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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Using GIS Techniques and Quantitative Morphometric Analysis to Evaluate the Groundwater Resources in the Central Flinders Ranges, South Australia</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Alaa A. Ismail</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Ian Clark</string-name>
          <email>ian.clark@unisa.edu.au</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Centre for Water Management and Reuse, School of Natural and Built Environments,</institution>
          ,
          <addr-line>A.I.</addr-line>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>GIS, Quantitative Morphometric Analysis</institution>
          ,
          <addr-line>Groundwater</addr-line>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Proc. of the 3</institution>
        </aff>
      </contrib-group>
      <abstract>
        <p>SUMMARY The quantitative analysis of a drainage system is essential in understanding the hydrological behavior of the catchment. The present study was carried out in a drainage basin (Oratunga basin) in the Central Flinders Ranges, South Australia. GIS techniques were used to assess critical morphometric characteristics of the dendritic to sub-dendritic drainage pattern. The analysis has shown that the total number and length of stream segments decreases from first order to fifth order streams. The bifurcation ratio (Rb) between different successive orders varies and the shape parameters indicate the elongated shape of the basin. The compilation of the different parameters reveals that the groundwater is mainly controlled by geomorphology, slope, geology, and drainage density. Based on these factors groundwater potential of the basin was classified into good, moderate and low zones. The study reveals that quantitative analysis based on GIS techniques and available data is a useful tool for geohydrological studies. Future research will focus broaden the study area in the Flinders Ranges and similar semi-arid areas.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>
        INTRODUCTION
Groundwater in Australia amounts to around 33% of the estimated total water use. This increased by
60% during the period from 1983-1997 as a result of the population increase and the uptake of
groundwater use in place of surface water which had become limited and more strongly regulated
across the country [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ]. Groundwater is essential for sustaining life, performing basic functions in
ecosystems and represents an important input into the Australian economy, particularly agriculture
and tourism. It is often the only water source for many areas like the Flinders Ranges, it is necessary
for sustaining stream flows as an alternative source during droughts [
        <xref ref-type="bibr" rid="ref1 ref2">1, 2</xref>
        ]. The demand for water
made the assessment and utilization of water resources most critical. There is an urgent necessity for
the evaluation of water resources. In the Flinders Ranges of South Australia groundwater is the main
source of water and plays a significant role in occupation and human settlement (Figure 1). Wells are
located mainly in fractured bedrock in an area where evaporation is high and recharge erratic [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ].
Although the geology and stratigraphy of the host bedrock have been studied in some detail [
        <xref ref-type="bibr" rid="ref4 ref5">4, 5</xref>
        ]
there is little about the water resources documented in the scientific literature.
      </p>
      <p>
        To effectively evaluate the water resources, the factors which control the water evolution and
occurrences need to be better linked and understood. In the present study it is supposed that the
geomorphic setting influences the groundwater regime. Studying the geomorphic setting is essential in
understanding the hydrogeology of the watershed. The characterization of geomorphic features
enables understanding of the relationship among different aspects of the basin’s drainage pattern and
also enables a comparative evaluation of different drainage basins developed in various geologic and
climatic regimes [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]. A study of the geomorphic setting, particularly in areas of limited data like the
Oratunga Area in the Central Flinders Ranges provides important understanding for the sustainable
management of groundwater resources.
      </p>
      <p>
        The remote sensing and GIS based drainage basin analysis has been used as an effective tools for a
multi-criteria decision analysis and the hydrogeological evaluation [
        <xref ref-type="bibr" rid="ref6 ref7">6, 7</xref>
        ]. The increased resolution of
satellite imagery creates a large impact on water resource management. Thus, the digital elevation
models (DEMs), such as ASTER GDEM (Global Digital Elevation Model) were used to extract the
geomorphological parameters of drainage basins [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ]. Also, Shuttle Radar Topographic Mission
(SRTM) data has been used to provide a precise, fast, and an inexpensive study of the hydrological
systems [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ].
