La conductividad como parámetro predictivo de la dureza del agua en pozos y nacientes de Costa Rica

Solís-Castro, Yuliana; Zúñiga-Zúñiga, Luis Alberto; Mora-Alvarado, Darner A.

doi:10.18845/tm.v31i1.3495

Cited by 9 publications

(5 citation statements)

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“…It is related to the concentration of salts in solution, in which dissociation generates ions capable of conducting electric charge. In groundwater, the conductivity may be higher due to the number of ions present [68,69] pH It is generally neutral, around 7; however, it depends on the chemical composition of the adjacent rocks and the presence of acids or bases in the medium [70].…”

Section: Electrical Conductivitymentioning

confidence: 99%

Aquifers and Groundwater: Challenges and Opportunities in Water Resource Management in Colombia

Aranguren-Díaz,

Galán-Freyle,

Guerra

et al. 2024

Water

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Water is essential for life on Earth, playing fundamental roles in climate regulation, ecosystem maintenance, and domestic, agricultural, and industrial processes. A total of 70% of the planet is covered by water. However, only 2.5% is fresh water, and much of it is inaccessible. Groundwater is the main source of the planet’s available water resources. For that reason, groundwater is a critically important resource, and is increasingly vulnerable due to the climate crisis and contamination. These challenges threaten the availability of clean and safe water, necessitating an understanding of effective and sustainable management. This review presents an overview of the concepts of aquifers and groundwater. Also, it reflects on the importance of these resources in developing countries such as Colombia (South America). In addition, it considers the characteristics of mineral waters, their uses, and associated risks, as well as their exploration and control policies. Colombia is a country with immense water and biological wealth and is crucial to maintaining the climate and availability of global water resources. Nevertheless, managing Colombia’s aquifers is a challenge, as many have not yet been fully explored. In order to achieve this, it is necessary to study hydrogeochemistry through the application of advanced technologies to analyze the dynamics, distribution, and quality of groundwater, as well as its vulnerability to pollution and climate change. On the other hand, the consumption of mineral groundwater can have health benefits, such as positive cardiovascular and gastrointestinal effects. But geogenic, biogenic, or anthropogenic elements such as heavy metals and microplastics can pose a risk to human health. The need for proper management of water resources to prevent risks to human health and the environment is emphasized. Therefore, an integrated approach to water resource management will ensure conservation and sustainable use, secure a continuous supply of freshwater, and facilitate adaptation to climate change.

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Section: Electrical Conductivitymentioning

confidence: 99%

Aquifers and Groundwater: Challenges and Opportunities in Water Resource Management in Colombia

Aranguren-Díaz,

Galán-Freyle,

Guerra

et al. 2024

Water

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“…While coffee honey water values were higher, ranging between 938.67 and 1137 mS/cm. The electrical conductivity of water depends on the water temperature: The higher the temperature, the higher the electrical conductivity (Solís-Castro et al, 2018).…”

Section: Characterization Of the Evaluated Coffee Farmsmentioning

confidence: 99%

Water Quality in Small-Scale Coffee Production Units, Amazonas, Peru

Rojas¹,

Chávez²,

Garcia³

et al. 2022

OnLine Journal of Biological Sciences

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The objective of this research was to determine water quality in small-scale coffee production units in the Amazon Region, Peru. The characterization of the factors associated with coffee farmers was collected through surveys. The Standard Methods for the Examination of Water and Wastewater (APHA) method was used to determine the physicochemical and microbiological parameters of the incoming water (AE) (water for human consumption) and the outgoing water (AS) (wastewater from coffee washing). The results indicated that the coff ee growers do not have adequate technology for washing the coffee and that they use water for these activities. In the characterization of the water, significant differences were found between the parameters of the AE and the AS, where the pH of the AE ranged from 7.00 to 7.32 and the pH of the AS from 3.76 to 4.44. The turbidity of the AS showed high values of 1814.47 NTU. Total Coliforms (TC) and heavy metals such as copper and chromium all increased in value up to 0.20 and 0.15 ppm in the AS compared to the AE. The characteristics of the water quality consumed by the coffee growers are poor and values above Peruvian standards were found.

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“…La CE mostró relación con los parámetros NT, PT, OD, CTT, y DBO 5 (Figura 5), debido a que está conformada por iones provenientes de sales disueltas y materia inorgánica componentes de los parámetros mencionados. Esto puede deberse a la presencia de otros aniones o cationes que también contribuyen a la conductividad eléctrica (Solís-Castro et al, 2018).…”

Section: Modelamiento Mediante áRboles De Predicciónunclassified

Modelamiento de Relaciones entre Parámetros Fisicoquímicos y Microbiológicos en Aguas de la Bahía Interior del Lago Titicaca-Puno (Perú) mediante Árboles de Predicción

Vargas

2021

Rev. Téc. Ing. Univ. Zulia.

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La cuantificación de parámetros fisicoquímicos y microbiológicos es fundamental para definir la calidad del agua, pero el entendimiento de las relaciones y el comportamiento de estos parámetros, contribuyen a definir el estado trófico y calidad ambiental de los ecosistemas acuáticos. En este contexto, el objetivo del estudio fue determinar las relaciones entre los parámetros fisicoquímicos y microbiológicos del agua de la bahía interior del lago Titicaca en la ciudad de Puno-Perú, aplicando la técnica de árboles de predicción de aprendizaje automático. La muestra estuvo constituida por 17 parámetros de calidad, que fueron medidos mensualmente durante enero de 2013 y abril de 2019, obteniéndose un total de 76 datos por cada parámetro. Para la elaboración de los árboles de predicción y su posterior interpretación, se utilizó el paquete estadístico R. Se evidenció que los parámetros fisicoquímicos preponderantes del lago Titicaca, son temperatura, oxígeno disuelto, potencial de hidrógeno, conductividad eléctrica, sólidos suspendidos totales, clorofila-a, demanda bioquímica de oxígeno, demanda química de oxígeno y transparencia, a partir de los cuales se aplicó la técnica de árboles de predicción y se comprobó la eficiencia de estos modelos estadístico en la predicción de dichos parámetros para realizar estimaciones, teniendo en cuenta las características del lugar donde se utilice.

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La conductividad como parámetro predictivo de la dureza del agua en pozos y nacientes de Costa Rica

Cited by 9 publications

References 0 publications

Aquifers and Groundwater: Challenges and Opportunities in Water Resource Management in Colombia

Aquifers and Groundwater: Challenges and Opportunities in Water Resource Management in Colombia

Water Quality in Small-Scale Coffee Production Units, Amazonas, Peru

Modelamiento de Relaciones entre Parámetros Fisicoquímicos y Microbiológicos en Aguas de la Bahía Interior del Lago Titicaca-Puno (Perú) mediante Árboles de Predicción

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