论文
论文题目: An improved complementary relationship for estimating evapotranspiration attributed to climate change and revegetation in the Loess Plateau, China
第一作者: Li Tiansheng, Xia Jun, Zhang Lu, She Dunxian, Wang Gangsheng etc.
联系作者:
发表年度: 2021
摘  要:
英文摘要: Evapotranspiration (ET) is a key component in terrestrial climate and vegetation interactions. A generalized complementary relationship proposed by Brutsaert (2015); Brutsaert et al. (2020) has been shown to be a powerful tool for ET estimation. As the single parameter in the generalized complementary relationship, it is generally accepted that alpha(c) has high spatial variability and is closely correlated to the land-surface conditions. However, understanding of the temporal variability in alpha(c) is also important in a changing environment. In this study, we investigated the impacts of climate change and revegetation on ET by establishing the relationship between alpha(c) and the climatic-vegetation factors in 14 catchments of the Loess Plateau. The results showed that alpha(c) presented both spatial and temporal variability, where the aridity index (AI) and the average Normalized Difference Vegetation Index (NDVI) during the growing season are two dominant factors that control the variability in alpha(c). Furthermore, combing the generalized complementary relationship and the empirical model of alpha(c) proposed in this study, the impacts of climate change and revegetation on the ET increase were quantified in the Loess Plateau. The results show that climate change (mainly expressed by an increase in precipitation) contributed the most to the ET increase (approximately 68% on average), whereas revegetation (quantified by the NDVI increase) also played a dominant role (approximately 32% on average) in the ET increase, which suggests that revegetation planning management should pay more attention to the increased water consumption by evapotranspiration in the sustainable economic and ecological development of the Loess Plateau.
刊物名称: JOURNAL OF HYDROLOGY
全文链接:
论文类别: SCI