dc.creatorChaves Herrera, Matías Adrián
dc.creatorRojas González, Alejandra María
dc.creatorRojas Jiménez, José Pablo
dc.creatorAguilar Pereira, José Francisco
dc.date.accessioned2022-04-19T12:38:50Z
dc.date.accessioned2022-10-19T23:20:53Z
dc.date.available2022-04-19T12:38:50Z
dc.date.available2022-10-19T23:20:53Z
dc.date.created2022-04-19T12:38:50Z
dc.date.issued2014-07
dc.identifierhttps://journals.sfu.ca/cigrp/index.php/Proc/article/view/178
dc.identifierhttps://hdl.handle.net/10669/86443
dc.identifier731-B4-212
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4515441
dc.description.abstractDuring the last few years, the expansion of urban cover in the Quebrada Seca-Bermudez watershed has caused a series of floods that have damaged houses, bridges, and other important infrastructure of the area. Hence local governments need a more precise description of these extreme rainfall events through reliable data and modeling watershed, based on 3 different storm durations and five different scenarios: three scenarios from previous years (2001, 2008, and 2012) and 2 forecasted scenarios for the year 2020 (one according to the projected urban growth and the other one based on local urban regulations). Land cover variations were determined using Lansat 7ETM+ images. Both supervised and unsupervised classifications were applied to the satellite images and 6 common classes were obtained: forest, crops, pasture, urban, bare soil and industrial. The Curve Number was assigned based on this information and the soil data with a 1:20 000 scale resolution. A digital elevation model (DEM) with a 30 meters resolution was used to calculate the watershed parameters. Rainfall data over a period of almost 15 years from three meteorological stations were analyzed in order to obtain 2-, 5-, 10-and 25-year return periods. Discharge for all the scenarios was calculated with HEC-HMS program in order to evaluate the changes of urban growth. The results showed a rate of impervious cover of 27% for scenario 1 and 55% for scenario 2. The flow discharge increase for the year2020 is expected to bebetween1% to 14.9% for scenario1.
dc.languageeng
dc.sourceWorld Conference on Computers in Agriculture. Universidad de Costa Rica, San Jose, Costa Rica. 27-30 de julio de 2014
dc.subjectHydrologic Modeling
dc.subjectUrban expansion
dc.subjectLand use change
dc.subjectSensitivity Analysis
dc.subjectGEOGRAPHICAL INFORMATION SYSTEMS (GIS)
dc.subjectREMOTE SENSING
dc.subjectLandSat
dc.subjectCOSTA RICA
dc.titleHydrologic Modeling Analysis from Land Use Scenario Changes in Quebrada Seca and Bermudez Watershed
dc.typecomunicación de congreso


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