Hydrologic attenuation and the hydrologic benefits of implementing eco-productive green roofs in marginal urban areas
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In the present study, the hydrologic attenuation of an ecoproductive green roof is assessed using three indicators: lag-time, runoff coefficient and water volume retention. Two types of plants—an herbaceous (Lactuca sativa) and a Cruciferae (Raphanus sativus)—were utilized in this analysis of eight rain events monitored on four houses in the La Isla neighborhood of Soacha, Colombia (4° 34’ 22.3”, 74° 10’ 53.5”; 2,701 meters above sea level). Maximum lag-times, volumetric retention percentage and minimum equivalent runoff coefficients of 32 minutes, 80% and 0.1, respectively, were obtained. The hydrologic benefits of implementing such green roofs is determined by comparing the drainage infrastructure required with and without green roofs and by assessing the probability of flooding at the study site with or without green roofs. In order to analyze these benefits, the Monte Carlo simulation method allows observation of the hydraulic behavior of sewers in drainage areas where green roofs are implemented. When the green roofs are installed, a maximum savings (in economic terms) of approximately 22% and a reduction in flooding probability of approximately 35% are observed.
Runoff coefficient, productive green roof, Kernel estimators, flooding probabilities.Coeficiente de escorrentía, techo verde productivo, estimadores de Kernel, probabilidad de inundación.
ABDI, H. and WILLIAMS, L.J. Principal component analysis. Wiley Interdisciplinary Reviews: Computational Statistics. 2010, no. 2, pp. 433-459.
ARSHAM, H. and LOVRIC, M. Bartlett’s test. International Encyclopedia of Statistical Science. 2011, pp. 87-88.
ASTM-D 2321.Standard practice for underground installation of thermoplastic pipe for sewer and other gravity-flow applications. (STANDARD), 2000.
BALLARD, B.W. and KELLAGHER, R. The SUDS Manual. n. p.: Construction Industry Research & Information Association (CIRIA), 2007a.
BALLARD, B.W. and KELLAGHER, R. The SUDS Manual. n. p.: Construction Industry Research & Information Association (CIRIA), 2007b.
BUTLER, D. and DAVIES, J.W. Urban drainage. New York: Taylor & Francis, 2009.
CASSERES, E. Producción de hortalizas. n. p.: Bib. Orton IICA/CATIE, 1980.
CASTLETON, H.F.; STOVIN, V.; BECK, S.B.M. and DAVISON, J.B. Green roofs; building energy savings and the potential for retrofit. Energy and Buildings. 2010, no. 42, pp. 1582-1591.
CHEN, J.; HILL, A.A. and URBANO, L.D. A GIS-based model for urban flood inundation. Journal of Hydrology. 2009, no. 373, pp. 184-192. DOI: 10.1016/j.jhydrol.2009.04.021.
CSQ. Stormwater best management practice handbook. Los Angeles: California Stormwater Quality Association, 2003.
DUNNETT, N.; NAGASE, A.; BOOTH, R. and GRIME, P. Influence of vegetation composition on runoff in two simulated green roof experiments. Urban Ecosyst. 2008, no. 11, pp. 385-398. DOI: 10.1007/s11252-008-0064-9.
DUONG, T. ks: Kernel density estimation and Kernel discriminant analysis for multivariate data in R. Journal of Statistical Software. 2007, vol. 21, no. 7, pp. 1-16.
FORERO-CORTES, C.; DEVIA-CASTILLO, C.; TORRES, A. and MENDEZ-FAJARDO, S. Diseño de ecotechos productivos para poblaciones vulnerables. n. p.: Acodal, 2012.
GETTER, K.L. and ROWE, D.B. The role of extensive green roofs in sustainable development. HortScience. 2006, no. 41, pp. 1276-1285.
GUIDOUM, A.C. kedd: Kernel estimator and bandwidth selection for density and its derivatives [document on line]. R package version 1.0.0, 2013.
HWANG, J.; LAY, S. and LIPPMAN, A. Nonparametric multivariate density estimation: A comparative study. IEEE Transactions on Signal Processing. 1994, vol. 42, no. 10, pp. 2795-2810.
IPO. Contexto Alto de Cazucá (publico). Bogota: IPO, 2004.
JACOBSON, C.R.. Identification and quantification of the hydrological impacts of imperviousness in urban catchments: A review. Journal of Environmental Management. 2011, no. 92, pp. 1438-1448. DOI: 10.1016/j.jenvman.2011.01.018.
KASMIN, H.; STOVIN, V.R. and HATHWAY, E.A. Towards a generic rainfall-runoff model for green roofs. Water Science Technology. 2010, no. 62, pp. 898-905. DOI: 10.2166/wst.2010.352.
LARSON, M.G. Analysis of variance. Circulation. 2008, no. 117, pp. 115-121. DOI: 10.1161/CIRCULATIONAHA.107.654335.
LI, S.; GONG, H.; ZHAO, W. and LIU, J. Research on Beijing urban heat island and PM10 in the air. Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on. 2008, vol. 2, pp. 133-136. DOI: 10.1109/ETTandGRS.2008.277.
MARSALEK, J. Urban water cycle processes and interactions. New York: Taylor & Francis, 2007.
MENTENS, J., RAES, D. and HERMY, M. Green roofs as a tool for solving the rainwater runoff problem in the urbanized 21st century? Landscape and Urban Planning. 2006, vol. 77, pp. 217-226. DOI: 10.1016/j.landurbplan.2005.02.010.
NEW JERSEY DEPARTMENT OF ENVIRONMENTAL PROTECTION. New Jersey Stormwater Best Management Practices Manual. Trenton, NJ, 2004.
NIEMCZYNOWICZ, J. Urban hydrology and water management – present and future challenges. Urban Water. 1999, vol. 1, pp. 1-14. DOI: 10.1016/S1462-0758(99)00009-6.
OBERNDORFER, E.; LUNDHOLM, J.; BASS, B.; COFFMAN, R.R.; DOSHI, H.; DUNNETT, N.; GAFFIN, S.; KÖHLER, M.; LIU, K.K.Y. and ROWE, B. Green roofs as urban ecosystems: ecological structures, functions, and services. BioScience. 2007, vol. 57, p. 823. DOI: 10.1641/B571005.
PECK, S.W. and CALLAGHAN, C. Green roofs: ecological design and construction. n. p.: Schiffer Pub, 2005.
R DEVELOPMENT CORE TEAM. R: A Language and Environment for Statistical Computing. Vienna, Austria, 2012.
ROSSMAN, L.A. Storm water management model user’s manual. Version 5.0. Cincinnati: n. e., 2010.
SHAPIRO, S.S. and WILK, M.B. An analysis of variance test for normality (complete samples). Biometrika. 1965, vol. 52, no. 3/4, pp. 591-611.
TSYBAKOV, A.B. Introduction to nonparametric estimation. Philadelphia: Springer, 2008.
WERTHMANN, C. Green roof: a case study. New York: Princeton Architectural Press, 2007.