SUMMARY OF PAPER 7483. BARRAGES OF THE RIVER INDUS BASIN PROJECT.

1972 ◽  
Vol 51 (2) ◽  
pp. 364
Author(s):  
PF WILSON ◽  
AR WILKINSON ◽  
O ANDRONOV
Keyword(s):  
Indus Basin ◽  
River Indus

scholarly journals Spatial and temporal variations in precipitation in the Upper Indus Basin, global teleconnections and hydrological implications

2004 ◽  
Vol 8 (1) ◽  
pp. 47-61 ◽  
Author(s):  
D.R. Archer ◽  
H.J. Fowler
Keyword(s):  
Climatic Variability ◽  
Regional Scale ◽  
Rural Livelihoods ◽  
Temporal Variations ◽  
Winter Precipitation ◽  
Indus Basin ◽  
Strong Positive Correlation ◽  
Positive Correlation ◽  
Upper Indus Basin ◽  
River Indus

Abstract. Most of the flow in the River Indus from its upper mountain basin is derived from melting snow and glaciers. Climatic variability and change of both precipitation and energy inputs will, therefore, affect rural livelihoods at both a local and a regional scale through effects on summer runoff in the River Indus. Spatial variation in precipitation has been investigated by correlation and regression analysis of long-period records. There is a strong positive correlation between winter precipitation at stations over the entire region, so that, for practical forecasting of summer runoff in some basins, a single valley-floor precipitation station can be used In contrast, spatial relationships in seasonal precipitation are weaker in summer and sometimes significantly negative between stations north and south of the Himalayan divide. Although analysis of long datasets of precipitation from 1895 shows no significant trend, from 1961–1999 there are statistically significant increases in winter, in summer and in the annual precipitation at several stations. Preliminary analysis has identified a significant positive correlation between the winter North Atlantic Oscillation (NAO) and winter precipitation in the Karakoram and a negative correlation between NAO and summer rainfall at some stations. Keywords: upper Indus basin, climate change, time series analysis, spatial correlation, teleconnections

Decentralization and Redistribution: Irrigation Reform in Pakistan's Indus Basin

2018 ◽  
Author(s):  
Hanan G. Jacoby ◽  
Ghazala Mansuri ◽  
Freeha Fatima
Keyword(s):  
Indus Basin

The Indus Basin of Pakistan

2013 ◽  
Author(s):  
Winston Yu ◽  
Yi-Chen Yang ◽  
Andre Savitsky ◽  
Donald Alford ◽  
Casey Brown ◽  
...  
Keyword(s):  
Indus Basin

Water Governance and Management in Indus Basin - Challenges & Threats

2020 ◽  
Vol 38 (3) ◽  
Author(s):  
Marium Sara Minhas Bandeali
Keyword(s):  
Water Management ◽  
Civil Society ◽  
Water Resources ◽  
Water Policy ◽  
Water Governance ◽  
Sustainable Use ◽  
Water Security ◽  
Sampling Technique ◽  
The State ◽  
Indus Basin

Water governance and management are important challenges for the River Indus Basin in Pakistan. Water governance refers to social, political and economic factors that influence water management. The water scarcity and water security are a major concern for the state to control its water resources. The study aims to give Sindh water policy by exploring the challenges to Indus Basin in managing water resources and to identify opportunities Indus Basin can look to improve water management. Interviews were conducted from water experts and analysts having 5 years’ experience or more in the water sector of Pakistan through a semi-structured self-developed questionnaire using purposive sampling technique and transcripts were analyzed using thematic content analysis. The findings show that increasing population, climatic change and rising demand of water are major challenges Indus is facing and Indus with time is getting water-scarce therefore need strong institutions, civil society and legislatures to ensure equitable distribution of water and maintain the ecosystem. The study emphasizes that water governance and management are necessary for sustainable use of water. Pakistan, the water stress country needs to address ‘governance’ at a wider scale to solve problems in the Indus Basin for the livelihood of people. The research will benefit the state, water experts, institutions as well as civil society to promote efficient use of water in Indus Basin.

