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An Approach for Estimation of Evapotranspiration by Standardizing Parsimonious Method

机译:规范解析法则估算蒸散的方法

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Evapotranspiration (ET) is one of the important components of the hydrological cycle which is essential for sustainable water resource management and ecohydrological studies. Accurate estimation of ET is a crucial task in data-scarce regions due to limited meteorological variables. There exist a number of indirect methods among which the standard method for computing ET is FAO-56-Penman-Monteith (PM) method. However, due to paucity of flux data such as the components of net radiation, relative humidity, vapour pressure, and wind speed in many parts of the world, the use of standard benchmark method is limited. This limitation provides the widespread acceptance of the method which uses fewer variables and can give an accurate estimation of ET for water resource management. In this study, we have developed a framework to standardize the Hargreaves-based ET in the Kangsabati River basin. We utilize the weather datasets from six stations, namely Purulia, Bankura, Mohanpur, Jhargram, Kharagpur, and Midnapore to apply the ET standardization method. We have compared both the raw and corrected ET from Hargreaves with FAO-56-PM ET prior and after correction by using harmonization method. Performance evaluation of harmonization technique is done using statistical and graphical indicators for the duration of 2006-2010. It is observed that Purulia (r = 0.83 and d = 0.80) and Mohanpur (r = 0.85 and d = 0.87) stations are almost standardized appropriately on daily scale. Further, the highest r and R-2 was obtained for Mohanpur station (r = 0.972; d = 0.940), while least for Jhargram station (r = 0.961; d = 0.741) at monthly scale. Overall, this approach can be used to provide the utility in data-scarce conditions irrespective of agro-climatic conditions.
机译:Evapotranspiration(et)是水文循环的重要组成部分之一,这对于可持续水资源管理和生态学研究至关重要。由于有限的气象变量,ET的准确估计是数据稀缺区域中的一个重要任务。存在许多间接方法,其中计算ET的标准方法是FAO-56-Penman-Monteith(PM)方法。然而,由于诸如净辐射的组件的助焊剂数据,相对湿度,蒸汽压力和风速在世界的许多地区,使用标准基准方法是有限的。该限制提供了对使用较少变量的方法的广泛接受,可以准确估计ET进行水资源管理。在这项研究中,我们制定了一个框架,以标准化基于Hargreaves的ET在Kangsabati River河流域。我们利用来自六个站的天气数据集,即纯粹的Purulia,Bankura,Mohanpur,jhargram,Kharagpur和Midnapore来应用ET标准化方法。通过使用协调方法,我们将RAW和RECTORATED等与FAO-56-PM等进行了粮农组织-56-PM等。统一技术的性能评估是使用统计和图形指标进行2006 - 2010年的持续时间。观察到嘌呤(R = 0.83和D = 0.80)和MOHANPUR(R = 0.85和D = 0.87)站几乎在日常规模上适当地标准化。此外,为Mohanpur站(R = 0.972; d = 0.940)获得最高的R和R-2,而每月比例至少适用于jargram站(r = 0.961; d = 0.741)。总的来说,这种方法可用于提供数据稀缺条件的效用,而不管农业气候条件如何。

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