      </p>
      <p>
        The morphometric parameters of a watershed could be useful in selecting the recharge sites of the
groundwater, watershed modeling, runoff modeling, watershed delineation and groundwater prospect
mapping [
        <xref ref-type="bibr" rid="ref10 ref11">10, 11</xref>
        ]. A quantitative morphometric characterization is considered to be the most
acceptable method for good watershed management. The hydrological analysis and morphometric
evaluation of the Oratunga watershed were done using GIS software and DEM analysis. The study
aimed to explore the different morphometric parameters to develop a better understanding of the
recharge potential of the study area.
      </p>
    </sec>
    <sec id="sec-2">
      <title>STUDY AREA</title>
      <p>
        The study area includes about 341 km2 in the Central Flinders Ranges, South Australia (Fig. 1).
Geographically it lies between 30° 54' 30" and 31° 8' 30" S latitude and 138° 29' 30" and 138° 43' 30"
E longitude. The climate of the Flinders Ranges is semi-arid [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ]. The area covers the northern sector
of the Central Flinders Ranges. It is located about 79 km southwest of Leigh Creek and 210 km north
east of Port Augusta. The boundaries of the study area coincide with the topographic boundaries of the
watershed (Figure 1).
      </p>
    </sec>
    <sec id="sec-3">
      <title>MATERIALS AND METHODS</title>
      <p>The Shuttle Radar Topographic Mission (SRTM) data was downloaded as GeoTiff tiles (Geospatial
Tagged Image File Format) in geographic coordinates WGS84 datum from the CGIAR-CSI
(Consultative Group of International Agricultural Research–Consortium for Spatial Information).
Only tiles falling within South Australia were selected. All the GeoTiff files were imported into
ERDAS imagine and converted into a single file. Then, reprojecting the SRTM from its original
geographic coordinate system to a new projected one, thus the horizontal and vertical units should be
in meters. Clipping the study area was done using subset tool in ERDAS and hence can be used in
ArcGIS for the morphometric analysis. The ArcGIS hydrology toolset of Spatial Analyst was used to
generate the stream networks from SRTM. The Hydrology Tools require filling of any elevation holes
in DEM; this could be done from the elevation of the surrounding pixels. To facilitate the use and
analysis of these networks, these rasters were converted into shapefiles. The morphometric parameters
for the present study are done from the SRTM of 90 m resolution data and ArcGIS 10.1.
Assessment of watershed using quantitative morphometric analysis can give information about the
hydrological nature of the exposed rocks. The quantitative description of drainage networks and basin
characteristics has been carried out for the Oratunga Area. The quantitative analysis of morphometric
parameters is found to be important in basin evaluation, water conservation and natural resources
management. Factors like drainage characteristics could plays a role in the distribution of runoff,
indicate sites for water infiltration and control the water flow, while rock type could direct the flow
and storage management.</p>
      <p>The drainage pattern reflects the structural and lithologic controls of the underlying rocks. For the
study area, the drainage patterns are dendritic to sub-dendritic which is most common in the Flinders
Ranges (Figure 2). It is generally characterized by a treelike branching system indicating homogenous
and uniform underlying rock types. The details of various morphometric parameters used in the
present study are discussed below.
The stream order has been determined using the method proposed by Strahler (1964). The study
area is a five order drainage basin with a total number of 449 streams (Figure 2), of which 228
(50.8%) are first order streams, 121 (26.9%) are second order, 39 (8.7%) are third order, 53 (11.8%)
are of fourth order and 8 (1.8%) are fifth order. The high number of streams in the study area reflects
the role of erosional and weathering processes. A negative correlation between the stream orders and
stream numbers indicates low permeability and infiltration (Figure 2).</p>
      <p>Stream length is a significant hydrological parameter as it reveals surface runoff characteristics and
hence recharge potential. The total length of stream segments is generally high for the first order
streams and decreases as the stream order increases (Figure 3). The total length of streams is 553 km
and ranges from 284.7 for the first order to 17 km for the fifth order (Table 1). Longer streams are
common in steep slopes and shorter streams are dominant in areas of low slopes.</p>
      <p>
        The bifurcation ratio introduced to define the ratio of the number of stream order (u) to that of the
next highest order (u+1); Rb=Nu/Nu+1. It is a measure of elongation, relief and dissection [
        <xref ref-type="bibr" rid="ref13">13</xref>
        ]. The
Bifurcation Ratio is a main parameter to evaluate and describe the hydrological regime of a watershed
[
        <xref ref-type="bibr" rid="ref14">14</xref>
        ]. The bifurcation ratio will not be exactly same from one order to the next order because of the
changes in the geometry and lithology along the drainage basin. The bifurcation ratio of the study area
ranges from 0.9 to 3.4 for the different orders (Table 1). The low Rb value suggests structural
disturbance for second and fourth order areas and therefore low potentials for discharge compare to
those with high bifurcation ratio [
        <xref ref-type="bibr" rid="ref15">15</xref>
        ]. In addition, the high mean bifurcation ratio for the whole area
indicates an elongated shape. The elongation of the study area could provide prolonged surface runoff,
allowing higher infiltration and recharge of the shallow aquifer.
