Trend analysis of reference evapotranspiration and identification of responsible factors in the Jhelum River Basin, Western Himalayas

Author(s):  
Syed Mohsin ◽  
M. A. Lone
2021 ◽  
Author(s):  
Sheikh umar ◽  
M A Lone ◽  
N K Goel ◽  
Mohammad Zakwan

Abstract The Jhelum River basin drains the entire Kashmir valley and is susceptible to floods, surrounded Himalayan Mountain range. The trend analysis of Hydro-meteorological data is crucial for planning and management of various activities (agriculture, design of hydraulic structures) in the basin. The purpose of the present study is to analyze the trends in the annual maximum and annual average discharge, annual maximum, and annual average rainfall for the Jhelum River basin. The trend analysis was performed by using Mann-Kendall (M-K), Sen’s slope, and innovative trend analysis (ITA) at various Hydro-meteorological stations. The outcomes of trend analysis using the ITA test showed non-monotonic trends at various stations for different time series data and bring forth more significant data to analyze changes in Hydro-meteorological data. Moreover, the overall trend shows a significant decreasing trend in annual average rainfall and discharge, while annual maximum rainfall and discharge revealed a significant increasing trend via ITA. The trend analysis depicts changes in Hydro-meteorological data which would be useful for future management of water resources. Moreover, changes in the discharges in the Jhelum River are due to climatic change and anthropogenic activities in the basin.


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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