Finding parameter that provide higher boreholes flow rate: using ANOVA test, Cameroon
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ORIGINAL ARTICLE
Finding parameter that provide higher boreholes flow rate: using ANOVA test, Cameroon A. B. Anaba Onana1 · O. Njikeu1 · R. M. Onana Onana2 Received: 2 March 2020 / Accepted: 7 September 2020 / Published online: 21 September 2020 © Springer Nature Switzerland AG 2020
Abstract The aim of this study is to examine the possible influence of five factors on the flow rate of 242 holes drilled in crystalline rocks in the Central Region of Cameroon. Boreholes were grouped according to type, proximity to lineaments, total drilling depth, weathering depth and topographic setting. Results indicate that proximity to lineament is the factor that highly influences flow rate, followed by topographic setting, total drilling depth, rock type and weathering depth in decreasing order of importance. Proximity to lineament represents 16.77% observed variation on the flow rate. Comparing these results with those obtained by other authors indicate that few authors had earlier obtained proximity to lineament as first parameter that influences the yield as is the case in this study. This difference may be due to the fact that drillers stop digging once they get water into the drill. Also in this study, the fact that the number of wells tested is not uniformly distributed in the study area could influence the results. Keywords Boreholes · Crystalline bedrock · Yield · Flow rate · Centre · Cameroon
Introduction The availability of drinking water is one of the major objectives of worldwide development projects. The constantly growing water needs observed in recent decades have pushed research into the groundwater of crystalline rocks. These, because of their very low and highly variable intrinsic properties (permeability and porosity), require specific knowledge for optimal use. It is in this context that several studies have been undertaken to seek the single parameter or combination of factors that was most influential in controlling the yield of crystalline aquifers. According to Long et al. (1985); Berkowitz (1995) and Odling (1997), the yield of crystalline bedrock aquifers is mainly controlled by fracturing through the opening, length, spatial distribution and connectivity of basement fracture. Cline (1968), McFarlane et al. (1992), Henriksen (1995) and Mabee (1999) showed the influence of topography on the productivity of drilling. * A. B. Anaba Onana [email protected] 1
Department of Earth Sciences, University of Yaoundé 1, P.O Box 812, Yaounde, Cameroon
Ministry of Public Health, National Aids Control Committee, P.O Box 1469, Yaounde, Cameroon
2
For Gustafson and Krásný (1994) and Neves and Morales (2007), the productivity of drilling is more influenced by rock type which is dug. Other works have shown that the productivity of drilling in crystalline bedrock is linked to a number of factors such as bedrock type (pegmatite, gneiss …), lithologic setting (aureole of granitoids), proximity and orientation of dykes, proximity and orientation of lineaments and topographic setting (slope, valleys …), which mus
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