Statistical analysis of groundwater quality at Wonji Shoa Sugar Estate

• Autorzy: Dinka Megersa Olumana

Identyfikatory

DOI

10.24425/jwld.2022.140778

• Języki publikacji: EN

Abstrakty

EN

Quality assessment of shallow groundwater table is very important because it is the water that recharges deeper aquifers and constantly feeds the water levels of our surface streams and wetlands. Continuous monitoring of large number of quality parameters is essential for effective maintenance of water quality through appropriate control measures. However, it is very difficult and laborious task for regular monitoring of all the parameters even if adequate manpower and laboratory facilities are available. Therefore, this study presents the statistical analysis of physico-chemical parameters (pH, EC, TDS, Na, K, Ca, Mg, HCO₃, Cl, CO₃, SO₄, TH, B, F) using correlation and Principal Component Analysis. The statistical analysis of the groundwater quality variables indicated that most of the variables are highly correlated. The strong correlation is an opportunity to develop a regression equation and monitor using few parameters. This provides an easy and rapid method of continuous groundwater quality monitoring. Moreover, groundwater of the area showed significant compositional variation. The compositional variability has implications for the source and origin of groundwater quality in the study area.

Słowa kluczowe

EN

correlation; groundwater quality; principal component; quality parameters; statistical analysis

• Wydawca: Wydawnictwo ITP
• Czasopismo: Journal of Water and Land Development
• Rocznik: 2022
• Tom: no. 53
• Strony: 45--50
• Opis fizyczny: Bibliogr. 17 poz., rys., tab.

Twórcy

autor

Dinka Megersa Olumana

• University of Johannesburg, Faculty of Engineering and the Built Environment, Department of Civil Engineering Sciences, PO Box 524, Auckland Park, 2006 Johannesburg, South Africa

• https://orcid.org/0000-0003-3032-7672

Bibliografia

• APHA, AWWA, WPCF 2005. Standard methods for the examination of water and wastewater. 21st ed. Washington DC. American Public Health Association, American Water Works Association, Water Environment Federation. ISBN 0875530478 pp. 2671.
• BELKHIRI L., BOUDOUKHA A., MOUNI L.A. 2010. Multivariate statistical analysis of groundwater chemistry. International Journal of Environmental Research. Vol. 5(2) p. 537–544. DOI 10.22059/IJER.2011.338.
• CELESTINO A.E.M., CRUZ D.A.M., SÁNCHEZ E.M.O., REYES F.G., SOTO D.V. 2018. Groundwater quality assessment: An improved approach to K-means clustering, principal component analysis and spatial analysis: A case study. Water. Vol. 10(4) 437. DOI 10.3390/w10040437.
• DINKA M.O. 2017. Hydrochemical composition and origin of surface water and groundwater in the Matahara area, Ethiopia. Inland Waters. Vol. 7. Iss. 3 p. 297–304. DOI 10.1080/20442041.2017.1329909.
• DINKA M.O. 2019. Groundwater property and composition variability under long-term irrigated area of Wonji Plain, Ethiopia. Journal of Water and Land Development. No. 41 (IV–VI) p. 37–46. DOI 10.2478/jwld-2019-0025.
• DINKA M.O. 2020. Groundwater quality composition and its suitability for drinking in long-term irrigated area. Journal of Water and Land Development. No. 44 (I–III) p. 43–54. DOI 10.24425/jwld.2019.127044.
• DINKA M.O., LOISKANDL W., NDAMBUKI J.M. 2013. Seasonal behaviour and spatial fluctuations of groundwater levels in long-term irrigated agriculture: The case of Wonji Shoa Sugar Estate (Ethiopia). Polish Journal of Environmental Studies. Vol. 22. Iss. 5 p. 1325–1334.
• DINKA M.O., LOISKANDL W., NDAMBUKI J.M. 2015. Hydrochemical characterization of various surface water and groundwater resources available in Matahara areas, Fantalle Woreda of Oromiya region. Journal of Hydrology: Regional Studies. Vol. 3 p. 444–456. DOI 10.1016/j.ejrh.2015.02.007.
• DINKA M.O., NDAMBUKI J.M. 2014. Identifying the potential causes of waterlogging under long-term irrigated agriculture: The case of Wonji-Shoa Sugarcane Plantation (Ethiopia). Irrigation and Drainage. Vol. 63 p. 80–92. DOI 10.1002/ird.1791
• EL BAGHDADI M., MEDAH R., JOUIDER A. 2019. Using statistical analysis to assess urban groundwater in Beni Mellal City (Morocco). International Journal of Agronomy. Vol. 2019, 7469741 p. 1–22.
• FOSTER S. 2006. Groundwater-sustainability issues and governance needs. Episodes. Vol. 29(4) p. 238–243.
• FOSTER S., CHILTON J., NIJSTEN G.J., RICHTS A. 2013. Groundwater - a global focus on the ‘local resource’. Current Opinion in Environmental Sustainability. Vol. 5(6) p. 685–695. DOI 10.1016/j.cosust.2013.10.010.
• IRANMANESHA A., LOCKE R.A., WIMMER B.T. 2014. Multivariate statistical evaluation of groundwater compliance data from the Illinois Basin - Decatur Project. Energy Procedia. Vol. 63 p. 3182–3194. DOI 10.1016/j.egypro.2014.11.343.
• JENAL V., DIXIT. S., GUPTA S. 2012. Physico-chemical parameters assessment of ground water in different sites of Bhilai City, Chhattisgarh. Rasayan Journal of Chemistry. Vol. 5. Iss. 4 p. 506–509.
• MACDONALD A.M., FOSTER S.S.D. 2016. Groundwater systems. In: Spring: managing groundwater sustainably. Ed. M. Smith. Gland, Switzerland. IUCN p. 24–48.
• WHO 2011. Guidelines for drinking-water quality. 4 th ed. Geneva, Switzerland. World Health Organization. ISBN 978 92 4 154815 1 pp. 541.
• ZAPOROZEC A. 1981. Ground-water pollution and its sources. GeoJournal. Vol. 5 p. 457–471. DOI 10.1007/BF02484718.

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).