Estimation of evapotranspiration using the crop canopy temperature at field to regional scales in large irrigation district
Estimation of evapotranspiration using the crop canopy temperature at field to regional scales in large irrigation district
复制标题
利用田间作物冠层温度估算大灌区区域尺度蒸散量
DOI：
10.1016/j.agrformet.2019.02.024
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发表时间：
2019-05
影响因子：
6.2
通讯作者：
Peng Zhigong
中科院分区：
文献类型：
--
作者：
Huang Lingxu;Cai Jiabing;Zhang Baozhong;Chen He;Bai Liangliang;Wei Zheng;Peng Zhigong
蒸散量是水文循环的重要组成部分，准确估算蒸散量是水资源管理的基础。本研究于2015年至2016年在中国内蒙古解放闸灌区进行了田间试验。为了利用正午冠层气温差（Tc-Ta）和净辐射（Rnd）估算作物日蒸散量（ETd），利用玉米和向日葵田的观测资料对S-I模型（塞甘和Itier，1983）进行了校正和验证。利用冠层温度气象监测系统（CTMS）对6 ~ 8月的冠层温度和气象因子进行了连续、同步的监测。2015年6月至8月10：00至16：00，通过（ETd-Rnd）和（Tc- Ta）之间的线性回归分析拟合S-I模型的参数a和bin。根据a和b的值，利用S-I模型（简称ETM）估算了2016年10：00 ~ 16：00的日蒸散量，各统计参数均得到了较好的结果。S-I模型在田间规模的玉米和向日葵生长期间的ETd预测方面表现相当好。利用增强型时空自适应反射率融合模型（ESTARFM）对2015年和2016年6月至8月玉米和向日葵主生长期的高空间分辨率Landsat数据和高时间分辨率的MODIS影像进行融合，生成并融合每日地表温度（30 m）数据。融合LST表现出良好的性能相比，使用CTMS系统在原位观测冠层温度。然后，利用验证的S-I模型估算了2015年和2016年玉米和向日葵主生长期11：00的日尺度场ET（30 m）。结果表明，S-I模型估算的蒸散量与区域水量平衡结果基本一致，在解放闸灌区黄集、清辉、乌拉和杨家河4个断面，两年平均相对误差（RE）分别为7.0%、5.0%、9.4%和7.3%（绝对值）。这一结果表明，S-I模型作为一种相对简便的方法，可以应用于区域尺度蒸散的估算。
Evapotranspiration (ET) is a major component of the hydrologic cycle, and its accurate estimation is essential in water resource management. In this study, field experiments were performed from 2015 to 2016 in the Jiefangzha Irrigation Area, Inner Mongolia, in China. To estimate the daily crop ET (ETd) using the midday canopy and air temperature difference (Tc-Ta) and net radiation (Rnd), the S-I model (Seguin and Itier, 1983) was calibrated and validated based on observations from maize and sunflower fields. The canopy temperature and meteorological factors were monitored continuously and synchronously from June to August with a Canopy Temperature and Meteorology Monitoring System (CTMS). Parametersaandbin the S-I model were fitted at 10:00 to 16:00 by linear regression analysis between (ETd- Rnd) and (Tc- Ta), from June to August 2015. Based on the values ofaandb, the daily ET can be estimated using the S-I model (named ETM) from 10:00 to 16:00 in 2016, which provided good results for all the statistical parameters. The S-I model has performed reasonably well in predicting the ETdduring the maize and sunflower growth period at the field scale. The Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM) was employed to produce and fuse daily Land Surface Temperature (LST) (30 m) data by integrating high-spatial Landsat data and high-temporal MODIS images during the primary growing period of maize and sunflowers from June to August in 2015 and 2016. The fused LSTs exhibited good performance compared with the canopy temperature observed using the CTMS system in situ. Afterwards, the daily scale-field ET (30 m) was estimated by using the validated S-I model during the primary growing periods for maize and sunflowers at 11:00 in 2015 and 2016. The results showed that the estimated values of ET from the S-I model were consistent with the results for the regional water balance, with average relative error (RE) values of 7.0%, 5.0%, 9.4% and 7.3% (absolute value) in two years, in the Huangji, Qinghui, Wula and Yangjiahe sections of the Jiefangzha Irrigation Area, respectively. This finding indicates that as a relatively simple and convenient method, the S-I model could be applied to estimate the ET at a regional scale.
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影响因子：
6.2
作者：
O. Taconet;A. Olioso;M. B. Mehrez;N. Brisson
通讯作者：
O. Taconet;A. Olioso;M. B. Mehrez;N. Brisson
影响因子：
--
作者：
Li Ze-min
通讯作者：
Li Ze-min
DOI：
10.1016/j.proenv.2013.06.006
发表时间：
2013
期刊：
Procedia environmental sciences
影响因子：
--
作者：
Martha C. Anderson;C. Cammalleri;C. Hain;J. Otkin;X. Zhan;W. Kustas
通讯作者：
Martha C. Anderson;C. Cammalleri;C. Hain;J. Otkin;X. Zhan;W. Kustas
影响因子：
3.4
作者：
B. Séguin;B. Itier
通讯作者：
B. Séguin;B. Itier
影响因子：
13.5
作者：
I. Sandholt;H. S. Andersen
通讯作者：
I. Sandholt;H. S. Andersen