| Rainfall and river flow trends using Mann–Kendall and Sen’s slope estimator statistical tests in the Cobres River basin RM Da Silva, CAG Santos, M Moreira, J Corte-Real, VCL Silva, ... Natural Hazards 77, 1205-1221, 2015 | 291 | 2015 |
| Daily streamflow forecasting using a wavelet transform and artificial neural network hybrid models CA Guimarães Santos, GBL Silva Hydrological Sciences Journal 59 (2), 312-324, 2014 | 131 | 2014 |
| Spatiotemporal impact of land use/land cover changes on urban heat islands: A case study of Paço do Lumiar, Brazil JS Silva, RM da Silva, CAG Santos Building and Environment 136, 279-292, 2018 | 116 | 2018 |
| Modeling land cover change based on an artificial neural network for a semiarid river basin in northeastern Brazil LP e Silva, APC Xavier, RM da Silva, CAG Santos Global Ecology and Conservation 21, e00811, 2020 | 92 | 2020 |
| Analysis of the use of discrete wavelet transforms coupled with ANN for short-term streamflow forecasting PKMM Freire, CAG Santos, GBL da Silva Applied Soft Computing 80, 494-505, 2019 | 86 | 2019 |
| Future scenarios based on a CA-Markov land use and land cover simulation model for a tropical humid basin in the Cerrado/Atlantic forest ecotone of Brazil ER da Cunha, CAG Santos, RM da Silva, VM Bacani, A Pott Land Use Policy 101, 105141, 2021 | 80 | 2021 |
| Integration of GIS and remote sensing for estimation of soil loss and prioritization of critical sub-catchments: a case study of Tapacurá catchment RM Da Silva, SMGL Montenegro, CAG Santos Natural Hazards 62, 953-970, 2012 | 79 | 2012 |
| Matsuyama city rainfall data analysis using wavelet transform CAG SANTOS, CO GALVÃO, K SUZUKI, RM TRIGO Proceedings of hydraulic engineering 45, 211-216, 2001 | 65 | 2001 |
| Short term rainfall-runoff modelling using several machine learning methods and a conceptual event-based model RM Adnan, A Petroselli, S Heddam, CAG Santos, O Kisi Stochastic Environmental Research and Risk Assessment 35 (3), 597-616, 2021 | 62 | 2021 |
| Drought assessment using a TRMM-derived standardized precipitation index for the upper São Francisco River basin, Brazil CAG Santos, RM Brasil Neto, JSA Passos, RM da Silva Environmental monitoring and assessment 189, 1-19, 2017 | 60 | 2017 |
| Application of an optimization technique to a physically based erosion model CAG Santos, VS Srinivasan, K Suzuki, M Watanabe Hydrological Processes 17 (5), 989-1003, 2003 | 58 | 2003 |
| Análise da variabilidade espaço-temporal e identificação do padrão da precipitação na bacia do rio Tapacurá, Pernambuco RM Silva, LP Silva, SMGL Montenegro, CAG Santos Sociedade & Natureza 22, 357-372, 2010 | 56 | 2010 |
| Daily streamflow forecasting in Sobradinho Reservoir using machine learning models coupled with wavelet transform and bootstrapping SV Saraiva, F de Oliveira Carvalho, CAG Santos, LC Barreto, ... Applied Soft Computing 102, 107081, 2021 | 51 | 2021 |
| Trend analysis of monthly streamflows using Şen's innovative trend method Ö Kişi, CAG Santos, RM da Silva, M Zounemat-Kermani G eofizika 35 (1), 53–68-53–68, 2018 | 49 | 2018 |
| Hybrid wavelet neural network approach for daily inflow forecasting using tropical rainfall measuring mission data CAG Santos, PKMM Freire, RM Silva, SA Akrami Journal of Hydrologic Engineering 24 (2), 04018062, 2019 | 48 | 2019 |
| Erosivity, surface runoff, and soil erosion estimation using GIS-coupled runoff–erosion model in the Mamuaba catchment, Brazil RM Da Silva, CAG Santos, VC de Lima Silva, LP e Silva Environmental monitoring and assessment 185, 8977-8990, 2013 | 48 | 2013 |
| Drought impacts, social organization, and public policies in northeastern Brazil: a case study of the upper Paraíba River basin JC Dantas, RM da Silva, CAG Santos Environmental monitoring and assessment 192, 1-21, 2020 | 46 | 2020 |
| Cluster analysis applied to spatiotemporal variability of monthly precipitation over Paraíba state using Tropical Rainfall Measuring Mission (TRMM) data CAG Santos, RM Brasil Neto, RM da Silva, SGF Costa Remote Sensing 11 (6), 637, 2019 | 46 | 2019 |
| Innovative approach for geospatial drought severity classification: a case study of Paraíba state, Brazil CAG Santos, RM Brasil Neto, RM da Silva, DC dos Santos Stochastic Environmental Research and Risk Assessment 33 (2), 545-562, 2019 | 46 | 2019 |
| Rainfall data analyzing using moving average (MA) model and wavelet multi-resolution intelligent model for noise evaluation to improve the forecasting accuracy SA Akrami, A El-Shafie, M Naseri, CAG Santos Neural Computing and Applications 25, 1853-1861, 2014 | 46 | 2014 |
Richarde Marques da SilvaUniversidade Federal da Paraíba在 geociencias.ufpb.br 的电子邮件经过验证
