Análisis geoespacial para la determinación de vapor de agua troposférico con datos de GPS en Ecuador
The objective of this investigation is to analyze the distribution of GPS receivers and meteorological stations geospatially in Ecuador. This information allows to identify at least three zones with different climates and managing the water vapor obtained from the tropospheric delay of the GPS...
| Autor Principal: | Lema Sánchez, Lizbeth Carolina |
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| Formato: | bachelorThesis |
| Idioma: | spa |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: |
http://dspace.ups.edu.ec/handle/123456789/16069 |
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| Sumario: |
The objective of this investigation is to analyze the distribution of GPS receivers
and meteorological stations geospatially in Ecuador. This information allows to identify
at least three zones with different climates and managing the water vapor obtained from
the tropospheric delay of the GPS signal. Because it has found that tropospheric, water
vapor is a plausible predictor of intense rain. This research, meteorological data was
used along with an infra-hour resolution and available information since 2010 from
INAMHI and FONAG, while the GPS data was taken from the RENGEO’s IG, which
have a temporal resolution of 15 and 30 seconds, since 1996. The stations are selected
based on an influence area with a GPS radius of 10km for each one, having 27 geodetic
GPS receiver points located in three regions of Ecuador, distributed as follows 22% in
the highlands, 70% on the Coast and 7% in the Amazon. Regarding the automatic
weather stations, 20 stations from INAMHI and 1 station from FONAG were selected.
These stations were distributed this way 24% on the Coast, 71% in the highlands and
5% in the Amazon, covering all range of elevations except the temperate one that covers
from 1000 to 2000 meters above the sea level.
Finally, it is concluded that this type of studies are representative in the climate
regions of Ecuador to determine water vapor with the tropospheric delay of the GPS
signal and the data will serve to create an early warning system for intense rain events
with sufficient anticipation and temporary resolution. |
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