Modelo de correlación múltiple para la determinación de variables estocásticas en función de coordenadas UTM

Autores/as

  • Campos Cedeño Antonio Fermín Universidad Técnica de Manabí

DOI:

https://doi.org/10.33936/riemat.v2i2.1126

Palabras clave:

multiple linear regression, mathematical model, geographical information systems, Hydrology, rainfall

Resumen

to determine the average annual rainfall at a specific site in a basin, it is necessary to count with rainfall information in the study area and topographic information. Counting with base information, is comes to the filling of them data missing with the help of any of them methods statistical existing for the effect. With the full series are determined values average annual rainfall for the rainfall stations studied. On the other hand, with the geographic location of the stations and maps of the areas of study Thiessen polygons are built. Then, with Thiessen polygons, study basin area and values of average annual rainfall determines the rainfall for the area of study. Based on this procedure, may be elaborated isohyet or curves of equal rainfall, that are an input that can help also to estimate of precipitation in a specific geographical site. Here is a methodology that allows creating with the help of geographic information systems (GIS), a mathematical model to estimate very accurately the values of rainfall based only on the geographical coordinates. To achieve this objective, the basins of the Hydrographic Demarcation of Manabí (Ecuador) have been chosen to develop the indicated mathematical model, which can be applied to other basins in the world.

Descargas

La descarga de datos todavía no está disponible.

Citas

[1] Campos A.F. Runoff of the hydrographic demarcation of Manabi (Ecuador)/ // Proceedings of the VIII International Scientific and Practical Conference "Engineering Systems - 2015". — 2015.pp. 291-295.
[2] Campos, A. F., Sinichenko, E. K., Gritsuk, I. I. Morphometric characterization parameters of river basin of Manabi (Ecuador)/ // VESTNIK № 1 - Peoples' Friendship University of Russia. — 2015.pp. 10.
[3] Rumyantsev, V. K. Hydrological calculations in hydrotechnical constructions /. — Moscú: Peoples' Friendship University of Russia, 1992. — pp. 100.
[4] Zhurkin, I. G., Shaytura, S. V. Sistemas de Información Geográfica /. — Moscú: KUDITS-PRESS, 2009. — pp. 312.
[5] Universidad de Córdoba. Correlación múltiple y correlación canónica [Electronic Resource] / Universidad de Córdoba. — 2015. — Access mode: http://www.uco.es/zootecniaygestion/img/pictorex/06_19_26_8_correlacion_multiple.pdf.
[6] Wikimedia, F. Sistemas de Información Geográfica [Electronic Resource] / Wikimedia, F. — 2015. — Access mode: http://dic.academic.ru/dic.nsf/ruwiki/22609.

Publicado

2017-12-15

Número

Sección

Artículos