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

scholarly journals Temperature Projections over the Indus River Basin of Pakistan Using Statistical Downscaling

Atmosphere ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 195
Author(s):  
Muhammad Saleem Pomee ◽  
Elke Hertig
Keyword(s):  
21St Century ◽  
Statistical Downscaling ◽  
General Circulation ◽  
Winter Season ◽  
Circulation Model ◽  
Indus Basin ◽  
Indus River ◽  
Temperature Changes ◽  
Basin Scale ◽  
Maximum Heating

We assessed maximum (Tmax) and minimum (Tmin) temperatures over Pakistan’s Indus basin during the 21st century using statistical downscaling. A particular focus was given to spatiotemporal heterogeneity, reference and General Circulation Model (GCM) uncertainties, and statistical skills of regression models using an observational profile that could significantly be improved by recent high-altitude observatories. First, we characterized the basin into homogeneous climate regions using K-means clustering. Predictors from ERA-Interim reanalysis were then used to model observed temperatures skillfully and quantify reference and GCM uncertainties. Thermodynamical (dynamical) variables mainly governed reference (GCM) uncertainties. The GCM predictors under RCP4.5 and RCP8.5 scenarios were used as “new” predictors in statistical models to project ensemble temperature changes. Our analysis projected non-uniform warming but could not validate elevation-dependent warming (EDW) at the basin scale. We obtained more significant warming during the westerly-dominated seasons, with maximum heating during the winter season through Tmin changes. The most striking feature is a low-warming monsoon (with the possibility of no change to slight cooling) over the Upper Indus Basin (UIB). Therefore, the likelihood of continuing the anomalous UIB behavior during the primary melt season may not entirely be ruled out at the end of the 21st century under RCP8.5.

scholarly journals A time series assessment of terrestrial water storage and its relationship with hydro-meteorological factors in Gilgit-Baltistan region using GRACE observation and GLDAS-Noah model

2021 ◽  
Vol 3 (5) ◽  
Author(s):  
Dostdar Hussain ◽  
Aftab Ahmed Khan ◽  
Syed Najam Ul Hassan ◽  
Syed Ali Asad Naqvi ◽  
Akhtar Jamil
Keyword(s):  
Snow Water Equivalent ◽  
Gravity Data ◽  
Water Storage ◽  
Indus Basin ◽  
Flood Hazards ◽  
Terrestrial Water Storage ◽  
Satellite Gravity ◽  
Terrestrial Water ◽  
Gilgit Baltistan

AbstractMountains regions like Gilgit-Baltistan (GB) province of Pakistan are solely dependent on seasonal snow and glacier melt. In Indus basin which forms in GB, there is a need to manage water in a sustainable way for the livelihood and economic activities of the downstream population. It is important to monitor water resources that include glaciers, snow-covered area, lakes, etc., besides traditional hydrological (point-based measurements by using the gauging station) and remote sensing-based studies (traditional satellite-based observations provide terrestrial water storage (TWS) change within few centimeters from the earth’s surface); the TWS anomalies (TWSA) for the GB region are not investigated. In this study, the TWSA in GB region is considered for the period of 13 years (from January 2003 to December 2016). Gravity Recovery and Climate Experiment (GRACE) level 2 monthly data from three processing centers, namely Centre for Space Research (CSR), German Research Center for Geosciences (GFZ), and Jet Propulsion Laboratory (JPL), System Global Land Data Assimilation System (GLDAS)-driven Noah model, and in situ precipitation data from weather stations, were used for the study investigation. GRACE can help to forecast the possible trends of increasing or decreasing TWS with high accuracy as compared to the past studies, which do not use satellite gravity data. Our results indicate that TWS shows a decreasing trend estimated by GRACE (CSR, GFZ, and JPL) and GLDAS-Noah model, but the trend is not significant statistically. The annual amplitude of GLDAS-Noah is greater than GRACE signal. Mean monthly analysis of TWSA indicates that TWS reaches its maximum in April, while it reaches its minimum in October. Furthermore, Spearman’s rank correlation is determined between GRACE estimated TWS with precipitation, soil moisture (SM) and snow water equivalent (SWE). We also assess the factors, SM and SWE which are the most efficient parameters producing GRACE TWS signal in the study area. In future, our results with the support of more in situ data can be helpful for conservation of natural resources and to manage flood hazards, droughts, and water distribution for the mountain regions.

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