Major ions, δD, δ18O and microbial characterization of drinking water sources along the West Coast of Cameroon

Sanga, Amban B.; Melisa, Bijingsi; Fantong, Wilson Y.; Banseka, Hycinth S.; Ayonghe, Samuel N.

doi:10.1007/s12665-020-8837-4

Cited by 2 publications

(1 citation statement)

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“…The amount of should have an connections that considerably which will definitely depends on hydro-meteorological, fluvial, and anthropogenic, this should also include geological processes, 1 these conditions may influences the composition from hydro chemical of water bodies including the local and regional scales. [2][3][4][5] These has a result such as surface water quality that is subjected to hydro chemical alteration the variations definitely indicates climate and environment changes thus increased precipitation, evaporation, domestic and industrial activities, it also includes agriculture and breeding, human and animal consumption. 6 There are conditions that shows the rate of hydro chemical characteristics, it also represents other significant factors that determining the required multi-purpose applied on water 7,8 this was carried out other to better the identify and basic processes affecting the chemical composition of the surface water.…”

Section: Introductionmentioning

confidence: 99%

Heterogeneous velocity and dispersions coefficient influence on ionic transport model in creeks

Sn¹,

CF²

2022

MSEIJ

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This paper shows the rate of ionic concentration in the creek, different station point were used to monitor their variation rates of concentration in the creek, the transport system were developed based on the investigation carried out to observed the source of contamination in the study environment, the process were applied in other to determine the significant parameters that influence the transport process of the contaminant, these generates variations of the creek velocity and dispersion coefficient, the flow rates experienced heterogeneity in its depositions through its velocity rates at different station points, such parameters were integrated in the system to generated derived simulation values, the graphical representation experience decrease with respect to increase in distance, these condition observed were due to variations of the creek flow rates through velocity of flows in different figures, such conditions were observed to pressured the system that determine the concentration rates at different figures, these figures reflects different station points that validated the predictive values through experimental data for model validation, the generated results were above the permissible limited as an acceptable standard of 0.3Mg/L, the study is imperative because the rate of ionic content in different locations has been determined, their influential parameters has be observed in the study environment, there rates of concentrations which reflects the significant parameters that pressured it transport process in the creek has been observed, these were all determined in the study environment, proofing the validation of the model for ionic concentration in the study area.

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