Multi-hazard events pose greater threats to populations and economies compared to single hazard event. A recent study showed that
although multi-hazard events constituted about one-fifth of the total number of natural hazards globally between 1900 and 2023, they
were responsible for 59% of total economic losses. Accurate delineation of multi-hazard risk-prone zones is essential for providing
insights before such hazards occur, enabling the design and implementation of effective risk management and mitigation measures.
Geospatial technologies including earth observations, geographic information system (GIS), global positioning system (GPS), and
spatial statistics are vital in mapping multi-hazard events by integrating various data sources and analytical methods to enhance the
accuracy and efficiency of hazard mapping processes. Furthermore, they play crucial roles in mapping, predicting, monitoring, and
assessing natural hazards, thereby providing valuable insights for disaster preparedness and response. Integrated approaches that
combine hazard mapping with vulnerability assessments can produce comprehensive multi-hazard risk maps, aiding spatial planning
and decision-making processes.<\/p>\n\n\n\n
Aim <\/p>\n\n\n\n
This research aims to integrate various data sources related to earth observations and in-situ measurements using geospatial
technologies to assess multi-hazard risks.<\/p>\n\n\n\n
Objectives <\/p>\n\n\n\n
Significance <\/p>\n\n\n\n
Analysing hazard interactions and interrelations is essential for multi-hazard risk mapping, emphasizing the need to understand how
different hazards can compound and escalate risks. By considering the coupling of various types of hazards, integrated risk maps can
be developed, combining hazard intensity with vulnerability assessments to provide a holistic view of multi-hazard scenarios. However, mapping multi-hazard events and subsequent risks is challenging due to the complex interactions between various hazards in time and space and the presence of different methodologies to quantify hazard interactions. While many attempts have been made to map and assess multi-hazard risks, many ignore the dynamic interactions between hazards. Stability across the Indian Ocean is of paramount importance for Australia. Hence, effective management of multi-hazard could help low-income countries to adapt with climate-driven risks.
Climate warming is expected to result in many adversities (such as sea level rise, heatwaves, cyclones, floods), which have the
potential to affect populations and economies. However, better preparedness can help minimise loss and damages associated with
increased incidence of natural hazards. The intersection of exposure, sensitivity and adaptive capacity has not been achieved to-date
but is necessary to inform public policies and enhance early warning systems.
Geospatial technologies have advanced considerably in the last few decades. They offer sophisticated tools for data management and analysis, risk modelling and evaluation and digital communications. A holistic and synergistic approach combined with science,
technology and innovation can empower local people to address increasing risk to multiple hazards. The project can use Google Earth Engine (GEE) to work with multi-dimensional data and analytics. The proposed work is directly aligned with the Spatial Science
discipline.<\/p>\n\n\n\n
Ideal Candidate <\/p>\n\n\n\n
We are looking for a highly motivated PhD candidate with excellent organisation, problem-solving and project management skills.
Candidates with strong computational and quantitative skills are encouraged to apply for this project. The candidate must be eligible to apply for a PhD programs at Curtin.<\/p>\n\n\n\n
This project is open to International and Domestic applicants. <\/p>\n\n\n\n
Internship <\/p>\n\n\n\n
An internship may be available for this project. The project is closely aligned with the National Disaster Risk Reduction (NDRR). The
internship will involve an unpaid three months in National Hazards Research Australia. An internship plan will be developed prior to
milestone one.<\/p>\n\n\n\n
Scholarship <\/p>\n\n\n\n
If you are identified as the preferred candidate for this project, you may be considered for an RTP scholarship<\/a>. <\/p>\n\n\n\n Enquires and How to Apply <\/p>\n\n\n\n For enquires about this opportunity contact Assosiate Professor Ashraf Dewan at A.Dewan@curtin.edu.au<\/a><\/p>\n\n\n\n