Source: Natural Resources Research. Unidade: IGC
Subjects: GEOESTATÍSTICA, ANÁLISE DE SÉRIES TEMPORAIS, GESTÃO DAS ÁGUAS SUBTERRÂNEAS
ABNT
TAKAFUJI, Eduardo Henrique de Moraes e ROCHA, Marcelo Monteiro da e MANZIONE, Rodrigo Lilla. Groundwater Level Prediction/Forecasting and Assessment of Uncertainty Using SGS and ARIMA Models: A Case Study in the Bauru Aquifer System (Brazil). Natural Resources Research, v. 28, n. 2, p. 487-503, 2019Tradução . . Disponível em: https://doi.org/10.1007/s11053-018-9403-6. Acesso em: 17 nov. 2024.APA
Takafuji, E. H. de M., Rocha, M. M. da, & Manzione, R. L. (2019). Groundwater Level Prediction/Forecasting and Assessment of Uncertainty Using SGS and ARIMA Models: A Case Study in the Bauru Aquifer System (Brazil). Natural Resources Research, 28( 2), 487-503. doi:10.1007/s11053-018-9403-6NLM
Takafuji EH de M, Rocha MM da, Manzione RL. Groundwater Level Prediction/Forecasting and Assessment of Uncertainty Using SGS and ARIMA Models: A Case Study in the Bauru Aquifer System (Brazil) [Internet]. Natural Resources Research. 2019 ; 28( 2): 487-503.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1007/s11053-018-9403-6Vancouver
Takafuji EH de M, Rocha MM da, Manzione RL. Groundwater Level Prediction/Forecasting and Assessment of Uncertainty Using SGS and ARIMA Models: A Case Study in the Bauru Aquifer System (Brazil) [Internet]. Natural Resources Research. 2019 ; 28( 2): 487-503.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1007/s11053-018-9403-6