Abstract
Aquaculture sector has developed rapidly since the last decade and its development have been unregulated, which has caused many ecological problems. In this regard, this study has been undertaken to identify potential zone for sustainable aquaculture development. Thiruvallur district coastal sub-watershed boundary has been taken as the study area which has been delineated using SRTM DEM, toposheet, and also using watershed data collected from the agriculture department, Tamil Nadu. Water sources available in the study area are Pulicat Lake, Buckingham Canal, Arani River, and Kosathalaiyar River. Pulicat and Buckingham Canal are the major sources for aquaculture in the Thiruvallur district since Kosathalaiyar and Arani River are ephemeral in nature. A pair wise comparison matrix has been used to assign weightage to each criterion based on its relative importance. Various thematic maps were integrated into multi-criteria factors such as water quality, soil characteristics, infrastructure factors, and land use type to identify potential aquaculture zone using remote sensing and GIS. To ensure sustainable aquaculture development constrain, parameters have been framed according to coastal aquaculture authority regulations for mangroves, settlement, drinking water source and ecologically sensitive areas. The existing aquaculture farm in the study area has been mapped using Sentinel 2, it is about 660.65 hectares and the potential extend of the area available for aquaculture development estimated using AHP method is about 630 hectares.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Change history
03 November 2022
Correction to: Chapter 36 in: T. D. Lama et al. (eds.), Transforming Coastal Zone for Sustainable Food and Income Security, https://doi.org/10.1007/978-3-030-95618-9_36
References
APHA (2005) Standard methods for the examination of water & wastewater. In: Eaton AD, Clesceri LS, Franson MAH et al (eds) 21st ed. American Public Health Association, Washington, DC
Belton B, Thilsted SH (2014) Fisheries in transition: food and nutrition security implications for the global South. Glob Food Sec 3(1):59–66. https://doi.org/10.1016/j.gfs.2013.10.001
Boyd CE (1995) Bottom soils, sediments, and pond aquaculture. Chapman & Hall, New York
Boyd CE, Tucker CS (1998) Pond aquaculture water quality management. Kluwer Academic Publishers, Norwell, MA
Campbell JB and Wynne RH (2011) Introduction to remote sensing, vol 5. Guilford Press, New York, USA, pp 408–428. https://doi.org/10.3390/rs5010282
Coastal Aquaculture Authority (CAA) (2014) Compendium of acts, rules, regulations and other notifications, p 236. http://www.caa.gov.in/uploaded/doc/COMPUPD2014.pdf. Accessed 11 May 2019
De Silva SS (2001) A global perspective of aquaculture in the new millennium. In: Subasinghe RP, Bueno P, Phillips MJ et al (eds) Aquaculture in the third millennium. NACA, Bangkok, pp 431–459
Eastman JR, Kyem PAK, Toledano J et al (1993) GIS and decision making. In: Explorations in geographic information systems technology, vol 4. United Nations Institute for Training and Research, Geneva.
Falconer L, Middelboe AL, Kaas H et al (2019) Use of geographic information systems for aquaculture and recommendations for the development of spatial tools. Rev Aquacult 1–14. https://doi.org/10.1111/raq.12345
FAO (2020) The state of world fisheries and aquaculture 2020. Sustainability in action, Food and Agriculture Organization, Rome. https://doi.org/10.4060/ca9229en
Giap DH, Yi Y, Kwei Lin C (2005) Effects of different fertilization and feeding regimes on the production of integrated farming of rice and prawn Macrobrachium rosenbergii (De Man). Aquacult Res 36(3):292–299. https://doi.org/10.1111/j.1365-2109.2005.01244.x
Hadipour A, Vafaie F, Hadipour V (2015) Land suitability evaluation for brackish water aquaculture development in coastal area of Hormozgan, Iran. Aquacult Int 23:329–343. https://doi.org/10.1007/s10499-014-9818-y
Hossain MS, Chowdhury SR, Das NG et al (2009) Integration of GIS and multi-criteria decision analysis for urban aquaculture development in Bangladesh. Landsc Urban Plann 90(3–4):119–133. https://doi.org/10.1016/j.landurbplan.2008.10.020
IPCC (2014) Geneva. In: Pachauri RK, Meyer LA (eds) Climate change 2014: synthesis report. Contribution of working groups I, II and III to the fifth assessment report of the Intergovernmental Panel on Climate Change, vol. 151. http://www.ipcc.ch/pdf/assessmentreport/ar5/syr/SYR_AR5_FINAL_full_wcover.pdf.
