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

作　　者：ZHAO Pei GUO Zheng-sheng SHE Dong-li TANG Xiang-yu 

机构地区：[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

出　　处：《Journal of Mountain Science》2019年第11期2605-2614,共10页山地科学学报（英文）

基　　金：financially supported by National Natural Science Foundation of China(41790431 and 41471188);the Innovative Talents Promotion Plan in Shaanxi Province(2017-KJXX-74);the CAS “Light of West China” Program

摘　　要：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 averageδ18Opptacross 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.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 between δ18O in 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 & Wilkinson models. 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 δ18Oppt across China was generated. δ18OPPT decreased from low toward high latitudes and from low towardshigh altitudes area. The model application provides important information for ancient climate,hydrological cycle and water vapor sources studies.

关 键 词：CLIMATE change ISOTOPE HYDROLOGY GEOGRAPHIC information Spatial distribution 

分 类 号：O57[理学—粒子物理与原子核物理]