scholarly journals Modelling the combined impacts of sea-level rise and land subsidence on storm tides induced flooding of the Huangpu River in Shanghai, China

2013 ◽  
Vol 119 (3-4) ◽  
pp. 919-932 ◽  
Author(s):  
Jie Yin ◽  
Dapeng Yu ◽  
Zhane Yin ◽  
Jun Wang ◽  
Shiyuan Xu
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Land Subsidence ◽  
Huangpu River

Adaptation to Sea Level Rise in Cities: Lessons from Present Examples of Land Subsidence

2018 ◽  
Author(s):  
Miguel Esteban ◽  
Hiroshi Takagi ◽  
Laurice Jamero ◽  
Nguyen Danh Thao ◽  
Takahito Mikami ◽  
...  
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Land Subsidence

scholarly journals Insar Maps of Land Subsidence and Sea Level Scenarios to Quantify the Flood Inundation Risk in Coastal Cities: The Case of Singapore

2020 ◽  
Vol 12 (2) ◽  
pp. 296 ◽  
Author(s):  
Joao Catalao ◽  
Durairaju Raju ◽  
Giovanni Nico
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Land Subsidence ◽  
Central Area ◽  
Coastal Areas ◽  
Sar Interferometry ◽  
Asia Pacific ◽  
Flood Vulnerability ◽  
Global Mean Sea Level ◽  
Global Sea Level

Global mean sea level rise associated with global warming has a major impact on coastal areas and represents one of the significant natural hazards. The Asia-Pacific region, which has the highest concentration of human population in the world, represents one of the larger areas on Earth being threatened by the rise of sea level. Recent studies indicate a global sea level of 3.2 mm/yr as measured from 20 years of satellite altimetry. The combined effect of sea level rise and local land subsidence, can be overwhelming for coastal areas. The Synthetic Aperture Radar (SAR) interferometry technique is used to process a time series of TerraSAR-X images and estimate the land subsidence in the urban area of Singapore. Interferometric SAR (InSAR) measurements are merged to the Representative Concentration Pathway (RCP) 4.5 and RCP 8.5 sea-level rise scenarios to identify projected inundated areas and provide a map of flood vulnerability. Subsiding rates larger than 5 mm/year are found near the shore on the low flat land, associated to areas recently reclaimed or built. The projected flooded map of Singapore are provided for different sea-level rise scenarios. In this study, we show that local land subsidence can increase the flood vulnerability caused by sea level rise by 2100 projections. This can represent an increase of 25% in the flood area in the central area of Singapore for the RCP4.5 scenario.

scholarly journals An Improve Performance of Geospatial Model to Access the Tidal Flood Impact on Land Use by Evaluating Sea Level Rise and Land Subsidence Parameters

2022 ◽  
Vol 23 (2) ◽  
pp. 1-11
Author(s):  
Muhammad Zainuri ◽  
Muhammad Helmi ◽  
Maria Griselda Anindyan Novita ◽  
Hermin Pancasakti Kusumaningrum ◽  
Magaly Koch
Keyword(s):  
Land Use ◽  
Sea Level Rise ◽  
Sea Level ◽  
Land Subsidence ◽  
Improve Performance ◽  
Flood Impact

scholarly journals Adaptive Capacity Mapping of Semarang Offshore Territory by the Increasing of Water Level and Climate Change

2013 ◽  
Vol 27 (1) ◽  
pp. 81
Author(s):  
Ifan Ridlo Suhelm
Keyword(s):  
Climate Change ◽  
Sea Level Rise ◽  
Adaptive Capacity ◽  
Sea Level ◽  
Land Subsidence ◽  
Educational Background ◽  
Intergovernmental Panel ◽  
Two Factors ◽  
The Face ◽  
The Village

Tidal inundation, flood and land subsidence are the problems faced by Semarang city related to climate change. Intergovernmental Panel on Climate Change (IPCC) predicted the increase of sea level rise 18-59 cm during 1990-2100 while the temperature increase 0,6°C to 4°C during the same period. The Semarang coastal city was highly vulnerable to sea level rise and it increased with two factors, topography and land subsidence. The purpose of this study was to map the adaptive capacity of coastal areas in the face of the threat of disasters caused by climate change. The parameters used are Network Number, Employee based educational background, Source Main Livelihoods, Health Facilities, and Infrastructure Road. Adaptive capacity of regions classified into 3 (three) classes, namely low, medium and high. The results of the study showed that most of the coastal area of Semarang have adaptive capacities ranging from low to moderate, while the village with low capacity totaling 58 villages (58.62%) of the total coastal district in the city of Semarang.

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