Textural characteristics of sediments and weathering in the Jhelum river basin located in Kashmir Valley, Western Himalaya

2015 ◽  
Vol 86 (4) ◽  
pp. 445-458 ◽  
Author(s):  
Riyaz Ahmad Mir ◽  
Gh Jeelani
Keyword(s):  
River Basin ◽  
Western Himalaya ◽  
Kashmir Valley ◽  
Textural Characteristics ◽  
Jhelum River ◽  
Jhelum River Basin

Response of streamflow to climate variability in the source region of Jhelum River Basin in Kashmir valley, India

2020 ◽  
Vol 104 (1) ◽  
pp. 611-637
Author(s):  
Mifta ul Shafiq ◽  
Ifra Ashraf ◽  
Zahoor ul Islam ◽  
Pervez Ahmed ◽  
A. P. Dimri
Keyword(s):  
Climate Variability ◽  
River Basin ◽  
Source Region ◽  
Kashmir Valley ◽  
Jhelum River ◽  
Jhelum River Basin

scholarly journals Future climate change impacts on runoff of scarcely gauged Jhelum river basin using SDSM and RCPs

2021 ◽  
Author(s):  
Saira Munawar ◽  
Muhammad Naveed Tahir ◽  
Muhammad Hassan Ali Baig
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Climate Change Impacts ◽  
Baseline Period ◽  
Future Climate Change ◽  
Mean Annual Precipitation ◽  
Climatic Data ◽  
Global Issue ◽  
Jhelum River ◽  
Jhelum River Basin

Abstract Climate change is a global issue and causes great uncertainties in runoff and streamflow projections, especially in high-altitude basins. The quantification of climatic indicators remains a tedious job for the scarcely gauged mountainous basin. This study investigated climate change by incorporating GCM (CCSM4) using the SDSM method for RCPs in the Jhelum river basin. Historical climatic data were coupled with Aphrodite data to cope with the scarcity of weather stations. SDSM was calibrated for the period 1976–2005 and validated for the period 2006–2015 using R2 and RMSE. Future climatic indicators were downscaled and debiased using the MB-BC method. The de-biased downscaled data and MODIS data were used to simulate discharge of Jhelum river basin using SRM. Simulated discharge was compared with measured discharge by using Dv% and NSE. The R2 and RMSE for SDSM range between 0.89–0.95 and 0.8–1.02 for temperature and 0.86–0.96 and 0.57–1.02 for precipitation. Projections depicted a rising trend of 1.5 °C to 3.8 °C in temperature, 2–7% in mean annual precipitation and 3.3–7.4% in discharge for 2100 as compared to the baseline period. Results depicted an increasing trend for climatic indicators and discharge due to climate change for the basin.

scholarly journals Spatial and temporal hydro-climatic trends in the transboundary Jhelum River basin

2017 ◽  
Vol 8 (3) ◽  
pp. 423-440 ◽  
Author(s):  
Rashid Mahmood ◽  
Shaofeng Jia
Keyword(s):  
River Basin ◽  
Stream Flow ◽  
Land Use Changes ◽  
Maximum Temperature ◽  
Regression Methods ◽  
Climatic Trends ◽  
Jhelum River ◽  
Increasing Trends ◽  
Jhelum River Basin ◽  
Operation And Management

The present study examined the hydro-meteorological trends and their magnitudes using the Mann–Kendall, Sen's slope, and linear regression methods in the Jhelum River basin. Maximum and minimum temperatures showed increasing trends in the basin. However, the increasing trends of maximum temperature in all seasons as well as in annual datasets were stronger and statistically more significant than minimum temperature. Precipitation showed non-significant increasing and decreasing trends spread evenly throughout the basin. However, decreasing trends dominated in the basin, except in winter, with an average annual decrease of 3.3 mm. In case of streamflow, seasonal and annual decreasing trends dominated in the basin. Summer showed stronger and significant decreasing trends at most of the hydrometric stations in the basin. An annual decrease of 8 mm was observed at Azad Pattan. These decreasing trends are most probably due to decreasing trends in precipitation and increasing trends in temperature, though other factors such as land use changes, industrialization, and urbanization can also affect the changes in streamflow. These decreasing trends in precipitation and stream flow can have some serious implications in the reduction of water availability to the Mangla reservoir, thus producing many challenges for efficient reservoir operation and management.

scholarly journals Assessment of Advanced Artificial Intelligence Techniques for Streamflow Forecasting in Jhelum River Basin

2021 ◽  
Vol 34 (3) ◽  
Author(s):  
Muhammad Waqas ◽  
Muhammad Shoaib ◽  
Muhammad Saifullah ◽  
Adila Naseem ◽  
Sarfraz Hashim ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
River Basin ◽  
Streamflow Forecasting ◽  
Artificial Intelligence Techniques ◽  
Jhelum River ◽  
Jhelum River Basin
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