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The paired catchment approach is used to detect the effects of land cover change on hydrology in the Yangjiagou and the contrast catchment, i.e., Dongzhuanggou catchment in our study.
This study is intended to highlight the sensitivity of geographical data as well as the data discretisation method used on the essential features of a periurban catchment, i.e. the catchment border and the drainage network.
Our results show that a structural discontinuity in the catchment (i.e. abrupt slope decrease at the junction between piedmonts and the alluvial plain from 2 to 10% to < 0.1%) could be compensated by functional continuity during floods.
The reductionist approach to concept-development simulation is fully demonstrated in the comprehensive InHM simulations for the data-rich Coos Bay experimental catchment (i.e., pore water pressure development related to slope instability).
'Censored data sets' were compiled for Upper Swift Creek and Swift Creek to include only bedload fluxes measured when there was no apparent scour or fill so that there were no changes in sand supply from the catchment (i.e. equilibrium conditions).
A vegetated but geomorphologically stable alpine catchment (i.e. ∼2000 m asl., no (peri glacial processes) combined with a deep-seated cave (the thickness of the vadose zone might have exceeded 1000 m) is required in order to reconcile the isotopic data with the pollen record and the petrographic evidence.
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Three catchments, i.e., the Luanhe River Basin, the Source Region of the Yellow River and the Ganjiang River Basin, representing a large climatic diversity were chosen as examples to illustrate this issue.
Our reservoir survey indicates that specific sediment yield (SSY) varies significantly between catchments: i.e. 487 t km−2 year−1 to 1817 t km−2 year−1 with an average of 1054 (± 446) t km−2 year−1.
A large majority of the catchments (i.e. 12 out of 16) exhibit consistent mode feature on multi-scale variability throughout three sub-periods (1952 1968, 1969 1984, and 1985–2000).
This study develops a method for estimating the average in-stream residence time of water in a river channel and across large catchments, i.e. the time between water entering a river and reaching a downstream monitoring point.
Three classes of model performance behaviour were found for the 240 test catchments: (i) significant improvement of performance with shorter time steps; (ii) performance insensitivity to the modelling time step; (iii) performance degradation as the time step becomes shorter.
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CEO of Professional Science Editing for Scientists @ prosciediting.com