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Environmental Monitoring and Assessment

, Volume 115, Issue 1–3, pp 23–37 | Cite as

Measuring Water Storage Fluctuations in Lake Dongting, China, by Topex/Poseidon Satellite Altimetry

  • Jiqun Zhang
  • Kaiqin XuEmail author
  • Yonghui Yang
  • Lianhui Qi
  • Seiji Hayashi
  • Masataka Watanabe
Article

Abstract

Although satellite radar altimetry was developed and optimized for open oceans, it has been used to monitor variations in the level of inland water-bodies such as lakes and rivers. Here, for the first time, we have further used the altimetry-derived variation of water level for estimating the fluctuation of water storage as an addition to the present in situ water storage estimation systems to be used in remote areas and in emergency situation such as in the events flooding monitoring and for studying the effect of climate change. Lake Dongting, the second largest lake in China, influenced frequently by flooding, was, therefore, chosen to demonstrate the potential of the technique. By using the concept of an “assumed reference point”, we converted Topex/Poseidon satellite altimetry data on water level variations in Lake Dongting to “water level” data. The “water level” time-series data and in situ water storage were used to establish a rating curve. From the rating curve, we converted data on “water level” derived from seven years (1993–1999) of Topex/Poseidon data to actual water storage in Lake Dongting. The result reveals that the seasonal and annual fluctuations of water storage occurred during the 1990s with a more frequent flooding at the late 1990s' especially the flooding in whole catchment level in 1998 and 1999. The study supports the usefulness of satellite altimetry for dense and continuous monitoring of the temporal variations in water dynamic in moderate to large lakes.

