Maths algorithm may address problem of population relocationApril 2nd, 2009 - 5:29 pm ICT by ANI
Washington, April 2 (ANI): An international team of scientists has devised a mathematical algorithm to address the problem of population relocation.
The team comprised of decision scientist Sajjad Zahir at the University of Lethbridge, Alberta, Canada, and colleagues Ruhul Sarker of the University of New South Wales, Canberra, Australia and Ziaul Al-Mahmud of Lethbridge Community Network.
The team’s multi-objective optimization approach will help governments decide what fraction of a population would need to be relocated and how many people could stay behind for effective adaptation to climate change.
The “multi-objective” nature of the calculation takes into account people’s preferences, various costs, and planning priorities with the ultimate aim of ensuring that the issue of relocation is addressed fairly and is economically viable.
Although mitigation measures are vitally important for controlling greenhouse gas emissions, there are limitations to such efforts novel approaches to allow us to adapt successfully to the effects of climate change are now needed, according to the researchers.
They point out that large-scale cross-border migrations may not be a feasible solution to land loss because of the societal costs and the effects on labor.
An influx of environmental refugees from the worst affected parts of the developing world is also likely to face opposition from the developed world, they added.
The team’s decision analysis factors in the “value” of new opportunities, lost opportunities, transportation costs, adaptation costs and other variables.
This allows them to balance the books in terms of how migration would affect a population.
“To make adaptation a success, part of the population must be prepared to adapt to new or different work opportunities and living conditions and others may have to be relocated in a planned way to new locations that require accepting different working and environmental conditions,” the researchers said.
“Our methodology lets us find the fraction of people who would be relocated and who would stay in an optimal manner,” they added. (ANI)
- Environment not a cost or obligation but intrinsic to business and growth: Jairam Ramesh - Apr 09, 2011
- Ice-age reptile extinctions shed light on responses to climate change - Dec 10, 2010
- Delhi leading the way in combating climate change: Dikshit - Feb 21, 2011
- Green growth should not result in slow growth cautions economic survey - Feb 25, 2011
- Population management key for sustainable development: Azad - Nov 01, 2011
- Bison bones show adaptability to climate change - Feb 01, 2012
- Lab-grown meat would cut emissions: Study - Jun 20, 2011
- How mass migration evolved - Sep 19, 2010
- Climate change to adversely impact Pakistan: Pachauri - Jan 14, 2009
- Climate change treaty must address health issues: WHO - Oct 19, 2010
- Adapting to warming could worsen climate change - Aug 07, 2010
- 10 mn Indians wish to move to US: Gallup poll - Apr 25, 2012
- UN asks China to suspend resettlement of Tibetan nomads - Feb 01, 2012
- G-20 Summit Declaration - Jun 20, 2012
- Rapid climate change forces scientists to evaluate extreme conservation strategies - May 26, 2009
Tags: al mahmud, canberra australia, decision analysis, effects of climate change, environmental condition, environmental refugees, feasible solution, greenhouse gas emissions, lethbridge alberta canada, mathematical algorithm, mitigation measures, new south wales, objective optimization, optimization approach, planning priorities, population relocation, societal costs, university of lethbridge, university of lethbridge alberta, university of new south wales