This thesis evaluated a variety of straightforward spatial data and analysis techniques for identifying potentially favorable areas for manual well drilling in the Zinder region of Niger. A key question was whether environmental variables derived from publicly available spatial data had the capacity to augment groundwater depth data for mapping these potentially favorable areas. Some variables considered were: a new calculation of vegetation persistence derived from Moderate Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI) data, MODIS night land surface temperature, and lineament properties, topographic convergence index, and landforms derived from the Shuttle Radar Topography Mission Digital Elevation Model (SRTM DEM). Regression tree analysis showed that geology and soils were the strongest variables for predicting groundwater depth in the study area. The results indicated and parsimony dictates that a geology map and adequate groundwater data are sufficient to map favorable areas for manual well drilling. However, the regression tree analysis also revealed that the combination of relatively high vegetation persistence and low night land surface temperature were related to shallow groundwater depth and can improve favorability mapping for manual well drilling. Additional research is needed to describe these relationships further. Among the output was a procedural outline for favorability mapping, which uses common hydrogeologic and terrain criteria to differentiate between topography and recharge controlled water tables, to direct the choice of variables used in future mapping efforts. Ultimately, several maps of favorable areas for manual well drilling for the Zinder region were created using geology, groundwater depth, and threshold values of environmental variables from the regression tree analysis.
|Advisor:||Thomas, James M.|
|Commitee:||Bassett, Scott, McGwire, Kenneth|
|School:||University of Nevada, Reno|
|School Location:||United States -- Nevada|
|Source:||MAI 49/01M, Masters Abstracts International|
|Subjects:||Geology, Hydrologic sciences, Remote sensing|
|Keywords:||Groundwater exploration, Manual well drilling, Niger, Regression trees, Remote sensing|
Copyright in each Dissertation and Thesis is retained by the author. All Rights Reserved
The supplemental file or files you are about to download were provided to ProQuest by the author as part of a
dissertation or thesis. The supplemental files are provided "AS IS" without warranty. ProQuest is not responsible for the
content, format or impact on the supplemental file(s) on our system. in some cases, the file type may be unknown or
may be a .exe file. We recommend caution as you open such files.
Copyright of the original materials contained in the supplemental file is retained by the author and your access to the
supplemental files is subject to the ProQuest Terms and Conditions of use.
Depending on the size of the file(s) you are downloading, the system may take some time to download them. Please be