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dc.contributor.authorLubega, Benjamin Byron
dc.date.accessioned2022-05-18T06:03:13Z
dc.date.available2022-05-18T06:03:13Z
dc.date.issued2022-01-24
dc.identifier.citationLubega, Benjamin Byron. (2022). Assessing the susceptibility of the quality of surface water to pollution using GIS and WQI. (Unpublished undergraduate dissertation) Makerere University; Kampala, Uganda.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12281/12640
dc.descriptionA final year project report submitted to the department of Geomatics and Land Management in partial fulfillment of the requirements for an award of a Bachelors degree of Bachelor of Science Land Surveying and Geomatics of Makerere University.en_US
dc.description.abstractSurface water is addressed as one of the most essential natural resources that preserve life for eco- sustainability. Most human activities are run by water such as agriculture, industry, recreation, navigation, fisheries, cooking bathing, washing, drinking, etc. (Raikar and Sneha, 2012). The United Nations convention recognizes access to safe drinking water as a universal human right. (WHO, 2011). However, In Africa, this human right of access to water and sanitation services remains a dream. In the year 2000, roughly 36% of the population lacked access to safe drinking water, and approximately 40% lacked access to sanitary facilities (WHO, 2001). These discrepancies were even more pronounced in rural areas where 50% of the people lacked eased access to safe water, compared to 14% in urban areas. In Uganda around the year 2017, the proportion of the population with access to surface water gradually decreased from 12.6 % to 6.7 % (Available at: https://knoema.com/atlas/Uganda/topics/Water/Water-Supply-Total- Population/Proportion-of-population-with-surface-water)en_US
dc.language.isoenen_US
dc.publisherMakerere Universityen_US
dc.subjectWater surfaceen_US
dc.subjectPollution using GISen_US
dc.subjectPollution using WQIen_US
dc.titleAssessing the susceptibility of the quality of surface water to pollution using GIS and WQI.en_US
dc.typeThesisen_US


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