Assessment of Groundwater Quality in Southern Suburb of the Omdurman City of Sudan

Abdelmonem, M; Hago, M. Abdel-Magid; Elhussein, I. Shommo

doi:10.15580/gjemps.2013.2.112212283

Cited by 3 publications

(3 citation statements)

References 26 publications

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“…The geological units in the study area are composed of superficial deposits, volcanic rocks, Cretaceous sedimentary rocks and Basement Complex. Basement rocks representing the blanket upon which other formations were deposited, more or less subsurface occurrence to considerable depths [4]. Although the study area of three previous studies has the same geological feature, great spatial variation and temporal fluctuation among the physiochemical characteristics were noticed.…”

Section: Discussionmentioning

confidence: 89%

“…) ion concentration in the study area varies from 3.0 to 178.6 mg/L [3]. Abdelmonem et al [4] analyzed 92 groundwater well to assess the quality of drinking groundwater in Southern Suburb of the Omdurman City with respect to the total dissolved solids (TDS), fluoride (F -), total hardness (TH) and nitrate (NO 3 -). In addition, electric conductivity (EC), pH and the major cations (Ca +2 , Mg +2 , Na + and K + ) and anions (Cland HCO 3 -) were also investigated.…”

Section: -mentioning

confidence: 99%

“…They revealed that 27% of the wells having TDS levels in excess of the maximum recommended level of 1000 mg/l set by the Sudanese Standards & Metrology Organization (SSMO, 2002). With the exception of NO 3 -, some wells showed drinking water analyses in excess of the standards set by the SSMO [4]. A third study was carried out by Babiker et al [5] to analyze Physicochemical of Surface and Ground Water in Karrary locality, Omdurman, Sudan.…”

Section: -mentioning

confidence: 99%

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Spatial and Temporal Variation of Groundwater Quality within Omdurman Locality Geological Zone

Hassan

Aziz

2019

OAJESS

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Groundwater is one of the main sources of water supply in many countries. Sudan has great potential of renewable and nonrenewable groundwater resources, which are important sources of water supply for domestic, industrial and agricultural uses. Omdurman locality is one of the biggest localities in Khartoum State, the capital of Sudan. The geological units in this area are composed of superficial deposits, volcanic rocks, Cretaceous sedimentary rocks and Basement Complex. Basement rocks representing the blanket upon which other formations were deposited, more or less subsurface occurrence to considerable depths. Groundwater quality may not remain unchanged, it undergoes temporal and spatial changes due to different reasons such as annual recharge, pollution and mass circulation. Quality may be changed to an extent that it may be unfit for the intended uses. This study aimed to assess the spatial and temporal variation of groundwater quality in Omdurman locality, Sudan in term of its physiochemical property.A quantitative Comparative study was used for three previous studies carried out in the area during three sequential years 2012, 2013 and 2014. The mean and maximum concentrations of six parameters obtained in those three studies were compared. Although the study area of three previous studies has the same geological feature, great spatial variation and temporal fluctuation among the physiochemical characteristics were noticed. Some parameters showed gradual increase in concentration during three subsequent years,2012-2014 such as sulfate while other parameters showed fluctuation during the same period such as sodium. Many parameters records levels of concentration exceeded both national and international standard levels. Routine check out of the physiochemical quality of the groundwater sources and investigating pollution sources among the borehole in the study area are highly recommended.

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Section: Discussionmentioning

confidence: 89%

Section: -mentioning

confidence: 99%

Section: -mentioning

confidence: 99%

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Spatial and Temporal Variation of Groundwater Quality within Omdurman Locality Geological Zone

Hassan

Aziz

2019

OAJESS

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Water as key to the sustainable development goals of South Sudan – A water quality assessment of Eastern Equatoria State

Kut

Sarswat

Bundschuh

et al. 2019

Groundwater for Sustainable Development

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A meta-analysis and statistical modelling of nitrates in groundwater at the African scale

Ouédraogo

Vanclooster

2016

Hydrol. Earth Syst. Sci.

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Abstract. Contamination of groundwater with nitrate poses a major health risk to millions of people around Africa. Assessing the space-time distribution of this contamination, as well as understanding the factors that explain this contamination, is important for managing sustainable drinking water at the regional scale. This study aims to assess the variables that contribute to nitrate pollution in groundwater at the African scale by statistical modelling. We compiled a literature database of nitrate concentration in groundwater (around 250 studies) and combined it with digital maps of physical attributes such as soil, geology, climate, hydrogeology, and anthropogenic data for statistical model development. The maximum, medium, and minimum observed nitrate concentrations were analysed. In total, 13 explanatory variables were screened to explain observed nitrate pollution in groundwater. For the mean nitrate concentration, four variables are retained in the statistical explanatory model: (1) depth to groundwater (shallow groundwater, typically < 50 m); (2) recharge rate; (3) aquifer type; and (4) population density. The first three variables represent intrinsic vulnerability of groundwater systems to pollution, while the latter variable is a proxy for anthropogenic pollution pressure. The model explains 65 % of the variation of mean nitrate contamination in groundwater at the African scale. Using the same proxy information, we could develop a statistical model for the maximum nitrate concentrations that explains 42 % of the nitrate variation. For the maximum concentrations, other environmental attributes such as soil type, slope, rainfall, climate class, and region type improve the prediction of maximum nitrate concentrations at the African scale. As to minimal nitrate concentrations, in the absence of normal distribution assumptions of the data set, we do not develop a statistical model for these data. The data-based statistical model presented here represents an important step towards developing tools that will allow us to accurately predict nitrate distribution at the African scale and thus may support groundwater monitoring and water management that aims to protect groundwater systems. Yet they should be further refined and validated when more detailed and harmonized data become available and/or combined with more conceptual descriptions of the fate of nutrients in the hydrosystem.

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Assessment of Groundwater Quality in Southern Suburb of the Omdurman City of Sudan

Cited by 3 publications

References 26 publications

Spatial and Temporal Variation of Groundwater Quality within Omdurman Locality Geological Zone

Spatial and Temporal Variation of Groundwater Quality within Omdurman Locality Geological Zone

Water as key to the sustainable development goals of South Sudan – A water quality assessment of Eastern Equatoria State

A meta-analysis and statistical modelling of nitrates in groundwater at the African scale

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