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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "https://jats.nlm.nih.gov/publishing/1.3/JATS-journalpublishing1-3.dtd">
<article article-type="research-article" dtd-version="1.3" xml:lang="en">
  <front xmlns:xlink="http://www.w3.org/1999/xlink">
    <journal-meta>
      <journal-id journal-id-type="elibrary">75504</journal-id>
      <journal-title-group>
        <journal-title>Magazine of Civil Engineering</journal-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Magazine of Civil Engineering</trans-title>
        </trans-title-group>
      </journal-title-group>
      <issn pub-type="epub">2712-8172</issn>
    </journal-meta>
    <article-meta xmlns:xlink="http://www.w3.org/1999/xlink">
      <article-id pub-id-type="publisher-id">8</article-id>
      <article-id pub-id-type="doi">10.5862/MCE.39.8</article-id>
      <title-group>
        <article-title>Geoinformation methods of identifying locations for prospective HPP</article-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Геоинформационные методы поиска перспективных створов для строительства ГЭС</trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Ivanov</surname>
            <given-names>Timofey</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
          <email>ivanovts@vniig.ru</email>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Badenko</surname>
            <given-names>Nikolay</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
          <email>badenkonv@vniig.ru</email>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Oleshko</surname>
            <given-names>Vyacheslav</given-names>
          </name>
          <xref ref-type="aff" rid="aff2"/>
          <email>vyacheslavoleshko@gmail.com</email>
        </contrib>
      </contrib-group>
      <aff id="aff1">“B.E. Vedeneev VNIIG” JSC</aff>
      <aff id="aff2">JSC “B.E. Vedeneev VNIIG”</aff>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2013-06-23">
        <day>23</day>
        <month>06</month>
        <year>2013</year>
      </pub-date>
      <issue>4</issue>
      <issue-id pub-id-type="publisher-id">39</issue-id>
      <fpage>70</fpage>
      <lpage>82</lpage>
      <self-uri xmlns:xlink="http://www.w3.org/1999/xlink" content-type="pdf" xlink:href="https://engstroy.spbstu.ru/userfiles/files/2013/4(39)/08.pdf"/>
      <abstract xml:lang="en">
        <p>Currently large-scale studies of water-power potential of minor and mean rivers are being conducted to identify location of prospective hydropower plants and estimate their manufacture and economic efficiency. Because of tight schedule, large study area and large number of criteria involved in choosing prospective hydropower plants, it is necessary to use modern methods and technologies to solve the problem. This paper reviews the methodology that allows performing multi-criteria analysis to find locations on plain rivers suitable for hydropower development. All estimations were performed using geographic information systems (GIS). Traditional way to find location for prospective hydropower plants consists in comparing several variants of location for hydropower development and several marks of normal pond level. Unlike traditional method, developed methodology and GIS-based tools allow analyzing large number of locations and considerably automating calculations.</p>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>geographic information systems (GIS)</kwd>
        <kwd>multi-criteria analysis</kwd>
        <kwd>hydropower plant (HPP)</kwd>
        <kwd>prospective HPP</kwd>
        <kwd>decision-making</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