0 1 2 3 4 5 6
      </p>
      <p>Stream order</p>
      <p>Figure 3. Geometric relationship between stream order and stream number.
Form factor is defined as the ratio of the basin area (A) to the squared value of the basin length (L).
The value of the form factor for circular shape would always be less than 0.7, higher values indicate
less elongation of the drainage basin while lower values reflect elongation of the studied basin. The
computed Form Factor for the present case is 0.38 which indicates a moderately elongated basin. The
shape of the basin can also control peak flows and their duration. A basin with a low Form Factor will
have fewer but longer duration peak flows (Table 1). In the present study, the low Form Factor value
suggests that more flatter peak flow of longer duration.</p>
      <p>
        Elongation ratio (Re) is the ratio of diameter of a circle of the same area as the basin to the maximum
basin length [
        <xref ref-type="bibr" rid="ref16">16</xref>
        ]. Elongation ratio can be classified as circular (0.9 - 1), oval (0.8 - 0.9), less
elongated (0.7 - 0.8), elongated (0.5 - 0.7), more elongated (&lt;0.5). Areas of high elongation ratio
values are more prone to high infiltration capacity and low runoff. It generally varies from 0.6 to 1.0
over a wide variety of geologic types. The Re of this area is 0.6 which indicates elongation and more
subject to erosion with relatively less infiltration capacity (Table 1).
The drainage density (D) is defined as the length of the streams per unit area. It provides a
quantitative measure of the average length of streams in the whole basin. The drainage density of the
whole study area is 1.6 m/km2. In general, low drainage density is more likely to occur in high
permeable areas of dense vegetation and low relief while high drainage density occurs in less
permeable areas with less vegetation and high relief [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ]. Accordingly, the high drainage areas indicate
a low infiltration rate whereas the low density areas are favorable with a high infiltration rate [
        <xref ref-type="bibr" rid="ref17">17</xref>
        ].
The spatial drainage density map was prepared for the Oratunga Area (Figure 4), areas of low
drainage density are good to facilitate recharge, and areas with high density facilitate less infiltration
and recharge.
      </p>
      <p>Basin slope (Sb) is an important parameter in geomorphic studies. The slope is controlled by the
climate processes in the area having the rock of varying resistance. It enables the assessment of runoff
generation and direction. The general slope of the basin decreases towards south-southwest. For a
slope analysis, topographic slope within the Oratunga Area was classified as low to steep slope. The
slope values varies from low (&lt;5o), moderate (&lt;15o) and high (&lt;45o). The slope varies from one
geomorphic unit to another with steep slopes in the mountainous areas, moderate to steep slopes in the
hilly areas and gentle to moderate slope in the valley bottoms (Figure 5).</p>
      <p>
        DISCUSSION
Geomorphological features have a direct effect on the hydrogeological setting of the area, whereas
physiographic elements like relief and slope show the amount of runoff and infiltration, slope and
drainage density of the basin plays a significant role in increasing the water flow velocity with a
reduction in recharge [
        <xref ref-type="bibr" rid="ref18">18</xref>
        ]. For the Oratunga basin, the drainage pattern is dendritic with a high
number of streams; varied lengths and relatively high bifurcation ratio indicates an extended runoff
and high chance for recharge. The shape of the basin is another factor that affects the peak and
duration of flow. Parameters such as Form factor and Elongation ratio are essential factors to describe
and understand the shape of the basin. In the present study, the Form factor is relatively low reflecting
elongated shape with a low peak flow and longer duration. As well, the values of the Elongation ratio
are relatively high. Consequently, the high values describe a moderately high relief and the structural
control of the basin. The drainage density is another key controller of the groundwater regime. It has
inverse relation to permeability. The lower the permeability the lower the infiltration of rainfall, which
conversely tends to be more concentrated in surface runoff. This gives rise to a fine drainage system.
