Fahim Nawroz Tonmoy

BSc. in Civil Engineering
M.Engg in Environmental Engineering
School of Civil Engineering, Room 360
Phone: +61 2 9351 5155
Fax: +61 2 9351 3343
Email:
Research project - Vulnerability and Adaptation to Climate Change: Development of a Stochastic Multi-Criteria Decision-Making and GIS Analysis Tools
Supervisor: A/Prof Abbas El-Zein
Associate Supervisor: Dr Federico Maggi
This research intends to develop a new GIS based stochastic vulnerability assessment method for Climate change vulnerability assessment. Vulnerability and adaptation to climate change are emerging as rich research and policy making study areas. Attempts at quantifying the vulnerability of an economic sector, a municipal area or a whole town remain difficult owing to, among others,
- The multidimensional nature of climate change impacts (e.g., heat-related mortality and morbidity, forest fires, threat to coastal structures, spread of vector-borne disease etc.);
- The complexity of interactions between biophysical and socio-political determinants of vulnerability in space and time; and
- The high degree of uncertainty found at almost every level of the vulnerability framework.
Research questions arise concerning the right vulnerability framework to use, how to identify suitable proxy indicators of adaptive capacity of a system, how to validate assessment frameworks and how to use vulnerability assessments as a tool for identifying and analysing adaptation policies.
The research project combines two methodologies, namely multi-criteria decision-making (MCDM) analysis algorithms and Geographical Information Systems (GIS), to develop more sophisticated stochastic approaches to vulnerability assessment at different scales (household, municipal, sectoral etc). The methods will incorporate various uncertainties in the exposure, sensitivity and adaptive capacity components of vulnerability and will be applied to data for cities in Australia and overseas.
The outcome of the project will be:
- More powerful tools for assessing vulnerability and analysing adaptation options at a municipal level;
- A better understanding of the effects of uncertainty on vulnerability assessment.
Publications
- Tonmoy Fahim N, Rahman Mafizur., Hidetoshi Kitawaki. (2009). Impact of Ground Water Depth on Arsenic and Iron Correlation in Bangladesh: GIS Approach. International Journal of Applied Environmental Sciences, Vol 4, Issue 4, pp 437-458.
- Tonmoy F. N, Rahman. Mafizur (2009), GIS mapping of correlation between arsenic and iron concentration of ground water of Bangladesh. Asian Journal of Water, Environment and Pollution, (Under review).