Spatial distribution of the oxygen-18 in precipitation in China based on a new empirical model Spatial distribution of the oxygen-18 in precipitation in China based on a new empirical model

最小化 最大化

Vol16 No.11: 2605-2614

Title】Spatial distribution of the oxygen-18 in precipitation in China based on a new empirical model

Author】ZHAO Pei1,2; GUO Zheng-sheng3; SHE Dong-li4; TANG Xiang-yu2*

Addresses】1 Department of Geography, Shangluo University, Shangluo 726000, China; 2 Key Laboratory of Mountain Surface Processes and Ecological Regulation, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China; 3 College of Urban and Environment Sciences, Shanxi Normal University, Linfen 041000, China; 4 State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Research Center of Soil and Water Conservation and Ecological Environment, Chinese Academy of Sciences & Ministry of Education, Yangling 712100, China

Corresponding author】TANG Xiang-yu

Citation】Zhao P, Guo ZS, She DL, et al. (2019) Spatial distribution of the oxygen-18 in precipitation in China based on a new empirical model. Journal of Mountain Science 16(11). https://doi.org/10.1007/s11629-019-5514-8

DOI】https://doi.org/10.1007/s11629-019-5514-8

Abstract】Modeling the oxygen-18 in precipitation based on regional topography and meteorological factors is helpful to constrain missing isotopic data in some regions that is required for many paleoclimate, eco-hydrological and atmospheric circulation studies. Therefore, the relationship betweenδ18Oin precipitation (δ18OPPT) and the affecting factors need to be thoroughly understood. We present a model considering the combined effects of temperature, altitude, and latitude on the spatial variability of annual average of stable isotopes in precipitation across China. This new model performed significantly better (P<0.05) than the widely used Farquhar and Bowen & Wilkinsonmodels. Our model allows modelling the spatial distribution of isotopes in precipitation depending on temperature variation. The residuals of presented model did not significantly correlate with altitude. Based on the model and residuals, a high-resolution map of annual average δ18Opptacross China was generated. δ18OPPTdecreased from low toward high latitudes and from low towards high altitudes area. The model application provides important information forancient climate,hydrological cycle and water vapor sources studies.

Keywords】Climate change; Isotope hydrology; Geographic information; Spatial distribution