Identifying Groundwater Potential in Crystalline Basement Rocks Using Remote Sensing and Electromagnetic Sounding Techniques in Central Western Mozambique

AbstractExploring for groundwater in crystalline rocks in semiarid areas is a challenge because of their complex hydrogeology and low potential yields. An integrated approach was applied in central western Mozambique, in an area covered by Precambrian crystalline basement rocks. The approach combined a digital elevation model (DEM), remote sensing, and a ground-based geophysical survey. The aim was to identify groundwater zones with high potential and to identify geological structures controlling that potential. Lineaments were extracted from the DEM that had been enhanced using an adaptive-tilt, multi-directional, shading technique and a non-filtering technique to characterize the regional fracture system. The shallowness and amount of stored groundwater in the fracture zones was assessed using vegetation indices derived from Landsat 8 OLI images. Then, 14 transient electromagnetic (TEM) survey profiles were taken in different geological settings across continuous lineaments that were considered to be aligned along inferred faults. In the central lineament zones, the TEM soundings gave resistivity values of less than 300 Ωm at a depth of 20–80 m. The values varied with location. Conversely, values greater than 400 Ωm were observed at the sites away from the central zones. This contrast is probably caused by the differences in permeability and degree of weathering along the fractured zones. These differences could be key factors in determining groundwater occurrence. By integrating five water-related factors (lineament density, slope, geology, vegetation index, and proximity to lineaments), high groundwater potential zones were located in the vicinity of the lineaments. In these zones, vegetation remains active regardless of the season.

[1]  Katsuaki Koike,et al.  Tectonic architecture through Landsat-7 ETM+/SRTM DEM-derived lineaments and relationship to the hydrogeologic setting in Siwa region, NW Egypt , 2006 .

[2]  G. Henebry Detecting change in grasslands using measures of spatial dependence with landsat TM data , 1993 .

[3]  E. Auken,et al.  A survey of current trends in near-surface electrical and electromagnetic methods , 2006 .

[4]  Olivier Bour,et al.  Fault zone hydrogeology , 2013 .

[5]  D. Civco Topographic normalization of landsat thematic mapper digital imagery , 1989 .

[6]  K. Koike,et al.  Auto-detection and integration of tectonically significant lineaments from SRTM DEM and remotely-sensed geophysical data , 2011 .

[7]  P. Barsukov,et al.  Shallow Investigations by TEM-FAST Technique: Methodology and Examples , 2015 .

[8]  V. Jayaraman,et al.  An approach to demarcate ground water potential zones through remote sensing and a geographical information system , 1996 .

[9]  Misac N. Nabighian,et al.  Electromagnetic Methods in Applied Geophysics: Volume 2, Application, Parts A and B , 1991 .

[10]  The Impact on Geological and Hydrogeological Mapping Results of Moving from Ground to Airborne TEM , 2014 .

[11]  R. Bryan,et al.  The influence of slope angle on final infiltration rate for interrill conditions , 1997 .

[12]  Ling Wang,et al.  Relationship between remotely sensed vegetation change and fracture zones induced by the 2008 Wenchuan earthquake, China , 2013, Journal of Earth Science.

[13]  M. Stewart,et al.  Transient Electromagnetic Sounding for Groundwater , 1986 .

[14]  C. Ebinger,et al.  Aeromagnetic and Landsat TM structural interpretation for identifying regional groundwater exploration targets, south-central Zimbabwe Craton , 2008 .

[15]  John M. Reynolds,et al.  An Introduction to Applied and Environmental Geophysics , 1997 .

[16]  Katsuaki Koike,et al.  Applicability of computer-aided comprehensive tool (LINDA: LINeament Detection and Analysis) and shaded digital elevation model for characterizing and interpreting morphotectonic features from lineaments , 2017, Comput. Geosci..

[17]  P. Bauer-Gottwein,et al.  How can remote sensing contribute in groundwater modeling? , 2007 .

[18]  Katsuaki Koike,et al.  Morphotectonics inferred from the analysis of topographic lineaments auto-detected from DEMs: Application and validation for the Sinai Peninsula, Egypt , 2011 .

