Estimation of Reference Evapotranspiration (ET0) for Gird Region of Madhya Pradesh

Y. P. Singh
{"title":"Estimation of Reference Evapotranspiration (ET0) for Gird Region of Madhya Pradesh","authors":"Y. P. Singh","doi":"10.18782/2320-7051.7765","DOIUrl":null,"url":null,"abstract":"The reference evapotranspiration (ET0) for three district in Madhya Pradesh have been estimated using three evapotranspiration based methods like Hargreaves Samani, Caprio, trabert and Makkink-Hansen under local conditions. Comparison was also made between the estimated ET0 by using different evapotranspiration based method and the observed ET0 by using FAO-56PM Method. Regression analysis revealed that estimated ET0 values were highly correlated with observed ET0 values. In addition, linear regression relationships between ET0 values estimated by the Penman monteith method and other methods were determined. The result of this study shows that the travert method can be indicate the best result compression to other method and this method could be used for the estimation of ET0 values in all district in the gird region of Madhya Pradesh. Keyword: Reference Evapotranspiration by FAO-56 Penman Monteith, other ET0 methods and Gird region. Research Article Cite this article: Singh, Y. P., Mittal, H.K., Singh, P.K., & Bhakar, S.R. (2019). Estimation of Reference Evapotranspiration (ET0) for Gird Region of Madhya Pradesh, Ind. J. Pure App. Biosci. 7(5), 487-492. doi: http://dx.doi.org/10.18782/2320-7051.7765 Singh et al. Ind. J. Pure App. Biosci. (2019) 7(5), 487-492 ISSN: 2582 – 2845 Copyright © Sept.-Oct., 2019; IJPAB 488 The estimation of reference evapotranspiration (ET0) involves calculating the potential evapotranspiration (ET) or the actual evapotranspiration (ET), and then applying a suitable crop coefficient (Kc). Potential ET is defined as the rate at which water would be removed from wet soil and plant surfaces expressed as the rate of latent heat transfer per unit area, or as a depth of water per unit time. ET0 is defined as the rate at which water would be removed from the soil and plant surfaces expressed as the rate of latent heat transfer per unit area, or as a depth of water per unit time evaporated and transpired from a reference crop. The use of ET0 for a specified crop surface has largely replaced the use of the more general potential crop ET. This is because of the ambiguities involved in the interpretation of potential ET. Also, the use of a reference crop ET permits a physically realistic characterization of the effect of the microclimate of a field on the evaporative transfer of water from the soilplant system to the atmospheric air layers overlying the field (Uright, 1996). Numerous scientists and specialists worldwide was developed many methods for estimating of reference evapotranspiration (ET0) over the last 50 years. These methods were subject to rigorous local calibration and proved to have limited global validity (Smith et al., 1996). Doorenbos & Pruitt (1977) adopted the concept ETc and adjusted several existing methods to yield identical ET0 estimates varying from complex energy balance techniques requiring detailed climatological data to simpler methods with limited data requirements. The accuracy of ET0 estimates depends primarily on the ability of the methods being used to describe the physical laws governing the processes and the accuracy of the meteorological and cropping data (Jensen et al., 1990). Since the existing methods of estimating ETc from meteorological data involve empirical relationships, some local or regional verification or calibration is advisable with any selected method. Tanner (1967) emphasized that any empirical equation for estimating ET0 needs to be calibrated, particularly in sub-tropic and semi-arid