Quantifying Spatiotemporal Evolution of Sandy Shorelines in Northern China Using DSAS: A Case Study from Dalian World Peace Park
Panqing Lin,
Xiangxu Wei,
Yaxuan Zhang,
Pengfei Lv,
Ming Liu (),
Yi Yang () and
Xiangke Dong
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Panqing Lin: College of Marine Science Technology and Environment, Dalian Ocean University, Dalian 116013, China
Xiangxu Wei: College of Marine Science Technology and Environment, Dalian Ocean University, Dalian 116013, China
Yaxuan Zhang: College of Marine Science Technology and Environment, Dalian Ocean University, Dalian 116013, China
Pengfei Lv: College of Marine Science Technology and Environment, Dalian Ocean University, Dalian 116013, China
Ming Liu: College of Marine Science Technology and Environment, Dalian Ocean University, Dalian 116013, China
Yi Yang: College of Marine Science Technology and Environment, Dalian Ocean University, Dalian 116013, China
Xiangke Dong: National Marine Environmental Monitoring Center, Dalian 116023, China
Sustainability, 2025, vol. 17, issue 17, 1-32
Abstract:
This study analyzed shoreline evolution (2000–2024) at Dalian World Peace Park’s sandy tourist beach using GEE, CoastSat, and DSAS. At the same time, combined with the grain size analysis of beach sediments before and after typhoons, the impact of extreme events on the shoreline line changes was explored. The DSAS shows a spatial differentiation pattern of the southern shoreline retreat trend zone, the central shoreline dynamic balance trend zone and the northern shoreline advance trend zone. The 2008 reclamation project altered hydrodynamics, creating an artificial headland effect that triggered significant northern shoreline advancement (max 74.16 m) and southern retreat (27.14 m), demonstrating unforeseen long-term trade-offs of large-scale interventions. Subsequent cobble structures, acting as a nature-based solution, enhanced sediment retention and wave energy refraction, promoting dynamic equilibrium and shoreline resilience. However, the 2017 double typhoon caused instantaneous retreat with finer, poorly sorted sediment, highlighting persistent vulnerability to extreme events. This study underscores the critical need for adaptive management within a sustainable shoreline development framework.
Keywords: sandy shoreline evolution; sediment dynamics; extreme climate response; nature-based solutions; shoreline resilience (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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