Snowmelt and runoff assessment of Talas River Basin using remote sensing approach
(2014) In Student thesis series INES NGEM01 20141Dept 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)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/4333089
- author
- Javid, Hammad
- supervisor
- organization
- course
- NGEM01 20141
- year
- 2014
- 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}}, 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}}, }