Water quality index using fuzzy logic Utcubamba River, Peru

Keywords: Water analysis, water chemistry, water pollution, computer application, artificial intelligence


Water is a fundamental nutrient in the life of any living being. Therefore, it is necessary to estimate its quality, because it is an issue that increasingly concerns countries around the world for reasons such as the health of the population, regional, national and international economic development and the environmental quality of the ecosystems A tool that is being used to know the state of the water is the water quality indexes (WQI). The objective of this research was to development an ICA based on fuzzy logic, which allows to estimate water quality. The methodology that has been used was proposed by Icaga (2007). To evaluate the WQI called "Diffuse Water Quality Index" (DWQI), sixteen sampling points were used by the Research Institute for Sustainable Development during October 2014 on the Utcubamba River and its tributaries. To validate the index, it was necessary to estimate the correlation coefficient R2 between the results obtained with those of the Water Quality Index NSF WQI reported by the Water Research Center. This new index presented results and reasonable correlation, R2 = 0.81. It is concluded that DWQI can be used as a tool for decision making in the water management of the Utcubamba River.


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How to Cite
Quiñones, L., Ochoa, L., Milla, M., Bazán, J., Gamarra, O., & Rascón, J. (2020). Water quality index using fuzzy logic Utcubamba River, Peru. Revista De Ciencias Agrícolas, 37(1). Retrieved from https://revistas.udenar.edu.co/index.php/rfacia/article/view/5644