<?xml version="1.0"?>
<records>
  <record>
    <language>eng</language>
    <publisher>Ansari Education and Research Society</publisher>
    <journalTitle>Journal of Ultra Scientist of Physical Sciences</journalTitle>
    <issn/>
    <eissn/>
    <publicationDate>April 2010</publicationDate>
    <volume>22</volume>
    <issue>1</issue>
    <startPage>137</startPage>
    <endPage>142</endPage>
    <doi>juc</doi>
    <publisherRecordId>908</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">Delineation of groundwater potential zones using remote sensing techniques in and around Raisen distirct, Madhya Pradesh, India</title>
    <authors>
      <author>
        <name>Shubha Bhargava</name>
        <affiliationId>1</affiliationId>
      </author>
      <author>
        <name>V.L. Punwatkar</name>
        <affiliationId>2</affiliationId>
      </author>
      <author>
        <name>H.U. Usmani</name>
        <affiliationId>3</affiliationId>
      </author>
    </authors>
    <affiliationsList>
      <affiliationName affiliationId="1">Maulana Azad National Institute of Technology, (MANIT) , Bhopal (INDIA)</affiliationName>
      <affiliationName affiliationId="2">Motilal Vigyan Mahavidhalaya, Bhopal (M.P.) INDIA</affiliationName>
      <affiliationName affiliationId="3">Govt. Maharaja Mahavidhalaya, Chhatarpur (M.P.) INDIA</affiliationName>
    </affiliationsList>
    <abstract language="eng">&lt;p style="text-align:justify"&gt;Water is the most important natural resource which forms the core of the ecological system. The advent of remote sensing has opened up new vistas in groundwater prospects evaluation. The study area is part of Raisen district which is part of Betwa river sub- basin. The groundwater prospects evaluation in Raisen has been attempted based on mapping of the area constituting geology, lineament, geomorphology using IRS-1C&lt;strong&gt; &lt;/strong&gt;LISS III&lt;strong&gt; &lt;/strong&gt;and LANDSAT data.&lt;strong&gt; &lt;/strong&gt;The integrated hydrogeomorphological map of the study area reveals that groundwater potential in delineated landforms such as infilled valleys and lineaments come under good to very good, shallow buried pediplaines and denudational hill come under moderate and structural hills, linear ridges and escarpments are under poor category. The present study shows that integration of all attributes provide more accurate result in groundwater potential zones identification.&lt;/p&gt;&#xD;
</abstract>
    <fullTextUrl format="html">https://ultraphysicalsciences.org/paper/908/</fullTextUrl>
    <keywords>
      <keyword language="eng">groundwater </keyword>
    </keywords>
    <keywords>
      <keyword language="eng">potential zones </keyword>
    </keywords>
    <keywords>
      <keyword language="eng">using remote</keyword>
    </keywords>
  </record>
</records>