regions, because of the increased ETc due to the adjective energy from dry surroundings. A few studies have been conducted to calculate ET0 for some selected areas in Madhya Pradesh (Saeed 1986; Al-Omran and Shalaby 1992; Mohammad and Abo-Ghobar 1994;). The previous studies have concentrated on the central and eastern regions and the literature lacks the estimation of ET0 in the gird region of Madhya Pradesh, which is considered to be some of the main agricultural regions in the country. Accordingly, the objective of this study was to determine ET0 for four major locations namely, Ashok Nagar, Shivpuri and Bhind (sub-tropic condition) in the gird region of Madhya Pradesh using four different ET0 based methods. In addition, estimated ET0 for the different locations were compared with that estimated and observed. MATERIALS AND METHODS In this study to carry out, mean monthly climatological data, viz., maximum temperature (Tmax), minimum temperature (Tmin), mean relative humidity (RHmean), solar radiation (Sr) and wind speed (WS) were collected from global weather data site, Ashok Nagar, Bhind and Shivpuri District of Madhya, for the duration of seven eleven (2004-2014). Other parameters like geographic locations, viz., latitude and longitude, as can be seen from Table 1. Table 1: Details of the selected stations in study area District Longitude (E) Latitude (N) Altitude (m) Ashok Nagar 77°43' E 24°34' N 499 Bhind 78°48' E 26°34' N 159 Shivpuri 77°39' E 25°25' N 457 Singh et al. Ind. J. Pure App. Biosci. (2019) 7(5), 487-492 ISSN: 2582 – 2845 Copyright © Sept.-Oct., 2019; IJPAB 489 The availability of meteorological data is a major consideration in the selection of a method for calculating ET0. Selection of the appropriate method for a specific location is a difficult task because unique guidelines are not available for defining the method of application most likely to give the best estimates. The methods considered in this study include those ranging from temperature, radiation and mass transfer-based methods to the more data-intensive combination methods. The methods are (1) FAO-56 Penman monteith method; (2) Jensen-Haise (JH) method; (3) c a p r i o method (4) traver method (5) Hargreaves-samani (H-S) method for gird region climatic conditions. These methods were chosen for this study to estimate the ET0 for each district and also to make a comparison among them in order to select the most suitable method for each area. The following methods are given below: FAO-56 Penman Monteith method According to Allen et al. (1998), recommended form of FAO56-PM model consisting of aerodynamic and surface resistance terms is:","PeriodicalId":14249,"journal":{"name":"International Journal of Pure & Applied Bioscience","volume":"104 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Pure & Applied Bioscience","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18782/2320-7051.7765","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

The reference evapotranspiration (ET0) for three district in Madhya Pradesh have been estimated using three evapotranspiration based methods like Hargreaves Samani, Caprio, trabert and Makkink-Hansen under local conditions. Comparison was also made between the estimated ET0 by using different evapotranspiration based method and the observed ET0 by using FAO-56PM Method. Regression analysis revealed that estimated ET0 values were highly correlated with observed ET0 values. In addition, linear regression relationships between ET0 values estimated by the Penman monteith method and other methods were determined. The result of this study shows that the travert method can be indicate the best result compression to other method and this method could be used for the estimation of ET0 values in all district in the gird region of Madhya Pradesh. Keyword: Reference Evapotranspiration by FAO-56 Penman Monteith, other ET0 methods and Gird region. Research Article Cite this article: Singh, Y. P., Mittal, H.K., Singh, P.K., & Bhakar, S.R. (2019). Estimation of Reference Evapotranspiration (ET0) for Gird Region of Madhya Pradesh, Ind. J. Pure App. Biosci. 