Literature DB >> 16502025

Measuring water storage fluctuations in lake Dongting, China, by Topex/Poseidon satellite altimetry.

Jiqun Zhang1, Kaiqin Xu, Yonghui Yang, Lianhui Qi, Seiji Hayashi, Masataka Watanabe.   

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.

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Year:  2006        PMID: 16502025     DOI: 10.1007/s10661-006-5233-9

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  1 in total

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Authors: 
Journal:  Nature       Date:  2000-03-09       Impact factor: 49.962

  1 in total
  4 in total

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Journal:  World J Microbiol Biotechnol       Date:  2015-08-07       Impact factor: 3.312

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Authors:  Gang Zhao; Huilin Gao
Journal:  Geophys Res Lett       Date:  2018-06-12       Impact factor: 4.720

3.  Monitoring monthly surface water dynamics of Dongting Lake using Sentinel-1 data at 10 m.

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Journal:  PeerJ       Date:  2018-06-20       Impact factor: 2.984

4.  Water Level Reconstruction and Prediction Based on Space-Borne Sensors: A Case Study in the Mekong and Yangtze River Basins.

Authors:  Qing He; Hok Sum Fok; Qiang Chen; Kwok Pan Chun
Journal:  Sensors (Basel)       Date:  2018-09-13       Impact factor: 3.576

  4 in total

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