Coastal Vulnerability Index sensitivity to shoreline position and coastal elevation parameters in the Niger Delta region, Nigeria

被引:1
|
作者
Dike, Emmanuel Chigozie [1 ,2 ]
Amaechi, Chiemela Victor [3 ,4 ,5 ]
Beddu, Salmia Binti [4 ]
Weje, Innocent Ikezam [2 ]
Ameme, Bright Godfrey [2 ]
Efeovbokhan, Olumese [6 ,7 ]
Oyetunji, Abiodun Kolawole [1 ,8 ]
机构
[1] Univ Lancaster, Lancaster Environm Ctr LEC, Lancaster LA1 4YQ, England
[2] Reg Planning Rivers State Univ, Dept Urban, Port Harcourt, Nigeria
[3] Univ Lancaster, Dept Engn, Bailrigg, Lancaster LA1 4YR, England
[4] Univ Tenaga Nas, Natl Energy Univ, Inst Sustainable Energy, Jalan IKRAM UNITEN, Kajang, Selangor, Malaysia
[5] Stand Org Nigeria SON, 52 Lome Crescent,Wuse Zone 7, Abuja 900287, Nigeria
[6] Univ Nottingham, Sch Geog, Nottingham NG7 2RD, England
[7] Nigerian Army Med Corps, Nigerian Army Base Hosp, Dept Psychiat, Lagos, Nigeria
[8] Univ Benin, Dept Estate Management, Benin, Nigeria
关键词
Synthetic Aperture Radar (SAR); SAR-based shoreline; Sea level rise (SLR); Niger Delta; Coastal Vulnerability Index (CVI); Shoreline position change; Digital Elevation Model (DEM); ACCURACY; MODELS;
D O I
10.1016/j.scitotenv.2024.170830
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
It is imperative to assess coastal vulnerability to safeguard coastal areas against extreme events and sea -level rise. In the Niger Delta region, coastal vulnerability index assessment in the past focused on open -access parameters without comparing the open -access parameters, especially coastal elevation and shoreline change. This sensitivity to the shoreline method and open -access coastal elevation limits the information for the planning of coastal adaptation. The area under investigation is the Niger Delta, which is distinguished by its low-lying coastal plains and substantial ecological and economic significance. In light of the selected parameters, Sentinel -1 GRD images from 2015 to 2022 during high tidal conditions were used to delineate the shoreline position and change rate. Also, different open -access DEMs were used to derive the coastal elevation using the Geographic Information System (GIS) approach. The study employs 5 parameters, such as shorelines obtained from Sentinel -1 SAR images and several Digital Elevation Models (DEMs), geomorphology, mean sea level rise, significant wave height, and mean tide range, in conjunction with the initial Coastal Vulnerability Index (CVI) approach. The study reveals that the type of DEM used significantly influences the coastal elevation ranking and, subsequently, the CVI. Differences in shoreline change rate estimation methods (EPR and LRR) also impact the vulnerability rankings but to a lesser extent. The findings highlight that 40.1% to 58.9% of the Niger Delta coastline is highly or very highly vulnerable to sea -level rise, depending on the shoreline change rate or DEM used. The study underscores the potential of using CVI methods with open -access data in data -poor countries for identifying vulnerable coastal areas that may need protection or adaptation. Lastly, it points out the need for higher resolution DEMs.
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页数:17
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