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In contrast, concentrations around May 1 increased very little at higher streamflows at a streamflow of 5000 m s 1 (approximately the 75th percentile for this time of year), concentrations only increased 5%, from about 1.8 to 1.9 mg/L.
In contrast, around May 1 and a streamflow of 35 000 m s 1 (approximately the 75th percentile for this time of year), concentrations decreased about 17%, from about 1.8 to 1.5 mg/L.
For example, around May 1 and at a streamflow of 2000 m s 1 (approximately the 25th percentile streamflow for this time of year), concentrations increased from about 1.0 to more than 2.5 mg/L.
Using MSSP-OUT as an example of the second case study, around May 1 and a streamflow of 20 000 m s 1 (approximately the 25th percentile for this time of year), concentrations increased 12%, from about 1.7 to 1.9 mg/L.
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Only 3 of 7 models included a streamflow variable; inclusion of prior-year conditions was common.
The effective coverage range of a streamflow station is determined based on the minimum density required and the site-specific terrain slope.
Comparison of river inflow to the lake from two simulations one with and the other without human activities suggests that human water management activities caused a reduction in streamflow of ∼1.74 km3/year from 1995 to 2010, which accounts for ∼86% of the total depletion in lake volume during the same period.
Figure 7 The future precipitation change scenarios (a), streamflow responses (b), and the precipitation elasticity of streamflow of the Wujiang River watershed (c) for the 2030s, 2050s and 2080s under IPCC A1B, B1 and A2 emission scenarios.
Figure 6 The future temperature change scenarios (a), streamflow responses (b), and the temperature elasticity of streamflow of the Wujiang River watershed (c) for the 2030s, 2050s and 2080s under IPCC A1B, B1 and A2 emission scenarios.
Based on the simulations of MISBA and SAC-SMA for UBNB, La Niña and Indian Ocean Dipole (IOD) tend to have a wetting effect while El Niño has a drying effect on the streamflow of the UBNB.
To determine how riparian gallery forest expansion affected streamflow, we classified a chronosequence of historical aerial photography covering a 78 km2 watershed equipped with a streamflow gauge.
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