Menu:

 

 

Volume 23, Issue 1 - June 2023

 

Download (3360KB, PDF)

 

 

  • Abstract / Resumo
  • References / Bibliografia
  • Citations / Citações

Revista de Gestão Costeira Integrada
Volume 23, Issue 1, June 2023, Pages 7-26

DOI: 10.5894/rgci-n489
*Submission: 2 DEC 2021; Peer review: 22 DEC 2021; Revised: 7 SEP 2023; Accepted: 7 SEP 2023; Available on-line: 7 FEB 2024

Quantifying the Interactions of Landuse Allocation and Coastal Zone Systems: A Conceptual Framework

P. P. Anilkumar@ 1, Koshy Varghese2, L. S. Ganesh3, K. S. Krishnaveni4

@ Corresponding author: ppa@nitc.ac.in

1 National Institute of Technology Calicut, Kerala, India - Role: work conception, interpretation of data; design of the project, acquisition of data taxonomic identification; manuscript writing

2 Dept. of Civil Engineering, Indian Institute of Technology, Chennai, India-Role: Work guidance, Insights for data analysis, Interpretation of results. Email: koshy@iitm.ac.in

3 Dept. of Management Studies, Indian Institute of Technology, Chennai, India-Role: Work guidance, Statistical analysis, Interpretation of results. Email: lsg@iitm.ac.in

4 National Institute of Technology, Kozhikode, India-Role: Content organisation, Manuscript revision. Email: kveni07@gmail.com

ABSTRACT
This paper presents a conceptual framework for quantifying the impact of landuse on coastal zone systems from a planning perspective. The framework is validated in a coastal zone stretch in Kerala, South India. Coastal critical landuses are identified through an expert questionnaire survey, and their relationship with the Coastal Zone Health Indicator (CHI) is established using the Analytic Hierarchy Process (AHP). The framework, which integrates the CHI models and the CHI Landuse Interaction Matrix (CLIM), is used to compute the changes in CHI values based on different landuse options. The proposed framework was validated using real-life landuse allocation cases in Kozhikode, Kerala, India, and the results showed that the framework could better assess and quantify landuse impacts. The framework is adaptable to different coastal contexts, and its capabilities can be enhanced by incorporating more specific algorithms. The methodology is a potential tool for decision-makers to promote better coastal sustainability by adopting appropriate governance policies and landuse planning decisions.

Keywords: Urban/Landuse Planning; Coastal Policy; Landuse Impact; Urban Coastal Management; Coastal Cities.

RESUMO
Este artigo apresenta um marco conceitual para quantificar o impacto da utilização do solo nos sistemas de zona costeira a partir de uma perspectiva de planejamento. O marco é validado em uma região costeira em Kerala, na Índia do Sul. As utilizações críticas da costa são identificadas por meio de uma pesquisa com questionário para especialistas e sua relação com o Indicador de Saúde da Zona Costeira (CHI) é estabelecida usando o Processo de Hierarquia Analítica (AHP). O marco, que integra os modelos CHI e a Matriz de Interação de Utilização do Solo do CHI (CLIM), é usado para calcular as mudanças nos valores do CHI com base em diferentes opções de utilização do solo. O marco proposto foi validado usando casos reais de alocação de utilização do solo em Kozhikode, Kerala, na Índia, e os resultados mostraram que o marco pode melhor avaliar e quantificar os impactos da utilização do solo. O marco é adaptável a diferentes contextos costeiros e suas capacidades podem ser aprimoradas ao incorporar mais algoritmos específicos. A metodologia é uma ferramenta potencial para os tomadores de decisão promoverem uma melhor sustentabilidade costeira através da adoção de políticas adequadas de governança e decisões de planejamento de utilização do solo.

Palavras-chave: Planejamento Urbano/Uso da Terra; Política Costeira; Impacto do Uso da Terra; Gerenciamento Costeiro Urbano; Cidades Costeiras.

 

Agenda 21, Chapter 17: Protection of the oceans, all kinds of seas, including enclosed and semi-enclosed seas, and coastal areas and the protection, rational use, and development of their living resources.