Keywords

lake dongting satellite altimetry water levels water storage Yangtze river 

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References

  1. Alsdorf, D. E.: 2003, ‘Water storage of the central Amazon floodplain measured with GIS and remote sensing imagery’, Ann. Assoc. Am. Geographers 93(1), 55–66.CrossRefGoogle Scholar
  2. Alsdorf, D. E., Melack, J. M., Dunne, T., Mertes, L. A. K., Hess, L. L. and Smith, L. C.: 2000, ‘Interferometric radar measurements of water level changes on the Amazon floodplain’, Nature 404, 174–177.CrossRefGoogle Scholar
  3. Alsdorf, D. E., Lettenmaier, D., Vörösmarty, C. and the NASA Surface Water Working Group: 2003, ‘The need for global satellite based observations of terrestrial surface waters’, EOS 84(29), 269–280.Google Scholar
  4. Benada, J. R.: 1997, Topex/Poseidon Users' Handbook, http://www.nodc.noaa.gov/woce_V2/disk12/topex/docs/html/usr_toc.htm
  5. Birkett, C. M.: 1995, ‘The contribution of TOPEX/POSEIDON to the global monitoring of climatically sensitive lakes’, J. Geophys. Res – Oceans 100(C12), 25179–25204.CrossRefGoogle Scholar
  6. Birkett, C. M.: 1998, ‘The contribution of the TOPEX (NRA) radar altimeter to the global monitoring of large rivers and wetlands’, Water Resources Res. 34, 1223–1240.CrossRefGoogle Scholar
  7. Birkett, C. M.: 2000, ‘Synergistic remote sensing of Lake Chad: Variability of basin inundation’, Remote Sens. Environ. 72(2), 218–236.CrossRefGoogle Scholar
  8. Bjerklie, D. M., Dingman, S. L., Vörösmarty, C. J., Bolster, C. H. and Congalton, R. G.: 2003 ‘Evaluating the potential for measuring river discharge from space’, J. Hydrol. 278(1–4), 17–38.CrossRefGoogle Scholar
  9. Du, Y., Cai, S. M., Zhang, X. Y. and Zhao, Y.: 2001, ‘Interpretation of the environmental change of Dongting Lake, middle reach of Yangtze River, China, by 210Pb measurement and satellite image analysis’, Geomorphology 41, 171–181.CrossRefGoogle Scholar
  10. Koblinsky, C. J., Clarke, R. T., Brenner, A. C. and Frey, H.: 1993, ‘Measurement of river level variations with satellite altimetry’, Water Resources Res. 29, 1839–1848.CrossRefGoogle Scholar
  11. Maheu, C., Cazenave, A. and Mechoso, C. R.: 2003, ‘Water level fluctuations in the Plata basin (South America) from Topex/Poseidon Satellite Altimetry’, Geophys. Res. Lett. 30(3), 1143.CrossRefGoogle Scholar
  12. Mason, I. M., Guzkowsak, M. A. J., Rapley, C. G. and Street-Perrott, F. A.: 1994, ‘The response of lake levels and areas to climatic change’, Climatic Change 27, 161–197.CrossRefGoogle Scholar
  13. Mercier, F., Cazenave, A. and Maheu, C.: 2002, ‘Interannual lake level fluctuations (1993–1999) in Africa from Topex/Poseidon: Connections with ocean-atmosphere interactions over the Indian Ocean’, Global Planet. Change 32(2–3), 141–163.CrossRefGoogle Scholar
  14. Morris, C. S. and Gill, S. K.: 1994a, ‘Variation of Great Lakes water levels described from Geosat altimetry’, Water Resources Res. 30, 1009–1017.CrossRefGoogle Scholar
  15. Morris, C. S. and Gill, S. K.: 1994b, ‘Evaluation of the Topex/Poseidon altimeter system over the Great Lakes’, J. Geophys. Res. – Oceans 99(C12), 24527–24539.CrossRefGoogle Scholar
  16. Prigent, C., Matthews, E., Aires, F. and Rossow, W. B.: 2001, ‘Remote sensing of global wetland dynamics with multiple satellite data sets’, Geophys. Res. Lett. 28(24), 4631–4634.CrossRefGoogle Scholar
  17. Rodell, M., Famiglietti, J. S., Chen, J., Seneviratne, S. I., Viterbo, P., Holl, S. and Wilson, C. R.: 2004, ‘Basin scale estimates of evapotranspiration using GRACE and other observations’, Geophys. Res. Lett. 31(20) L20504.CrossRefGoogle Scholar
  18. Shepherd, I., Wilkinson, G. and Thompson, J.: 2000, ‘Monitoring surface water storage in the north Kent marshes using Landsat TM images’, Int. J. Remote Sens. 21(9), 1843–1865.CrossRefGoogle Scholar
  19. Shiklomanov, A. I., Lammers, R. B. and Vörösmarty, C. J.: 2002, ‘Widespread decline in hydrological monitoring threatens Pan-Arctic research’, EOS T. AGU 83, 13–16.Google Scholar
  20. Smith, L. C.: 1997, ‘Satellite remote sensing of river inundation area, stage, and discharge: A review’, Hydrol. Process. 11, 1427–1439.CrossRefGoogle Scholar
  21. Stokstad, E.: 1999, ‘Scarcity of rain, stream gages threatens forecasts’, Science 285, 1199.CrossRefGoogle Scholar
  22. Swenson, S. and Wahr, J.: 2005, ‘Regional terrestrial water storage estimated from GRACE satellite gravimetry and macroscale hydrologic models’, Geophys. Res. Abstracts 7, 03737.Google Scholar
  23. Tao, J. Y.: 1989, ‘The influence of straightening the Jingjiang River and the Dongting Lake’, J. Central China Normal Univ., Nature Sci. 23, 263–267 (in Chinese, with English abstract).Google Scholar
  24. Vörösmarty, C., Birkett, C., Dingman, L., Lettenmaier, D. P., Kim, Y., Rodrigues, E. and Emmitt, G. D.: 1999, ‘NASA post 2002 Land Surface Hydrology Mission Component for Surface Water Monitoring, HYDRA-SAT’, Report from the NASA Post 2002 LSHP Planning Workshop, USA.Google Scholar

Copyright information

© Springer Science + Business Media, Inc. 2006

Authors and Affiliations

  • Jiqun Zhang
    • 1
    • 2
  • Kaiqin Xu
    • 2
    • 4
    Email author
  • Yonghui Yang
    • 2
  • Lianhui Qi
    • 3
  • Seiji Hayashi
    • 2
  • Masataka Watanabe
    • 2
  1. 1.Water Resources Management CenterMinistry of Water ResourcesBeijingChina
  2. 2.National Institute for Environmental StudiesTsukubaJapan
  3. 3.Beijing University of Aeronautics and AstronauticsHaidian District BeijingChina
  4. 4.Department of Earth and Environmental EngineeringColumbia UniversityNew YorkUSA

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