Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1007/s10584-018-2334-8 |
Regionalisation of population growth projections in coastal exposure analysis | |
Merkens, Jan-Ludolf1; Lincke, Daniel2; Hinkel, Jochen2,3,4; Brown, Sally5,6; Vafeidis, Athanasios Thomas1 | |
2018-12-01 | |
发表期刊 | CLIMATIC CHANGE
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ISSN | 0165-0009 |
EISSN | 1573-1480 |
出版年 | 2018 |
卷号 | 151页码:413-426 |
文章类型 | Article |
语种 | 英语 |
国家 | Germany; England |
英文摘要 | Large-area coastal exposure and impact analysis has focussed on using sea-level rise (SLR) scenarios and has placed little emphasis on socioeconomic scenarios, while neglecting spatial variations of population dynamics. We use the Dynamic Interactive Vulnerability Assessment (DIVA) Framework to assess the population exposed to 1 in 100-year coastal flood events under different population scenarios, that are consistent with the shared socioeconomic pathways (SSPs); and different SLR scenarios, derived from the representative concentration pathways (RCPs); and analyse the effect of accounting for regionalised population dynamics on population exposure until 2100. In a reference approach, we use homogeneous population growth on national level. In the regionalisation approaches, we test existing spatially explicit projections that also account for urbanisation, coastal migration and urban sprawl. Our results show that projected global exposure in 2100 ranges from 100 million to 260 million, depending on the combination of SLR and population scenarios and method used for regionalising the population projections. The assessed exposure based on the regionalised approaches is higher than that derived from the reference approach by up to 60 million people (39%). Accounting for urbanisation and coastal migration leads to an increase in exposure, whereas considering urban sprawl leads to lower exposure. Differences between the reference and the regionalised approaches increase with higher SLR. The regionalised approaches show highest exposure under SSP5 over most of the twenty-first century, although total population in SSP5 is the second lowest overall. All methods project the largest absolute growth in exposure for Asia and relative growth for Africa. |
领域 | 气候变化 |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000452480700004 |
WOS关键词 | SEA-LEVEL RISE ; CLIMATE-CHANGE ; SCENARIOS ; 21ST-CENTURY ; CITIES |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/30049 |
专题 | 气候变化 |
作者单位 | 1.Univ Kiel, Dept Geog, Ludewig Meyn Str 14, D-24118 Kiel, Germany; 2.Global Climate Forum eV GCF, Neue Promenade 6, D-10178 Berlin, Germany; 3.Humboldt Univ, Div Resource Econ, Albrecht Daniel Thaer Inst, Berlin, Germany; 4.Humboldt Univ, Berlin Workshop Inst Anal Social Ecol Syst, WINS, Berlin, Germany; 5.Univ Southampton, Fac Engn & Environm, Univ Rd, Southampton SO17 1BJ, Hants, England; 6.Tyndall Ctr Climate Change Res, Southampton, Hants, England |
推荐引用方式 GB/T 7714 | Merkens, Jan-Ludolf,Lincke, Daniel,Hinkel, Jochen,et al. Regionalisation of population growth projections in coastal exposure analysis[J]. CLIMATIC CHANGE,2018,151:413-426. |
APA | Merkens, Jan-Ludolf,Lincke, Daniel,Hinkel, Jochen,Brown, Sally,&Vafeidis, Athanasios Thomas.(2018).Regionalisation of population growth projections in coastal exposure analysis.CLIMATIC CHANGE,151,413-426. |
MLA | Merkens, Jan-Ludolf,et al."Regionalisation of population growth projections in coastal exposure analysis".CLIMATIC CHANGE 151(2018):413-426. |
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