15 Result(s)
within
Ali-Akbar Sabziparvar
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Article
Evaluation of the RegCM model capability in simulating leaf area index and climatic feedback of dynamic vegetation cover in Iran
Leaf area index (LAI) is an important agrometeorological index and a key variable which is influenced by many physical, biological and physiological processes in plant communities. This study evaluates the abi...
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Article
Long-term changes of surface albedo and vegetation indices in north of Iran
Surface albedo is a key parameter in earth energy budget and global climate change studies. In this aspect, variation in vegetation covers is one of the most critical issues affecting global energy balance. Th...
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Article
Evaluation of Soil Nitrate Accumulation under Different Fertigation Regimes and Simulation by the Hydrus-1D Model
Nitrate loss is a major reason for non-point source contamination on agricultural lands. The objective of this study was to assess the Hydrus-1D model for simulation of soil nitrate in different irrigation reg...
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Article
Long-term spatiotemporal variations in satellite-based soil moisture and vegetation indices over Iran
Soil moisture plays a crucial role in vegetation growth. However, the long-term influence of soil moisture on vegetation growth was not sufficiently understood in many regions, especially in develo** countri...
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Article
Long-term comparison of the climate extremes variability in different climate types located in coastal and inland regions of Iran
The present study examined annually and seasonally trends in climate-based and location-based indices after detection of artificial change points and application of homogenization. Thirteen temperature and eig...
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Article
Analysis of changes in thermal growing season indices (tGSI) and their relations with some selected atmospheric teleconnection patterns (ATPs) over the northwest of Iran
The daily minimum air temperature data from 18 stations located in the northwest of Iran during the period 1986–2015 was used to analyse the inter-annual variations and trends of thermal growing season indices...
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Chapter and Conference Paper
Refining Surface Net Radiation Estimates in Arid and Semi-arid Climates of Iran
This study investigates the accuracy of the ISCCP FD and AIRS surface air and skin temperatures, as well as the ISCCP FD and MODIS surface albedos and aerosol optical depths. The comparisons showed that the AI...
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Article
Calibration of the Angström-Prescott solar radiation model for accurate estimation of reference evapotranspiration in the absence of observed solar radiation
The Angström-Prescott (AP) model is widely suggested for estimating global solar radiation (R s), especially for reference crop evapotranspiration (ET0) calculations. Many previous studies indicat...
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Article
Artificial neural network–genetic algorithm for estimation of crop evapotranspiration in a semi-arid region of Iran
This study compares the daily potato crop evapotranspiration (ETC) estimated by artificial neural network (ANN), neural network–genetic algorithm (NNGA) and multivariate nonlinear regression (MNLR) methods. Using...
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Article
Modeling moisture diffusivity, activation energy and specific energy consumption of squash seeds in a semi fluidized and fluidized bed drying
This study investigated thin layer drying of squash seeds under semi fluidized and fluidized bed conditions with initial moisture content about 83.99% (d.b.). An experimental fluidized bed dryer was also used ...
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Article
An Improved Estimation of the Angstrom–Prescott Radiation Coefficients for the FAO56 Penman–Monteith Evapotranspiration Method
The FAO56 Penman–Monteith (FAO56-PM) method is known as the standard method for estimating reference evapotranspiration (ET0) in a variety of climate types. Global solar radiation (Rs) is one of the essential inp...
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Article
Investigation of meteorological extreme events over coastal regions of Iran
In this study, in order to detect probable trends and effects of climatic extreme events of precipitation and temperature as well as maximum relative humidity, dew point temperature, sunshine hours, and wind s...
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Article
Comparison of artificial neural network and multivariate linear regression methods for estimation of daily soil temperature in an arid region
Soil temperature (T S) strongly influences a wide range of biotic and abiotic processes. As an alternative to direct measurement, indirect determination of T S from...
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Article
Estimation of daily pan evaporation using artificial neural network and multivariate non-linear regression
Measurement of evaporation (E) rate from various natural surfaces is known as the key element in any hydrological cycle and hydrometeorological studies. Due to the shortage of pan evaporation (E ...
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Article
Evaluation of Class A Pan Coefficient Models for Estimation of Reference Crop Evapotranspiration in Cold Semi-Arid and Warm Arid Climates
Evapotranspiration and evaporation measurements are important parameters for many agricultural activities such as water resource management and environmental studies. There are several models which can determi...
