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  <Article>
    <Journal>
      <PublisherName>ijesm</PublisherName>
      <JournalTitle>International Journal of Engineering, Science and</JournalTitle>
      <PISSN>I</PISSN>
      <EISSN>S</EISSN>
      <Volume-Issue>Volume 6, Issue 8,</Volume-Issue>
      <PartNumber/>
      <IssueTopic>Multidisciplinary</IssueTopic>
      <IssueLanguage>English</IssueLanguage>
      <Season>December 2017 (Special Issue)</Season>
      <SpecialIssue>N</SpecialIssue>
      <SupplementaryIssue>N</SupplementaryIssue>
      <IssueOA>Y</IssueOA>
      <PubDate>
        <Year>2017</Year>
        <Month>12</Month>
        <Day>24</Day>
      </PubDate>
      <ArticleType>Engineering, Science and Mathematics</ArticleType>
      <ArticleTitle>Rainfall Data Analysis for Estimation of Rainfall Erosivity Factor</ArticleTitle>
      <SubTitle/>
      <ArticleLanguage>English</ArticleLanguage>
      <ArticleOA>Y</ArticleOA>
      <FirstPage>323</FirstPage>
      <LastPage>328</LastPage>
      <AuthorList>
        <Author>
          <FirstName>Pranati Panda                                                          Dr.  M.L.Narasimham Mr. Prafulla Kumar</FirstName>
          <LastName>Panda</LastName>
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>N</CorrespondingAuthor>
          <ORCID/>
        </Author>
      </AuthorList>
      <DOI/>
      <Abstract>Soil erosion involves detachment and transport of soil particles from top soil layers, degrading soil quality and reducing the productivity of affected lands. The eroded soil, which ultimately accumulate on the river bed or on the bottom of reservoirs, cause inundation by decreasing the cross section area of river stream and the reduction of storage capacity of reservoirs. Soil erosion also leads to degradation of water quality. Exact estimation of the amount of soil erosion is the basic and essential step not only for the research of river morphology and water quality, but also for appropriate management of sediments and the watershed as well. Keeping this in view it is proposed to estimate the spatial distribution of soil erosion in Ram Sagar Catchment of Paralakhemundi block in Gajapati District and calculate the amount of soil erosion through a GIS based model. Revised Universal Soil Loss Equation (RUSLE) model has been considered to estimate the soil erosion. As per the Revised Universal Soil Loss Equation (RUSLE) model different climatic and physiographic parameters influence the amount of soil loss.  These factors are: Rainfall Erosivity Factor, Soil Erodibility Factor, Slope Length __ampersandsign Steepness Factor, Cover Management Factor and Conservation Practice Factor. The rainfall erosivity factor is most important factor that significantly affects the soil erosion. This factor depends on the daily rainfall pattern and the process of arriving at this factor involves a systematic analysis of the rainfall data. The present paper highlights the data analysis and the computational process followed at arriving the Rainfall Erosivity factor. The analysis has been carried out using three year rainfall data for the study area i.e. Ram Sagar Catchment of Paralakhemundi block in Gajapati District.</Abstract>
      <AbstractLanguage>English</AbstractLanguage>
      <Keywords>Daily rainfall; Rainfall Intensity; Rainfall Erosivity Factor; RUSLE model;</Keywords>
      <URLs>
        <Abstract>https://ijesm.co.in/ubijournal-v1copy/journals/abstract.php?article_id=4255&amp;title=Rainfall Data Analysis for Estimation of Rainfall Erosivity Factor</Abstract>
      </URLs>
      <References>
        <ReferencesarticleTitle>References</ReferencesarticleTitle>
        <ReferencesfirstPage>16</ReferencesfirstPage>
        <ReferenceslastPage>19</ReferenceslastPage>
        <References/>
      </References>
    </Journal>
  </Article>
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