7(5), 487-492. doi: http://dx.doi.org/10.18782/2320-7051.7765 Singh et al. Ind. J. Pure App. Biosci. (2019) 7(5), 487-492 ISSN: 2582 – 2845 Copyright © Sept.-Oct., 2019; IJPAB 488 The estimation of reference evapotranspiration (ET0) involves calculating the potential evapotranspiration (ET) or the actual evapotranspiration (ET), and then applying a suitable crop coefficient (Kc). Potential ET is defined as the rate at which water would be removed from wet soil and plant surfaces expressed as the rate of latent heat transfer per unit area, or as a depth of water per unit time. ET0 is defined as the rate at which water would be removed from the soil and plant surfaces expressed as the rate of latent heat transfer per unit area, or as a depth of water per unit time evaporated and transpired from a reference crop. The use of ET0 for a specified crop surface has largely replaced the use of the more general potential crop ET. This is because of the ambiguities involved in the interpretation of potential ET. Also, the use of a reference crop ET permits a physically realistic characterization of the effect of the microclimate of a field on the evaporative transfer of water from the soilplant system to the atmospheric air layers overlying the field (Uright, 1996). Numerous scientists and specialists worldwide was developed many methods for estimating of reference evapotranspiration (ET0) over the last 50 years. These methods were subject to rigorous local calibration and proved to have limited global validity (Smith et al., 1996). Doorenbos & Pruitt (1977) adopted the concept ETc and adjusted several existing methods to yield identical ET0 estimates varying from complex energy balance techniques requiring detailed climatological data to simpler methods with limited data requirements. The accuracy of ET0 estimates depends primarily on the ability of the methods being used to describe the physical laws governing the processes and the accuracy of the meteorological and cropping data (Jensen et al., 1990). Since the existing methods of estimating ETc from meteorological data involve empirical relationships, some local or regional verification or calibration is advisable with any selected method. Tanner (1967) emphasized that any empirical equation for estimating ET0 needs to be calibrated, particularly in sub-tropic and semi-arid regions, because of the increased ETc due to the adjective energy from dry surroundings. A few studies have been conducted to calculate ET0 for some selected areas in Madhya Pradesh (Saeed 1986; Al-Omran and Shalaby 1992; Mohammad and Abo-Ghobar 1994;). The previous studies have concentrated on the central and eastern regions and the literature lacks the estimation of ET0 in the gird region of Madhya Pradesh, which is considered to be some of the main agricultural regions in the country. Accordingly, the objective of this study was to determine ET0 for four major locations namely, Ashok Nagar, Shivpuri and Bhind (sub-tropic condition) in the gird region of Madhya Pradesh using four different ET0 based methods. In addition, estimated ET0 for the different locations were compared with that estimated and observed. MATERIALS AND METHODS In this study to carry out, mean monthly climatological data, viz., maximum temperature (Tmax), minimum temperature (Tmin), mean relative humidity (RHmean), solar radiation (Sr) and wind speed (WS) were collected from global weather data site, Ashok Nagar, Bhind and Shivpuri District of Madhya, for the duration of seven eleven (2004-2014). Other parameters like geographic locations, viz., latitude and longitude, as can be seen from Table 1. Table 1: Details of the selected stations in study area District Longitude (E) Latitude (N) Altitude (m) Ashok Nagar 77°43' E 24°34' N 499 Bhind 78°48' E 26°34' N 159 Shivpuri 77°39' E 25°25' N 457 Singh et al. Ind. J. Pure App. Biosci. (2019) 7(5), 487-492 ISSN: 2582 – 2845 Copyright © Sept.