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Fuzzy analytic hierarchy process (FAHP) for identification of potential cage farming sites for aqua tourism development in Muttukadu Lagoon, Chennai, India: Gavin Burnell.

Authors :
Raja Raja, Nishan
Peter, Nila Rekha
Puthiyedathu, Sandeep Kizhakkekarammal
Vasudevan, Chandrasekar
Sarkar, Soumyabrata
Sunny, Albin
Source :
Aquaculture International. Apr2024, Vol. 32 Issue 2, p2093-2114. 22p.
Publication Year :
2024

Abstract

Cage farming in brackishwater resources is an emerging activity in India. Scientific planning and implementation would promote livelihood enhancement and sustainable development for the coastal community. Lagoons and backwaters are often developed for tourism and water sports activities. Identification of potential cage farming locations would improve aqua tourism and generate additional revenue for the fisherman. Hence, this study aims to locate viable cage farming locations in the Muttukadu brackishwater ecosystem, one of the most important lagoon systems on the east coast of Chengalpattu district, Tamil Nadu, for aqua tourism development. Water quality, environmental, and accessibility factors were considered the main factors for identifying suitable cage farming sites. Fourteen designated sampling points covering the lagoon were identified, and water samples were collected and analyzed at monthly intervals from December 2019 to January 2022. Each factor was further sub-classified and ranked by assigning appropriate weightage using the fuzzy analytic hierarchy process (FAHP), one of the multiple-criteria decision-making (MCDM) methods. For sustainable farming, it is important to consider ecologically sensitive areas and other constraining factors. ArcGIS Pro was used to map all the factors for identifying potential cage farming sites. The result shows the potential area available for cage farming development is about 11.52 ha, out of which 0.93 ha is highly suitable, and 10.59 ha is moderately suitable. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09676120
Volume :
32
Issue :
2
Database :
Academic Search Index
Journal :
Aquaculture International
Publication Type :
Academic Journal
Accession number :
176627437
Full Text :
https://doi.org/10.1007/s10499-023-01259-5