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María Nariné Torres Cajiao
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Zitiert von
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Sustainable Urban Drainage System (SUDS) modeling supporting decision-making: A systematic quantitative review
P Ferrans, MN Torres, J Temprano, JPR Sánchez
Science of the Total Environment 806, 150447, 2022
782022
A participatory approach based on stochastic optimization for the spatial allocation of Sustainable Urban Drainage Systems for rainwater harvesting.
MN Torres, JE Fontecha, Z Zhu, JL Walteros, JP Rodríguez
Environmental Modelling & Software 123, 104532, 2020
562020
On the preventive management of sediment-related sewer blockages: a combined maintenance and routing optimization approach
JE Fontecha, R Akhavan-Tabatabaei, D Duque, AL Medaglia, MN Torres, ...
Water Science and Technology 74 (2), 302-308, 2016
352016
A two‐stage data‐driven spatiotemporal analysis to predict failure risk of urban sewer systems leveraging machine learning algorithms
JE Fontecha, P Agarwal, MN Torres, S Mukherjee, JL Walteros, ...
Risk Analysis 41 (12), 2356-2391, 2021
232021
The impacts of climate change and porous pavements on combined sewer overflows: a case study of the City of Buffalo, New York, USA
A Roseboro, MN Torres, Z Zhu, AJ Rabideau
Frontiers in Water 3, 725174, 2021
212021
City-scale optimal location planning of Green Infrastructure using piece-wise linear interpolation and exact optimization methods
MN Torres, JE Fontecha, JL Walteros, Z Zhu, Z Ahmed, JP Rodríguez, ...
Journal of Hydrology 601, 126540, 2021
192021
Modeling the effectiveness of rain barrels, cisterns, and downspout disconnections for reducing combined sewer overflows in a city-scale watershed
SH Ghodsi, Z Zhu, H Gheith, AJ Rabideau, MN Torres, K Meindl
Water Resources Management 35, 2895-2908, 2021
192021
Geostatistical analysis to identify characteristics involved in sewer pipes and urban tree interactions
MN Torres, JP Rodríguez, JP Leitão
Urban forestry & urban greening 25, 36-42, 2017
182017
Optimal siting of rainwater harvesting systems for reducing combined sewer overflows at city scale
SH Ghodsi, Z Zhu, LS Matott, AJ Rabideau, MN Torres
Water Research 230, 119533, 2023
122023
Spatial design strategies and performance of porous pavements for reducing combined sewer overflows
MN Torres, A Rabideau, SH Ghodsi, Z Zhu, LS Matott
Journal of Hydrology 607, 127465, 2022
122022
A prioritization tool for SUDS planning in large cities by coupling an urban drainage model with mixed integer linear programming
MN Torres, Z Zhu, JP Rodríguez
New Trends in Urban Drainage Modelling: UDM 2018 11, 141-145, 2019
82019
A SUDS Planning Decision Support Tool to Maximize Ecosystem Services
J Uribe-Aguado, SL Jiménez-Ariza, MN Torres, NA Bernal, ...
Sustainability 14 (8), 4560, 2022
62022
Decision support tools for sustainable urban drainage systems: a systematic quantitative review
MN Torres, JR Sánchez, JP Leitão, N de Oliveira Nascimento, M Granceri
Novatech 2016-9ème Conférence internationale sur les techniques et …, 2016
52016
La Metodologıa Aopoa
J Rodrıguez, M Torres, E González
Avances en Sistemas e Informática 4 (2), 2007
42007
Comparison of statistical failure models to support sewer system operation
JP Torres, María N., Rodríguez, Juan P., Leitão
International Conference on Hydroinformatics, 2014
1*2014
Effectiveness of Green Infrastructure on Watershed Scale Flow Regimes of Urban Streams in Cleveland and Denver
ZU Hassan, A Jefferson, A Bhaskar, D Costello, MN Torres
AGU Fall Meeting Abstracts 2022, H22Y-1166, 2022
2022
Effectiveness of Green Infrastructure on Watershed Scale Flow Regimes of West Creek, Ohio
ZU Hassan, A Jefferson, A Bhaskar, MN Torres, LS Matott, AJ Rabideau, ...
Frontiers in Hydrology 2022, 426-049, 2022
2022
Sustainable Urban Drainage System (SUDS) modeling supporting decision-making: A systematic quantitative review
P Ferrans Ramírez, MN Torres, J Temprano, JP Rodríguez Sánchez
Elsevier, 2022
2022
Simulation-Optimization Methods for Reducing Combined Sewer Overflows using Green Infrastructure
Z Zhu, SH Ghodsi, LS Matott, A Rabideau, M Torres
AGU Fall Meeting Abstracts 2021, H33A-01, 2021
2021
Using a Deep Learning land use classification method for estimating Total Suspended Solids (TSS) loads in urban runoff-A comparison of two case studies
MN Torres, JP Rodríguez Sánchez, Z Zhu, Z Ahmed
AGU Fall Meeting Abstracts 2019, H41M-1894, 2019
2019
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