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Seasonal characteristics of δD and δ18O in precipitation and its water vapor sources in the Xiaolangdi Reservoir area of Yellow River, China.

TIAN Chao1,2, MENG Ping1,2, ZHANG Jin-song1,2, SUN Shou-jia1,2, HE Chun-xia1,2, JIA Chang-rong3, LI Jian-zhong3   

  1. (1Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China; 2Collaborative Innovation Center for Sustainable Forestry in Southern China,  Nanjing Forestry University, Nanjing 210037, China; 3Dagouhe National Forest Farm, Jiyuan 454650, Henan, China)
  • Online:2015-12-18 Published:2015-12-18

Abstract: The seasonal characteristics of δD and δ18O in precipitation and the influence factors were studied in the Xiaolangdi Reservoir area at the eastern monsoon region of China. The precipitation samples and the corresponding meteorological data were collected between April and October from the year 2011 to 2014. The local meteoric water lines (LMWL) of different seasons were established, and the water vapor sources in different seasons were investigated. The results showed that the δD and δ18O in precipitation exhibited an extremely wide range and a distinct seasonal variation, and they were enriched in the spring, and depleted in the fall. The δD and δ18O values showed negative correlations with the amount of precipitation from April to October and the fall, respectively. The δD values and the mean air temperature showed a negative correlation from April to October, but showed no correlation in seasonal precipitation. Both the slopes of LMWL and excess deuterium (d values) of precipitation were the smallest in the summer, and the largest in the fall. The results of air mass back trajectories of seasonal precipitation using the HYSPLIT model indicated a dominant effect of southeast and southwest maritime monsoon air masses in the summer and the coinfluence of continental and oceanic monsoons air masses in the spring and fall in the study area.