Abstract
The streamflow flow is a fundamental component in the hydrological change cycle, and the variation in the streamflow would be an indication of natural hydrological disasters. Thus, accurate quantification of streamflow variation becomes a core concern in water resources engineering. The study focused on an attempt to investigate and quantify the factors influencing the streamflow conditions and decompose their effects on three large rivers. Initially, the Pettit test was employed to investigate breakpoints in conjunction with the climate elasticity approach and decomposition framework to quantify and decompose the effects of climate and anthropogenic activities. The abrupt breakpoints in streamflow and precipitation data were detected in 1997 and 1995. The time series into two periods: baseline period and the post-baseline period. Climate elasticity approaches were used to quantify the effect of climate and anthropogenic activities in the baseline period, post-baseline period, and future periods P1 (2031-2060) and P2 (2071-2100) under RCP 4.5 and RCP 8.5 scenarios. Results reveal that climate change was the leading cause of alteration in the streamflow in Buk Han River and Nam Han River accounting for 76.52% to 80.51% of total change in streamflow, respectively, meanwhile, Han River Lower basins remain more sensitive to anthropogenic activities which contribute 56.42% of the total variation of streamflow. Future climate change also shows an increase in precipitation and temperature in both scenarios, especially during a far-future period (2071-2100). These findings would play a very important role in future planning for the large river basin to reduce the risk of hydrological hazards.
Presenters
Sabab Ali ShahAssistant Professor, Civil and Environmental Engineering, Aror University of Art, Architecture, Design and Heritage Sindh, Pakistan
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
Human Impacts and Responsibility
KEYWORDS
Climate Change, Anthropogenic Activities, Hydrological modeling, Hydrological Hazards, Streamflow
