Parametric expressions for the adjusted Hargreaves coefficient in Eastern Spain

JOURNAL OF HYDROLOGY

卷:529

Article

Marti, Pau^1,4  Zarzo, Manuel²  Vanderlinden, Karl³  Girona, Joan⁴ 

[1] Univ Politecn Valencia, Dept Engn Rural & Agroalimentaria, E-46022 Valencia, Spain

[2] Univ Politecn Valencia, Dept Estadist & Invest Operat Aplicades & Qualita, E-46022 Valencia, Spain

[3] Ctr Las Torres Tomejil, IFAPA, Seville 41200, Spain

[4] IRTA, Programa Us Eficient Aigua, Lleida 25003, Spain

关键词: Reference evapotranspiration;    Hargreaves equation;    Temperature-based;    Limited inputs;   

DOI  :  10.1016/j.jhydrol.2015.07.054

来源: Elsevier

【 摘 要 】

The application of simple empirical equations for estimating reference evapotranspiration (ET0) is the only alternative in many cases to robust approaches with high input requirements, especially at the local scale. In particular, temperature-based approaches present a high potential applicability, among others, because temperature might explain a high amount of ET0 variability, and also because it can be measured easily and is one of the most available climatic inputs. One of the most well-known temperature-based approaches, the Hargreaves (HG) equation, requires a preliminary local calibration that is usually performed through an adjustment of the HG coefficient (AHC). Nevertheless, these calibrations are site-specific, and cannot be extrapolated to other locations. So, they become useless in many situations, because they are derived from already available benchmarks based on more robust methods, which will be applied in practice. Therefore, the development of accurate equations for estimating AHC at local scale becomes a relevant task. This paper analyses the performance of calibrated and non-calibrated HG equations at 30 stations in Eastern Spain at daily, weekly, fortnightly and monthly scales. Moreover, multiple linear regression was applied for estimating AHC based on different inputs, and the resulting equations yielded higher performance accuracy than the non-calibrated HG estimates. The approach relying on the ratio mean temperature to temperature range did not provide suitable AHC estimations, and was highly improved by splitting it into two independent predictors. Temperature-based equations were improved by incorporating geographical inputs. Finally, the model relying on temperature and geographic inputs was further improved by incorporating wind speed, even just with simple qualitative information about wind category (e.g. poorly vs. highly windy). The accuracy of the calibrated and non-calibrated HG estimates increased for longer time steps (daily < weekly < fortnightly < monthly), although with a decreasing accuracy improvement rate. The variability of goodness-of-fit between AHC models was translated into lower variability of accuracy between the corresponding HG calibrated ET0 estimates, because a single AHC was applied per station. The AHC fluctuations throughout the year suggest the convenience of using monthly or, at least, seasonal models. (C) 2015 Elsevier B.V. All rights reserved.

【 授权许可】

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