Satellite-derived particulate organic carbon flux in the Changjiang River through different stages of the Three Gorges Dam

  • Dong Liu
  • , Yan Bai*
  • , Xianqiang He
  • , Delu Pan
  • , Chen Tung Arthur Chen
  • , Teng Li
  • , Yi Xu
  • , Chaohai Gong
  • , Lin Zhang
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

43 Scopus citations

Abstract

As the largest Asian river and fourth world's largest river by water flow, the Changjiang River transports a considerable amount of terrigenous particulate organic carbon (POC) into ocean, which has experienced significant pressure from human activities. We conducted monthly sampling (from May 2015 to May 2016) at Datong, the most downstream non-tidal hydrological station along the Changjiang River. To monitor long-term POC variations, we developed a two-step POC algorithm for Landsat satellite data and calculated monthly POC flux during 2000–2016. Monthly POC flux ranged from a minimum of 1.4 × 10 4 t C in February 2016 to a maximum of 52.04 × 10 4 t C in May 2002, with a mean of 13.04 × 10 4 t C/month. At Datong, monthly POC flux was positively exponentially related to water flow (N = 118, R = 0.69, p < 0.01). In the wet season (May to October) with high water flow, a large amount of terrigenous POC was flushed into the Changjiang River. After the Three Gorges Dam (TGD), both POC concentration (R = 0.46, p < 0.01) and POC flux (R = 0.33, p < 0.01) significantly exponentially decreased during 2000–2016. After 2011 with regular operation of the TGD, POC transport at Datong showed relative stability and its seasonal difference became smaller. POC concentration from the TGD to Datong in the Changjiang mainstream (~1000 km) was also derived from Landsat data, which was spatially varied with water flow, slope gradient, and watercourse width. This study improved our understanding of the spatiotemporal variations of POC transport in the Changjiang mainstream, especially the influences of the TGD construction.

Original languageEnglish
Pages (from-to)154-165
Number of pages12
JournalRemote Sensing of Environment
Volume223
DOIs
StatePublished - 15 Mar 2019
Externally publishedYes

Keywords

  • Bio-optical model
  • Changjiang River
  • Landsat data
  • Particulate organic carbon
  • Three Gorges Dam

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