Lillesand TM, Kiefer RW (2000) Remote sensing and image interpretation, 4th edn. Wiley, New York
Natale F, Hofherr J, Fiore G et al (2012) Interactions between aquaculture and fisheries. Mar Pol 38:205e213. https://doi.org/10.1016/j.marpol.2012.05.037
Nayak AK, Kumar P, Pant D et al (2018) Land suitability modelling for enhancing fishery resource development in Central Himalayas (India) using GIS and multi-criteria evaluation approach. Aquacult Eng 83:20–129. https://doi.org/10.1016/j.aquaeng.2018.10.003
Nila Rekha P, Gangadharan R, Dharshini S et al (2017) Digital database on shrimp farming in coastal watershed of Cuddalore District, Tamil Nadu. Indian J Fish 64(SI):39–45
NRSA (1995) Integrated mission for sustainable development (IMSD)—technical guidelines. National Remote Sensing Agency, Hyderabad, India
Ottinger M, Clauss K, Kuenzer C (2016) Aquaculture: relevance, distribution, impacts and spatial assessments—a review. Ocean Coast Manag 119:244–266. https://doi.org/10.1016/j.ocecoaman.2015.10.015
Paez-Osuna F (2001) The environmental impact of shrimp aquaculture: causes, effects, and mitigating alternatives. Environ Manag 28(1):131–140. https://doi.org/ https://doi.org/10.1007/s002670010212.
Perez OM, Telfer TC, Ross LG (2003) Use of GIS-based models for integrating and developing marine fish cages within the tourism industry in Tenerife (Canary Islands). Coast Manag 31(4):355–366. https://doi.org/10.1080/08920750390232992
Primavera JH (2006) Overcoming the impacts of aquaculture on the coastal zone. Ocean Coast Manag 49(9–10):531–545. https://doi.org/10.1016/j.ocecoaman.2006.06.018
Radiarta IN, Saitoh SI, Miyazono A (2008) GIS-based multi-criteria evaluation models for identifying suitable sites for Japanese scallop (Mizuhopecten yessoensis) aquaculture in Funka Bay, southwestern Hokkaido, Japan. Aquaculture 284(1–4):127–135. https://doi.org/10.1016/j.aquaculture.2008.07.048
Richards DR, Friess DA (2016) Rates and drivers of mangrove deforestation in Southeast Asia, 2000–2012. Proc Natl Acad Sci Unit States Am 113(2):344–349. https://doi.org/10.1073/pnas.1510272113
Saaty TL (1977) A scaling method for priorities in hierarchical structures. J Math Psychol 15(3):234–281. https://doi.org/10.1016/0022-2496(77)90033-5
Saaty TL (2008) Decision making with the analytic hierarchy process. Int J Serv Sci 1(1):83–98. https://doi.org/10.1504/IJSSCI.2008.017590
Salam MA, Ross LG, Beveridge CM (2003) A comparison of development opportunities for crab and shrimp aquaculture in southwestern Bangladesh, using GIS modeling. Aquaculture 220(1–4):477–494. https://doi.org/10.1016/S00448486(02)00619-1
Senarath U, Visvanathan C (2001) Environmental issues in brackish water shrimp aquaculture in Sri Lanka. Environ Manag 27(3):335–348. https://doi.org/10.1007/s002670010153
Stelzenmüller V, Gimpel A, Gopnik M et al (2017) Aquaculture site-selection and marine spatial planning: the roles of GIS-based tools and models. In: Buck B, Langan R (eds) Aquaculture perspective of multi-use sites in the open ocean, Springer, Cham. https://doi.org/10.1007/978-3-319-51159-7_6
Thomas N, Lucas R, Bunting P et al (2017) Distribution and drivers of global mangrove forest change, 1996–2010. PLoS ONE 12(6):1–14. https://doi.org/10.1371/journal.pone.0179302
Vafaie F, HadipourA HV (2015) GIS-based fuzzy multi-criteria decision making model for coastal aquaculture site selection. Environ Eng Manag J 14(10):2415–2425
Young N, Brattland C, Digiovanni C et al (2019) Limitations to growth: social-ecological challenges to aquaculture development in five wealthy nations. Mar Pol 104:216–224. https://doi.org/10.1016/j.marpol.2019.02.022
Acknowledgements
We are grateful to NABARD for funding this work. We are also thankful to Director, ICAR-CIBA for the support and facility to carry out this work.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Raja, R.N., Rekha, P.N., Sarkar, S., Sunny, A., Chandrasekar, V., Balasubramanian, C.P. (2022). Mapping of Aquaculture Potential Zones Using Geospatial Multi-Criteria Method for Sustainable Aquaculture Development-Thiruvallur District. In: Lama, T., Burman, D., Mandal, U.K., Sarangi, S.K., Sen, H. (eds) Transforming Coastal Zone for Sustainable Food and Income Security. Springer, Cham. https://doi.org/10.1007/978-3-030-95618-9_36
Download citation
DOI: https://doi.org/10.1007/978-3-030-95618-9_36
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-95617-2
Online ISBN: 978-3-030-95618-9
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)