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Reconstruction and Optimization of Tritium Time Series in Precipitation of Beijing, China

Published online by Cambridge University Press:  19 January 2016

Yuanzheng Zhai ,
Jinsheng Wang ,
Hui Guo ,
Yang Cao  and
Yanguo Teng
Yuanzheng Zhai*
Affiliation:
1College of Water Sciences, Beijing Normal University, Beijing 100875, China 3Engineering Research Center of Groundwater Pollution Control and Remediation, Ministry of Education of China, Beijing 100875, China
Jinsheng Wang
Affiliation:
1College of Water Sciences, Beijing Normal University, Beijing 100875, China 3Engineering Research Center of Groundwater Pollution Control and Remediation, Ministry of Education of China, Beijing 100875, China
Hui Guo
Affiliation:
1College of Water Sciences, Beijing Normal University, Beijing 100875, China 3Engineering Research Center of Groundwater Pollution Control and Remediation, Ministry of Education of China, Beijing 100875, China
Yang Cao
Affiliation:
1College of Water Sciences, Beijing Normal University, Beijing 100875, China 3Engineering Research Center of Groundwater Pollution Control and Remediation, Ministry of Education of China, Beijing 100875, China
Yanguo Teng
Affiliation:
1College of Water Sciences, Beijing Normal University, Beijing 100875, China 3Engineering Research Center of Groundwater Pollution Control and Remediation, Ministry of Education of China, Beijing 100875, China
*
2Corresponding author. Email: [email protected].
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Abstract

Tritium time series for precipitation in Beijing have been reconstructed for the period 1953–2002 using various methods: Guanbingjun method; trend surface analysis method; double reference curve method; triangulation method; and correlation method. By comparing the reconstructed results with the measured data of Beijing as well as data of other regions available in the IAEA GNIP database, the corresponding tritium time series have been developed for Beijing for the period 1953–2002, and the optimal time series was selected. The reconstructed result can be used for groundwater dating and related studies in Beijing as well as the surrounding areas.

Type
Articles
Information
Radiocarbon , Volume 55 , Issue 1 , 2013 , pp. 67 - 79
Copyright
Copyright © 2013 by the Arizona Board of Regents on behalf of the University of Arizona 

