Analysis of land‐based parameters and development of multi‐criteria decision support system for demarcation of potential aquaculture sites in Nagapattinam, Tamil Nadu, India

Bibliographic Data

ID21647722
AuthorsR S Dharani Shrree (Department of Aquacultural Engineering, College of Fisheries Engineering Tamil Nadu Dr. J. Jayalalithaa Fisheries University Nagapattinam India), Mohammad Tanveer (0000-0002-8676-7178, Department of Aquacultural Engineering, College of Fisheries Engineering Tamil Nadu Dr. J. Jayalalithaa Fisheries University Nagapattinam India, corresponding author), U T Puja (Department of Aquacultural Engineering, College of Fisheries Engineering Tamil Nadu Dr. J. Jayalalithaa Fisheries University Nagapattinam India), Nila Rekha (Crustecean Culture Division ICAR‐Central Institute of Brackishwater Aquaculture Chennai India), N Aasha Rekha (Central Institute of Brackishwater Aquaculture), Akram Ahmed (ICAR‐Research Complex for Eastern Region, ICAR Parisar P.O. Bihar Veterinary College Patna India)
Year2024
Volume35
Issue5
Pages1927-1937
Publication date2024-03-01
Open AccessYes
TypeARTICLE
VenueLand Degradation and Development (JOURNAL)
Journal identifiersISSN: 1085-3278 • E-ISSN: 1099-145X
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ldr.5033
OpenAlexW4391144113
LanguageEN
Citations received2
References cited23

The aim of the present study was to develop a multi‐criteria decision support system to find out possible aquaculture sites available in Nagapattinam district of Tamil Nadu, India. This study focuses on identifying possible aquaculture sites available in Nagapattinam district using remote sensing and GIS approaches. A geographical model has been developed to choose the probable aquaculture sites. The remote sensing and geographic information system techniques were applied to study the decisive parameters that play a vital role in the site suitability for aquaculture purposes. The chosen decisive parameters viz., normalized difference vegetation index, digital elevation model, soil type, normalized difference water index, land use land cover area and land surface temperature were subjected to the development of decision support system. Moreover, four different multi‐criteria decision support techniques viz., weighted overlay, analytical hierarchy process, fuzzy classified analytical hierarchy process and fuzzy classified weighted overlay were applied in the present study. The results obtained from the study rendered that the weighted overlay and the analytical hierarchy process outperforms the fuzzy classified models. The suitability ratio of analytical hierarchy process and weighted overlay methods were found to be 12.7 and 12.4 respectively. A total of 25 locations were selected and mapped in the Nagapattinam region and their accuracy was checked. The analytical hierarchy process results were obtained with an accuracy of 84%. Hence, the analytical hierarchy process provided better results than the weighted overlay technique. The study rendered that the area of 7.22% is highly suitable for aquaculture. These findings are essential for the development of sustainable aquaculture, assisting stakeholders in selecting suitable aquaculture sites that maximize productivity while minimizing environmental degradation

Agroforestry · Aquaculture · Biology · Environmental planning · Fish · Fishery · Geography · Linguistics · Tamil · Water resource management · Environmental Science · Land Use and Ecosystem Services · Soil and Land Suitability Analysis · Water Quality Monitoring Technologies

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