Estimating evapotranspiration using METRIC model and Landsat data for better understandings of regional hydrology in the western Urmia Lake Basin

Estimating evapotranspiration using METRIC model and Landsat data for better understandings of regional hydrology in the western Urmia Lake Basin
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使用 METRIC 模型和 Landsat 数据估算蒸散量,以更好地了解乌尔米亚湖盆地西部的区域水文

DOI:
10.1016/j.agwat.2019.105805
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发表时间:
2019
影响因子:
6.7
通讯作者:
Masahiro Tasumi
Masahiro Tasumi
中科院分区:
农林科学1区
文献类型:
--
作者:
金平修祐;北辻政文;Masahiro Tasumi

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本研究估算了伊朗乌尔米亚湖盆地西部的蒸散量(ET),为实现区域可持续水管理提供高质量的时空蒸散量信息。采用“内化校准绘图蒸散发”(METRIC) ET 估算模型,利用 Landsat 8 卫星图像估算 2014 年至 2016 年期间的每月 ET。为了使模型适应当地环境,进行了一些改进。这些改进包括估计盐湖的蒸发量、通过修改热发射率来修正对城市表面温度的低估,以及修改 METRIC 中应用的次要假设。将使用 METRIC 获得的 ET 估算结果与使用 FAO-56 方法进行的 ET 独立估算进行比较,以评估估算的准确性。比较表明,两种类型的灌溉农业估算结果之间具有良好的相关性,这意味着该地区蒸散估算成功。非灌溉裸土田的蒸散估计容易被高估。本研究的新颖之处在于,这是该流域第一个具有100m时空分辨率和精度信息的ET数据。因此,估计程序和结果有望有助于更好地了解区域水文。这对于恢复乌尔米亚湖和实现该地区的可持续水资源管理都是必要的。
This study estimates the evapotranspiration (ET) from the western part of Urmia Lake Basin, Iran, to provide quality spatio-temporal evapotranspiration information for use in achieving regional sustainable water management. A “mapping evapotranspiration with internalized calibration” (METRIC) ET estimation model was adopted to estimate monthly ET for the period between 2014–2016 using Landsat 8 satellite imagery. Several refinements are made to adjust the model to the local environment. The refinements include estimating evaporation from the saline lake, correction of the underestimation of city surface temperature through the modification of thermal emissivity, as well as modifications of minor assumptions applied in METRIC. The estimation results for ET obtained using METRIC were compared with independent estimation of ET using the FAO-56 approach in order to assess the estimation accuracy. The comparison showed good correlation between the two types of estimation results for irrigated agriculture, implying successful estimation of ET in this region. ET estimated in non-irrigated bare soil fields was prone to overestimation. The novelty of this study lies in the fact that this is the first ET data for this basin with 100 m spatio-temporal resolution and accuracy information. Therefore, the estimation procedure and results are expected to contribute to a better understanding of the regional hydrology. This is necessary both for the restoration of Urmia Lake and for achieving sustainable water management in the region.
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