个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职:党委常委、副校长
其他任职:副校长、党委常委
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:建设工程学院
学科:水文学及水资源. 人工智能. 计算机应用技术. 软件工程
办公地点:综合实验4号楼 411室
联系方式:0411-84708900
电子邮箱:czhang@dlut.edu.cn
Assessing real options in urban surface water flood risk management under climate change
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论文类型:期刊论文
发表时间:2018-10-01
发表刊物:NATURAL HAZARDS
收录刊物:SCIE、SSCI
卷号:94
期号:1
页面范围:1-18
ISSN号:0921-030X
关键字:Real options; Flood risk; Climate change; Adaptation measures; NPV; SuDS
摘要:Developing an adaptation option is challenging for long-term engineering decisions due to uncertain future climatic conditions; this is especially true for urban flood risk management. This study develops a real options approach to assess adaptation options in urban surface water flood risk management under climate change. This approach is demonstrated using a case study of Waterloo in London, UK, in which three Sustainable Drainage System (SuDS) measures for surface water flood management, i.e., green roof, bio-retention and permeable pavement, are assessed. A trinomial tree model is used to represent the change in rainfall intensity over future horizons (2050s and 2080s) with the climate change data from UK Climate Projections 2009. A two-dimensional Cellular Automata-based model CADDIES is used to simulate surface water flooding. The results from the case study indicate that the real options approach is more cost-effective than the fixed adaptation approach. The benefit of real options adaptations is found to be higher with an increasing cost of SuDS measures compared to fixed adaptation. This study provides new evidence on the benefits of real options analysis in urban surface water flood risk management given the uncertainty associated with climate change.