dc.creator | Chaves Herrera, Matías Adrián | |
dc.creator | Rojas González, Alejandra María | |
dc.creator | Rojas Jiménez, José Pablo | |
dc.creator | Aguilar Pereira, José Francisco | |
dc.date.accessioned | 2022-04-19T12:38:50Z | |
dc.date.accessioned | 2022-10-19T23:20:53Z | |
dc.date.available | 2022-04-19T12:38:50Z | |
dc.date.available | 2022-10-19T23:20:53Z | |
dc.date.created | 2022-04-19T12:38:50Z | |
dc.date.issued | 2014-07 | |
dc.identifier | https://journals.sfu.ca/cigrp/index.php/Proc/article/view/178 | |
dc.identifier | https://hdl.handle.net/10669/86443 | |
dc.identifier | 731-B4-212 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/4515441 | |
dc.description.abstract | During 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.language | eng | |
dc.source | World Conference on Computers in Agriculture. Universidad de Costa Rica, San Jose, Costa Rica. 27-30 de julio de 2014 | |
dc.subject | Hydrologic Modeling | |
dc.subject | Urban expansion | |
dc.subject | Land use change | |
dc.subject | Sensitivity Analysis | |
dc.subject | GEOGRAPHICAL INFORMATION SYSTEMS (GIS) | |
dc.subject | REMOTE SENSING | |
dc.subject | LandSat | |
dc.subject | COSTA RICA | |
dc.title | Hydrologic Modeling Analysis from Land Use Scenario Changes in Quebrada Seca and Bermudez Watershed | |
dc.type | comunicación de congreso | |