<?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>Evaluation of streamflow prediction with considered the climate change impact at Sungai Kechau, Pahang</title>
  </titleInfo>
  <name type="personal">
    <namePart>Muhammad Aminur Rasyid Othman</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
    <role>
      <roleTerm type="text">author.</roleTerm>
    </role>
  </name>
  <typeOfResource manuscript="yes">text</typeOfResource>
  <genre authority="marc">abstract or summary</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">my</placeTerm>
    </place>
    <dateIssued encoding="marc">2018</dateIssued>
    <copyrightDate encoding="marc">2018</copyrightDate>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xi, 63 pages : illustrations (some color) ; 30 cm. + 1 CD-ROM</extent>
  </physicalDescription>
  <abstract>Streamflow nowadays becomes fluctuated due to climate change impact that causes various disasters that threaten the environment and it has been measured that a greater negative impacts on human society. General Circulation Models (GCM) stated that the increment of concentration of greenhouse gases will have significant implications for climate at regional scales. In this simulation which is “downscaling” techniques are used to describe as a decision support tool for local climate change impacts. Statistical Downscaling Model (SDSM) is beneficial the rapid development of multiple, low cost, single-site scenarios of daily weather variables and future regional climate force. The application of SDSM is applied to simulate with respect to the generation of daily temperature and rainfall scenarios for Kechau River, Pahang for 2020-2099. However, in this studies is supported on the capability of IHACRES model in area where hydrological data has a limitation factor. The IHACRES model is being applied in a regionalization approach to develop streamflow prediction. Using IHACRES rainfall-runoff model, it is a non-linear loss module which is to calculate the effective rainfall and routing a linear module converting effective rainfall into streamflow.</abstract>
  <targetAudience authority="marctarget">specialized</targetAudience>
  <note type="statement of responsibility">Muhammad Aminur Rasyid Othman</note>
  <note>Faculty of Civil Engineering and Earth Resources</note>
  <note>Project Paper (Bachelors of Civil Engineering) -- Universiti Malaysia Pahang – 2018</note>
  <note>Includes bibliographical references</note>
  <subject authority="lcsh">
    <name type="corporate">
      <namePart>Faculty of Civil Engineering and Earth Resources</namePart>
    </name>
    <topic>Dissertations</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Universities and colleges</topic>
    <topic>Disertations</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Theses</topic>
  </subject>
  <identifier type="isbn">THE0000273(Local)</identifier>
  <recordInfo>
    <recordContentSource authority="marcorg">UMP</recordContentSource>
    <recordCreationDate encoding="marc">190418</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251117113405.0</recordChangeDate>
    <recordIdentifier source="KUKTEM">vtls000105614</recordIdentifier>
    <languageOfCataloging>
      <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
    </languageOfCataloging>
  </recordInfo>
</mods>