Airoldi, L., Beck, M. W., Firth, L. B., Bugnot, A., Steinberg, P. A., & Dafforn, K. A. (2021). Emerging solutions to return nature to the urban ocean. Annual Review of Marine Science, 13, https://doi.org/10.1146/annurev-marine-032020-020015 Anilkumar, P.P, Varghese, K., and Ganesh, L, S., (2010). Formulating a coastal zone health metric for landuse impact management in urban coastal zones. Journal of Environmental Management, 91: 2172-2185.

Anthony, G. (2010). The Coastal sustainability standard; A management system approach to ICZM. Ocean and Coastal Management. 53:336-249.

Areizaga, J., Sano, M., Median, R., juanes, J. (2012). A methodological approach to evaluate progress and public participation in ICZM; the case of the Cantabria Region, Spain. Ocean and Coastal Management. 59:63-76.

Ballinger, R.C., (2017). An introduction to integrated coastal zone management IN Marine and Coastal Resource Management: Principles and Practice edited by David R. Green, Jeffrey L. Payn.

Bao, J., Gao, S., Ge, J., (2019). Dynamic land use and its policy in response to environmental and social-economic changes in China: A case study of the Jiangsu coast (1750–2015). Land Use Policy, 82, 169–180.

Barragán, J.M., de Andrés, M., (2015). Analysis and trends of the world’s coastal cities and agglomerations. Ocean and Coastal Management, 114, 11–20.

Bathrellos, G.D et al., (2011). Potential suitability for urban planning and industry development using natural hazard maps and geological-geomorphologic parameters. Environmental Earth Science 66: 537-548.

Beach, D., (2002). Coastal Sprawl: The Effects of Urban Design on Aquatic Ecosystems in the United States, Report of Pew Oceans Commission, Arlington, VA.

Burak, S., Dogan, E., Gaziloglu, 2004. Impact of Urbanization and tourism on Coastal Environment. Ocean and Coastal Management 47:515-527.

Capobianco, M, (1999). Final Report of the EU Demonstration programme of Integrated Management on Coastal zones, 1997-1999, Role and Use of Technologies in relation to ICZM., Technomare Reference 636A0753-REL-G800-002.1, Final Report; 1.6; 26-03-99.

Caviedes, V., Arenas-Granados, P., & Barragán-Muñoz, J. M. (2022). Integrated Coastal Zone Management on a transnational area: The Gulf of Honduras. Marine Policy, 136, 104931.

https://doi.org/10.1016/j.marpol.2021.104931

Chua,T,E., Y, Humirg., and G,Chen. (1997). From sectoral to integrated coastal management; a case in Xiamen, China. Ocean and Coastal Management 37(2): 233-253.

Chuai, X.W.; Huang, X.J.; Wu, C.Y., (2016). Land use and ecosystems services value changes and ecological land management in coastal Jiangsu, China. Habitat International, 57, 164–174.

Clark, J, A., (1998). Coastal zone management for the new century. Ocean and Coastal Management. 37(3):191-216.

Clark, A., (2016). A Comparative Analysis of Conventional and Emerging Methods for Characterizing Coastal Morphology and Change, University of Prince Edward Island

David, H. (2009). Land use and the Coastal Zone. Landuse Policy, 26(1): 5198-5203.

Delden, H., & Vanhout, R., (2021). RamCo: An integrated assessment tool for sustainable coastal zone management, “Climate of Coastal Cooperation”, Young Professionals Coastal Community, http://ypcc.eu/ccc-2/ccc-extended-internet-publication/ccc-part-iii/.

Dhiman, R., Kalbar, P., & Inamdar, A. B., (2019). Spatial planning of coastal urban areas in India: Current practice versus quantitative approach. Ocean and Coastal Management, 182 doi: 10.1016/j.ocecoaman.2019.104929

Diaz, R, J, and Rosenberg, R, (2008). Spreading dead zones and consequences for marine ecosystems. Science. 321- 5891: 926-9.

Eastman JR., Jiang, H., Toledano, J., (1998). Multi-criteria and multi-objective decision-making for land allocation using GIS. In: Beinat E, Nijkamp P (eds) Multicriteria analysis for land-use management. Kluwer, pp 227–251 Eneko, G., Gonzelo, G., javier, F., Joxe, M, G.,Pedro, L., Marta, O, (2010).Social Multi-criteria evaluation as a decision support tool for integrated coastal zone management. Ocean and Coastal Management, 53(7): 385-403.

