期刊
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
卷 32, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.ejrh.2020.100759
关键词
Hydrological computational units; Montane altitudinal zones; Climate change; Alpine watersheds; Qinghai-Tibet Plateau
资金
- National Natural Science Foundation of China [51879276, 91547209, 52022110]
- Second Tibetan Plateau Scientific Expedition and Research Program [2019QZKK0207]
- National Key Research and Development Project [2016YFA0601503]
- Research Fund of the State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin [SKL2018ZY03]
Study region: The Nagqu River Watershed in the Qinghai Tibet Plateau. Study focus: A computational unit is the basic spatial unit employed in distributed hydrological models (DHMs), which combines the spatiotemporal distributions of meteorological variables and physical parameters denoted within a region to reveal the characteristics affecting the water cycle of watersheds. However, the current methods developed for spatially divided regions into computational units fail to consider the physical meaning and impact of climate change in montane altitudinal zones (MAZs), which significantly affects alpine watersheds. This study proposes a method for assigning the computational units of alpine DHMs according to one-period MAZ that explicitly account for physical meaning and climate change. New hydrological insights for the region: The benefits of the proposed altitudinal discretization method are verified by applying it to construct a DHM based on the water and energy transfer processes in large river basins (WEP-L) models. The results obtained using the WEP-L, SWAT model and the new regional division method (denoted as the WEP-C model) that applies the proposed altitudinal discretization method are compared. The results demonstrate that the simulation accuracy of the daily and monthly streamflows and daily soil moisture from the alpine watershed is improved by the use of the proposed altitudinal discretization method, which provide guidance for further DHM development and can be applied to other hydrological models.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据