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Snowmelt and runoff assessment of Talas River Basin using remote sensing approach

Javid, Hammad (2014) In Student thesis series INES NGEM01 20141
Dept of Physical Geography and Ecosystem Science
Abstract
Transboundary river basins provide inhabitance and water resources to millions of people around the globe and they are a source of dispute among neighbor countries also. This thesis focuses on the snow melt and runoff modeling of a small transboundary river, Talas; using a physically distributed rainfall-runoff model, TOPKAPI-ETH. Investigation on the use of remotely sensed precipitation estimates and MODIS snow cover images shows that they can be a key to model snowmelt and water resources of remote and un-gauged catchments. However the need of observed precipitation data from different regions and elevation zones of the basin is vital in generating the runoff with higher accuracy. Annual runoff prediction strategies from snow cover area... (More)
Transboundary river basins provide inhabitance and water resources to millions of people around the globe and they are a source of dispute among neighbor countries also. This thesis focuses on the snow melt and runoff modeling of a small transboundary river, Talas; using a physically distributed rainfall-runoff model, TOPKAPI-ETH. Investigation on the use of remotely sensed precipitation estimates and MODIS snow cover images shows that they can be a key to model snowmelt and water resources of remote and un-gauged catchments. However the need of observed precipitation data from different regions and elevation zones of the basin is vital in generating the runoff with higher accuracy. Annual runoff prediction strategies from snow cover area is also proposed which can be of great help in efficient management of water resources and hence in resolving conflict between the riparian countries, Kyrgyzstan and Kazakhstan. (Less)
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author
Javid, Hammad
supervisor
organization
course
NGEM01 20141
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Talas River, remotely sensed precipitation, TRMM, GPCC, MODIS, Chu-Talas River Basin, transboundary rivers, Central Asia, Physical Geography and Ecosystem Science
publication/series
Student thesis series INES
report number
295
language
English
additional info
External supervisors: Wolfgang Kinzelbach, Tobias Siegfried, Simone Fatichi, Haijing Wang from Swiss Federal Institute of Technology, Zurich, Switzerland
id
4333089
date added to LUP
2014-02-27 10:59:21
date last changed
2014-02-27 10:59:21
@misc{4333089,
  abstract     = {Transboundary river basins provide inhabitance and water resources to millions of people around the globe and they are a source of dispute among neighbor countries also. This thesis focuses on the snow melt and runoff modeling of a small transboundary river, Talas; using a physically distributed rainfall-runoff model, TOPKAPI-ETH. Investigation on the use of remotely sensed precipitation estimates and MODIS snow cover images shows that they can be a key to model snowmelt and water resources of remote and un-gauged catchments. However the need of observed precipitation data from different regions and elevation zones of the basin is vital in generating the runoff with higher accuracy. Annual runoff prediction strategies from snow cover area is also proposed which can be of great help in efficient management of water resources and hence in resolving conflict between the riparian countries, Kyrgyzstan and Kazakhstan.},
  author       = {Javid, Hammad},
  keyword      = {Talas River,remotely sensed precipitation,TRMM,GPCC,MODIS,Chu-Talas River Basin,transboundary rivers,Central Asia,Physical Geography and Ecosystem Science},
  language     = {eng},
  note         = {Student Paper},
  series       = {Student thesis series INES},
  title        = {Snowmelt and runoff assessment of Talas River Basin using remote sensing approach},
  year         = {2014},
}