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  <titleInfo>
    <title>Characteristics of monthly and daily rainfall sequences in Northeast Thailand</title>
  </titleInfo>
  <name type="personal">
    <namePart>Somkiat Warakittimalee</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Huynh, Ngoc Phien</namePart>
    <role>
      <roleTerm type="text">Chairperson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Selvalingam, Selvadore</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Tawatchai Tingsanchali</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>The Royal Danish Government</namePart>
    <role>
      <roleTerm type="text">Scholarship Donor</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">th</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Bangkok</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>1980</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
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    <extent>v, 142 p.</extent>
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  <abstract>Characteristics of rainfall sequences in Northeast, Thailand were investigated. These include some typical descriptors of monthly rainfall, the distribution of monthly rainfall the distribution of rainfall amounts in wet season, the distribution of maximum daily rainfall and the distribution of the length of wet and dry spells. Finally a stochastic model based on a first-order Markov chain was developed to simulate daily rainfall sequences. The model used historical rainfall data to estimate the Markov transition probabilities. A separate matrix is estimated for each month of the year. In this research, 8 x 8 transitional probability matrices were used. The class widths of the states were represented by a geometric progression. The distribution of rainfall amount in each state was assumed t o be uniform except the last state, for  which a shifted exponential distribution was used. Calibration and performance  of the model was tested by comparing some statistical parameters of the generated  data and the historical ones. </abstract>
  <note>A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Engineering and Technology</note>
  <note>Thesis (M.Eng.) - Asian Institute of Technology, 1980</note>
  <subject authority="lcsh">
    <topic>Rain and rainfall</topic>
    <topic>Thailand, Northeastern</topic>
    <topic>Statistics</topic>
  </subject>
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    <titleInfo>
      <title>Thesis ; no. WA-79-2</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=B22146</identifier>
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    <url displayLabel="Full-Text">http://203.159.5.9/ait-thesis/detail.php?q=B22146</url>
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    <recordCreationDate encoding="marc">120598</recordCreationDate>
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