A study of runoff and water quality changes under the influence of
different climate and land use ------ Taking the Yongding River Basin as
an example
Abstract
Global warming has caused changes in the spatial and temporal
distribution of water resources and affected the water environment. Land
use change is mainly influenced by human activities, which is also one
of the reasons for the water environment problems have become
increasingly serious. The Yongding River basin is important water
connotation area and ecological barrier in Beijing-Tianjin-Hebei region
in China. The basin has been affected by human activities and climate
change, there are problems such as significant reduction in runoff and
serious water pollution. To study the effects of climate change and land
use on runoff and water quality, this paper simulates runoff and water
quality by the Hydrological Simulation Program FORTRAN(HSPF) model, then
studied the changes of runoff and water quality under different land use
and climate scenarios. The results show that: the HSPF model has good
applicability in the Yongding River basin, the Relative Error (Re) of
runoff and water quality simulation is within 10%, the Nash Coefficient
(NSE) and Correlation Coefficient (R) are above 0.6. The simulation
results of different land use scenarios show that the expansion of
construction land has a facilitating effect on runoff and also leads to
the increase of pollutant concentrations in river; forest and grassland
inhibit the generation of runoff, while having a purifying effect on
water quality. The simulation results of different climate scenarios
show that the rainfall rising has a positive effect on runoff generation
and water quality improvement and the temperature rising has a negative
effect on runoff generation and water quality improvement. At the same
time, the “evaporation paradox” also affects the runoff change. In the
integrated scenario, simulation results show that the land use and
climate change influence the changes in runoff and water quality, but
the influence mechanism is not a simple superposition.