GSTDTAP
项目编号NE/R008884/1
Seismic imaging for improving flood defence management
Shane Donohue
主持机构Queen&#39 ; s University of Belfast
项目开始年2017
2017-11-14
项目结束日期2019-02-28
资助机构UK-NERC
项目类别Research Grant
项目经费140998(GBP)
国家英国
语种英语
英文摘要Partners: Environment Agency, Canal & River Trust, Northern Ireland Water/Aecom, RSK

Challenge: Our partners collectively own over 10,000km of water retaining earthworks (embankments/dams), which protect large areas of the UK from flooding. Recent effects of extreme weather on UK earthworks have highlighted their vulnerability to climate change with numerous failures reported across a range of infrastructure networks. Given that climatic variations are projected to become more extreme, developing and maintaining resilient infrastructure is essential to our partners and all UK geotechnical asset owners.
Early identification of poor/deteriorating earthwork condition is essential for cost effective maintenance and prevention of hazardous and expensive failures. Current earthwork condition assessment practice is, however, usually based on visual observations with little/no information available on their underlying internal condition. This project will demonstrate an innovative geophysical approach, using seismic surface waves (SW), for non-invasively assessing internal earthwork condition, while also adapting the outputs to ensure compatibility with our partner's management systems. This approach will support asset management decisions, including, for example, maintenance prioritisation; selection/configuration of monitoring works and selection/targeting of interventions. The speed of SW data acquisition, high spatial coverage and relative low-cost of these measurements will remove key barriers to preventative management.

Aims/Objectives: This project aims to translate the findings from a recent EPSRC project "GEOCARE" to asset owners/managers of water retaining earthworks that protect the UK from flooding. The objectives (O) and supporting activities (A) are:

O) Demonstrate an innovative approach for assessing internal earthwork condition.
A) SW data will be acquired at selected partner sites and will be used to derive 2D/3D asset condition models.

O) Adapt this technology to ensure compatibility with our partners' management systems.
A) Project staff will be seconded to each partner organisation for short periods in order to better understand their condition assessment practices, databases, and to optimise survey outputs to their requirements. Regular stakeholder meetings with our partners' will also ensure that scientific, engineering and information delivery developments are appropriate.

O) Permanently embed this knowledge and capability within our project partners.
A) In addition to secondments and stakeholder meetings, guidelines on the integration of SW into asset ranking, prioritisation and intervention planning will be written.

O) Widely disseminate the project's technological outcomes.
A) A workshop will be organised to showcase the project's technological outcomes to a wide audience. Results and recommendations will be further disseminated through a project website, articles in industry magazines and via a case study with CIRIA.

Main Deliverables: 2D/3D voxelated condition models will be developed for each partner's site, to showcase SW technology (D1). This will enable early informed decisions on maintenance and remediation to be made, thereby removing a barrier to preventative management. These models will be integrated within our partner's management systems (D2) following consultation and secondments at each organisation. Guidelines on the use of SW outputs in condition assessment practice (D3) will be developed for each partner to further embed the knowledge. A workshop will be organised to showcase the project's technological outcomes and benefits to proactive asset management to a wide stakeholder audience (D4). Results and recommendations will be further disseminated through a project website (D5), articles in industry magazines (D6) and via publication of a case study with CIRIA (D7).

Duration: 12 months

Total cost: £139,866
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/86911
专题环境与发展全球科技态势
推荐引用方式
GB/T 7714
Shane Donohue.Seismic imaging for improving flood defence management.2017.
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