[19]  E. Auken,et al.  Geophysical and hydrogeologic investigation of groundwater in the Karoo stratigraphic sequence at Sawmills in northern Matabeleland, Zimbabwe: a case history , 2007 .

[20]  J. A. Schell,et al.  Monitoring the Vernal Advancement and Retrogradation (Green Wave Effect) of Natural Vegetation. [Great Plains Corridor] , 1973 .

[21]  Esben Auken,et al.  The application of the transient electromagnetic method in hydrogeophysical surveys , 2003 .

[22]  A. Christiansen,et al.  Airborne and ground‐based transient electromagnetic mapping of groundwater salinity in the Machile–Zambezi Basin, southwestern Zambia , 2015 .

[23]  R. Acworth,et al.  The development of crystalline basement aquifers in a tropical environment , 1987, Quarterly Journal of Engineering Geology.

[24]  Thomas Günther,et al.  Geophysical investigation of a freshwater lens on the island of Langeoog, Germany – Insights from combined HEM, TEM and MRS data , 2017 .

[25]  G. E. Archie The electrical resistivity log as an aid in determining some reservoir characteristics , 1942 .

[26]  K. Koike,et al.  Lineament analysis of satellite images using a segment tracing algorithm (STA) , 1995 .

[27]  A. Huete,et al.  A Modified Soil Adjusted Vegetation Index , 1994 .

[28]  David P. Miller,et al.  Status of atmospheric correction using a MODTRAN4-based algorithm , 2000, SPIE Defense + Commercial Sensing.

[29]  T. Abiye,et al.  The relationship between lineaments and borehole yield in North West Province, South Africa: results from geophysical studies , 2012, Hydrogeology Journal.

[30]  Arun K. Saraf,et al.  Integrated remote sensing and GIS for groundwater exploration and identification of artificial recharge sites , 1998 .

[31]  F. Martínez-Moreno,et al.  Water prospection in volcanic islands by Time Domain Electromagnetic (TDEM) surveying: The case study of the islands of Fogo and Santo Antão in Cape Verde , 2016 .

[32]  Chadi Abdallah,et al.  Use of remote sensing and GIS to determine recharge potential zones: the case of Occidental Lebanon , 2006 .

[33]  J. Cherry,et al.  The Depth of Fractures and Active Ground‐Water Flow in a Clayey Till Plain in Southwestern Ontario , 1991 .

[34]  Andrew V. Wolfsberg,et al.  Rock Fractures and Fluid Flow: Contemporary Understanding and Applications , 1997 .

[35]  K. Árnason Central loop transient electromagnetic soundings over a horizontally layered earth , 1989 .

[36]  Fathy Abdalla Mapping of groundwater prospective zones using remote sensing and GIS techniques: A case study from the Central Eastern Desert, Egypt , 2012 .

[37]  K. Koike,et al.  Construction and analysis of interpreted fracture planes through combination of satellite-image derived lineaments and digital elevation model data , 1998 .

[38]  J. Roy,et al.  Groundwater potential modelling in a soft rock area using a GIS , 2000 .

[39]  P. Sander,et al.  Lineaments in groundwater exploration: a review of applications and limitations , 2007 .

[40]  Richard Gloaguen,et al.  Derivation of groundwater flow-paths based on semi-automatic extraction of lineaments from remote sensing data , 2011 .

[41]  P. J. Chilton,et al.  Hydrogeological Characterisation And Water-Supply Potential Of Basement Aquifers In Tropical Africa , 1995 .

[42]  J. Ketzer,et al.  Permian-Early Triassic tectonics and stratigraphy of the Karoo Supergroup in northwestern Mozambique , 2017 .

[43]  David Riaño,et al.  Assessment of different topographic corrections in Landsat-TM data for mapping vegetation types (2003) , 2003, IEEE Trans. Geosci. Remote. Sens..

[44]  P. Teillet,et al.  On the Slope-Aspect Correction of Multispectral Scanner Data , 1982 .

[45]  E. P. Wright The hydrogeology of crystalline basement aquifers in Africa , 1992, Geological Society, London, Special Publications.

[46]  G. Rondeaux,et al.  Optimization of soil-adjusted vegetation indices , 1996 .