引用方式: Zhu GF, Su YH, Li X, Zhang K, Li CB. Estimating actual evapotranspiration from an alpine grassland on Qinghai-Tibetan plateau using a two-source model and parameter uncertainty analysis by Bayesian approach. Journal of Hydrology, 2013, 476: 42-51, 10.1016/j.jhydrol.2012.10.006.
| 文献信息 | |
| 标题 | Estimating actual evapotranspiration from an alpine grassland on Qinghai-Tibetan plateau using a two-source model and parameter uncertainty analysis by Bayesian approach |
| 年份 | 2013 |
| 出版社 | Journal of Hydrology |
| 链接 | |
| 语言 | |
| DOI | 10.1016/j.jhydrol.2012.10.006 |
| 摘要 | Summary A Bayesian method was used to fit the Shuttleworth–Wallace model to half-hourly measurements of evapotranspiration (ET) with the eddy covariance technique from an alpine grassland on the Qinghai-Tibetan plateau during the main growing season in 2008, and probabilistically estimated its parameters and predication uncertainties using both dataset-by-dataset and multi-data procedures. This enabled us to reveal the seasonal variations of some physiology-related parameters and the impacts of constant parameters on the performances of the model. Results indicated that the S–W model using the posterior mean parameter values obtained by different procedures all successfully reproduced the observed responses in ET. However, the seasonal variations in the canopy conductance parameter (gmax) should be counted in long-term ET estimating. From simulated results, the daily mean partitioning [i.e. the ratio of the estimated daily soil evaporation (E) over total evapotranspiration (ET); E/ET] was relative low (0.02–0.07 with a mean of 0.04) for the alpine grassland when leaf area index (LAI) was more than 3 m2 m−2, and was closed related to LAI and vegetation condition. At the diurnal timescale, the canopy conductance was the main factor control the partitioning of ET. |
| 此文献未收录PDF(如何提交?) |
Copyright ©right; 2017 - 中国科学院西北生态环境资源研究院 - 兰州数云软件科技有限公司提供技术支持