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利用墨西哥锡那罗亚州北部一个灌溉区的本地数据,通过METRIC模型和EEFlux估算的实际蒸散量值的对比分析。

Comparative analysis of actual evapotranspiration values estimated by METRIC model using LOCAL data and EEFlux for an irrigated area in Northern Sinaloa, Mexico.

作者信息

Vázquez-Rodríguez Braulio Antonio, Ontiveros-Capurata Ronald Ernesto, González-Sánchez Alberto, Ruíz-Álvarez Osías

机构信息

Postgraduate in Water Science and Technology, Mexican Institute of Water Technology (IMTA), Blvd. Paseo Cuauhnáhuac 8532, Jiutepec, 62550, Morelos, Mexico.

CONAHCYT, Mexican Institute of Water Technology (IMTA), Blvd. Paseo Cuauhnáhuac 8532, Jiutepec, 62550, Morelos, Mexico.

出版信息

Heliyon. 2024 Jul 20;10(15):e34767. doi: 10.1016/j.heliyon.2024.e34767. eCollection 2024 Aug 15.

Abstract

Landsat images combined with the METRIC model have been used in applications such as EEFlux to estimate actual evapotranspiration ( ) in irrigated areas, with uncertainty as to whether the results are sufficiently accurate at local scales. This work compares temporally and spatially estimates using Landsat imagery and the METRIC model with LOCAL measured weather data and EEFlux for an irrigated area in northern Sinaloa, Mexico, from 1995 to 2018. A regression analysis and error metrics such as coefficient of determination (R), mean absolute error (MAE), root mean square error (RMSE) and slope were used to compare both models. The temporal analysis results confirm that differences are closely related to crop growth and that the daily mean absolute error was 1.17 mm/day. Spatial analysis showed that when using only cropland pixels without non-cropland pixels in EEFlux, the R increases from 0.36 to 0.73, and the RMSE decreases from 2.52 to 1.98 mm/day. Therefore, EEFlux should be limited to cropland areas, and it is suggested to exclude Landsat images close to the planting and harvesting season to reduce the differences.

摘要

陆地卫星图像与METRIC模型相结合已被用于诸如EEFlux等应用中,以估算灌溉区域的实际蒸散量( ),但在局部尺度上结果是否足够准确仍存在不确定性。这项工作对1995年至2018年墨西哥锡那罗亚州北部一个灌溉区域,使用陆地卫星图像和METRIC模型进行的时空估算与当地实测气象数据及EEFlux进行了比较。采用回归分析以及诸如决定系数(R)、平均绝对误差(MAE)、均方根误差(RMSE)和斜率等误差指标来比较这两种模型。时间分析结果证实, 差异与作物生长密切相关,日平均绝对误差为1.17毫米/天。空间分析表明,在EEFlux中仅使用农田像素而不使用非农田像素时,R从0.36增加到0.73,RMSE从2.52降低到1.98毫米/天。因此,EEFlux应仅限于农田区域,并且建议排除接近种植和收获季节的陆地卫星图像以减少差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/629f/11639429/1b6b0489f4e4/gr001.jpg

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