Yang Liangyan, Li Jianfeng, Sun Zenghui, Liu Jinbao, Yang Yuanyuan, Li Tong
Shaanxi Provincial Land Engineering Construction Group Co., Ltd, Xi'an, Shaanxi, China.
Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, Shaanxi, China.
PLoS One. 2022 Mar 15;17(3):e0265138. doi: 10.1371/journal.pone.0265138. eCollection 2022.
Evapotranspiration (ET) plays a crucial role in hydrological and energy cycles, as well as in the assessments of water resources and irrigation demands. On a regional scale, particularly in the agro-pastoral ecotone, clarification of the distribution of surface ET and its influencing factors is critical for the rational use of water resources, restoration of the ecological environment, and protection of ecological water sources. The SEBAL model was used to invert the regional ET based on Landsat8 images in the agro-pastoral ecotone of northwest China. The results were indirectly verified by monitoring data from meteorological stations. The correlation between ET and surface parameters was analyzed. Thus, the main factors that affect the surface ET were identified. The results show that the SEBAL model determines an accurate inversion, with a correlation coefficient of 0.81 and an average root mean square error of 0.9 mm/d, which is highly suitable for research on water resources. The correlation coefficients of normalized vegetation index, surface temperature, land surface albedo, net radiation flux with daily ET were 0.5830, 0.8425, 0.3428 and 0.9111, respectively. The normalized vegetation index and the net radiation flux positively correlated with the daily ET, while the surface temperature and land surface albedo negatively correlated with the daily ET. The correlation from strong to weak is the net radiation flux > surface temperature > normalized vegetation index > surface albedo. In terms of spatial distribution, the daily ET of water was the highest, followed by woodland, wetland, cropland, built-up land, shrub land, grassland and bare land. However, the SEBAL model overestimates the inversion of daily ET of built-up land.
蒸散(ET)在水文循环和能量循环以及水资源评估和灌溉需求评估中起着至关重要的作用。在区域尺度上,特别是在农牧交错带,明确地表蒸散的分布及其影响因素对于水资源的合理利用、生态环境的恢复以及生态水源的保护至关重要。利用SEBAL模型基于中国西北农牧交错带的Landsat8影像反演区域蒸散。结果通过气象站的监测数据进行间接验证。分析了蒸散与地表参数之间的相关性。从而确定了影响地表蒸散的主要因素。结果表明,SEBAL模型反演精度较高,相关系数为0.81,平均均方根误差为0.9毫米/天,非常适合水资源研究。归一化植被指数、地表温度、地表反照率、净辐射通量与日蒸散的相关系数分别为0.5830、0.8425、0.3428和0.9111。归一化植被指数和净辐射通量与日蒸散呈正相关,而地表温度和地表反照率与日蒸散呈负相关。相关性从强到弱依次为净辐射通量>地表温度>归一化植被指数>地表反照率。在空间分布上,水体的日蒸散最高,其次是林地、湿地、农田、建设用地、灌木林地、草地和裸地。然而,SEBAL模型高估了建设用地日蒸散的反演结果。