首页|Factors controlling spatial and seasonal distributions of precipitation δ18O in China

Factors controlling spatial and seasonal distributions of precipitation δ18O in China

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Utilising datasets from the Global Network of Isotopes in Precipitation of the International Atomic Energy Agency, and previous isotopic studies, we investigated δ18O spatial and temporal patterns in Chinese precipitation. Significantly positive relationships existed between precipitation δ18O and air temperature above the north of 35°N and in high altitude regions above 32°N. Significantly negative relationships between precipitation δ18O and the precipitation amount existed below south of 35°N. These temperature and precipitation effects became stronger with increasing altitude except in high altitude regions between 32°N and 35°N. The NCEP/NCAR reanalysis data from 1980 to 2004 showed that variations in spatial and seasonal wind fields at 700 hpa and total precipitable water from the ground to the top of the atmosphere were correlated with the monthly spatial distribution of precipitation δ18O. Basing on this relationship, we established quantitative correlations between the mean monthly precipitation δ18O and both latitude and temperature in different seasons. We found that spatial variations in precipitation δ18O could be described well using the Bowen–Wilkinson model and second-order equations developed during the present study only in winter (from December to February). During the rest of the year, patterns were too complex to predict using simple models. The results suggest that it is difficult to demonstrate variations of precipitation δ18O throughout the year and for all regions of China using a single model. Moreover, the new models for the relationships among precipitation, latitude, and temperature were better able to depict the variations in precipitation δ18O than the Bowen–Wilkinson model. Copyright © 2011 John Wiley & Sons, Ltd.

precipitation δ18Otemperature effect on δ18Oprecipitation effect on δ18Oseasonal and spatial distribution

Liangju Zhao1、Honglang Xiao1、Maoxian Zhou1、Guodong Cheng2、Lixin Wang4、Li Yin1、Juan Ren1

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1 Key Laboratory of Ecohydrology and Integrated River Basin Science, Cold and Arid Regions Environmental and Engineering Research Institute,Chinese Academy of Sciences, Lanzhou 730000, China2 State Key Laboratory of Frozen Soil Engineering, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy ofSciences, Lanzhou 730000, China3 Key Laboratory of Heihe Ecohydrology and Basin Science of Gansu Province, Lanzhou 730000, China4 Department of Civil and Environmental Engineering

2012

10.1002/hyp.8118

Hydrological processes

Hydrological processes

EIISTP
ISSN：0885-6087
年,卷(期)：2012.26(1)
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