{"refrec":{"BRefID":221256,"RR":"<b>Van Camp, M.; Mjemah Chikira, I.; Al Farrah, N.; Walraevens, K.</b> (2013). Modeling approaches and strategies for data-scarce aquifers: example of the Dar es Salaam aquifer in Tanzania. <i>Hydrogeol. J. 21(2)</i>: 341-356. <a href=\"https://dx.doi.org/10.1007/s10040-012-0908-5\" target=\"_blank\">https://dx.doi.org/10.1007/s10040-012-0908-5</a>","BEntID":212986,"PublicFlag":1,"CheckedFlag":1,"wosflag":1,"vabbflag":1,"RefStringPartII":". <i>Hydrogeol. J. 21(2)</i>: 341-356. <a href=\"https://dx.doi.org/10.1007/s10040-012-0908-5\" target=\"_blank\">https://dx.doi.org/10.1007/s10040-012-0908-5</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":0,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Van Camp, M.; Mjemah Chikira, I.; Al Farrah, N.; Walraevens, K.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Van Camp, M. <i>et al.</i>","Englishabstract":"Management of groundwater resources can be improved by using groundwater models to perform risk analyses and to improve development strategies, but a lack of extensive basic data often limits the implementation of sophisticated models. Dar es Salaam in Tanzania is an example of a city where increasing groundwater use in a Pleistocene aquifer is causing groundwater-related problems such as saline intrusion along the coastline, lowering of water-table levels, and contamination of pumping wells. The lack of a water-level monitoring network introduces a problem for basic data collection and model calibration and validation. As a replacement, local water-supply wells were used for measuring groundwater depth, and well-top heights were estimated from a regional digital elevation model to recalculate water depths to hydraulic heads. These were used to draw a regional piezometric map. Hydraulic parameters were estimated from short-time pumping tests in the local wells, but variation in hydraulic conductivity was attributed to uncertainty in well characteristics (information often unavailable) and not to aquifer heterogeneity. A MODFLOW model was calibrated with a homogeneous hydraulic conductivity field and a sensitivity analysis between the conductivity and aquifer recharge showed that average annual recharge will likely be in the range 80–100 mm/year.","AbstractOtherLang":null,"BibLvlCode":"AS","StandardTitle":"Modeling approaches and strategies for data-scarce aquifers: example of the Dar es Salaam aquifer in Tanzania","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2026-06-06 01:32:46.372535","timezone_type":1,"timezone":"+02:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":"Africa; Coastal aquifers; Groundwater flow; Over-abstraction; Numerical modeling","OtherDescriptors":null,"Notes":null,"AnaPub":2013,"MonPub":null,"DateUpdate":"2018-08-16","DateCreate":"2012-12-13","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":"WOS:000315213500004","VABBcode":null,"OpenAcc":0,"DOI":"10.1007/s10040-012-0908-5"},"refs":null,"anarec":{"AnaID":221256,"PubliDate":2013,"Pagination":"341-356","XtraPublOfAnaID":null,"ISBN":null,"Volume":"21","Issue":"2","BRefMon":null,"BRefMonRR":null,"BRefXtra":null,"BRefXtraRR":null,"SerBRefID":74671,"SerRR":"Hydrogeology Journal. 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