Index based multi-criteria approach to coastal risk assesment

被引:28
作者
Bagdanaviciute, Ingrida [1 ,2 ]
Kelpsaite-Rimkiene, Loreta [3 ]
Galiniene, Jelena [1 ]
Soomere, Tarmo [4 ]
机构
[1] Klaipeda Univ, Dept Nat Sci, H Manto 84, LT-92294 Klaipeda, Lithuania
[2] Vilnius Univ, Inst Geosci, MK Ciurlionio 21-27, LT-03101 Vilnius, Lithuania
[3] Klaipeda Univ, Marine Res Inst, H Manto 84, LT-92294 Klaipeda, Lithuania
[4] Tallinn Univ Technol, Sch Sci, Dept Cybernet, Akad Tee 21, EE-12618 Tallinn, Estonia
关键词
Coastal vulnerability assessment; Coastal risk index; Climate change; GIS; Multi-criteria evaluation; AHP; Baltic Sea; SEA-LEVEL RISE; CLIMATE-CHANGE; BALTIC SEA; VULNERABILITY ASSESSMENT; CURONIAN-SPIT; SEDIMENT TRANSPORT; LITHUANIAN COAST; NATURAL HAZARDS; BEACH; MANAGEMENT;
D O I
10.1007/s11852-018-0638-5
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
The present study focuses on the quantification of coastal risks associated with erosion and inundation accelerated by sea level rise and extreme storms events in the specific conditions of micro-tidal semi-enclosed seas. The main objective is to develop a measure that characterises climate-related external hazards, the exposure (of people and assets at risk of being damaged) and vulnerability of human and natural systems. This is accomplished by means of adaption of the concept of nondimensional coastal risk (or resilience) index (CRI), as a function of coastal vulnerability and exposure indices, to the conditions of sedimentary shores of the eastern Baltic Sea and testing its suitability for low-lying coastal zones considering their environmental and socioeconomic characteristics. The study area is an about 45 km long coastal section of Lithuania in the south-eastern Baltic Sea. We introduce a set of locally relevant coastal vulnerability and exposure variables, apply an Analytical Hierarchy Process to calculate the criteria weights and GIS multi-criteria evaluation approach to calculate the CRI values. The coastal segments with high vulnerability often have low values of the exposure index. About 11% of the study area is under very high risk. The largest CRI values occur at a certain distance from the touristic or industrial spots near Klaipeda, around the Palanga pier and to the north of Sventoji. These coastal sectors are highly populated areas that suffer from sediments deficit due to coastal engineering structures.
引用
收藏
页码:785 / 800
页数:16
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