Gastmans Didier, Santos Vinícius, Galhardi Juliana Aparecida, Gromboni João Felipe, Batista Ludmila Vianna, Miotlinski Konrad, Chang Hung Kiang, Govone José Silvio
a Environmental Studies Center , São Paulo State University (UNESP) , Rio Claro (SP) , Brazil.
b Laboratório de Estudos de Bacias , Institute of Geosciences and Exact Sciences, São Paulo State University (UNESP) , Rio Claro (SP) , Brazil.
Isotopes Environ Health Stud. 2017 Oct;53(5):518-538. doi: 10.1080/10256016.2017.1305376. Epub 2017 Apr 26.
Based on Global Network Isotopes in Precipitation (GNIP) isotopic data set, a review of the spatial and temporal variability of δO and δH in precipitation was conducted throughout central and eastern Brazil, indicating that dynamic interactions between Intertropical and South Atlantic Convergence Zones, Amazon rainforest, and Atlantic Ocean determine the variations on the isotopic composition of precipitation over this area. Despite the seasonality and latitude effects observed, a fair correlation with precipitation amount was found. In addition, Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) air mass back trajectories were used to quantify the factors controlling daily variability in stable isotopes in precipitation. Through a linear multiple regression analysis, it was observed that temporal variations were consistent with the meteorological parameters derived from HYSPLIT, particularly precipitation amount along the trajectory and mix depth, but are not dependent on vapour residence time in the atmosphere. These findings also indicate the importance of convective systems to control the isotopic composition of precipitation in tropical and subtropical regions.
基于全球降水同位素网络(GNIP)同位素数据集,对巴西中部和东部地区降水的δO和δH的时空变异性进行了综述,结果表明热带辐合带与南大西洋辐合带、亚马逊雨林和大西洋之间的动态相互作用决定了该地区降水同位素组成的变化。尽管观察到了季节性和纬度效应,但发现其与降水量存在显著相关性。此外,利用混合单粒子拉格朗日积分轨迹(HYSPLIT)气团后向轨迹来量化控制降水中稳定同位素日变化的因素。通过线性多元回归分析发现,时间变化与从HYSPLIT得出的气象参数一致,特别是沿轨迹的降水量和混合深度,但并不依赖于水汽在大气中的停留时间。这些发现还表明对流系统对控制热带和亚热带地区降水同位素组成的重要性。