Longitudinal and temporal assemblage patterns of benthic macroinvertebrates in snow melt stream waters of the Jhelum River Basin of Kashmir Himalaya (India)

Ecohydrology ◽  
2020 ◽  
Vol 13 (7) ◽  
Author(s):  
Inam Sabha ◽  
Shabir A. Khanday ◽  
Sheikh Tajamul Islam ◽  
Sami Ullah Bhat
Author(s):  
Saira Munawar ◽  
Muhammad Naveed Tahir ◽  
Muhammad Hassan Ali Baig

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.


2017 ◽  
Vol 8 (3) ◽  
pp. 423-440 ◽  
Author(s):  
Rashid Mahmood ◽  
Shaofeng Jia

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.


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