Uso de Sistema Multiagente para análise da mudança no uso do solo em uma bacia hidrográfica do Brasil
Resumo
As bacias hidrográficas possuem grande importância para a sociedade. Entretanto, a má gestão dessas regiões pode trazer grandes impactos ambientais. Este estudo visa apresentar uma proposta de Sistema Multiagente para a análise das consequências da mudança no uso do solo no sistema hídrico. Para isso, escolheu-se a Bacia Hidrográfica do Arroio Fragata (BHAF), localizada no sul do Brasil. A bacia foi considerada como ambiente do sistema, sendo esse discretizado em células quadradas regulares. Os agentes modificam o uso do solo em cada célula do ambiente. E em cada ciclo, as mudanças no uso do solo, e o volume de água são atualizados. Os resultados indicam as consequências no ambiente, e na quantidade de água disponível em cada ciclo.Referências
Caldeira, T. L., Mello, C. R., Beskow, S., Timm, L. C., and Viola, M. R. (2019). Lash hydrological model: An analysis focused on spatial discretization. CATENA, 173:183 – 193.
Corral, J., Arbeletche, P., Burges, J. C., Morales, H., Continanza, G., Couderc, J., Courdin, V., and Bommel, P. (2008). Multi-agent systems applied to land use and social changes in rio de la plata basin (south america): 8th european ifsa symposium, 6-10 july 2008, clermond-ferrand.
Crooks, A. T. and Heppenstall, A. J. (2012). Introduction to agent-based modelling. In Heppenstall, A. J., Crooks, A. T., See, L. M., and Batty, M., editors, Agent-Based Models of Geographical Systems, pages 85–105. Springer Netherlands, Dordrecht.
Farias, G., Leitzke, B., Born, M., Aguiar, M., and Adamatti, D. (2020). Water resources analysis: An approach based on agent-based modeling. Revista de Informática Teórica e Aplicada, 27(2):81–95.
Ganaie, T. A., Jamal, S., and Ahmad, W. S. (2021). Changing land use/land cover patterns and growing human population in wular catchment of kashmir valley, india. GeoJournal, 86(4):1589–1606.
Gaudou, B., Sibertin-Blanc, C., Thérond, O., Amblard, F., Auda, Y., Arcangeli, J.-P., Balestrat, M., Charron-Moirez, M.-H., Gondet, E., Hong, Y., Lardy, R., Louail, T., Mayor, E., Panzoli, D., Sauvage, S., Sanchez-Perez, J., Taillandier, P., Nguyen, V. B., Vavasseur, M., and Mazzega, P. (2014). The maelia multi-agent platform for integrated assessment of low-water management issues. In Alam, S. J. and Dyke Parunak, H. V., editors, International Workshop on Multi-Agent-Based Simulation (MABS 2013), volume 8235, pages 85–110. Springer, Lecture Notes in Computer.
Gilbert, N. and Troitzsch, K. (2005). Simulation for the social scientist. Buckingham: Open University Press.
IBGE Homepage (2020). Soil map of sheet SI.22 - Lagoa Mirim. Instituto Brasileiro de Geografia e Estatística. Last accessed 20 Jan 2020.
Le Ber, F., Chevrier, V., and Dury, A. (1998). A multi-agent system for the simulation of land use organization. IFAC Proceedings Volumes, 31(5):169–174. 3rd IFAC Workshop on Artificial Intelligence in Agriculture, Makuhari, Japan, 24-26 April 1998.
Leitzke, B. and Adamatti, D. (2021). Multiagent system and rainfall-runoff model in hydrological problems: A systematic literature review. Water, 13(24).
Li, M., Cao, X., Liu, D., Fu, Q., Li, T., and Shang, R. (2022). Sustainable management of agricultural water and land resources under changing climate and socio-economic conditions: A multi-dimensional optimization approach. Agricultural Water Management, 259:107235.
Mariano, D. J. K. and Alves, C. M. A. (2020). The application of role-playing games and agent-based modelling to the collaborative water management in peri-urban communities. RBRH, 25.
Parker, D. C., Manson, S. M., Janssen, M. A., Hoffmann, M. J., and Deadman, P. (2003). Multi-agent systems for the simulation of land-use and land-cover change: A review. Annals of the Association of American Geographers, 93(2):314–337.
Russell, S. and Norvig, P. (2002). Artificial Intelligence: A Modern Approach. New Jersey: Prentice Hall.
She, J., Guan, Z., Cai, F., Pu, L., Tan, J., and Chen, T. (2017). Simulation of land use changes in a coastal reclaimed area with dynamic shorelines. Sustainability, 9(3).
Taillandier, P., Gaudou, B., Grignard, A., Huynh, Q.-N., Marilleau, N., Caillou, P., Philippon, D., and Drogoul, A. (2019). Building, composing and experimenting complex spatial models with the gama platform. Geoinformatica, 23(2):299–322.
Vicario, S. A., Mazzoleni, M., Bhamidipati, S., Gharesifard, M., Ridolfi, E., Pandolfo, C., and Alfonso, L. (2020). Unravelling the influence of human behaviour on reducing casualties during flood evacuation. Hydrological Sciences Journal, 65(14):2359–2375.
