Selection of a mathematical model through the AHP methodology to model green roofs in Colombia

Green roofs (GR) are engineering structures that stores rainwater as an alternative for urban stormwater management. This research is carried out to select a mathematical model to simulate the experimental TV dynamics from Bogotá, improving the decision-making process regarding GR real implementatio...

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Main Authors: Tabares Catimay, Jeniffer, Gallo Martínez, Laura Marely, Mancipe, Néstor Alonso
Format: Online
Language:spa
Published: Universidad Pedagógica y Tecnológica de Colombia - UPTC 2018
Subjects:
Online Access:https://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/11877
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author Tabares Catimay, Jeniffer
Gallo Martínez, Laura Marely
Mancipe, Néstor Alonso
author_facet Tabares Catimay, Jeniffer
Gallo Martínez, Laura Marely
Mancipe, Néstor Alonso
author_sort Tabares Catimay, Jeniffer
collection OJS
description Green roofs (GR) are engineering structures that stores rainwater as an alternative for urban stormwater management. This research is carried out to select a mathematical model to simulate the experimental TV dynamics from Bogotá, improving the decision-making process regarding GR real implementation in intertropical urban areas of Colombia that considers meteorological, substrate and design variables. A hierarchical analytical method (AHP) is used to select the model for simulating GR. The AHP is a matrix technique that allows a decision-making process based on expert criteria in order to decrease the bias of subjectivity during the assessment. First, a bibliographic review is made to identify GR models to be evaluated: SWAM, SWMM 5.1, HYDRUS 1-D, SWAP, SWMS 2-D, MIKE URBAN, WinSLAMM and SUSTAIN. Then, each model performance is qualified with respect to the selection criteria (Input data, attributes, and output). The value judgments issued by the experts are used to develop paired matrices with the AHP methodology to obtain the model that best meets the selection criteria. The model EPA-SWMM 5.1 is found to comply with the proposed requirements for modeling GR in Colombia. SWMM is a free software that has a SUDS module and allows continuous events simulation, among other variables. A hierarchical list is developed for other modeling user ́s decision according to their GR modeling needs.
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spelling oai:oai.revistas.uptc.edu.co:article-118772021-08-03T19:38:33Z Selection of a mathematical model through the AHP methodology to model green roofs in Colombia Modelación matemática de techos verdes en colombia: selección de un modelo mediante la metodología AHP Tabares Catimay, Jeniffer Gallo Martínez, Laura Marely Mancipe, Néstor Alonso Runoff AHP methodology mathematical modeling green roofs escorrentía metodología AHP modelación matemática techos verdes Green roofs (GR) are engineering structures that stores rainwater as an alternative for urban stormwater management. This research is carried out to select a mathematical model to simulate the experimental TV dynamics from Bogotá, improving the decision-making process regarding GR real implementation in intertropical urban areas of Colombia that considers meteorological, substrate and design variables. A hierarchical analytical method (AHP) is used to select the model for simulating GR. The AHP is a matrix technique that allows a decision-making process based on expert criteria in order to decrease the bias of subjectivity during the assessment. First, a bibliographic review is made to identify GR models to be evaluated: SWAM, SWMM 5.1, HYDRUS 1-D, SWAP, SWMS 2-D, MIKE URBAN, WinSLAMM and SUSTAIN. Then, each model performance is qualified with respect to the selection criteria (Input data, attributes, and output). The value judgments issued by the experts are used to develop paired matrices with the AHP methodology to obtain the model that best meets the selection criteria. The model EPA-SWMM 5.1 is found to comply with the proposed requirements for modeling GR in Colombia. SWMM is a free software that has a SUDS module and allows continuous events simulation, among other variables. A hierarchical list is developed for other modeling user ́s decision according to their GR modeling needs. Los techos verdes (TV) son estructuras que almacenan aguas lluvia, convirtiéndose en una alternativa para el manejo de la escorrentía urbana. Esta investigación se realiza con el fin de seleccionar un modelo matemático para que posteriormente simule la dinámica de TV experimentales construidos en Bogotá, mejorando el proceso de toma de decisiones frente a su implementación en zonas urbanas intertropicales de Colombia al considerar variables meteorológicas, del sustrato y de diseño. Para realizar la selección se empleó la metodología Procesos Analíticos Jerárquicos (AHP por sus siglas en inglés), técnica que emplea operaciones matriciales para tomar decisiones basadas en juicios de valor establecidas por expertos disminuyendo el sesgo generado por la subjetividad de la evaluación. Inicialmente se realiza una consulta bibliográfica determinando modelos matemáticos empleados en la modelación de TV, estos son: SWAM, SWMM 5.1, HYDRUS 1-D, SWAP, SWMS 2-D, MIKE URBAN, WinSLAMM Y SUSTAIN. Posteriormente se califica el desempeño individual de los modelos respecto a tres criterios de selección (datos de entrada, atributos y datos de salida). Esta calificación es evaluada por expertos en hidrología urbana o en Sistemas Urbanos de Drenaje Sostenible (SUDS). Los juicios de valor emitidos por los expertos se utilizan para elaborar matrices pareadas con la metodología AHP, indicando el modelo que mejor cumple los criterios de selección. Se obtuvo que el modelo EPA-SWMM 5.1 cumple satisfactoriamente los requerimientos para modelar techos verdes en Colombia dado que es un software libre, cuenta con un módulo de SUDS, permite modelar eventos de lluvia continuos, entre otras variables. Se desarrolla una lista en orden jerárquico que otros autores podrían usar para seleccionar el modelo que mejor se ajuste a sus necesidades de modelación en TV para condiciones colombianas. Universidad Pedagógica y Tecnológica de Colombia - UPTC 2018-07-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/11877 10.19053/1900771X.v18.n2.2018.11877 Ingeniería Investigación y Desarrollo; Vol. 18 No. 2 (2018): Ingeniería, Investigación y Desarrollo; 35-46 Ingeniería Investigación y Desarrollo; Vol. 18 Núm. 2 (2018): Julio - Diciembre; 35-46 2422-4324 1900-771X spa https://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/11877/9760
spellingShingle Runoff
AHP methodology
mathematical modeling
green roofs
escorrentía
metodología AHP
modelación matemática
techos verdes
Tabares Catimay, Jeniffer
Gallo Martínez, Laura Marely
Mancipe, Néstor Alonso
Selection of a mathematical model through the AHP methodology to model green roofs in Colombia
title Selection of a mathematical model through the AHP methodology to model green roofs in Colombia
title_alt Modelación matemática de techos verdes en colombia: selección de un modelo mediante la metodología AHP
title_full Selection of a mathematical model through the AHP methodology to model green roofs in Colombia
title_fullStr Selection of a mathematical model through the AHP methodology to model green roofs in Colombia
title_full_unstemmed Selection of a mathematical model through the AHP methodology to model green roofs in Colombia
title_short Selection of a mathematical model through the AHP methodology to model green roofs in Colombia
title_sort selection of a mathematical model through the ahp methodology to model green roofs in colombia
topic Runoff
AHP methodology
mathematical modeling
green roofs
escorrentía
metodología AHP
modelación matemática
techos verdes
topic_facet Runoff
AHP methodology
mathematical modeling
green roofs
escorrentía
metodología AHP
modelación matemática
techos verdes
url https://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/11877
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AT mancipenestoralonso selectionofamathematicalmodelthroughtheahpmethodologytomodelgreenroofsincolombia
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