Regional classification for dryland agriculture in southern Iran

Sadeghi, Ali; Kamgar-Haghighi, Ali Akbar; Sepaskhah, Ali Reza; Khalili, Davar; Zand‐Parsa, Shahrokh

doi:10.1006/jare.2001.0822

Cited by 41 publications

(17 citation statements)

References 6 publications

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“…The mean annual precipitation for the province ranges from 50 to 1000 mm (Sadeghi et al, 2002). Because of the lack of weather data for estimating monthly ET o with the Penman-Monteith method for most weather stations in Fars province, the calibrated Hargreaves equation can be used for estimating monthly ET o in this region.…”

Section: Methodsmentioning

confidence: 99%

Spatial and temporal calibration of Hargreaves equation for calculating monthly ET_o based on Penman‐Monteith method

Fooladmand

Haghighat²

2007

Irrigation and Drainage

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The Penman-Monteith equation is the most common method for estimating reference crop evapotranspiration (ET o ). However, this method needs full weather data, but few stations with complete weather data exist in Fars province in Iran. On the other hand, the Hargreaves equation is a simpler method for estimating ET o . In this study, using the weather data of seven synoptic stations in Fars province in Iran and seven synoptic stations outside the province, the Hargreaves equation was calibrated based on the Penman-Monteith method for every month of the year and for a yearly time step. The results indicate that different coefficients should be used for each month of year and yearly time step instead of the original coefficient of 0.0023 in the Hargreaves equation. Therefore, it is possible to estimate monthly ET o by using the calibrated coefficients of the Hargreaves equation for different regions of Fars province for each month of the year. Also, according to the geographical locations of each station and by using the GIS-assisted methods, spatial distribution maps of yearly calibrated coefficients in RÉ SUMÉ L'équation de Penman-Monteith est la méthode la plus courante pour estimer l'évapotranspiration de référence d'une culture (ET o ). Cependant, cette méthode requiert des données météo complètes que peu de stations peuvent fournir dans la province de Fars en Iran. En revanche l'équation de Hargreaves est une méthode plus simple pour l'estimation de ETo. Dans cette étude, à partir des données météo de sept stations synoptiques de la province de Fars et de sept stations périphériques, l'équation de Hargreaves a été calibrée par rapport à la méthode Penman-Monteith pour chaque mois de l'année et au pas de temps annuel. Les résultats montrent que différents coefficients devraient être utilisés pour chaque mois de l'année et pour chaque année au lieu du coefficient original de 0,0023 de l'équation de Hargreaves. Il est donc possible d'estimer l'ETo mensuelle en utilisant des coefficients Hargreaves calibrés pour différentes régions de la province de Fars en Iran pour chaque mois de l'année. En outre, en fonction de la localisation géographique de chaque station et en utilisant des méthodes assistées par SIG, des cartes de distribution spatiale des coefficients annuels calibrés pour la province de Fars ont été tracées en utilisant la méthode du carré inverse de la distance.

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Section: Methodsmentioning

confidence: 99%

Spatial and temporal calibration of Hargreaves equation for calculating monthly ET_o based on Penman‐Monteith method

Fooladmand

Haghighat²

2007

Irrigation and Drainage

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“…These mountains avoid Mediterranean moisturebearing systems from crossing through this region to the east. The Zagros mountain range is responsible for the major portion of rain-producing air masses that enter the region from the west and north-west, with relatively high amounts of rainfall (Sadeghi et al 2002). The climate of this region is defined as sub-tropical with hot and dry weather in the summer season.…”

Section: Study Area and Datamentioning

confidence: 99%

The survey of climatic drought trend in Iran

Abarghouei

Zarch

Dastorani

et al. 2011

Stoch Environ Res Risk Assess

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Drought is one of the most important natural hazards in Iran. Therefore, drought monitoring has become a point of concern for most of the researchers. In the present study, the changes and trend of drought was surveyed, under the current global climate changes, by non parametric Mann-Kendall statistical test for 42 synoptic stations at different places of Iran. Standardized Precipitation Index (SPI) was calculated to recognize the drought condition at different time scales (3, 6, 9, 12, 18 and 24 months' time series) for analyzing the drought trend in the recent 30 years. The obtained results have indicated a significant negative trend of drought in many parts of Iran, especially the South-East, West and South-West regions of the country. According to the results, although some parts of Iran such as North (around the Caspian Sea) and Northeast show no significant trend but in other parts of country, the severity of drought has increased during the last 30 years.

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“…The mean annual precipitation for the study area ranges from 50 to 1000 mm (Sadeghi et al, 2002). Due to lack of full meteorological data for estimating the monthly ET o with the Penman-Monteith equation for most meteorological stations in the study area, the calibrated Blaney-Criddle equation could be used for estimating monthly ET o instead.…”

Section: Methodsmentioning

confidence: 99%

Monthly spatial calibration of Blaney–Criddle equation for calculating monthly ET_o in south of Iran

Fooladmand

Ahmadi

2008

Irrigation and Drainage

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Regional classification for dryland agriculture in southern Iran

Cited by 41 publications

References 6 publications

Spatial and temporal calibration of Hargreaves equation for calculating monthly ET_o based on Penman‐Monteith method

Spatial and temporal calibration of Hargreaves equation for calculating monthly ET_o based on Penman‐Monteith method

The survey of climatic drought trend in Iran

Monthly spatial calibration of Blaney–Criddle equation for calculating monthly ET_o in south of Iran

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Regional classification for dryland agriculture in southern Iran

Cited by 41 publications

References 6 publications

Spatial and temporal calibration of Hargreaves equation for calculating monthly ETo based on Penman‐Monteith method

Spatial and temporal calibration of Hargreaves equation for calculating monthly ETo based on Penman‐Monteith method

The survey of climatic drought trend in Iran

Monthly spatial calibration of Blaney–Criddle equation for calculating monthly ETo in south of Iran

Contact Info

Product

Resources

About

Spatial and temporal calibration of Hargreaves equation for calculating monthly ET_o based on Penman‐Monteith method

Spatial and temporal calibration of Hargreaves equation for calculating monthly ET_o based on Penman‐Monteith method

Monthly spatial calibration of Blaney–Criddle equation for calculating monthly ET_o in south of Iran