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Mountain
regions, population and their ecological problems:
Case
study of Mestia municipality
T.
Khardziani, M. Elizbarashvili*, R. Maisuradze, K. Bilashvili, Z.
Seperteladze, T. Khuntselia, T. Eradze, E. Davitaia,
N.
Jamaspashvili, G. Dvalashvili, T. Aleksidze, M. Sharashenidze, N. Rukhadze
and T. Gordeziani
Department of
Geography, Faculty of Exact and Natural Sciences, Ivane Javakhishvili Tbilisi
State University, Tbilisi, 0179, Georgia
*Corresponding
Author E-mail: mariam.elizbarashvili@tsu.ge
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Key
words
Ecological problems,
Mountain regions,
Population attitude
Publication Data
Paper received : 18.08.2016
Revised received : 23.06.2017
Accepted : 28.06.2017
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Abstract
Aim: Mountain regions
face specific challenges which require appropriate policies implemented in
accordance with the principle of sustainable development. The most important
aspect of sustainable development is direct consideration of population needs
when drawing the development plan. Thus, the aim of the study was to analyze
the opinions, attitudes and behavior of Mestia municipality population
towards the environment and identify the most important ecological problems.
Methodology:
895
people were surveyed in Mestia municipality. Stratified and cluster selection
methods were used for selection of respondents and compilation of database.
SPSS package was used for statistical analysis of survey results.
Results:
During
the study, 30.9% of population under taken during the survey of Mestia
municipality advocated landslide-mud flow processes as one of the major
ecological problems. Seventeen percent of respondents revealed that
unavailability/failure of sewerage systems is the number one ecological
problem, whereas 13.9% climate changes, extreme weather and climatic events
and floods.
Interpretation: Obtained results
are essential for elaboration of strategies for sustainable development of
various regions and are also quite interesting that indicates or reveals an
example of environment and mountain regions' population interdependence.
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Copyright
? 2017 Triveni Enterprises. All rights reserved. No part of the Journal can
be reproduced in any form without prior permission. Responsibility
regarding the authenticity of the data, and the acceptability of the
conclusions enforced or derived, rest completely with the author(s).
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