Characteristics Analysis and Risk Assessment of Extreme Water Levels Based on 60-Year Observation Data in Xiamen, China

Miao, Qingsheng; Yue, Xinyang; Yang, Jinkun; Wang, Zhifeng; Xu, Shoufang; Yang, Yang; Chu, Siqi

doi:10.1007/s11802-022-4844-2

Cited by 4 publications

(2 citation statements)

References 15 publications

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“…These events result in a combination of sea level surges induced by low pressures, surges generated by wind stress over the sea surface (i.e., the storm surge), the setup of wind waves, other ocean surface dynamic sea level disruptions (e.g., sea level anomalies due to marine currents), and the astronomical tide. The contribution of the latter is critical along coasts with macro-and meso-tidal ranges [2], as it may become a major contributor to the magnitude and occurrence of ESLs [3][4][5]. Under stormy conditions, sea-level-induced flooding can also combine with strong winds, heavy rain, and extreme events of other ocean surface dynamics, such as wind waves and currents, significantly enhancing the destructive power of storms and exacerbating the resulting consequences in coastal areas.…”

Section: Introductionmentioning

confidence: 99%

Variability Assessment of Global Extreme Coastal Sea Levels Using Altimetry Data

Lobeto,

Menendez

2024

Remote Sensing

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This study assesses the variability of coastal extreme sea levels globally by utilizing nearly three decades of along-track, multi-mission satellite altimetry data. An altimetry-based global coastal database of the non-tidal residual sea level component has been produced. The climate variability of extremes is modeled through a parametric, non-stationary statistical model. This model captures intra-annual, inter-annual and long-term variations in non-tidal residual return levels. Comparisons with tide gauge data demonstrate the ability of altimetry data to capture the variability of coastal extreme sea levels. Our findings reveal a greater complexity in the monthly variability patterns of non-tidal residual extremes in tropical latitudes, often exhibiting multiple storm periods, contrasting with coasts in extratropical latitudes, which are mostly controlled by a winter–summer pattern. This study also highlights the significant influence of established climate circulation patterns on sea level extremes. The positive phase of the Arctic Oscillation pattern leads to increases of over 25% in non-tidal residual return levels in Northwestern Europe with respect to a neutral phase. Furthermore, return levels in the western coast of Central America could be 50% higher during El Niño compared to La Niña. Our results show a robust increasing trend in non-tidal residual return levels along most global coastlines. A comparative analysis shows that variations during the 1995–2020 period were primarily driven by intra-annual variations.

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Section: Introductionmentioning

confidence: 99%

Variability Assessment of Global Extreme Coastal Sea Levels Using Altimetry Data

Lobeto,

Menendez

2024

Remote Sensing

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“…Xiamen Bay is struck by TCs frequently from July to October. Statistics show that about 2.7 TCs can affect Xiamen Bay per year on average (Miao et al, 2022). TCs always raise coastal flooding in the lowlying land of Xiamen Bay.…”

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confidence: 99%

Assessment of future flood risk induced by sea level rise and tropical cyclones under global warming in the Xiamen Bay, Fujian, China

et al. 2023

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Tropical cyclone (TC)-induced coastal flooding can lead to severe hazards in low-lying lands and is expected to be exacerbated by sea level rise and TC climatology changes related to the warming climate. Since the dense population in Xiamen Bay, Fujian, China, it is highly valuable in understanding coastal flooding of it, but little studies involved this topic. In this study, we establish a high-resolution numerical model covering all coastal low-lying land in Xiamen Bay based on FVCOM. This model is then used to assess the flood risk in Xiamen Bay under TCs with 10-, 100-, and 1000-year pressures by applying a multi-tracks blend method. The results show that 126 km2 of low-lying area can be flooded periodically by astronomical tides; and 388, 504, and 598 km2 of low-lying area can be flooded under TCs with 10-, 100-, and 1000-year pressures, accompanied by increased average flood depths of 2.3, 2.8, and 3.4 m, respectively. By 2100 under SSP5-8.5, the well-protected Xiamen Island becomes impacted by TCs with 10-year pressure, and flood areas under TCs with 100-year pressure are estimated to be nearly equivalent to that under TCs with 1000-year pressure at the current climate. The most increased exposure area by climate change are artificial surfaces and agricultural areas, showing the potential higher flood disasters in future.

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The influence of astronomical tide phases on urban flooding during rainstorms: Application to Macau

Dong,

Liu,

Zhou

et al. 2024

Journal of Hydrology: Regional Studies

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Characteristics Analysis and Risk Assessment of Extreme Water Levels Based on 60-Year Observation Data in Xiamen, China

Cited by 4 publications

References 15 publications

Variability Assessment of Global Extreme Coastal Sea Levels Using Altimetry Data

Variability Assessment of Global Extreme Coastal Sea Levels Using Altimetry Data

Assessment of future flood risk induced by sea level rise and tropical cyclones under global warming in the Xiamen Bay, Fujian, China

The influence of astronomical tide phases on urban flooding during rainstorms: Application to Macau

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