Chang Yaping, Wang Jie, Qin Dahe, Ding Yongjian, Zhao Qiudong, Liu Fengjing, Zhang Shiqiang
State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China.
University of Chinese Academy of Sciences, Beijing, China.
PLoS One. 2017 Dec 13;12(12):e0189059. doi: 10.1371/journal.pone.0189059. eCollection 2017.
Estimation of evapotranspiration (ET) for alpine meadow areas in the Tibetan Plateau (TP) is essential for water resource management. However, observation data has been limited due to the extreme climates and complex terrain of this region. To address these issues, four representative methods, Penman-Monteith (PM), Priestley-Taylor (PT), Hargreaves-Samani (HS), and Mahringer (MG) methods, were adopted to estimate ET, which were then compared with ET measured using Eddy Covariance (EC) for five alpine meadow sites during the growing seasons from 2010 to 2014. And each site was measured for one growing season during this period. The results demonstrate that the PT method outperformed at all sites with a coefficient of determination (R2) ranging from 0.76 to 0.94 and root mean square error (RMSE) ranging from 0.41 to 0.62 mm d-1. The PM method showed better performance than HS and MG methods, and the HS method produced relatively acceptable results with higher R2 (0.46) and lower RMSE (0.89 mm d-1) compared to MG method with R2 of 0.16 and RMSE of 1.62 mm d-1, while MG underestimated ET at all alpine meadow sites. Therefore, the PT method, being the simpler approach and less data dependent, is recommended to estimate ET for alpine meadow areas in the Tibetan Plateau. The PM method produced reliable results when available data were sufficient, and the HS method proved to be a complementary method when variables were insufficient. On the contrary, the MG method always underestimated ET and is, thus, not suitable for alpine meadows. These results provide a basis for estimating ET on the Tibetan Plateau for annual data collection, analysis, and future studies.
估算青藏高原高寒草甸地区的蒸散量(ET)对于水资源管理至关重要。然而,由于该地区极端的气候和复杂的地形,观测数据一直有限。为解决这些问题,采用了四种代表性方法,即彭曼-蒙特斯(PM)法、普里斯特利-泰勒(PT)法、哈格里夫斯-萨马尼(HS)法和马林格(MG)法来估算ET,然后将其与2010年至2014年生长季期间五个高寒草甸站点使用涡度协方差(EC)测量的ET进行比较。在此期间,每个站点在一个生长季进行测量。结果表明,PT法在所有站点表现最佳,决定系数(R2)范围为0.76至0.94,均方根误差(RMSE)范围为0.41至0.62毫米/天。PM法表现优于HS法和MG法,与R2为0.16、RMSE为1.62毫米/天的MG法相比,HS法产生了相对可接受的结果,R2较高(0.46),RMSE较低(0.89毫米/天),而MG法在所有高寒草甸站点均低估了ET。因此,PT法作为更简单且对数据依赖较少的方法,推荐用于估算青藏高原高寒草甸地区的ET。当可用数据充足时,PM法产生可靠结果,当变量不足时,HS法被证明是一种补充方法。相反,MG法总是低估ET,并因此不适用于高寒草甸。这些结果为青藏高原年度数据收集、分析及未来研究中ET的估算提供了依据。