Since the drainage density can indirectly indicate the groundwater recharge of an area because of its
relation with surface runoff and permeability, it was considered as one of the indicators of
groundwater potential. Density is influenced by many factors such as weathering, permeability of
rocks, climate, and vegetation. The Low drainage density value is dominant in areas that are underlain
by less eroded, permeable and low topography while high value is associated with areas of weathered,
impermeable subsurface material and less vegetation and high relief [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ]. In the study area, the results
indicate that the effective groundwater recharge potential zone is located on marginal areas of the
study area. In this region, the low drainage density over higher relief and fractured areas has more
infiltration ability.
CONCLUSION
A quantitative analysis supported by GIS mapping techniques is a useful tool in the assessment of
hydrogeological system with distinctive morphological and geologic features. In this study, different
indices were applied in order to carry out a multi-criterion analysis intended to produce an evaluation
of water resources. The drainage network is dendritic indicating homogeneity in texture and structural
controls. The dendritic structure of the basin would also help to explain various hydrogeological
parameters like the infiltration capacity, groundwater recharge, and runoff and soil erosion. The
morphometric analysis results show that the basin has an elongated shape with significant influence of
geological structures, low peak flow and long duration of runoff. Also, a moderate drainage density
indicates a moderate permeability rate. This study shows that a watershed analysis using Shuttle Radar
Topographic Mission (SRTM) and GIS is an efficient and convenient tool for determining the
different geomorphic parameters such as the infiltration capacity and runoff. The results can be used
in understanding the groundwater potential for watershed management. It can also be used for
building a suitability model for water conservation structures. Consequently, integrating these
parameters with other hydrological attributes such as geology, standing water level and structural
features in the GIS domain facilitates decisions about suitable sites for water conservation structures
(recharge shaft or dams) for groundwater development and management.
ACKNOWLEDGMENTS
This research work has been accomplished under research grants provided by Natural Resources SA
Arid Lands, the Goyder Institute for Water Research and the Egyptian Government for the Ph.D study
entitled “Hydrogeology of the Oratunga Area, Central Flinders Ranges, South Australia”. The authors
express their sincere thanks to the funding agency for the financial assistance. We are deeply grateful
to the support of Dr. Sharolyn Anderson at University of South Australia for valuable discussion
during this work. The authors also express their sincere thanks to anonymous reviewers whose
valuable comments have improved the quality of this paper
      </p>
      <p>Proc. of the 3rd Annual Conference of Research@Locate 64</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          [1] Harrington and Cook,
          <string-name>
            <surname>P.</surname>
          </string-name>
          <article-title>Groundwater in Australia, National Centre for Groundwater Research</article-title>
          and Training, Australia.
          <year>2014</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          [2]
          <string-name>
            <given-names>ABS</given-names>
            <surname>Year Book of Australia</surname>
          </string-name>
          ,
          <year>2012</year>
          . Australian Bureau of Statistics, Canberra, Australia,
          <year>2012</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          [3]
          <string-name>
            <surname>Clark</surname>
            ,
            <given-names>I.</given-names>
          </string-name>
          and
          <string-name>
            <surname>Brake</surname>
            ,
            <given-names>L.</given-names>
          </string-name>
          <article-title>Using local knowledge to improve understanding of groundwater supplies in parts of arid South Australia</article-title>
          .
          <source>GeoJournal</source>
          ,
          <volume>74</volume>
          ,
          <issue>5</issue>
          (
          <year>2009</year>
          ),
          <fpage>441</fpage>
          -
          <lpage>450</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          [4]
          <string-name>
            <surname>Backé</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Baines</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Giles</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Preiss</surname>
            ,
            <given-names>W.</given-names>
          </string-name>
          and
          <string-name>
            <surname>Alesci</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          <article-title>Basin geometry and salt diapirs in the Flinders Ranges, South Australia: insights gained from geologically-constrained modelling of potential field data</article-title>
          .
