Integration of remote sensing technique and hydrologic model for monitoring tidal flat dynamics of Juiduansha in Shanghai

Ground survey is restricted by the difficulty of access to wide-range and dynamic salt marsh. Waterline method and hydrodynamic model were investigated to construct Digital Elevation Model (DEM) at Jiudunasha Shoals. A series of waterlines were extracted from multi-temporal remotely sensing images collected over the period of 2000-2004. The assignment of an elevation to each waterline at the satellite overpass was performed according to hydrodynamic model. The corrected waterlines labeled elevations were used to construct Triangulated Irregular Networks (TINs). Then an interpolation for each grid elevation was performed in accordance with the associated triangle. This initial DEM, produced using the corrected waterline set, was then used to refine the topography in the intertidal zone, and the model was re-run to produce improved water levels and a new DEM. This procedure was iterated by comparing modeled and actual waterlines until no further improvement occurred. Three DEMs of different intervals were built by this approach and were compared to evaluate the effect of Deep Water Channel Project (DWCP) at the north of Jiuduansha Island. Waterline method combined with numerical model, is an effective tool for constructing digital elevation model of mudflats. The result can provide invaluable information for coastal land use and engineer construction.

[1]  J. A. Smith,et al.  A Sensitivity Analysis of the Waterline Method of Constructing a Digital Elevation Model for Intertidal Areas in ERS SAR scene of Eastern England , 2001 .

[2]  Jeong-Hee Han,et al.  Determination of sedimentation rate of a recently deposited tidal flat, western coast of Korea, using IRSL dating , 2003 .

[3]  S. Nasr,et al.  Change detection of the northeastern Nile Delta of Egypt: Shoreline changes, Spit evolution, margin changes of Manzala lagoon and its islands , 1998 .

[4]  I. J. Davenport,et al.  Interpolation of an intertidal digital elevation model from heighted shorelines: a case study in the Western Wash , 1997 .

[5]  Joong-Sun Won,et al.  A critical grain size for Landsat ETM+ investigations into intertidal sediments: a case study of the Gomso tidal flats, Korea , 2004 .

[6]  Liang-Chien Chen,et al.  Detection of shoreline changes for tideland areas using multi-temporal satellite images , 1998 .

[7]  A. Plater,et al.  Tidal sedimentation in the Tees estuary during the 20th Century: radionuclide and magnetic evidence of pollution and sedimentary response. , 2004 .

[8]  Y. Cai.  Deposition and Erosion Remote Sensing Inversion of Tidal Flat in Wenzhou Area , 2003 .

[9]  H. Streif,et al.  The record of climatic change in the geological archives of shallow marine, coastal, and adjacent lowland areas of Northern Germany , 2003 .

[10]  D. Corbett,et al.  An evaluation of mobile mud dynamics in the Mississippi River deltaic region , 2004 .

[11]  Huamei Huang,et al.  A study of the population dynamics of Spartina alterniflora at Jiuduansha shoals, Shanghai, China. , 2007 .

[12]  S. L. Yang,et al.  Changes in progradation rate of the tidal flats at the mouth of the Changjiang (Yangtze) River, China , 2001 .

[13]  M. El-Raey,et al.  Remote sensing of beach erosion / accretion patterns along Damietta-Port Said shoreline, Egypt , 1999 .

[14]  Huang Hai.  MONITORING CHANGES OF NEARSHORE ZONES IN THE HUANGHE (YELLOW RIVER) DELTA SINCE 1976 , 2004 .

[15]  J. A. Smith,et al.  Measurement of Recent Intertidal Sediment Transport in Morecambe Bay using the Waterline Method , 1999 .

[16]  Z. Shi,et al.  Morphodynamics and sediment dynamics on intertidal mudflats in China (1961–1994) , 1996 .

[17]  K. White,et al.  Monitoring changing position of coastlines using Thematic Mapper imagery, an example from the Nile Delta , 1999 .