State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; College of Resources Science and Technology, Beijing Normal University, Beijing 100875, China.
State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China; College of Resources Science and Technology, Beijing Normal University, Beijing 100875, China.
Sci Total Environ. 2015 Sep 15;527-528:26-37. doi: 10.1016/j.scitotenv.2015.04.105. Epub 2015 May 14.
The use of isotopic tracers is an effective approach for characterizing the moisture sources of precipitation in cold and arid regions, especially in the Tibetan Plateau (TP), an area of sparse human habitation with few weather and hydrological stations. This study investigated stable isotope characteristics of precipitation in the Qinghai Lake Basin, analyzed moisture sources using data sets from NCEP-NCAR, and calculated vapor contributions from lake evaporation to the precipitation in the basin using a two-component mixing model. Results showed that the Local Meteoric Water Line (LMWL) was defined as δ(2)H=7.86 δ(18)O+15.01, with a slope of less than 8, indicating that some non-equilibrium evaporation processes occurred when the drops fell below the cloud base. Temperature effects controlled δ(18)O and δ(2)H in precipitation in the basin, with high values in summer season and low values in winter season. Moisture in the basin was derived predominantly from the Southeast Asian Monsoon (SEAM) from June to August and the Westerly Circulation (WC) from September through May. Meanwhile, the transition in atmospheric circulation took place in June and September. The SEAM strengthened gradually, while the WC weakened gradually in June, and inversely in September. However, the Southwest Asian Monsoon (SWAM) did not reach the Qinghai Lake Basin due to the barrier posed by Tanggula Mountain. High d-excess (>10 ‰) and significant altitude and lake effects of δ(18)O in precipitation suggested that the vapor evaporated from Qinghai Lake, strongly influenced annual precipitation, and affected the regional water cycle in the basin distinctly. The monthly contribution of lake evaporation to basin precipitation ranged from 3.03% to 37.93%, with an annual contribution of 23.42% or 90.54 mm, the majority of which occurred in the summer season. The findings demonstrate that the contribution of evaporation from lakes to atmospheric vapor is fundamental to water cycling on the TP.
利用同位素示踪剂来描述冷旱区降水的水汽来源是一种有效的方法,尤其是在青藏高原(TP),由于人口稀少,气象和水文站较少,这种方法尤为适用。本研究调查了青海湖流域降水的稳定同位素特征,利用 NCEP-NCAR 数据集分析水汽来源,并使用双组分混合模型计算了湖泊蒸发对流域降水的水汽贡献。结果表明,当地大气降水线(LMWL)定义为 δ(2)H=7.86 δ(18)O+15.01,斜率小于 8,表明当水滴下降到云底以下时,发生了一些非平衡蒸发过程。温度效应对流域降水的 δ(18)O 和 δ(2)H 起控制作用,夏季值较高,冬季值较低。流域水汽主要来源于 6 月至 8 月的东南亚季风(SEAM)和 9 月至 5 月的西风环流(WC)。同时,大气环流的转变发生在 6 月和 9 月。6 月 SEAM 逐渐增强,WC 逐渐减弱,而 9 月则相反。然而,由于唐古拉山的阻隔,西南季风(SWAM)并未到达青海湖流域。高 d-过剩值(>10 ‰)和降水 δ(18)O 的显著海拔和湖泊效应表明,来自青海湖的蒸发水汽强烈影响了年降水量,明显影响了流域的区域水循环。湖泊蒸发对流域降水的月贡献范围为 3.03%至 37.93%,年贡献为 23.42%或 90.54 毫米,主要发生在夏季。研究结果表明,湖泊蒸发对大气水汽的贡献是青藏高原水循环的基础。