Diagnóstico del desarrollo urbano, proyectado a la futura infraestructura de acueducto público de la ciudad de Tunja Boyacá.

Abstract

VEOLIA AGUAS TUNJA S.A. E.S.P. Company and its Planning management and Construction, in search of implementing and developing improvement continuous programs of the services of aqueduct and sewerage that are provided to subscriber users and potential users; I develop this research project, which has as main objective to carry out a real-time analysis of the increase in the urban coverage of these public services provided in Tunja, to ensure a permanent and sustainable improvement of the operation and maintenance of the aqueduct and sewerage that the company provides. For the development of this research, a strategy is defined Using a statistical and geographical analysis, obtained from the information Collected of those viabilities and availabilities of service generated by VEOLIA (in the period from 2018 to 2020), to the builders and developers who requested this service.

With this information in the first stage, a statistical analysis of the areas potentially urbanizable is Carried out, After That a recognition of the location of the project (rural, urban or partial plan), the type of use that will have (Residence, commercial or Institutional), the type of project (urbanization or building) and the current state of the project. In the second stage, an analysis was generated of the hydraulic sectors (to be able to have a flow of demand and the respective pressures) and drainage districts (to be able to have the drainage areas) where the respective technical data were requested.

Finally, for the third stage a geographical recognition is developed Using thematic maps that show particular characteristics or concepts, in this case the maps of Coropletas and heat maps were used, which were generated Through ArcGIS 10.5. Using the global Moran was tested, a spatial autocorrelation, it was generated by the local groupings in hydraulic sectors and drainage districts, the statistics with the Pearson linear correlation coefficient were used, to be able to determine the value that is needed to make the respective linear adjustment that is bounded between 1 and -1, and the coefficient of determination which measures the goodness of adjustment (how much variance exists in the model).

The collection of all this information aims to be able to count on results close to the reality of the current demands and the future demand, necessary to ensure good service quality to subscriber users and builders who request the service (which generate potential users), identified if the master plan that is currently in place is in line with the demands that Tunja has today, and that the construction sector is generated. So that finally if it is the respective case to be able to obtain the shortcomings and needs that are or can be had in the services and to be able to meet the needs that are generated.