          <source>Marine and Petroleum Geology</source>
          ,
          <volume>27</volume>
          ,
          <issue>3</issue>
          (
          <year>2010</year>
          ),
          <fpage>650</fpage>
          -
          <lpage>665</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          [5]
          <string-name>
            <surname>Preiss</surname>
            ,
            <given-names>W.</given-names>
          </string-name>
          <article-title>The Adelaide Geosyncline of South Australia and its significance in Neoproterozoic continental reconstruction</article-title>
          .
          <source>Precambrian Research</source>
          ,
          <volume>100</volume>
          ,
          <issue>1</issue>
          (
          <year>2000</year>
          ),
          <fpage>21</fpage>
          -
          <lpage>63</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          [6]
          <string-name>
            <surname>Jha</surname>
            ,
            <given-names>M. K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Chowdary</surname>
            ,
            <given-names>V.</given-names>
          </string-name>
          and
          <string-name>
            <surname>Chowdhury</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          <article-title>Groundwater assessment in Salboni Block, West Bengal (India) using remote sensing, geographical information system and multi-criteria decision analysis techniques</article-title>
          .
          <source>Hydrogeology Journal</source>
          ,
          <volume>18</volume>
          ,
          <issue>7</issue>
          (
          <year>2010</year>
          ),
          <fpage>1713</fpage>
          -
          <lpage>1728</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          [7]
          <string-name>
            <surname>Yousif</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>van Geldern</surname>
          </string-name>
          ,
          <string-name>
            <given-names>R.</given-names>
            and
            <surname>Bubenzer</surname>
          </string-name>
          ,
          <string-name>
            <surname>O.</surname>
          </string-name>
          <article-title>Hydrogeological investigation of shallow aquifers in an arid data-scarce coastal region (El Daba'a, northwestern Egypt)</article-title>
          .
          <source>Hydrogeology Journal</source>
          (
          <year>2015</year>
          ),
          <fpage>1</fpage>
          -
          <lpage>21</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          [8]
          <string-name>
            <surname>Tarboton</surname>
            ,
            <given-names>D. G.</given-names>
          </string-name>
          <article-title>A new method for the determination of flow directions and upslope areas in grid digital elevation models</article-title>
          .
          <source>Water resources research</source>
          ,
          <volume>33</volume>
          ,
          <issue>2</issue>
          (
          <year>1997</year>
          ),
          <fpage>309</fpage>
          -
          <lpage>319</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          [9]
          <string-name>
            <surname>Grohmann</surname>
            ,
            <given-names>C. H.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Riccomini</surname>
            ,
            <given-names>C.</given-names>
          </string-name>
          and
          <string-name>
            <surname>Alves</surname>
            ,
            <given-names>F. M.</given-names>
          </string-name>
          <article-title>SRTM-based morphotectonic analysis of the Poços de Caldas Alkaline Massif, southeastern Brazil</article-title>
          .
          <source>Computers &amp; Geosciences</source>
          ,
          <volume>33</volume>
          ,
          <issue>1</issue>
          (
          <year>2007</year>
          ),
          <fpage>10</fpage>
          -
          <lpage>19</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          [10]
          <string-name>
            <surname>Magesh</surname>
            ,
            <given-names>N.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Chandrasekar</surname>
            ,
            <given-names>N.</given-names>
          </string-name>
          and
          <string-name>
            <surname>Soundranayagam</surname>
            ,
            <given-names>J. P.</given-names>
          </string-name>
          <article-title>Delineation of groundwater potential zones in Theni district, Tamil Nadu, using remote sensing, GIS and MIF techniques</article-title>
          .
