Examining the dynamics of the relationship between water pH and other water quality parameters in ground and surface water systems

Abstract

This study evaluated the relationship between water pH and the physicochemical properties of water while controlling for the influence of heavy metals and bacteriological factors using a nested logistic regression model. The study further sought to assess how these relationships are compared across confined water systems (ground water) and open water systems (surface water). Samples were collected from 100 groundwater and 132 surface water locations in the Tarkwa mining area. For the zero-order relationship in groundwater, EC, TDS, TSS, Ca, SO42-, total alkalinity, Zn, Mn, Cu, faecal and total coliform were more likely to predict optimal water pH. For surface water however, only TSS, turbidity, total alkalinity and Ca were significant predictors of optimal pH levels. At the multivariate level for groundwater, TDS, turbidity, total alkalinity and TSS were more likely to predict optimal water pH while EC, Mg, Mn and Zn were associated with non-optimal water pH. For the surface water system, turbidity, Ca, TSS, NO3, Mn and total coliform were associated with optimal water pH while SO42-, EC, Zn, Cu, and faecal coliform were associated with non-optimal water pH. The non-robustness of predictors in the surface water models were conspicuous. The results indicate that the relationship between water pH and other water quality parameters are different in different water systems and can be influenced by the presence of other parameters. Associations between parameters are steadier in groundwater systems due to its confined nature. Extraneous inputs and physical variations subject surface water to constant variations which reflected in the non-robustness of the predictors. However, the carbonate system was influential in how water quality parameters associate with one another in both ground and surface water systems. This study affirms that chemical constituents in natural water bodies react in the environment in far more complicated ways than if they were isolated and that the interaction between various parameters could predict the quality of water in a particular system.

Effect of Bamboo Charcoal on pH and Hardware in Dailed Well Water

“…In the adsorption process using activated charcoal and zeolite media can bind cations in water such as iron (Fe), aluminum, or magnesium. So that by reducing the metal compounds in it, it will have an impact on increasing the degree of acidity of the water (Saalidong et al, 2022). Water Hardness: Water that has been treated using the media that has been prepared, then the water hardness level is measured using the EDTA titrimetry method (Yan et al, 2022), the results of the hardness level measurement are shown in Table 3.…”

Association of growth-regulating insecticides and limonoid-based formulations: physicochemical compatibility and toxicity against Spodoptera frugiperda (Lepidoptera: Noctuidae)

“…In the present study, when mixing the IGRs and limonoid-based BI produced from neem plants, a reduction in the pH and an increase in the EC of the spray solution were verified. Although this trend is not a rule (Saalidong et al 2022) due to variations in the constituents of the insecticide formulations and their physicochemical properties (including buffer effect), this probably occurred due to the ionization/dissociation of the components in the spraying solution, releasing H+ in the solution that reduced the pH, and others ions that increase the EC. As the botanical formulations used are quite similar in terms of composition and most of IGRs tested are concentrated suspension type formulations, the same trend was observed for the different mixtures.…”

Analisis Pengaruh Ketinggian Tanah dan Kedalaman Sumur terhadap Suhu dan pH Air Sumur di Kabupaten Blitar

“…pH air <6,5 atau pH asam menyebabkan kelarutan logam cenderung tinggi. Air asam juga dapat menimbulkan korosi pada pipa logam [8]. Standar pH air yang baik berkisar antara 6,5 sampai 9,0.…”