Remote Sensing (Nov 2020)

Coastal Dam Inundation Assessment for the Yellow River Delta: Measurements, Analysis and Scenario

  • Guoyang Wang,
  • Peng Li,
  • Zhenhong Li,
  • Dong Ding,
  • Lulu Qiao,
  • Jishang Xu,
  • Guangxue Li,
  • Houjie Wang

DOI
https://doi.org/10.3390/rs12213658
Journal volume & issue
Vol. 12, no. 21
p. 3658

Abstract

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Coastal dams along the Yellow River Delta are built to prevent seawater intrusion. However, land subsidence caused by significant oil, gas and brine extraction, as well as sediment compaction, could exacerbate the flooding effects of sea-level rise and storm surge. In order to evaluate the coastal dam vulnerability, we combined unmanned aerial vehicle (UAV) Light Detection and Ranging (LiDAR) with small baseline subsets (SBAS) interferometric synthetic aperture radar (InSAR) results to generate an accurate coastal dam digital elevation model (DEM) over the next 10, 30 and 80 years. Sea-level simulation was derived from the relative sea-level rise scenarios published by the Intergovernmental Panel on Climate Change (IPCC) and local long-term tide gauge records. Assuming that the current rate of dam vertical deformation and sea-level rise are linear, we then generated different inundation scenarios by the superposition of DEMs and sea-levels at different periods by way of a bathtub model. We found that the overtopping event would likely occur around Year 2050, and the northern part of the dam would lose its protective capability almost entirely by the end of this century. This article provides an alternative cost-effective method for the detection, extraction and monitoring of coastal artificial infrastructure.

Keywords