adaptive neuro

Externí odkaz: https://doaj.org/article/7e69a0eb83814b8aab8eb7f8a1ca9e04

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Akademický článek

Long-term forecast of monthly reference evapotranspiration of the period 2018-2027 using SARIMA and GRNN models (case study: Rasht synoptic station)

Autor: Pouya Aghelpoor, Vahid Varshavian, Mehraneh Khodamoradpoor

Publikováno v: علوم محیطی, Vol 17, Iss 4, Pp 213-230 (2019)

Introduction: Evapotranspiration is a key principle of water balance and an important element of energy balance. Therefore, forecasting and estimation of evapotranspiration in agricultural water management, forecasting and monitoring drought, and the

Externí odkaz: https://doaj.org/article/9375cedfa72148c8b459f02cfec64c58

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Akademický článek

Forecasting Different Types of Droughts Simultaneously Using Multivariate Standardized Precipitation Index (MSPI), MLP Neural Network, and Imperialistic Competitive Algorithm (ICA)

Autor: Pouya Aghelpour, Vahid Varshavian

Publikováno v: Complexity, Vol 2021 (2021)

Precipitation deficit causes meteorological drought, and its continuation appears as other different types of droughts including hydrological, agricultural, economic, and social droughts. Multivariate Standardized Precipitation Index (MSPI) can show

Externí odkaz: https://doaj.org/article/1efaf001bf0448ea87bfc5d8db665cda

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Evaluating the predictability of eight Atmospheric-Oceanic signals affecting Iran’s Droughts, employing intelligence based and stochastic methods

Autor: Reza Norooz Valashedi, Pouya Aghelpour, Hadigheh Bahrami-Pichaghchi, Vahid Varshavian

Publikováno v: Advances in Space Research. 71:2394-2415

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0f26435e9e5e0077d5426db147ddcb4b
https://doi.org/10.1016/j.asr.2022.10.047

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Performance analysis of LARS-WG and SDSM downscaling models in simulating temperature and precipitation changes in the West of Iran

Autor: Mohammad Lotfi, Gholam Ali Kamali, Amir Hussain Meshkatee, Vahid Varshavian

Publikováno v: Modeling Earth Systems and Environment. 8:4649-4659

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e38c71ff280e46d271ca30a519eea0e0
https://doi.org/10.1007/s40808-022-01393-8

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Evaluating the Impact of Large-Scale Climatic Indices as Inputs for Forecasting Monthly River Flow in Mazandaran Province, Iran

Autor: Pouya Aghelpour, Hadigheh Bahrami-Pichaghchi, Vahid Varshavian, Renata Graf, Mohammad Ali Gholami Sefidkouhi, Mojtaba Khoshravesh

Publikováno v: Pure and Applied Geophysics. 179:1309-1331

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c2198fe803122fe02613ef0980490adf
https://doi.org/10.1007/s00024-022-02970-9

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Closure to 'Multivariate Drought Forecasting in Short- and Long-Term Horizons Using MSPI and Data-Driven Approaches' by Pouya Aghelpour, Ozgur Kisi, and Vahid Varshavian

Autor: Pouya Aghelpour, Ozgur Kisi, Vahid Varshavian

Publikováno v: Journal of Hydrologic Engineering. 27

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b215f7fcb61b16e77d2c1d6423982883
https://doi.org/10.1061/(asce)he.1943-5584.0002215

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Comparing The Models SARIMA, ANFIS And ANFIS-DE In Forecasting Monthly Evapotranspiration Rates Under Heterogeneous Climatic Conditions

Autor: Vahid Varshavian, Zahra Hamedi, Pouya Aghelpour

Reference crop evapotranspiration (ET0) is one of the most important hydro-climatological components which directly affects agricultural productions, and its forecasting is critical for water managers and irrigation planners. In this study, adaptive

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f7f32ff80308300e472092a69ad27424
https://doi.org/10.21203/rs.3.rs-781601/v1

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Evaluation of stochastic and artificial intelligence models in modeling and predicting of river daily flow time series

Autor: Pouya Aghelpour, Vahid Varshavian

Publikováno v: Stochastic Environmental Research and Risk Assessment. 34:33-50

Modeling and forecasting the flow of rivers, especially in flood-prone areas using warning systems, enables officials to take the required measures for cutting the damage. On the other hand, they can adopt specific measures flood control and preventi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4f466478920c708360e58b92dcd1f8bc
https://doi.org/10.1007/s00477-019-01761-4

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Evaluating Three Supervised Machine Learning Algorithms (LM, BR, and SCG) for Daily Pan Evaporation Estimation in a Semi-Arid Region

Autor: Zahra Bagheri Khalili, Pouya Aghelpour, Babak Mohammadi, Vahid Varshavian

Publikováno v: Water; Volume 14; Issue 21; Pages: 3435

Evaporation is one of the main components of the hydrological cycle, and its estimation is crucial and important for water resources management issues. Access to a reliable estimator tool for evaporation simulation is important in arid and semi-arid

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7bd7de09be8f5af6310db8a2f3bead0
https://doi.org/10.3390/w14213435

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