Abstract

The Pacific island countries are particularly vulnerable to the effects of global warming including more frequent and intense natural disasters. Seawater inundation, one of the most serious disasters, could damage human property and life. Regional sea level rise, highest astronomic tide, vertical land motions, and extreme sea level could result in episodic, recurrent, or permanent coastal inundation. Therefore, assessing potential flooding areas is a critical task for coastal management plans. In this study, a simulation of the static flooding situation in the southwest coast of Taiwan (Tainan city) at the end of this century was conducted by using a combination of the Taiwan Digital Elevation Model (DEM), regional sea level changes reconstructed by tide gauge and altimetry data, vertical land deformation derived from leveling and GPS data, and ocean tide models. In addition, the extreme sea level situation, which typically results from high water on a spring tide and a storm surge, was also evaluated by the joint probability method using tide gauge records. To analyze the possible static flood risk and avoid overestimation of inundation areas, a region-based image segmentation method was employed in the estimated future topographic data to generate the flood risk map. In addition, an extreme sea level situation, which typically results from high water on a spring tide and a storm surge, was also evaluated by the joint probability method using tide gauge records. Results showed that the range of inundation depth around the Tainan area is 0–8 m with a mean value of 4 m. In addition, most of the inundation areas are agricultural land use (60% of total inundation area of Tainan), and two important international wetlands, 88.5% of Zengwun Estuary Wetlands and 99.5% of Sihcao Wetlands (the important Black-faced Spoonbills Refuge) will disappear under the combined situation. The risk assessment of flooding areas is potentially useful for coastal ocean and land management to develop appropriate adaptation policies for preventing disasters resulting from global climate change.

Highlights

  • Sea level rise (SLR), one of the most severe disasters induced by global warming, could damage human property and life, especially for the inundation in low-lying coastal areas

  • The coastal inundation situations in this study are as follows: (1) Sea level rise situation: The water depth in the future of the SLR situation is simulated by applying Equation (4), which combines the values of mean sea level (MSL) at 2012, the discrepancy between two reference ellipsoids, and the amount of SLR in 100 years

  • By using the Digital Elevation Model (DEM), regional sea level changes reconstructed from altimetry data, Vertical land motions (VLMs) derived from leveling and Global Positioning System (GPS) data, and ocean tides from the regional Taiwan tidal Model TWN5T, we evaluated several factors contributing to the risk of flooding in Tainan, including SLR, VLMs, highest astronomical tide (HAT), and the combined situations

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Summary

Introduction

Sea level rise (SLR), one of the most severe disasters induced by global warming, could damage human property and life, especially for the inundation in low-lying coastal areas. The increase in mean sea level (MSL) may pose a higher risk of flooding in coastal zones, the intrusion of seawater, loss of wetlands, and inundation of low-lying areas [1,2,3]. While low elevation coastal zones below 10 m sea level only cover 2% of the global land area, they accommodate 10% of the world’s population and 13% of the world’s urban inhabitants [4,5]. Human-induced activities, including groundwater extraction or reduced sediment supply to river deltas caused by dam building, increase the vulnerability of the susceptible coastal zone and most low-lying river deltas in Asia [10,11]. Tides are usually the largest sources of short-term sea level fluctuations [12]

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