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  <titleInfo>
    <title>Long range forecasting of Mekong River streamflow</title>
  </titleInfo>
  <name type="personal">
    <namePart>Mah, Youn Chin</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Radok, Rainer</namePart>
    <role>
      <roleTerm type="text">Chairperson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Huynh, Ngoc Phien</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Le Huu Ti</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>The Government of Australia</namePart>
    <role>
      <roleTerm type="text">Scholarship Donor</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">series</genre>
  <genre authority="marc">technical report</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">th</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Bangkok</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>1982</dateIssued>
    <issuance>continuing</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>49 p.</extent>
  </physicalDescription>
  <abstract>Daily river streamflows at one station (Vientiane) along the Mekong River are studied using a historical approach to obtain a long range flood forecast, with the objective of over-coming short-term hydrological uncertainty and the narrow limitations in time of process- based models. Only daily discharge data are used in the present approach . Sixty  years of data are considered as one continuous time series; a suitable linear filter is applied to separate short period variations due to rain storms from the main hydrograph . Cross-correlation coefficients between all years are computed and arranged in the upper triangle of a matrix. This matrix is then used to identify the groupings of years of closest correlation or 'fit' to each other. Given the first few months of a year, the group  which best fits a current flood season can be identified by used cross-correlation coefficients . It is proposed to use the average filtered hydrograph of that groups to forecast the future of the on-going season. Apart from the mean curve, the short period residues, filtered from the original curves, are analyzed statistically . The frequencies and return periods of these residue heights are used for short term forecasting.</abstract>
  <note>A special study submitted in partial fulfillment of the requirements for the degree of Master of Science, School of Engineering and Technology</note>
  <note>Special Studies Project Report (M. Sc.) - Asian Institute of Technology, 1982</note>
  <subject authority="lcsh">
    <topic>Hydrological forecasting</topic>
  </subject>
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    <titleInfo>
      <title>Special studies project report ; no. CA-82-13</title>
    </titleInfo>
    <name type="corporate">
      <namePart>Asian Institute of Technology.</namePart>
      <namePart/>
    </name>
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  <identifier type="uri">http://203.159.5.9/ait-thesis/detail.php?q=B21060</identifier>
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    <url displayLabel="Full-Text">http://203.159.5.9/ait-thesis/detail.php?q=B21060</url>
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    <recordCreationDate encoding="marc">121095</recordCreationDate>
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