Community-based earthquake disaster risk reduction in China: integrating local and scientific knowledge for planning and preparedness

Lead Research Organisation: Newcastle University
Department Name: Sch of Engineering

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Planned Impact

The outcomes of our research will have impact at local and national levels in China. At national level, our work should help to refine the guidelines for comprehensive disaster reduction demonstration communities, as defined by the Ministry of Civil Affairs (MoCA). The research will generate understanding of the factors that affect community participation and engagement in DRR activities, which will be of direct relevance to MoCA officials in considering how to improve the criteria for demonstration communities and the mechanisms by which those communities are chosen and monitored. The model of co-produced strategies to deal with earthquake risk may also be of relevance to MoCA as a way of enhancing the existing approaches to CBDRR. We also expect that some of the co-produced strategies for DRR actions will be of interest to MoCA as examples of activities that could be trialled more widely.

Our assessment of landslide hazard will result in novel characterisation of landslides in the study region. We will produce a set of practical tools with which to evaluate these hazards in exposed communities, allowing us to extend this work to other earthquake- and landslide-prone areas beyond the target communities. This understanding will be of major potential benefit to the China Earthquake Administration (CEA), which has statutory responsibility for assessment of earthquake hazard in China.

At local level, our project will have direct impact on awareness and preparation for earthquakes in our chosen case-study communities. A fundamental goal of our work is to understand the factors that can enhance sharing of awareness and information between different communities (broadly defined). We will thus aim to emphasise the aspects of our results that are transferrable - between different elements of a single case-study settlement, and between the study region and other tectonically-active parts of China.

Our primary pathway to impact with MoCA will be through PI Fan through the China National Disaster Reduction Committee and the National Disaster Reduction Center of China, which sits within MoCA. Prof Fan will broker key contacts within MoCA on CBDRR, including officials with interests in both demonstration community guidelines and in DRR reporting requirements under the Sendai Framework. We will organise a series of workshops in Beijing with key MoCA and CEA staff; these will be used to create quick-turnaround publications that summarise the state of CBDRR in China, along with recommendations for follow-up work.

We also expect that project will generate new understanding of the controls on, and limits to, community participation in China for DRR purposes. This understanding will be formalised in a report to MoCA that will outline how the Chinese government can implement its reporting responsibilities under the Sendai Framework for DRR.

Impact with CEA will be through Zhang Peizhen and Su Guiwu and their existing contacts with PI Densmore. We will coordinate the timing of field work in China to allow the direct exchange of information on primary earthquake hazard between different projects. Key CEA staff will also be involved in the Beijing meetings in Y1 and Y3. We will also run a training course for the CEA on landslide mapping and statistical analysis at the end of Y3, as part of the final Beijing workshop.

Finally, we will use the EwF partnership (which spans more than a dozen earthquake-prone countries throughout Eurasia) to share wider international perspectives on landslide hazard and CBDRR. For example, we will broker discussions between MoCA officials and EwF partners in the Nepal Risk Reduction Consortium, Bihar State Disaster Management Authority (India), and Kazakhstan Red Crescent Society with expertise and interests in evaluating characteristics of disaster-resilient communities.

Publications

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Dai K (2018) POTENTIAL LANDSLIDE EARLY DETECTION NEAR WENCHUAN BY A QUALITATIVELY MULTI-BASELINE DINSAR METHOD in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

 
Description We have compiled the inventories of the landslides triggered by the 1920 Haiyuan, the 2008 Wenchuan and the 2015 Gorkha earthquakes, and analysed their characters such as mobility, size and distribution. All the information has been used to generate landslide scenarios for risk assessment.

A framework of earth observation based landslide early warning system has been proposed and implemented.
Exploitation Route The framework of EO-based landslide EWS could be put to use.
Sectors Education,Environment

 
Description Can satellites be used as an early warning system for landslides?
Geographic Reach Asia 
Policy Influence Type Implementation circular/rapid advice/letter to e.g. Ministry of Health
Impact At about 5:38am local time on 24 June 2017 (21:38 on 23 June 2017 UTC), a massive landslide struck Xinmo Village, Maoxian County, Sichuan Province in China. The Maoxian landslide swept 64 homes in Xinmo village, blocking a 2km section of river and burying 1,600 meters of road. Three days later (on 27 June 2017), a second landslide hit Xinmo Village; almost in the same time, another landslide occurred in Shidaguan Town, 20km away from Xinmo Village. The team from Newcastle University (UK), Chengdu University of Technology (CUT), Tongji University, China Academy of Space Technology and Wuhan University (China) raced against time to respond these two events by combining ESA's Sentinel-1, Chinese Gaofen-2/3 with field observations. Our study convincingly demonstrated that InSAR can be used to detect and map active landslides over a wide region, identifying the source of the landslide and also its boundaries. Going forward, we can use this information to set up real-time monitoring systems -- such as GPS, Beidou and Galileo -- for those sites and whenever we detect abnormal behaviour, the system can send out an early warning message. Through our collaborator from CUT, our landslide early warning system concept was demonstrated to senior officers of Sichuan Provincial government within days after the Maoxian landslides. In the end of July 2017, the provincial government decided to carry out satellite radar project to identify potential landslides in Sichuan Province.
URL https://www.preventionweb.net/news/view/54209
 
