Delgado-Ramírez Gerardo, Bolaños-González Martín Alejandro, Quevedo-Nolasco Abel, López-Pérez Adolfo, Estrada-Ávalos Juan
Hydrosciences, Postgraduate College, Campus Montecillo, México-Texcoco Highway Km 36.5, Montecillo 56264, Mexico.
National Institute for Forest, Agriculture and Livestock Research (INIFAP), National Center for Disciplinary Research on Water, Soil, Plant and Atmosphere Relationships (CENID-RASPA), Right Bank Sacramento Channel Km 6.5, Gómez Palacio 35150, Mexico.
Sensors (Basel). 2023 Aug 7;23(15):7007. doi: 10.3390/s23157007.
Reference evapotranspiration (ET) is the first step in calculating crop irrigation demand, and numerous methods have been proposed to estimate this parameter. FAO-56 Penman-Monteith (PM) is the only standard method for defining and calculating ET. However, it requires radiation, air temperature, atmospheric humidity, and wind speed data, limiting its application in regions where these data are unavailable; therefore, new alternatives are required. This study compared the accuracy of ET calculated with the Blaney-Criddle (BC) and Hargreaves-Samani (HS) methods versus PM using information from an automated weather station (AWS) and the NASA-POWER platform (NP) for different periods. The information collected corresponds to Module XII of the Lagunera Region Irrigation District 017, a semi-arid region in the North of Mexico. The HS method underestimated the reference evapotranspiration (ET) by 5.5% compared to the PM method considering the total ET of the study period (26 February to 9 August 2021) and yielded the best fit in the different evaluation periods (daily, 5-day mean, and 5-day cumulative); the latter showed the best values of inferential parameters. The information about maximum and minimum temperatures from the NP platform was suitable for estimating ET using the HS equation. This data source is a suitable alternative, particularly in semi-arid regions with limited climatological data from weather stations.
参考作物蒸发蒸腾量（ET）是计算作物灌溉需求的第一步，人们已经提出了许多方法来估算这一参数。粮农组织-56彭曼-蒙特斯（PM）法是定义和计算ET的唯一标准方法。然而，它需要辐射、气温、大气湿度和风速数据，这限制了其在这些数据不可用地区的应用；因此，需要新的替代方法。本研究使用来自自动气象站（AWS）和美国国家航空航天局动力平台（NP）不同时期的信息，比较了用布莱尼-克里德尔（BC）法和哈格里夫斯-萨马尼（HS）法计算的ET与PM法计算的ET的准确性。收集到的信息对应于墨西哥北部半干旱地区拉古内拉地区灌溉区017的第十二模块。考虑到研究期（2021年2月26日至8月9日）的总ET，与PM法相比，HS法低估了参考作物蒸发蒸腾量（ET）5.5%，并且在不同评估期（日均值、5日均值和5日累计值）中拟合效果最佳；后者显示出最佳的推断参数值。来自NP平台的最高和最低温度信息适用于使用HS方程估算ET。该数据源是一个合适的替代方案，特别是在气象站气候数据有限的半干旱地区。
