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In this study, a detailed investigation of the urbanization impacts on runoff regimes is provided by using multiple runoff metrics and with consideration of landuse dynamics.
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Changes in some of these runoff metrics began at very low urban land use (<4%).
Moreover, multivariate statistical approach is adopted to mine the spatial variations of runoff metrics so as to further identify critical impact factors of landuse changes.
The most dramatic landuse changes occur in the middle and downstream regions; (2) The combined landuse changes do not alter the average flow metrics obviously at the catchment outlet, but slightly increase the high flow metrics, particularly the extreme high flows; (3) The impacts on runoff metrics in the sub-catchments are more obvious than those at the catchment outlet.
If you self-track multiple different metrics about yourself, chances are you're using a different device or app to track each one.
However, since quality metrics interact with each other, a change in the architecture can affect unpredictably multiple quality metrics.
This study provides a new sampling approach to improve multiple metrics uncertainty analysis under the framework of GLUE, and could be used to reveal the underlying mechanisms of parameter sets under multiple conflicting metrics in the uncertainty analysis process.
The models were validated using data from the remaining trees and compared using multiple performance metrics.
This work expands spatial ILC to include optimization of multiple performance metrics.
Scheduling, in many application domains, involves optimization of multiple performance metrics.
Multiple CR metrics are aggregated into a single figure-of-merit for quantification of performance.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com