GSTDTAP
项目编号NE/R014361/1
Financial planning for natural disasters: the case of flooding risk in Central Java
Alistair Milne
主持机构Loughborough University
项目开始年2018
2018
项目结束日期2019-09-30
资助机构UK-NERC
项目类别Research Grant
项目经费269917(GBP)
国家英国
语种英语
英文摘要Loughborough will co-develop with our local partners and the flooding consultancy JBA associates a 'decision support framework' (or DSF) with demonstration software implemented in R and a series of analyses ('case studies') illustrating the use of loss and financial modelling to plan ahead for the financial consequences of extreme flood events. This DSF will be developed for analysing the potential use of financial instruments in two cities, Solo and Semarang, in Central Java Province, Indonesia. The main research task is developing a structured framework for model based analysis of financial loss from pluvial and fluvial flooding events. This will combine standard spatial data rainfall and flooding with local information e.g. on the exposure of infrastructure such as roads and bridge or location of vulnerable populations. The project will provide a software solution, incorporating exposure and financial modelling, with a graphical user interface for application by local disaster management agencies and other local stakeholders. A series of application case studies will provide illustrative applications at different levels of sophistication. At the end of the project the DSF will be handed over to our two local university partners for them to maintain and support post-project. We will also examine what lessons can be drawn from our research for improving financial planning for natural disasters (flooding and other hazards) and putting in place appropriate pre-arranged financing in Central Java, in other Indonesian provinces and in other countries.
来源学科分类Natural Environment Research
文献类型项目
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/86952
专题环境与发展全球科技态势
推荐引用方式
GB/T 7714
Alistair Milne.Financial planning for natural disasters: the case of flooding risk in Central Java.2018.
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