<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <title>River water quality modeling under a stochastic environment</title>
  </titleInfo>
  <name type="personal">
    <namePart>Wichan Puangmaha</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Fujiwara, Okitsugu</namePart>
    <role>
      <roleTerm type="text">Chairpeson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Saeed, Khalid</namePart>
    <role>
      <roleTerm type="text">Examiantion Committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Hanaki, Keisuke</namePart>
    <role>
      <roleTerm type="text">Examiantion Committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>The Government of France</namePart>
  </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>1986</dateIssued>
    <issuance>continuing</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>53, C-16 p.</extent>
  </physicalDescription>
  <abstract>A stochastic programming model for river water quality  management has been developed. The proposed model recognizes  explicitly the stochastic phenomena of streamflow and wastewater  flowrates. Furthermore, the uncertainties present in physical and  chemical parameters (i.e., reaeration constant, time of flow ) in  a water body due to the stochastic flows are taken into account  by the model.  A chance cons trained programming technique is employed in  this study because of its advantage in the replacement of  probabilistic constraints with their deterministic equivalents. A  simulation model is used together with an optimization model in  order to characterize uncertain elements and to predict water  quality at any point in a river basin.  </abstract>
  <note>A research study report submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Engineering and Technology</note>
  <note>Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 1986</note>
  <subject authority="lcsh">
    <topic>Water quality management</topic>
    <topic>Mathematical models</topic>
  </subject>
  <relatedItem type="series">
    <titleInfo>
      <title>Research studies project report ; no. IE-86-20</title>
    </titleInfo>
    <name type="corporate">
      <namePart>Asian Institute of Technology.</namePart>
      <namePart/>
    </name>
  </relatedItem>
  <identifier type="uri">http://203.159.5.9/ait-thesis/detail.php?q=B19560</identifier>
  <location>
    <url displayLabel="Full-Text">http://203.159.5.9/ait-thesis/detail.php?q=B19560</url>
  </location>
  <recordInfo>
    <recordCreationDate encoding="marc">121095</recordCreationDate>
    <recordChangeDate encoding="iso8601">20260818212835.0</recordChangeDate>
  </recordInfo>
</mods>
