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- aggregation classification "A1".
- aggregation creator B285272.
- aggregation creator B285273.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2013".
- aggregation format "application/pdf".
- aggregation hasFormat 3020879.bibtex.
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- aggregation isPartOf urn:issn:1431-2174.
- aggregation language "eng".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Earth and Environmental Sciences".
- aggregation title "Modeling approaches and strategies for data-scarce aquifers: example of the Dar es Salaam aquifer in Tanzania".
- aggregation abstract "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.".
- aggregation authorList BK566356.
- aggregation endPage "356".
- aggregation issue "2".
- aggregation startPage "341".
- aggregation volume "21".
- aggregation aggregates 3020880.
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- aggregation similarTo s10040-012-0908-5.
- aggregation similarTo LU-3020879.