          <source>Geoscience Frontiers</source>
          ,
          <volume>3</volume>
          ,
          <issue>2</issue>
          (
          <year>2012</year>
          ),
          <fpage>189</fpage>
          -
          <lpage>196</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref11">
        <mixed-citation>
          [11]
          <string-name>
            <surname>Markose</surname>
            ,
            <given-names>V. J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Dinesh</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          and
          <string-name>
            <surname>Jayappa</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          <article-title>Quantitative analysis of morphometric parameters of Kali River basin, southern India, using bearing azimuth and drainage (bAd) calculator</article-title>
          and GIS. Environmental Earth Sciences (
          <year>2014</year>
          ),
          <fpage>1</fpage>
          -
          <lpage>17</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref12">
        <mixed-citation>
          [12]
          <string-name>
            <surname>Schwerdtfeger</surname>
            ,
            <given-names>P.</given-names>
          </string-name>
          <article-title>Climate of the Flinders ranges</article-title>
          ,
          <year>1996</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref13">
        <mixed-citation>
          [13]
          <string-name>
            <surname>Horton</surname>
            ,
            <given-names>R. E.</given-names>
          </string-name>
          <article-title>Erosional development of streams and their drainage basins; hydrophysical approach to quantitative morphology</article-title>
          .
          <source>Geological Society of America Bulletin</source>
          ,
          <volume>56</volume>
          ,
          <issue>3</issue>
          (
          <year>1945</year>
          ),
          <fpage>275</fpage>
          -
          <lpage>370</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref14">
        <mixed-citation>
          [14]
          <string-name>
            <surname>Nag</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          and
          <string-name>
            <surname>Ghosh</surname>
            ,
            <given-names>P.</given-names>
          </string-name>
          <article-title>Delineation of groundwater potential zone in Chhatna Block, Bankura District, West Bengal, India using remote sensing and GIS techniques</article-title>
          .
          <source>Environmental earth sciences, 70</source>
          ,
          <issue>5</issue>
          (
          <year>2013</year>
          ),
          <fpage>2115</fpage>
          -
          <lpage>2127</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref15">
        <mixed-citation>
          [15]
          <string-name>
            <surname>Sreedevi</surname>
            ,
            <given-names>P.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Subrahmanyam</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          and
          <string-name>
            <surname>Ahmed</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          <article-title>The significance of morphometric analysis for obtaining groundwater potential zones in a structurally controlled terrain</article-title>
          .
          <source>Environmental Geology</source>
          ,
          <volume>47</volume>
          ,
          <issue>3</issue>
          (
          <year>2005</year>
          ),
          <fpage>412</fpage>
          -
          <lpage>420</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref16">
        <mixed-citation>
          [16]
          <string-name>
            <surname>Schumm</surname>
            ,
            <given-names>S. A.</given-names>
          </string-name>
          <article-title>Evolution of drainage systems and slopes in badlands at Perth Amboy, New Jersey</article-title>
          .
          <source>Geological Society of America Bulletin</source>
          ,
          <volume>67</volume>
          ,
          <issue>5</issue>
          (
          <year>1956</year>
          ),
          <fpage>597</fpage>
          -
          <lpage>646</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref17">
        <mixed-citation>
          [17]
          <string-name>
            <surname>Bagyaraj</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ramkumar</surname>
            ,
            <given-names>T.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Venkatramanan</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          and
          <string-name>
            <surname>Gurugnanam</surname>
            ,
            <given-names>B.</given-names>
          </string-name>
          <article-title>Application of remote sensing and GIS analysis for identifying groundwater potential zone in parts of Kodaikanal Taluk, South India</article-title>
          .
          <source>Frontiers of Earth Science</source>
          ,
          <volume>7</volume>
          ,
          <issue>1</issue>
          (
          <year>2013</year>
          ),
          <fpage>65</fpage>
          -
          <lpage>75</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref18">
        <mixed-citation>
          [18]
          <string-name>
            <given-names>Al</given-names>
            <surname>Saud</surname>
          </string-name>
          ,
          <string-name>
            <surname>M.</surname>
          </string-name>
          <article-title>Mapping potential areas for groundwater storage in Wadi Aurnah Basin, western Arabian Peninsula, using remote sensing and geographic information system techniques</article-title>
          .
          <source>Hydrogeology journal</source>
          ,
          <volume>18</volume>
          ,
          <issue>6</issue>
          (
          <year>2010</year>
          ),
          <fpage>1481</fpage>
          -
          <lpage>1495</lpage>
          .
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>