Ai Zhipin, Wang Qinxue, Yang Yonghui, Manevski Kiril, Zhao Xin, Eer Deni
Center for Regional Environmental Research, National Institute for Environmental Studies, Tsukuba, 305-8506, Japan.
Key Laboratory of Agricultural Water Resources, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, 050021, China.
Sci Rep. 2017 Dec 19;7(1):17793. doi: 10.1038/s41598-017-17473-0.
Evaporation from land surfaces is a critical component of the Earth water cycle and of water management strategies. The complementary method originally proposed by Bouchet, which describes a linear relation between actual evaporation (E), potential evaporation (E) and apparent potential evaporation (E) based on routinely measured weather data, is one of the various methods for evaporation calculation. This study evaluated the reformulated version of the original method, as proposed by Brutsaert, for forest land cover in Japan. The new complementary method is nonlinear and based on boundary conditions with strictly physical considerations. The only unknown parameter (α ) was for the first time determined for various forest covers located from north to south across Japan. The values of α ranged from 0.94 to 1.10, with a mean value of 1.01. Furthermore, the calculated evaporation with the new method showed a good fit with the eddy-covariance measured values, with a determination coefficient of 0.78 and a mean bias of 4%. Evaluation results revealed that the new nonlinear complementary relation performs better than the original linear relation in describing the relationship between E/E and E/E, and also in depicting the asymmetry variation between E/E and E/E.
陆地表面的蒸发是地球水循环和水资源管理策略的关键组成部分。布谢最初提出的互补方法,基于常规测量的气象数据描述了实际蒸发量(E)、潜在蒸发量(E)和表观潜在蒸发量(E)之间的线性关系,是多种蒸发量计算方法之一。本研究评估了布鲁茨尔特提出的原始方法的改进版本,用于日本的森林覆盖区域。新的互补方法是非线性的,基于具有严格物理考量的边界条件。首次针对日本从北到南不同森林覆盖区域确定了唯一的未知参数(α)。α值范围为0.94至1.10,平均值为1.01。此外,用新方法计算的蒸发量与涡度协方差测量值拟合良好,决定系数为0.78,平均偏差为4%。评估结果表明,新的非线性互补关系在描述E/E与E/E之间的关系以及描绘E/E与E/E之间的不对称变化方面,比原始的线性关系表现更好。