Description Invited Presentation in the 2019 Major Geological Hazard Identification and Early Warning Workshop, Chengdu, 18-19 May 2019
Geographic Reach Asia 
Policy Influence Type Influenced training of practitioners or researchers
Impact Over 500 people attended the 2019 Major Geological Hazard Identification and Early Warning Workshop, Chengdu, 18-19 May 2019, in which Prof Zhenhong Li presented an invited talk on "Landslide Detection and Monitoring with Satellite Radar Observations: Challenges and Solutions". This led to a few discussion on potential collaborations.
 
Description Radar training course for a delegation from China Academy of Space Technology (CAST)
Geographic Reach Asia 
Policy Influence Type Influenced training of practitioners or researchers
Impact In the CAST Radar Training Course, we have demonstrated how to best collect observations with radar satellites (e.g. Sentinel-1A/1B, TanDEM-X) and provided some suggestions to the observational plan of Chinese Gaofen-3 satellite.
 
Description Dragon-4: Earth observations for geohazard monitoring and risk assessment
Amount € 70,000 (EUR)
Organisation European Space Agency 
Sector Public
Country France
Start 10/2017 
End 06/2020
 
Description Science for Humanitarian Emergencies & Resilience (SHEAR) Catalyst grants - Web-Based Natural Dam-Burst Flood Hazard Assessment and ForeCasting SysTem (WeACT)
Amount £252,891 (GBP)
Funding ID NE/S005919/1 
Organisation Natural Environment Research Council 
Sector Public
Country United Kingdom
Start 11/2018 
End 10/2020
 
Description Success in Chinese radar mission: First interferograms from Gaofen-3 
Organisation China Academy of Space Technology
Country China 
Sector Private 
PI Contribution The main contributions of the Newcastle team were their expertise on radar interferometric processing and satellite orbit determination.
Collaborator Contribution The CAST team collected all the Gaofen-3 radar images requested by the Newcastle team and provided the datasets to the latter. The former also provided their expertise on radar missions and SAR processing.
Impact The collaboration between Professor Zhenhong Li's team at Newcastle University and the China Academy of Space Technology (CAST) generated interferograms using Chinese Gaofen-3 (GF-3) imagery for the first time in March 2017. These were also the first interferograms from Chinese SAR missions. CAST sent a delegation with 10 members to Newcastle for a radar training course in Jan 2018.
Start Year 2016
 
Description Mr Jiang Sunan, Minister Counsellor of Science and Technology Section, Chinese Embassy visited Professor Li's Imaging Geodesy Team (14 Mar 2017) 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Policymakers/politicians
Results and Impact Mr Jiang Sunan, Minister Counsellor of Science and Technology Section, Chinese Embassy and his colleague visited Professor Zhenhong Li's Imaging Geodesy Team at Newcastle University on 14 Mar 2017. Professor Li introduced his main research topics including satellite geodesy, remote sensing and their applications to geohazards (e.g. earthquakes, landslides and city subsidence), infrastructure stability and precision agriculture.

The direct outcome of this event was that Professor Zhenhong Li was invited to deliver presentations at the UK-China Science and Innovation Forum held in the Royal Society London on 6 December 2017 (http://www.ncl.ac.uk/engineering/news/item/professorshowcasesresearchattheroyalsociety.html).
Year(s) Of Engagement Activity 2017
 
Description School talk (Southridge First School, Whitley Bay) 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Schools
Results and Impact Professor Zhenhong Li was invited to give a talk to 60 students in Southridge First School, Whitley Bay. He introduced satellites and their potential applications (e.g. earthquakes, volcanoes, flooding and agriculture), which sparked questions and discussion afterwards. It appeared that a couple of students decided to become a professor in the future!
Year(s) Of Engagement Activity 2017
 
Description The UK-China Research and Innovation Impact Festival and Gala Reception in Beijing on 08 November 2018 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Policymakers/politicians
Results and Impact The UK-China Research and Innovation Impact Festival and Gala Reception was a 'Science fair'-style exhibition. Nine UK-China joint projects were invited to demonstrate their values and impact. Over 250 people including several (deputy) directors of research councils in China and the UK attended this event.
Year(s) Of Engagement Activity 2018
URL https://www.ukri.org/news/impact-and-breadth-of-uk-china-collaboration-on-show-at-china-launch-of-uk...