Elliott, M., Borja, A., Cormier, R., (2020) Managing marine resources sustainably: A proposed integrated systems analysis approach, Ocean & Coastal Management, Volume 197.

Eva P. H., Aaron M. S., Luis H. C., María L. M., (2019) Beach surface lost historically: The case of the eastern coast of Las Palmas de Gran Canaria (Canary Islands, Spain), Ocean and Coastal Management, https://doi.org/10.1016/j.ocecoaman.2019.105058 Finkl, C.W., (2016). Coastal Zones: Solutions for the 21st Century, Journal of Coastal Research 32(6), 1508-1509

Forman, E H. (2001). The Analytic Hierarchy Process, An Exposition. Chronicle. 49(4): 469-486.

Foucat, A, V, S., (2002). Community-based Eco-tourism management moving towards Sustainability in Ventanillo, Oaxaca, Mexico, Ocean and Coastal Management 45: 511-529.

Frank, V. K., Carel D., Paul S., & Martin W., (2007). Applicability of Decision Support Systems for Integrated Coastal Zone Management, Coastal Management, 36:1, 19-34

Gilman, E. (2002). Guidelines for coastal and marine site planning and examples of Planning and Management intervention tools. Ocean and Coastal Management 45: 377-404.

Giuseppe I., Giuseppe S., Roberta S., (2013). From coastal management to environmental management: The sustainable eco-tourism program for the mid-western coast of Sardinia (Italy), Land Use Policy., 31:460-471 Gumbira, G., & Harsanto, B., (2019). Decision Support System for An Eco-Friendly Integrated Coastal Zone Management (ICZM) in Indonesia. International Journal on Advanced Science Engineering Information Technology, 9(4), 1177–1182.

Hong, Y. (2013). Characterizing landuse changes in 1990-2010 in the coastal zone of Nantong, Jiangsu province, China. Ocean and Coastal Management, 71: 118-115.

Jayanthi, M., Kumaran, M., Vijayakumar, S., Duraisamy, M., Anand, P., Samynathan, M., Thirumurthy, S., Kabiraj, S., Vasagam, K., Panigrahi, A., & Muralidhar, M. (2022). Integration of land and water resources, environmental characteristics, and aquaculture policy regulations into site selection using GIS based spatial decision support system. Marine Policy, 136, 104946.

https://doi.org/10.1016/j.marpol.2021.104946

Jiang, Y., Kirkman, H., and Hua, A. (2001). Megacity Development: Managing Impacts on Marine environments. Ocean and Coastal zone Management. 44: 293-318

Juanes, J.A. Gómez, A.G., S. Rubio, G. GarcíaCastrillo, A. Puente, B. Ondiviela, R., (2020). MedinaSantander Bay: multiuse and multiuser socioecological space, Regional Studies in Marine Science, pp. 34-101034.

Kay, R.C. & J. Alder, J. (2005). Coastal planning and management (2nd edition). London, E&F Spon. 380 pp.

Krause, G., and M,Glaser. (2003). Co-evolving Geomorphologic and Socio-economic Dynamics in a Coastal Fishing Village of the Braganca region (Para, North Brazil). Ocean and Coastal Management, 46(9-10):859-874.

Kullenburg, G. (2001). Contributions of marine and coastal area research and observations towards sustainable development of large coastal cities. Ocean and Coastal Management Special issue on Megacities. 44:283-291.

Maccarrone,V., Filiciotto,F., Buffa,G., Mazzola,S., Buscaino,G., (2014). The ICZM Balanced Scorecard: A tool for putting integrated coastal zone management into action, Marine Policy, 44:321-334 Mancosu, E., Gago Silva, A., Barbosa, A., Bono, A.D.,Ivanov, E., Lehmannn, A.,Fons,J, (2015). Future landuse change scenarios for the Black Sea catchment. Environmental Science and Policy, 43; 26-36.

Marcello, S., Raul, M, (2012). A systems approach to identify sets of indicators; Applications to coastal management. Ecological Indicators, 23: 588-596.

Marinoni, O. (2004). Implementation of the analytical hierarchy process with VBA in ArcGIS. Comput Geosci 30:637–646.

Marshall, J., (2005). Megacity, mega mess. Nature, 437- 7057:312-14.

MEA (Millennium Ecosystem Assessment) (2005). Ecosystems and Human Well Being: Current State and Trends, Island Press, Washington, DC.

