| Flood Citizen Observatory: a crowdsourcing-based approach for flood risk management in Brazil. LC Degrossi, JP de Albuquerque, MC Fava, EM Mendiondo SEKE, 570-575, 2014 | 118 | 2014 |
| Geo-social media as a proxy for hydrometeorological data for streamflow estimation and to improve flood monitoring C Restrepo-Estrada, SC de Andrade, N Abe, MC Fava, EM Mendiondo, ... Computers & Geosciences 111, 148-158, 2018 | 85 | 2018 |
| Using historical source data to understand urban flood risk: a socio-hydrological modelling application at Gregório Creek, Brazil AC Sarmento Buarque, N Bhattacharya-Mis, MC Fava, FAA Souza, ... Hydrological Sciences Journal 65 (7), 1075-1083, 2020 | 34 | 2020 |
| Flood modelling using synthesised citizen science urban streamflow observations MC Fava, N Abe, C Restrepo‐Estrada, BYL Kimura, EM Mendiondo Journal of Flood Risk Management 12 (S2), e12498, 2019 | 27 | 2019 |
| Improving flood forecasting using an input correction method in urban models in poorly gauged areas MC Fava, M Mazzoleni, N Abe, EM Mendiondo, DP Solomatine Hydrological Sciences Journal 65 (7), 1096-1111, 2020 | 22 | 2020 |
| AGORA-GeoDash: A geosensor dashboard for real-time flood risk monitoring. FEA Horita, MC Fava, EM Mendiondo, J Rotava, VCB de Souza, ... ISCRAM, 2014 | 22 | 2014 |
| Proposta metodológica para previsões de enchentes com uso de sistemas colaborativos MC Fava, EM Mendiondo, VCB Souza, JP Albuquerque, J Ueyama XX Simpósio Brasileiro de Recursos Hídricos, 1-8, 2013 | 16 | 2013 |
| Linking urban floods to citizen science and low impact development in poorly gauged basins under climate changes for dynamic resilience evaluation MC Fava, MB Macedo, ACS Buarque, AM Saraiva, ACB Delbem, ... Water 14 (9), 1467, 2022 | 9 | 2022 |
| Modelo de alerta hidrológico com base participativa usando sistema de informações voluntárias para previsão de enchentes MC Fava Universidade de São Paulo, 2015 | 8 | 2015 |
| A data-driven framework for identifying productivity zones and the impact of agricultural droughts in sugarcane using SPI and unsupervised learning RF Da Silva, GC Gesualdo, MR Benso, MC Fava, EM Mendiondo, ... 2021 IEEE International Workshop on Metrology for Agriculture and Forestry …, 2021 | 6 | 2021 |
| A theoretical framework for multi-hazard risk mapping on agricultural areas considering artificial intelligence, IoT, and climate change scenarios RF Silva, MC Fava, AM Saraiva, EM Mendiondo, CE Cugnasca, ... Engineering Proceedings 9 (1), 39, 2021 | 5 | 2021 |
| Assessment of Time Series Models for Mean Discharge Modeling and Forecasting in a Sub-Basin of the Paranaíba River, Brazil GEM Costa, FCM Menezes Filho, FA Canales, MC Fava, ARA Brandão, ... Hydrology 10 (11), 208, 2023 | 4 | 2023 |
| Improving flood forecasting using real-time data to update urban models in poorly gauged areas MC Fava Universidade de São Paulo, 2019 | 3 | 2019 |
| An approach for urban catchment model updating MC Fava, M Mazzoleni, N Abe, EM Mendiono, D Solomatine EPiC Series in Engineering 3, 692-697, 2018 | 2 | 2018 |
| Citizen science involving collections of standardized community data W Leyh, M Fava, N Abe, S Cavalcante, L Giatti, CM de Carvalho, HF Filho, ... Advances in Neuroergonomics and Cognitive Engineering: Proceedings of the …, 2018 | 2 | 2018 |
| Redução de incertezas na previsão de enchentes com uso de dados colaborativos MC Fava, N Abe, C Restrepo-Estrada, EM Mendiondo, VCB Souza Proceedings of the XXI Simpósio Brasileiro de Recursos Hídricos, 1-8, 2015 | 2 | 2015 |
| Performance analysis of physically-based (HEC-RAS, CADDIES) and AI-based (LSTM) flood models for two case studies M Batalini de Macedo, NK Mangukiya, MC Fava, A Sharma, ... Proceedings of IAHS 386, 41-46, 2024 | 1 | 2024 |
| How to bridge the gaps among DRR, SDG, UPH, MOXXI/CANDHY and Panta Rhei by volunteered information of human-centered observatories? FAA Souza, EM Mendiondo, D Taffarello, AC Sarmento-Buarque, ... AGU Fall Meeting Abstracts 2019, H11O-1725, 2019 | 1 | 2019 |
| Socio-Hydrological Observatory for Water Security (SHOWS): Examples of Adaptation Strategies with Next Challenges from Brazilian Risk Areas EM Mendiondo, D Taffarello, D Guzmán-Arias, MC Fava, F Abreu, ... AGU Fall Meeting Abstracts 2017, H13S-08, 2017 | 1 | 2017 |
| Applied socio-hydrology using volunteer geographic information (VGI) to integrate ecosystem-based adaptation (EbA) and disaster risk reduction (DRR) E Mendiondo, D Taffarello, G Mohor, D Guzmán, C Câmara de Freitas, ... EGU General Assembly Conference Abstracts, 18191, 2017 | 1 | 2017 |
