Výsledky vyhledávání - "Majid Vazifedoust"

Akademický článek

Comprehensive assessment of irrigation water requirements in Iran

Autor: Majid Vazifedoust, Mohammadreza Keshavarz, Ali Mokhtari, Elham Barikani, Mojtaba Palouj

Publikováno v: AIMS Agriculture and Food, Vol 9, Iss 1, Pp 282-303 (2024)

A national web-based simulation portal was developed to estimate the irrigation water requirements at plain scale in Iran. The National Water Portal (NWP) consists of four national databases (climatic, soil, crop, and spatial data), a lumped water ba

Externí odkaz: https://doaj.org/article/420907e35a3341eeadab04d25c26286d

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Akademický článek

Climate Classification for Major Cities in China Using Cluster Analysis

Autor: Huashuai Duan, Qinglan Li, Lunkai He, Jiali Zhang, Hongyu An, Riaz Ali, Majid Vazifedoust

Publikováno v: Atmosphere, Vol 15, Iss 7, p 741 (2024)

Climate classification plays a fundamental role in understanding climatic patterns, particularly in the context of a changing climate. This study utilized hourly meteorological data from 36 major cities in China from 2011 to 2021, including 2 m tempe

Externí odkaz: https://doaj.org/article/2d458abdaaf141f09065e71a824bce04

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Akademický článek

Variability of Extreme Climate Events and Prediction of Land Cover Change and Future Climate Change Effects on the Streamflow in Southeast Queensland, Australia

Autor: Hadis Pakdel, Sreeni Chadalavada, Md Jahangir Alam, Dev Raj Paudyal, Majid Vazifedoust

Publikováno v: ISPRS International Journal of Geo-Information, Vol 13, Iss 4, p 123 (2024)

The severity and frequency of extremes are changing; thus, it is becoming necessary to evaluate the impacts of land cover changes and urbanisation along with climate change. A framework of the Generalised Extreme Value (GEV) method, Google Earth Engi

Externí odkaz: https://doaj.org/article/a7e45e98beee439b869a432451474d8b

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Akademický článek

Integrating IHACRES with a data-driven model to investigate the possibility of improving monthly flow estimates

Autor: Parisa Fattahi, Afshin Ashrafzadeh, Nader Pirmoradian, Majid Vazifedoust

Publikováno v: Water Supply, Vol 22, Iss 1, Pp 360-371 (2022)

Estimating the outflow of basins is a critical step in surface water resources planning and management, especially in basins that lack reliable long-term observed data of streamflow. Hydrological models, which can simulate the process of rainfall-run

Externí odkaz: https://doaj.org/article/aa907122811d4a798bddd67efb3a86cb

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Akademický článek

A Multi-Framework of Google Earth Engine and GEV for Spatial Analysis of Extremes in Non-Stationary Condition in Southeast Queensland, Australia

Autor: Hadis Pakdel, Dev Raj Paudyal, Sreeni Chadalavada, Md Jahangir Alam, Majid Vazifedoust

Publikováno v: ISPRS International Journal of Geo-Information, Vol 12, Iss 9, p 370 (2023)

The frequency and severity of extremes, including extreme precipitation events, extreme evapotranspiration and extreme water storage deficit events, are changing. Thus, the necessity for developing a framework that estimates non-stationary conditions

Externí odkaz: https://doaj.org/article/560ac085f84147a28a67677fc196132c

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Akademický článek

Simulation of Rice Yield and its Components Using SWAP Model and Remote Sensing Technology for Optimal Use of Water and Soil

Autor: Hosein Pandi, Safoora Asadi Kapourchal, Majid Vazifedoust, Mojtaba Rezaei

Publikováno v: محیط زیست و مهندسی آب, Vol 6, Iss 4, Pp 374-387 (2020)

Given the importance of soil and water resources in the development of sustainable agriculture, increasing world population and the growing need for crop production, predicting crop yields using plant simulation models and remote sensing technology i

Externí odkaz: https://doaj.org/article/82b66d0a7f424b21bedc5f22a8bcf561

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Akademický článek

Google Earth Engine as Multi-Sensor Open-Source Tool for Monitoring Stream Flow in the Transboundary River Basin: Doosti River Dam

Autor: Hadis Pakdel-Khasmakhi, Majid Vazifedoust, Dev Raj Paudyal, Sreeni Chadalavada, Md Jahangir Alam

Publikováno v: ISPRS International Journal of Geo-Information, Vol 11, Iss 11, p 535 (2022)

Understanding the effects of global change and human activities on water supplies depends greatly on surface water dynamics. A comprehensive examination of the hydroclimatic variations at the transboundary level is essential for the development of an

Externí odkaz: https://doaj.org/article/080b700c547a4ec59a45713805b65783

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Akademický článek

Development of a new algorithm (SM-SEBAL) to evaluate Evapotranspiration based on remote sensing data

Autor: Farhad Mirzaee, Mohammadreza Keshavarz, Majid Vazifedoust

Publikováno v: مهندسی منابع آب, Vol 11, Iss 38, Pp 107-128 (2018)

The algorithm of Sufrace Energy BALance (SEBAL) is one of the most widely used methods for determining actual evapotranspiration through remote sensing. However, assuming a linear relationship between temperature difference (dT) and land surface temp

Externí odkaz: https://doaj.org/article/10f21ccb48a84ecf8274ecf6bd60ea3f

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