Yamashita, R. and Hoshino, S. (2018). Development of an agent-based model for estimation of agricultural land preservation in rural japan. Agricultural Systems, 164:264–276.
Corral, J., Arbeletche, P., Burges, J. C., Morales, H., Continanza, G., Couderc, J., Courdin, V., and Bommel, P. (2008). Multi-agent systems applied to land use and social changes in rio de la plata basin (south america): 8th european ifsa symposium, 6-10 july 2008, clermond-ferrand.
Crooks, A. T. and Heppenstall, A. J. (2012). Introduction to agent-based modelling. In Heppenstall, A. J., Crooks, A. T., See, L. M., and Batty, M., editors, Agent-Based Models of Geographical Systems, pages 85–105. Springer Netherlands, Dordrecht.
Farias, G., Leitzke, B., Born, M., Aguiar, M., and Adamatti, D. (2020). Water resources analysis: An approach based on agent-based modeling. Revista de Informática Teórica e Aplicada, 27(2):81–95.
Ganaie, T. A., Jamal, S., and Ahmad, W. S. (2021). Changing land use/land cover patterns and growing human population in wular catchment of kashmir valley, india. GeoJournal, 86(4):1589–1606.
Gaudou, B., Sibertin-Blanc, C., Thérond, O., Amblard, F., Auda, Y., Arcangeli, J.-P., Balestrat, M., Charron-Moirez, M.-H., Gondet, E., Hong, Y., Lardy, R., Louail, T., Mayor, E., Panzoli, D., Sauvage, S., Sanchez-Perez, J., Taillandier, P., Nguyen, V. B., Vavasseur, M., and Mazzega, P. (2014). The maelia multi-agent platform for integrated assessment of low-water management issues. In Alam, S. J. and Dyke Parunak, H. V., editors, International Workshop on Multi-Agent-Based Simulation (MABS 2013), volume 8235, pages 85–110. Springer, Lecture Notes in Computer.
Gilbert, N. and Troitzsch, K. (2005). Simulation for the social scientist. Buckingham: Open University Press.
IBGE Homepage (2020). Soil map of sheet SI.22 - Lagoa Mirim. Instituto Brasileiro de Geografia e Estatística. Last accessed 20 Jan 2020.
Le Ber, F., Chevrier, V., and Dury, A. (1998). A multi-agent system for the simulation of land use organization. IFAC Proceedings Volumes, 31(5):169–174. 3rd IFAC Workshop on Artificial Intelligence in Agriculture, Makuhari, Japan, 24-26 April 1998.
Leitzke, B. and Adamatti, D. (2021). Multiagent system and rainfall-runoff model in hydrological problems: A systematic literature review. Water, 13(24).
Li, M., Cao, X., Liu, D., Fu, Q., Li, T., and Shang, R. (2022). Sustainable management of agricultural water and land resources under changing climate and socio-economic conditions: A multi-dimensional optimization approach. Agricultural Water Management, 259:107235.
Mariano, D. J. K. and Alves, C. M. A. (2020). The application of role-playing games and agent-based modelling to the collaborative water management in peri-urban communities. RBRH, 25.
Parker, D. C., Manson, S. M., Janssen, M. A., Hoffmann, M. J., and Deadman, P. (2003). Multi-agent systems for the simulation of land-use and land-cover change: A review. Annals of the Association of American Geographers, 93(2):314–337.
Russell, S. and Norvig, P. (2002). Artificial Intelligence: A Modern Approach. New Jersey: Prentice Hall.
She, J., Guan, Z., Cai, F., Pu, L., Tan, J., and Chen, T. (2017). Simulation of land use changes in a coastal reclaimed area with dynamic shorelines. Sustainability, 9(3).
Taillandier, P., Gaudou, B., Grignard, A., Huynh, Q.-N., Marilleau, N., Caillou, P., Philippon, D., and Drogoul, A. (2019). Building, composing and experimenting complex spatial models with the gama platform. Geoinformatica, 23(2):299–322.
Vicario, S. A., Mazzoleni, M., Bhamidipati, S., Gharesifard, M., Ridolfi, E., Pandolfo, C., and Alfonso, L. (2020). Unravelling the influence of human behaviour on reducing casualties during flood evacuation. Hydrological Sciences Journal, 65(14):2359–2375.
Yamashita, R. and Hoshino, S. (2018). Development of an agent-based model for estimation of agricultural land preservation in rural japan. Agricultural Systems, 164:264–276.
Publicado
31/08/2022
Como Citar
LEITZKE, Bruna S.; ADAMATTI, Diana F..
Uso de Sistema Multiagente para análise da mudança no uso do solo em uma bacia hidrográfica do Brasil. In: WORKSHOP-ESCOLA DE SISTEMAS DE AGENTES, SEUS AMBIENTES E APLICAÇÕES (WESAAC), 16. , 2022, Evento Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2022
.
p. 20-30.
ISSN 2326-5434.
