scholarly journals Correction and Informed Regionalization of Precipitation Data in a High Mountainous Region (Upper Indus Basin) and Its Effect on SWAT-Modelled Discharge

2018 ◽  
Author(s):  
Asim Jahangir Khan ◽  
Manfred Koch
Keyword(s):  
Knowledge Base ◽  
Spatial Scale ◽  
Indus Basin ◽  
Precipitation Series ◽  
Precipitation Data ◽  
Mountainous Region ◽  
New Approach ◽  
Orographic Effect ◽  
Upper Indus Basin

The current study applied a new approach for the interpolation and regionalization of observed precipitation series to a smaller spatial scale (0.125° by 0.125° grid) across the Upper Indus Basin (UIB), with appropriate adjustments for the orographic effect and changes in glacier storage. The approach is evaluated and validated through reverse hydrology, guided by observed flows and available knowledge base. More specifically, the generated corrected precipitation data is validated by means of SWAT-modelled responses of the observed flows to the different input precipitation series (original and corrected ones). The results show that the SWAT- simulated flows using the corrected, regionalized precipitation series as input are much more in line with the observed flows than those using the uncorrected observed precipitation input for which significant underestimations are obtained.

scholarly journals Correction and Informed Regionalization of Precipitation Data in a High Mountainous Region (Upper Indus Basin) and Its Effect on SWAT-Modelled Discharge

Water ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1557 ◽  
Author(s):  
Asim Khan ◽  
Manfred Koch
Keyword(s):  
Knowledge Base ◽  
Spatial Scale ◽  
Indus Basin ◽  
Precipitation Series ◽  
Precipitation Data ◽  
Mountainous Region ◽  
New Approach ◽  
Orographic Effect ◽  
Upper Indus Basin

The current study applied a new approach for the interpolation and regionalization of observed precipitation series to a smaller spatial scale (0.125° by 0.125° grid) across the Upper Indus Basin (UIB), with appropriate adjustments for the orographic effect and changes in glacier storage. The approach is evaluated and validated through reverse hydrology, and is guided by observed flows and the available knowledge base. More specifically, the generated corrected precipitation data is validated by means of SWAT-modelled responses of the observed flows to the different input precipitation series (original and corrected ones). The results show that the SWAT-simulated flows using the corrected, regionalized precipitation series as input are much more in line with the observed flows than those using the uncorrected observed precipitation input for which significant underestimations are obtained.

Rainfall forecasting in upper Indus basin using various artificial intelligence techniques

2021 ◽  
Author(s):  
Muhammad Hammad ◽  
Muhammad Shoaib ◽  
Hamza Salahudin ◽  
Muhammad Azhar Inam Baig ◽  
Mudasser Muneer Khan ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Indus Basin ◽  
Rainfall Forecasting ◽  
Artificial Intelligence Techniques ◽  
Upper Indus Basin

Hydrograph apportionment of the Chandra River draining from a semi-arid region of the Upper Indus Basin, western Himalaya

2021 ◽  
Vol 780 ◽  
pp. 146500
Author(s):  
Ajit T. Singh ◽  
C.M. Laluraj ◽  
Parmanand Sharma ◽  
B.L. Redkar ◽  
Lavkush Kumar Patel ◽  
...  
Keyword(s):  
Arid Region ◽  
Western Himalaya ◽  
Indus Basin ◽  
Upper Indus Basin ◽  
Semi Arid Region ◽  
Semi Arid

Quanitification of sustainable hydropower potential in the Upper Indus basin

2021 ◽  
Author(s):  
Sanita Dhaubanjar ◽  
Arthur F. Lutz ◽  
David Gernaat ◽  
Santosh Nepal ◽  
Saurav Pradhananga ◽  
...  
Keyword(s):  
Indus Basin ◽  
Hydropower Development ◽  
The Sustainable Development ◽  
Upper Indus Basin ◽  
Water Demands ◽  
Management Objectives ◽  
Hydropower Potential ◽  
Economic Preferences ◽  
Context Specific ◽  
Diverse Context

