Determination of pedestrian displacement velocity for ground exploration programs

In Engineering and Geophysics field exploration, uncertainty for determination of the velocity of ground data acquisition due to extreme topographic conditions has been underestimated in the calculation of the displacement time between stations or sampling points. This lack of reliable models, negat...

Full description

Autores:
Ochoa Gutierrez, Luis Hernán
Hernandez Pardo, Orlando
Martinez Martinez, Luis Joel
Tipo de recurso:
Article of journal
Fecha de publicación:
2017
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/67579
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/67579
http://bdigital.unal.edu.co/68608/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
Displacement velocity
GIS
fieldwork
exploration
cost estimation
budget
activities programming
Velocidad de desplazamiento
SIG
trabajo de campo
exploración
estimación de costos
presupuesto
programación de actividades
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
Description
Summary:In Engineering and Geophysics field exploration, uncertainty for determination of the velocity of ground data acquisition due to extreme topographic conditions has been underestimated in the calculation of the displacement time between stations or sampling points. This lack of reliable models, negatively affects the determination of costs and planning of fieldwork activities. Known models of times and routes of displacement determination such as the “Smaller Cost Routes” are based on the effect of the type of land and the slope. However, these models consider the effect of the slope by means of subjective impedance values which has no a clear physical meaning. Furthermore, the upslope or downslope displacement is not considered to affect the reliability of velocity estimation. In this paper, a model of displacement velocity is proposed taking into account the upslope/downslope factor. The model was determined using real data from a topographical survey along a pipeline of 880 Km extended along terrains with changing climatic and topographic conditions. As a result, the proposed model improves the selection of optimal routes for a reliable time and cost estimation.