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References

REFERENCES

Avrahamov, N, Yechieli, Y, Lazar, B, Lewenberg, O, Boaretto, E, Sivan, O. 2010. Characterization and dating of saline groundwater in the Dead Sea area. Radiocarbon 52(3):1123–40.Google Scholar
Ba, Q, Xu, YF. 2010. Input function and simulated distributions of tritium in the North Pacific. Science China Earth Sciences 53(3):441–5.CrossRefGoogle Scholar
Bethke, CM, Johnson, TM. 2002. Ground water age. Ground Water 40(4):337–9.CrossRefGoogle ScholarPubMed
Bretzler, A, Osenbrück, K, Gloaguen, R, Ruprecht, JS, Kebede, S, Stadler, S. 2011. Groundwater origin and flow dynamics in active rift systems – a multi-isotope approach in the Main Ethiopian Rift. Journal of Hydrology 402(3–4):274–8.Google Scholar
Celle, JH, Gourcy, L, Aggarwal, R. 2001. Reconstruction of tritium time series in precipitation. In: Study of Environmental Change Using Isotope Techniques International Conference, April 23–27, Vienna. IAEA-CN-80/1 1P. Vienna: IAEA.Google Scholar
Clark, I, Fritz, P. 1997. Environmental Isotopes in Hydrogeology. New York: Lewis Publishers.Google Scholar
Cook, PG, Solomon, DK. 1997. Recent advances in dating young groundwater: chlorofluorocarbons, 3H/3He and 85Kr. Journal of Hydrology 191(1–4):245–6.Google Scholar
Doney, SC, Glover, DM, Jenkins, WJ. 1992. A model function of the global bomb tritium distribution in precipitation, 1960–1986. Journal of Geophysical Research 97(C4):5481–92.CrossRefGoogle Scholar
Edmunds, WM. 2009. Geochemistry's vital contribution to solving water resource problems. Applied Geochemistry 24(6):1058–73.CrossRefGoogle Scholar
Gao, SQ. 2008. Groundwater cycle pattern and renewability evaluation of groundwater in the Quaternary aquifer in Henan Plain [PhD thesis]. Changchun: Jilin University.Google Scholar
Guan, BJ. 1986. Calculation of tritium of precipitation of China. Hydrogeology & Engineering Geology 13(4):38–41.Google Scholar
Guan, BJ, Tang, JC. 1992. Investigation on time and spatial changing rule of underground water and industrial pollutants in Beijing region by environmental isotope method. Hydrogeology & Engineering Geology 19(5):10–4.Google Scholar
International Atomic Energy Agency [IAEA], World Meteorological Organization [WMO]. 2004. Global Network of Isotopes in Precipitation. The GNIP Database. Vienna: IAEA.Google Scholar
Kaufman, S, Libby, W. 1954. The natural distribution of tritium. Physical Review 93(6):1377–44.Google Scholar
Kazemi, GA, Lehr, JH, Perrochet, P. 2006. Groundwater Age. Hoboken: Wiley-Interscience.Google Scholar
Krumbein, WC. 1959. Trend surface analysis of contourtype maps with irregular control-point spacing. Journal of Geophysical Research 64(7):823–3.Google Scholar
Leboucher, V, Jean-Baptiste, P, Fourré, E, Arnold, M, Fieux, M. 2004. Oceanic radiocarbon and tritium on a transect between Australia and Bali (Eastern Indian Ocean). Radiocarbon 46(2):567–8.Google Scholar
Lian, YQ. 1990. A multiple linear regression statistical method for reconstructing the yearly average tritium content in precipitation. Carsologica Sinica 9(2):157–6.Google Scholar
Lian, YQ. 1991. Environmental isotope study for estimating leakage and runoff of ground waters in the Xi'an area. Journal of Hydrology 124(1–2):101–1.Google Scholar
Liu, T-K. 1995. Estimating flow and recharge rates of groundwater in western Taiwan using radiocarbon and tritium. Radiocarbon 37(2):531–4.CrossRefGoogle Scholar
Lucas, LL, Unterweger, MP. 2000. Comprehensive review and critical evaluation of the half-life of tritium. Journal of Research of the National Institute of Standards and Technology 105(4):541–9.Google Scholar
Michel, RL. 2005. Tritium in the hydrologic cycle. In: Aggarwal, PK, Gat, JR, Froehlich, KFO, editors. Isotopes in the Water Cycle: Past, Present and Future of a Developing Science. Dordrecht: Springer. p 53–66.Google Scholar
Noakes, JE, Spaulding, JD, Neary, MP. 1998. A remotely operated, fleld-deployable tritium analysis system for surface and ground water measurement. Radiocarbon 40(1):183–9.Google Scholar
Sidle, WC. 1998. Environmental isotopes for resolution of hydrology problems. Environmental Monitoring and Assessment 52(3):389–410.Google Scholar
Song, XF, Liu, JR, Sun, XM, Yuan, GF, Liu, X, Wang, SQ, Hou, SB. 2007. Establishment of Chinese network of isotopes in precipitation (CHNIP) based on CERN. Advances in Earth Science 22(7):738–4.Google Scholar
Stark, S, Jenkins, WJ, Doney, SC. 2004. Deposition and recirculation of tritium in the North Pacific Ocean. Journal of Geophysical Research 109(C6): C06009, doi:10.1029/2003JC002150.Google Scholar
Stock, JH, Watson, M. 2011. Introduction to Econometrics. 3rd edition. Boston: Addison Wesley.Google Scholar
Su, XS. 2002. Application of isotope techniques in the research of groundwater renewability in the typical areas of the Yellow River Basin [PhD thesis]. Changchun: Jilin University.Google Scholar
Unwin, D. 1978. An Introduction to Trend Surface Analysis. Norwich: Geo Abstracts Ltd.Google Scholar
Varlam, C, Stefanescu, I, Cuna, S, Vagner, I, Faurescu, I, Faurescu, D. 2010. Radiocarbon and tritium levels along the Romanian Lower Danube River. Radiocarbon 52(2):783–9.CrossRefGoogle Scholar
Wang, FG. 2006. The application of isotope techniques in the hydrological cycle of overground section (Henan section) of the lower reaches of Yellow River [PhD thesis]. Changchun: Jilin University.Google Scholar
Wang, YS, Xu, GS, Guan, BJ. 1986. The features and regularity of the distribution of tritium in the hydrosphere and in the territory of China. Bulletin of the Chinese Academy of Geological Sciences 15:191–200.Google Scholar
Watson, GS. 1971. Trend-surface analysis. Mathematical Geology 3(3):215–2.Google Scholar
Wei, KQ, Lin, RF, Wang, ZX. 1982. Contents of 2H, 18O and 3H in precipitation of Beijing. Science in China (Series B: Chemistry) 12(8):754–7.Google Scholar
Weiss, W, Roether, W. 1980. The rates of tritium input to the world ocean. Earth and Planetary Science Letters 49(2):435–4.Google Scholar
Wen, XF, Zhang, SC, Sun, XM, Yu, GR, Lee, XH. 2010. Water vapor and precipitation isotope ratios in Beijing, China. Journal of Geophysical Research 115(D1): DOI: 10.1029/2009JD012408.Google Scholar
Wolfgang, KH, Leopold, S. 2012. Applied Multivariate Statistical Analysis. 3rd edition. Dordrecht: Springer.Google Scholar
Xu, ZF, Han, GL. 2009. Chemical and strontium isotope characterization of rainwater in Beijing, China. Atmospheric Environment 43(12):1954–61.CrossRefGoogle Scholar
Yang, J, Zhang, YH, Ye, SJ. 2010. Characteristics of tritium distribution in precipitation in Nanjing. Journal of Nanjing University (Natural Sciences) 46(4):432–9.Google Scholar
Zhai, YZ, Wang, JS, Zuo, R, Teng, YG. 2011. Progress in applications of groundwater ages in groundwater research. Earth and Environment 39(1):113–2.Google Scholar
Zhai, YZ, Wang, JS, Teng, YG, Zuo, R. 2012a. Water demand forecasting of Beijing using the Time Series Forecasting Method. Journal of Geographical Sciences 22(5):919–3.Google Scholar
Zhai, YZ, Wang, JS, Teng, YG, Zuo, R. 2012b. Hydrogeochemical and isotopic evidence of groundwater evolution and recharge in aquifers in Beijing Plain, China. Environmental Earth Sciences. doi:10.1007/s12665-012-2045-9.Google Scholar
Zhang, YH, Ye, SJ, Wu, JC. 2011. A global model of recovering the annual mean tritium concentration in atmospheric precipitation. Geological Review 57(3):409–1.Google Scholar