2018
DOI: 10.1016/j.jhydrol.2018.02.051
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Toward improved design of check dam systems: A case study in the Loess Plateau, China

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Cited by 35 publications
(25 citation statements)
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“…The Chinese Loess Plateau is an area of about 650 thousand km 2 located in the middle and upper reaches of the Yellow River [1]. This region is well known for its severe soil erosion and high sediment yields from its most erosion-prone area of approximately 472 thousand km 2 , including 91.2 thousand km 2 with sediment yields exceeding 8000 t/km 2 /a [2].…”
Section: Introductionmentioning
confidence: 99%
“…The Chinese Loess Plateau is an area of about 650 thousand km 2 located in the middle and upper reaches of the Yellow River [1]. This region is well known for its severe soil erosion and high sediment yields from its most erosion-prone area of approximately 472 thousand km 2 , including 91.2 thousand km 2 with sediment yields exceeding 8000 t/km 2 /a [2].…”
Section: Introductionmentioning
confidence: 99%
“…The Nash-Sutcliffe coefficients of the calibration were 0.763 and 0.738 for river flow and sediment discharge, and those of the validation were 0.781 and 0.732, respectively (Figure 5). Compared to other modelling studies in this catchment (Ni et al, 2008;Pal et al, 2018), these results showed good performance of the InHM with the optimized parameter set in the Shejiagou catchment. This parameter set was then used in the scenario modelling runs.…”
Section: Calibration and Validationmentioning
confidence: 49%
“…There is normally no flow in the stream channels and gullies during inter-storm periods. The mean annual specified sediment yield was 12,800 t km À2 yr À1 based on records from 1959 to 1969 (2100 t km À2 yr À1 to 24,400 t km À2 yr À1 ) (Pal et al, 2018).…”
Section: Study Site and Data Setmentioning
confidence: 99%
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“…Previously, in the field of hydrologywater resources and hydraulic engineering, the methods for determining the reservoir characteristic curve were mostly reckoned based on the topographic survey data (Zhang et al 2019). But, in fact, there are many disadvantages in these methods, for example, small field of vision (NASA 1998;Ren et al 2021), heavy field surveying workload (Pal et al 2018;Cucchiaro et al 2019;Galicia et al 2019), and low accuracy (Bossler et al 2001;Sun et al 2021). With the development of remote sensing technology, resource satellite data are extensively used in correlative research of reservoirs and dams.…”
Section: Introductionmentioning
confidence: 99%