V WMSSE

Abstracts

Abstract information

English title:	Modeling for the interpolation of raster values, in physicochemical parameters, as a vector of points: a study case of Sochagota lake, Boyac�, Colombia
Spanish title:	Modelado para la interpolaci�n de valores r�ster, en par�metros fisicoqu�micos, como un vector de puntos: estudio de caso lago Sochagota Boyac�, Colombia
English abstract:	This research shows the raster values as a vector of points, for the physicochemical parameters that intervene in the definition of the water quality indices and the calculation of the contamination indicators, through the application of the interpolation method that uses the function of the inverse distance weighting, applied in hydrological studies, mining exploration and environmental contamination, where there are few monitoring points. Data were collected on eight samples, including 28 physicochemical parameters from the artificial lake of Sochagota, located in Paipa, Boyac�, Colombia. With the calculation processes, the interpolation results were identified for each variable, making use of mathematical modeling and representation in flat coordinates of the raster values, according to probabilistic confidence intervals, which allowed identifying the levels of contamination and quality of the body of water under study.
Spanish abstract:	Esta investigaci�n muestra los valores r�ster como un vector de puntos, para los par�metros f�sico qu�micos que intervienen en la definici�n de los �ndices de calidad del agua y el c�lculo de los indicadores de contaminaci�n, a trav�s de la aplicaci�n del m�todo de interpolaci�n que usa la funci�n de la distancia inversa ponderada, aplicado en estudios hidrol�gicos, exploraci�n minera y contaminaci�n ambiental, donde se cuenta con pocos puntos de monitoreo. Se tomaron datos sobre ocho muestras, que incluye 28 par�metros fisicoqu�micos del lago artificial de Sochagota, localizado en el municipio de Paipa, Boyac�, Colombia. Con los procesos de c�lculo se identificaron los resultados de interpolaci�n, para cada variable, haciendo uso de la modelizaci�n matem�tica y representaci�n en coordenadas planas de los valores r�ster, de acuerdo con intervalos de confianza probabil�stica, que permiti� identificar los niveles de contaminaci�n y calidad del cuerpo de agua del estudio.
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Authors

Name	Institution	Email
Yecid Javier Salas Sarmiento	Universidad Distrital Francisco Jos� de Caldas	yjsalass@udistrital.edu.co
Alvaro G�mez Mart�nez	Universidad de Boyac�	alvarogomez@uniboyaca.edu.co

Presentation

Room:	Principal Room
Date:	25 July 2022
Hour:	17:50 - 18:10

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V WMSSE
V Workshop on Modeling and Simulation for Science and Engineering

Previous editions:
I WMSSE
II WMSSE
III WMSSE
IV WMSSE

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