Loading...
Please wait, while we are loading the content...
Influencia de la altitud y la distancia al Lago de Maracaibo en la caracterización pluviométrica del estado Trujillo, Venezuela
| Content Provider | Semantic Scholar |
|---|---|
| Author | Andressen, L. Rigoberto Pascual, Amelia Díaz De |
| Copyright Year | 2000 |
| Abstract | In order to assess the influence of some physical geographic variables upon rainfall characterisation of Trujillo state and the neighbouring areas in Venezuela, a data-base was established with the monthly rainfall, altitude and distance to the Lake of Maracaibo as variables. Seventy-five rainfall stations were selected according to their geographical location and data consistency. By using the Principal Component Analysis, altitude and distance to the Lake of Maracaibo are found to be the relevant variables for explaining the rainfall characteristics in the region. The first PCA axis explains 57% of the variability and monthly rainfall is associated with this axis. The second PCA axis explains 34% of the variability and is related to the altitude and the distance to the lake. Four groups of rain gages result from the two-axis plane, arranged according to the altitude and the distance to the Lake of Maracaibo. The first group is composed of rainfall stations, placed at altitudes of less than 10 m, very close to the lake’s shoreline (< 12 km) and with annual rainfall values between 800 and 1800 mm. The second group includes stations that are placed at an altitude up to 500 m, at a distance from the lake between 4 and 80 km, and with annual rainfall values between 600 and 1800 mm. The third group is made of stations, placed at altitudes between 300 and 2100 m, at distances from the lake between 20 and 160 km, and with annual rainfall values between 500 and 2500 mm. The fourth group is composed of those stations located at altitudes above 1000 m, at distances from the lake greater than 100 km, and with a wide range of annual rainfall between 600 and 3200 mm. If the rain-gages geographical location and the rainfall seasonal variation are analyzed, eleven subgroups can be differentiated. Nine subgroups show a bimodal seasonal rainfall regimen and only two show an unimodal regime. Based on this research results, it is suggested that further analyses be undertaken, including additional physical geographical and climatic variables. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.saber.ula.ve/bitstream/handle/123456789/41095/inflluenciadealtitud.pdf;jsessionid=8E2E3F207D8939349E2FC4667D0FDAC8?sequence=1 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |