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Spatial estimation of reference evapotranspiration in Andalusia, Spain

机译:西班牙安达卢西亚参考蒸散量的空间估算

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Knowledge of the spatial and temporal distribution of reference crop evapotranspiration (ET0) is of interest for regional water resources management, especially in areas of the world where fine-tuning of agricultural water demands over large areas is required. This study provides a strategy for mapping ET0 in regions with low meteorological data availability. For Andalusia, Spain, it involves estimating ET0 from temperature data using a locally calibrated version of the Hargreaves equation and the application of geostatistical interpolation techniques that take into account elevation as secondary information. Average annual ET0 at 191 observatories (with elevation between 0 and 1260 m) ranged from 954 to 1460 mm, with an average of 1283 mm, a standard deviation of 99 mm, and a correlation coefficient with elevation of -0.86. Simple kriging with varying local means (SKlm) and kriging with an external drift (KED)-two methods that take into account elevation as secondary information-increased spatial model efficiency by 30% as compared to ordinary kriging. SKlm was used for mapping ET0 since it better reproduced the descriptive statistics of the point data and yielded slightly smaller root-mean-squared estimation errors than KED. The spatial correlation of annual and monthly ET0 was well structured and anisotropic. Short-range variability, for separation distances up to 20-40 km, showed a strong linear increase with distance while long-range variability, up to 130-250 km, increased more gently with distance. The results of this structural analysis are relevant for the spatial optimization of a recently installed automated ET0 observation network, while obtained maps constitute a valuable tool for regional water resources evaluation, planning, and management and contribute to optimizing water use in local irrigated agriculture.
机译:了解参考作物的蒸散量(ET0)的时空分布对于区域水资源管理尤为重要,特别是在需要对大面积农业用水需求进行微调的世界地区。这项研究提供了一种在气象数据可用性较低的地区绘制ET0的策略。对于西班牙的安达卢西亚,它涉及使用Hargreaves方程的本地校准版本以及考虑到海拔作为第二信息的地统计插值技术的应用,根据温度数据估算ET0。 191个观测站(海拔在0至1260 m之间)的年平均ET0在954至1460 mm之间,平均值为1283 mm,标准偏差为99 mm,相关系数与海拔-0.86有关。使用局部变量(SKlm)进行简单克里金法和使用外部漂移(KED)进行克里金法-两种方法都将高程作为辅助信息,与普通克里金法相比,空间模型效率提高了30%。 SKlm用于映射ET0,因为它可以更好地重现点数据的描述统计量,并且产生的均方根估计误差比KED略小。年度和每月ET0的空间相关性结构良好且各向异性。对于分隔距离达20-40 km的短距离变异性,显示出随着距离的强烈线性增加,而长达130-250 km的远距离变异性,则随着距离的增加而逐渐增大。这种结构分析的结果与最近安装的自动ET0观测网络的空间优化有关,而获得的地图则构成了区域水资源评估,规划和管理的宝贵工具,并有助于优化当地灌溉农业的用水。

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