Improving food forecasting using real-time data to update urban models in poorly gauged areas (2019)
Unidade: EESCSubjects: PREVISÃO DE ENCHENTES URBANAS, MONITORAMENTO
ABNT
FAVA, Maria Clara. Improving food forecasting using real-time data to update urban models in poorly gauged areas. 2019. Tese (Doutorado) – Universidade de São Paulo, São Carlos, 2019. Disponível em: https://www.teses.usp.br/teses/disponiveis/18/18138/tde-29062020-175420/. Acesso em: 10 set. 2024.APA
Fava, M. C. (2019). Improving food forecasting using real-time data to update urban models in poorly gauged areas (Tese (Doutorado). Universidade de São Paulo, São Carlos. Recuperado de https://www.teses.usp.br/teses/disponiveis/18/18138/tde-29062020-175420/NLM
Fava MC. Improving food forecasting using real-time data to update urban models in poorly gauged areas [Internet]. 2019 ;[citado 2024 set. 10 ] Available from: https://www.teses.usp.br/teses/disponiveis/18/18138/tde-29062020-175420/Vancouver
Fava MC. Improving food forecasting using real-time data to update urban models in poorly gauged areas [Internet]. 2019 ;[citado 2024 set. 10 ] Available from: https://www.teses.usp.br/teses/disponiveis/18/18138/tde-29062020-175420/