<p>Considering the lack of a comprehensive assessement of hydropower potential in the Upper Indus basin, we developed and implemented a systematic framework to explore four different classes of hydropower potential. Our framework uses high-resolution discharge generated by a coupled cryosphere-hydrology model as the bio-physical boundary conditions to estimate theoretical potential. Thereafter, diverse context-specific constraints are implemented stepwise to estimate the technical, economic and sustainable hydropower potential. The successive classes of hydropower potential integrate considerations for various water demands under the water-energy-food nexus, multiple geo-hazard risks, climate change, environmental protection, and socio-economic preferences. We demonstrate that the nearly two thousand Terawatt-hour of theoretical potential available annualy in the upper Indus can be misleading because a majority of this is technically and economically not viable. Even smaller potential remains if we account for the various sustainability constraints that vary spatially. Our concept of the sustainable hydropower potential enables decision makers to look beyond the energy sector when selecting hydropower projects for development to achieveenergy security under the Sustainable Development Goal 7 (SDG7).The generated portfolio of sustainable hydropower projects is superior to the current portfolio based on outdated studies because our method looks beyond theoretical possibilities and excludes projects that conflict with management objectives under other SDGs. The spatial maps with potential and the cost curves for hydropower production provide a science-based knowledge base for hydropower development in the Indus basin. Our method could similarly be adapted to inform hydropower development in other basins across the globe.</p>

scholarly journals Promoting Science-Based Diplomacy in the Upper Indus Basin through a Research Network

2020 ◽  
Vol 101 (7) ◽  
pp. E1142-E1147
Author(s):  
Debabrat Sukla ◽  
A. P. Dimri ◽  
Arun Bhakta Shrestha ◽  
F. A. Shaheen
Keyword(s):  
Indus Basin ◽  
Research Network ◽  
Upper Indus Basin

scholarly journals Geospatial Analysis and Simulation of Glacial Lake Outburst Flood Hazard in Hunza and Shyok Basins of Upper Indus Basin

2020 ◽  
Author(s):  
Syed Naseem Abbas Gilany ◽  
Javed Iqbal ◽  
Ejaz Hussain
Keyword(s):  
Flood Hazard ◽  
Indus Basin ◽  
Glacial Lake ◽  
Glacial Lakes ◽  
Digital Repository ◽  
Adaptation Measures ◽  
High Discharge ◽  
Upper Indus Basin ◽  
Study Results ◽  
The Impact

Abstract. The UIB (Upper Indus Basin) is prone to GLOFs (Glacial Lake Outburst Floods). Physical monitoring of such a large area on regular basis is a challenging task especially when the temporal and spatial extent of the hazard is highly variable. The purpose of this study was to map the potentially dangerous glacial lakes and simulate the associated hazard in the downward settlements using HEC-RAS in the GIS environment using Landsat 7 remote sensing data. The study was conducted in Hunza and Shyok sub-basins of UIB where there are several human settlements which are endangered due to the GLOF hazard. Sudden breaches in the unstable moraine dams adjoining receding glaciers may occur because of rapid and huge accumulation of turbulent water in the glacial lakes. The ASTER DEM (Digital Elevation Model) is utilized to detect flow accumulation of glacial hazard involving slope, elevation, and orientation of the mountain glaciers. The study results revealed that settlements of Hunza and Shyok basins are threatened by the GLOFs hazard. Keeping in view the seasonal growth of the potentially dangerous glacial lakes of Hunza basin, a low discharge of 3500 m3/s from potentially dangerous glacial lake can affect 40 %, whereas, a moderate discharge of 5000 m3/s can affect 60% and a high discharge of 7000 m3/s can affect 80 % of the Shimshal village habitat. In Shyok basin, a low discharge of 100 m3/s from both lakes can affect 20 %, whereas, a moderate discharge of 300 m3/s can affect 30 % and a high discharge of 500 m3/s can affect 40 % of the Barah village habitat. The results of the study can provide a platform for the establishment of an early warning and monitoring system to minimize the impact of future GLOFs. Accurate and comprehensive knowledge of potentially dangerous GLOFs is of utmost importance for risk management. A digital repository of GLOFs can enhance the ability to inform policy makers on the vulnerability, risk mitigation and action/adaptation measures.

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