Mohammed K.A., Kheireldin K., (2020). Evaluation of the Environmental Impacts of Bahr Al Baqar Drain on Manzala Ecosystem; using Rapid Impact Assessment Technique. Egyptian Journal of Aquatic Biology & Fisheries, Vol. 24(2): 609 – 625.

Nur N., Mohammad M., Md. Alauddin., (2019). “Coastal and Marine Tourism in the Future, Journal of Ocean and Coastal Economics: 6: Iss. 2, Article 12.

Olsen, S., Tobey, J., and Kerr, M. (1997). A Common framework for learning from ICM experience. Ocean and Coastal Management. 37(2):155-174.

Pastakia, C, Jensen, M. (1998). The Rapid Impact Assessment Matrix (RIAM)- A new tool for Environmental Impact Assessment, In Kurt Jensen (ed.), Environmental Impact Assessment using the Rapid Impact Assessment Matrix (RIAM), Olsen, Fredensborg, Denmark.

Pikelj, K., Igor R., Suzana I., Mike R. J., Branko K., (2018) Implementing an efficient beach erosion monitoring system for coastal management in Croatia, Ocean & Coastal Management, 156: 223-238 Qiandong G., Ruiliang P., Kimberly T., Jun C., Jialin L., &Tong J., (2019). Impacts of Coastal Development Strategies on Long-Term Coastline Changes: A Comparison Between Tampa Bay, USA and Xiangshan Harbor, China, Applied Geography, 5, 126-139.

Rizal, A., Apriliani, I.M., & Permana, R., (2020). Sustainability assessment of coastal development in southern region of West Java Province, Indonesia. GeoJournal of Tourism and Geosites, 30(2spl), 808–817.

Saaty, T, L. (1980). The Analytic Hierarchy Process, McGraw Hill Book Company, New York.

Shao, Q., Liu, X., Zhao, W.,(2020). An alternative method for analyzing dimensional interactions of urban carrying capacity: case study of Guangdong-Hong Kong-Macao Greater Bay Area, Journal of Environmental Management, Article 111064.

Stevens, D., Dragicevica, S, and Rothley, K. (2007). iCity: A GISeCA modelling tool for urban planning and decision making. Environmental Modelling & Software, 22:761-773.

Taal., (2021)., The COSMO-line: Interactive tools for ICZM, “Climate of Coastal Cooperation”, Young Professionals Coastal Community, http://ypcc.eu/ccc-2/ccc-extended-internet-publication/ccc-part-iii/.

Torresan, S., Critto, A., Rizzi, J., Zabeo, A., Furlan, E., Marcomini, A., (2016). DESYCO: A decision support system for the regional risk assessment of climate change impacts in coastal zones, Ocean & Coastal Management, 120:49-63 Trumbic, I. (2008). New protocol on Integrated Coastal Zone Management. Environmental Policy and Law, 38(3): 145–153.

Varghese, K., Ganesh, L, S., Mani, M., Anilkumar, P, P., Murthy, R., and Subramaniam, B, R. (2008). Identifying Critical Variables for Coastal Profiling in ICZM Planning – A Systems Approach. Ocean and Coastal Management. 51:73-94.

Xu, L., Wang, X., Liu, J., He, Y., Tang, J., Nguyen, M., Cui, S. (2019). Identifying the trade-offs between climate change mitigation and adaptation in urban land use planning: An empirical study in a coastal city. Environment International, 133, 105162.

Yoshimatsu, H., and Abe, S., (2006). A review of landslide hazards in Japan and assessment of their susceptibility using analytical hierarchy process (AHP) method, Landslides 3:149–158.

Youssef, A, M., Pradhan, B., and Tarabees, E, (2010). Integrated evaluation of urban development suitability based on remote sensing and GIS techniques: contribution from analytic hierarchy process Arab J Geosci 4 (3–4): 463–473.

Zhang, C., Zhong, S., Wang, X., Shen, L., Liu, L., Liu, Y., (2019). Land use change in coastal cities during the rapid urbanization period from 1990 to 2016: A case study in Ningbo city, China. Sustainability 11, 2122.

Zhao, N. (2022). The impact of China’s new-type urbanization on individual sustainable development: A comparison between coastal and inland areas. Marine Policy, 136, 104938. https://doi.org/10.1016/j.marpol.2021.104938

 

em constru��o