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  <titleInfo>
    <title>Quantifying uncertainties in climate projections on hydrologic modeling in the Tamakoshi River Basin, Nepal</title>
  </titleInfo>
  <name type="personal">
    <namePart>Aryal, Anil</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Shrestha, Sangam</namePart>
    <role>
      <roleTerm type="text">Chairperson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Babel, Mukand Singh</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Andrias, Sanyogita</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>WEM Sponsorship - Asian Institute of Technology Fellowship</namePart>
    <role>
      <roleTerm type="text">Scholars hip 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">Pathum Thani, Thailand</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>2016</dateIssued>
    <issuance>continuing</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>80 leaves : ill. (some col.) + 1 online resource</extent>
  </physicalDescription>
  <abstract>This research was carried out Tamakoshi River Basin, a sub - basin of the Koshi River Basin  in  the  NE  of  Nepal.  This  research  uses  multiple  climate  and  hydrological  model  so  as  to  simulate future climate and discharge in the basin outlet. Further, the simulated results were  analyzed  for  the  quantification  of  the  sources  of  uncertainty  in  simulating  future  climatic  variables and discharge at the outlet.  Climatic parameters temperature and precipitation of  the study area are  projected t o change in near ( 2010 - 2039), mid (2040 - 2069) and far (2070 - 2099) future.  Both  the  minimum  and  maximum  temperature  are  about  to  change  by  a  significant amount. The maximum temperature is about to rise upto 1.75 0 C under RCP4.5  and  upto  3.52 o C  under  RCP8.5  whereas  the  minimum  temperature  is  expected  to  rise  by  2.1 o C  under  RCP4.5  and  3.73 o C  under  RC P8.5  by  the  end  of  the  21st century.  The  precipitation in the study area is expected to change by  - 2.15% under RCP4.5 and by  - 2.44%  under RCP8.5 scenarios.  Both the minimum and maximum temperature  is expected to rise  in  each  three - time  window  namely  near  future,  mid  future  and  far  future  whereas  precipitation  is  supposed  to  decrease  in  each  time  window.  The  major  source  of  the  uncertainty for the climatic parameters being the climate model, the change in the climatic  parameters are ubiquitous. The discharge in the study  area were projected by  using two hydrological models namely  SWAT and HEC HMS. The projection of the discharge revels that the future discharge in  the  river  is  expected  to  variate  by  small  amount  when  SWAT  is  used  as  the  hydrological  model and decrease when HEC HMS used as the hydrological model. Under REMO climate  model the discharge in the river is expected to variate by large percentile.  While projecting  the future river flow both the climate models and hydrological model share large amount of  uncertainty  towards  the  total  uncertainty.  The  uncertainty  because  of  the  hydrological  models  are  more  pronounced  during  the  dry  days  whereas  the  uncertainty  due  to  climate  models  are  more  pronounced  during  the  wet  days .  Inter - comparison  of  the  impact  of  the  different climate models revels that the REMO climate model predicts higher uncertainty in  prediction of the precipitation and eventually the future discharge and maximum probable  flood. Thus  quantified  uncertainty  was  analyzed  and  some  graphical  methods  were  adopted  to  communicate  the  uncertainty  results  to  the  planners  a  developer.  Citing  the  flood  as  a  consequence (fitted using Gumbel method) of the  effect of the change  in climate,  the result  of the uncertainty was tried to communicate projecting the expected  flood under different  return period. The projection revels  that the climate model REMO has higher uncertainty in  flood projection.</abstract>
  <note>A thesis  submitted in partial fulfillment of the requirements for the  Degree of Master of Engineering in Water Engineering and Management</note>
  <note>Thesis (M. Eng.) - Asian Institute of Technology, 2016</note>
  <subject authority="lcsh">
    <topic>Hydrologic models</topic>
    <geographic>Nepal</geographic>
  </subject>
  <subject authority="lcsh">
    <topic>Climate</topic>
    <geographic>Nepal</geographic>
  </subject>
  <relatedItem type="series">
    <titleInfo>
      <title>Thesis ; no. WM-16-11</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=B04421 </identifier>
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    <url displayLabel="Full-Text">http://203.159.5.9/ait-thesis/detail.php?q=B04421 </url>
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  <recordInfo>
    <recordCreationDate encoding="marc">190318</recordCreationDate>
    <recordChangeDate encoding="iso8601">20260818175255.0</recordChangeDate>
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