-Oct., 2019; IJPAB 489 The availability of meteorological data is a major consideration in the selection of a method for calculating ET0. Selection of the appropriate method for a specific location is a difficult task because unique guidelines are not available for defining the method of application most likely to give the best estimates. The methods considered in this study include those ranging from temperature, radiation and mass transfer-based methods to the more data-intensive combination methods. The methods are (1) FAO-56 Penman monteith method; (2) Jensen-Haise (JH) method; (3) c a p r i o method (4) traver method (5) Hargreaves-samani (H-S) method for gird region climatic conditions. These methods were chosen for this study to estimate the ET0 for each district and also to make a comparison among them in order to select the most suitable method for each area. The following methods are given below: FAO-56 Penman Monteith method According to Allen et al. (1998), recommended form of FAO56-PM model consisting of aerodynamic and surface resistance terms is:
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中央邦网格区参考蒸散发(ET0)估算
利用Hargreaves Samani、Caprio、trabert和Makkink-Hansen三种基于蒸散发的方法在当地条件下估算了中央邦三个地区的参考蒸散发(ET0)。采用不同蒸散发方法估算的蒸散量与采用FAO-56PM方法观测到的蒸散量进行了比较。回归分析显示,估算ET0值与观测ET0值高度相关。此外,还确定了Penman monteith方法估算的ET0值与其他方法之间的线性回归关系。研究结果表明,该方法对其他方法的压缩效果最好,可用于中央邦网格地区所有地区的ET0估计。关键词:参考蒸散发FAO-56 Penman Monteith,其他ET0方法和网格区域。本文引用:Singh, yp ., Mittal, h.k., Singh, p.k., & Bhakar, S.R.(2019)。[j] .中央邦网格区参考蒸散发(ET0)估算[j] .应用生态学报,7(5),487-492。doi: http://dx.doi.org/10.18782/2320-7051.7765 Singh et al。J.纯应用。生物科学。(2019) 7(5), 487-492 ISSN: 2582 - 2845版权所有©, 2019;参考蒸散发(ET0)的估算包括计算潜在蒸散发(ET)或实际蒸散发(ET),然后应用合适的作物系数(Kc)。潜在蒸散发被定义为水分从潮湿土壤和植物表面流失的速率,以单位面积的潜热传递速率或单位时间的水深度表示。ET0的定义是水分从土壤和植物表面流失的速率,以单位面积的潜热传递速率表示,或以单位时间内从参考作物中蒸发和蒸腾的水深度表示。对特定作物表面的蒸散发值的使用已经在很大程度上取代了对更普遍的潜在作物蒸散发的使用。这是因为潜在蒸散发的解释存在模糊性。此外,使用参考作物蒸散发可以从物理上真实地描述农田小气候对土壤系统向覆盖在农田上的大气气层的水分蒸发转移的影响(Uright, 1996)。在过去的50年里,世界上许多科学家和专家开发了许多估算参考蒸散发(ET0)的方法。这些方法需要经过严格的局部校准,并被证明具有有限的全局有效性(Smith et al., 1996)。Doorenbos & Pruitt(1977)采用ETc概念,并调整了几种现有方法,从需要详细气候数据的复杂能量平衡技术到数据要求有限的简单方法,得出了相同的ET0估计。ET0估算的准确性主要取决于所使用的方法描述控制过程的物理规律的能力以及气象和种植数据的准确性(Jensen等,1990年)。由于现有的利用气象资料估算ETc的方法涉及经验关系,因此对于任何选择的方法,都建议进行一些局部或区域的验证或校准。Tanner(1967)强调,任何估算ET0的经验方程都需要校准,特别是在亚热带和半干旱地区,因为来自干燥环境的形容词能量增加了ETc。已经进行了一些研究来计算中央邦一些选定地区的蒸散发值(Saeed 1986;Al-Omran和Shalaby 1992;Mohammad and Abo-Ghobar 1994;)。以往的研究主要集中在中东部地区,文献缺乏对被认为是印度主要农业区的中央邦中部地区的ET0估算。因此,本研究的目的是利用四种不同的基于ET0的方法确定中央邦网格地区四个主要地点即Ashok Nagar、Shivpuri和bind(亚热带条件)的ET0。此外,将不同地点的估算ET0与估算值和观测值进行了比较。材料与方法本研究收集了2004-2014年中央邦Ashok Nagar、bind和Shivpuri地区全球气象数据站点7月11日(2004-2014年)的月平均气候数据,即最高温度(Tmax)、最低温度(Tmin)、平均相对湿度(RHmean)、太阳辐射(Sr)和风速(WS)。其他参数如地理位置,即纬度和经度,如表1所示。 表1:研究区选定站点的详细情况地区经度(E)纬度(N)海拔(m) Ashok Nagar 77°43′E 24°34′N 499 bind 78°48′E 26°34′N 159 Shivpuri 77°39′E 25°25′N 457 Singh等。J.纯应用。生物科学。(2019) 7(5), 487-492 ISSN: 2582 - 2845版权所有©, 2019;在选择计算ET0的方法时,气象资料的可得性是一个主要考虑因素。为特定位置选择适当的方法是一项困难的任务,因为没有唯一的指导方针可用于定义最有可能给出最佳估计的应用方法。本研究考虑的方法包括从基于温度、辐射和质量传递的方法到更数据密集的组合方法。方法有:(1)FAO-56 Penman monteith法;(2) Jensen-Haise (JH)法;(3) c a p r io法(4)traver法(5)网区气候条件Hargreaves-samani (H-S)法。本研究选择这些方法来估算各地区的蒸散量,并对它们进行比较,以选择最适合各地区的方法。FAO-56 Penman Monteith method根据Allen et al.(1998),由气动项和表面阻力项组成的FAO56-PM模型的推荐形式为:
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