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Abstract

With the target of research is assess and classify the ability to adapt climate change for districts of Ba Ria-VungTau (BR-VT) province and proposed improve solutions, the authors used MCA, Entropy weighting and SAW methods to evaluate and achieve the results as follows: Developing indicators to assess climate change adaptable in BR-VT province includes 12 topics and 24 indicators corresponding to the provincial level. And adaptation indicators for the districts, including 9 topics and 16 indicators. The indicators belongs to two main groups to assess the vulnerability and adaptable to climate change; The results were evaluated by the provincial level adaptation period 2009 - 2012 shows that adaptation index has increased over the years and reached an average level of adaptation (52 points) for climate change and fluctuation of adaptation index is from 50.97 to 52.96; The adaptation index of the districts is low. Ba Ria city has the highest adaptation index 57.61 points – at average level, follows by Vung Tau city. The lowest is 49.29 points in Chau Duc district. Besides, authors proposing solutions to improve adaptation to climate change as the solution to landslide coast control, land erosion, maintain and development of coastal mangrove forests of the province and propose rice variety can adapt to saline aluma and get yield stable.



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Article Details

Issue: Vol 19 No 2 (2016)
Page No.: 109-121
Published: Jun 30, 2016
Section: Sciences of Earth and Environment - Research article
DOI: https://doi.org/10.32508/stdj.v19i2.722

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Creative Commons License

Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Ho, D., Hoang, N., & Che, L. (2016). Developing indicators to assess climate change adaptable in Ba ria-Vung tau province and proposed improve solutions. Science and Technology Development Journal, 19(2), 109-121. https://doi.org/https://doi.org/10.32508/stdj.v19i2.722

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