2019
DOI: 10.1016/j.gsd.2018.07.005
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Water as key to the sustainable development goals of South Sudan – A water quality assessment of Eastern Equatoria State

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Cited by 15 publications
(8 citation statements)
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“…The country is currently fronting significant difficulties in achieving the 2030 Sustainable Development Goals 6 (SDGs) framed in 2015, concentrating on the water as a path to sustainable development to tackle poverty, hunger, gender inequity, etc. [17,18].…”
Section: International Journal Of Scientific Advances Issn: 2708-7972mentioning
confidence: 99%
See 1 more Smart Citation
“…The country is currently fronting significant difficulties in achieving the 2030 Sustainable Development Goals 6 (SDGs) framed in 2015, concentrating on the water as a path to sustainable development to tackle poverty, hunger, gender inequity, etc. [17,18].…”
Section: International Journal Of Scientific Advances Issn: 2708-7972mentioning
confidence: 99%
“…Therefore, this situation encourages people to depend on unprotected wells, raw Water from River and streams, and getting more difficult to access water as drinking water truck is the popular water distribution system. The investigation concluded that two among three people in the country do not have access to safe and potable water supply services [18]. This paper investigates the drinking water budget per capita in developed and other African countries.…”
Section: International Journal Of Scientific Advances Issn: 2708-7972mentioning
confidence: 99%
“…Facies Na-Cl mostly in residential areas (Figure 3 and 6). Residential areas that are closely related to anthropogenic activity contribute to increased Cland Na+ concentrations (Kut et al, 2018). The increase in the value of these ions can also come from silicate weathering (Edet, Anieken;Worden, 2009;Zhang et al, 2015).…”
Section: Groundwater Facies and Facies Changesmentioning
confidence: 99%
“…K.M.K. Kut et al have successfully assessed a total of 176 groundwater samples for its suitability for drinking [8]. Tatjana Mitrović et al have predicted water quality of Danube River (Serbia) by using Monte Carlo optimised artificial neural networks.…”
Section: Related Workmentioning
confidence: 99%