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author:

Liang, X. (Liang, X..) [1] | Lin, Y. (Lin, Y..) [2] | Wu, R. (Wu, R..) [3] | Li, G. (Li, G..) [4] | Khan, N. (Khan, N..) [5] | Liu, R. (Liu, R..) [6] | Su, H. (Su, H..) [7] | Wei, S. (Wei, S..) [8] | Zhang, H. (Zhang, H..) [9]

Indexed by:

Scopus

Abstract:

Rising sea level caused by global climate change may increase extreme sea level events, flood low-lying coastal areas, change the ecological and hydrological environment of coastal areas, and bring severe challenges to the survival and development of coastal cities. Hong Kong is a typical economically and socially developed coastal area. However, in such an important coastal city, the mechanisms of local sea-level dynamics and their relationship with climate teleconnections are not well explained. In this paper, Hong Kong tide gauge data spanning 68 years was documented to study the historical sea-level dynamics. Through the analysis framework based on Wavelet Transform and Hilbert Huang Transform, non-stationary and multi-scale features in sea-level dynamics in Hong Kong are revealed. The results show that the relative sea level (RSL) in Hong Kong has experienced roughly 2.5 cycles of high-to-low sea-level transition in the past half-century. The periodic amplitude variation of tides is related to Pacific Decadal Oscillation (PDO) and El Niño-Southern Oscillation (ENSO). RSL rise and fall in eastern Hong Kong often occur in La Niña and El Niño years, respectively. The response of RSL to the PDO and ENSO displays a time lag and spatial heterogeneity in Hong Kong. Hong Kong's eastern coastal waters are more strongly affected by the Pacific climate and current systems than the west. This study dissects the non-stationary and multi-scale characteristics of relative sea-level change and helps to better understand the response of RSL to the global climate system. Copyright © 2023 Liang, Lin, Wu, Li, Khan, Liu, Su, Wei and Zhang.

Keyword:

climate teleconnection El Niño-Southern Oscillation (ENSO) Pacific Decadal Oscillation (PDO) relative sea-level change time series analysis

Community:

  • [ 1 ] [Liang, X.]Department of Geography, The University of Hong Kong, Hong Kong
  • [ 2 ] [Liang, X.]The University of Hong Kong Shenzhen Institute of Research and Innovation, Shenzhen, China
  • [ 3 ] [Lin, Y.]Department of Geography, The University of Hong Kong, Hong Kong
  • [ 4 ] [Lin, Y.]The University of Hong Kong Shenzhen Institute of Research and Innovation, Shenzhen, China
  • [ 5 ] [Wu, R.]School of Earth Sciences, Zhejiang University, Hangzhou, China
  • [ 6 ] [Li, G.]School of Geospatial Engineering and Science, Sun Yat-Sen University, Zhuhai, China
  • [ 7 ] [Khan, N.]Department of Earth Sciences, The University of Hong Kong, Hong Kong
  • [ 8 ] [Liu, R.]Department of Geography, The University of Hong Kong, Hong Kong
  • [ 9 ] [Liu, R.]The University of Hong Kong Shenzhen Institute of Research and Innovation, Shenzhen, China
  • [ 10 ] [Su, H.]Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou University, Fuzhou, China
  • [ 11 ] [Wei, S.]Department of Geography, The University of Hong Kong, Hong Kong
  • [ 12 ] [Wei, S.]The University of Hong Kong Shenzhen Institute of Research and Innovation, Shenzhen, China
  • [ 13 ] [Zhang, H.]Department of Geography, The University of Hong Kong, Hong Kong
  • [ 14 ] [Zhang, H.]The University of Hong Kong Shenzhen Institute of Research and Innovation, Shenzhen, China

Reprint 's Address:

  • [Zhang, H.]Department of Geography, Hong Kong

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Source :

Frontiers in Marine Science

ISSN: 2296-7745

Year: 2023

Volume: 9

2 . 8

JCR@2023

2 . 8 0 0

JCR@2023

ESI HC Threshold:18

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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