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Siltation

About: Siltation is a research topic. Over the lifetime, 1420 publications have been published within this topic receiving 20983 citations.


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Journal ArticleDOI
TL;DR: A decision-support framework for conservation agencies and aquatic resource managers to prioritize riparian restoration efforts based on observed records of Roanoke logperch, an imperiled sediment-sensitive species, and found riparian filtration capacity to be asignificant predictor of silt cover, while precipitation was a significant predictor of embeddedness.
Abstract: Human impact, particularly land cover changes (e.g., agriculture, construction) increase erosion and sediment loading into streams. Benthic species are negatively affected by silt deposition that coats and embeds stream substrate. Given that riparian buffers are effective sediment filters, riparian restoration is increasingly implemented by conservation groups to protect stream habitats. Limited funding and a multitude of impaired streams warrant the need for cost-effective prioritization of potential restoration actions. We created a decision-support framework for conservation agencies and aquatic resource managers to prioritize riparian restoration efforts. Our framework integrates GIS data and field surveys into a statistical model to predict instream silt from estimates of upland soil loss and riparian filtration capacity. We focus specifically on prioritizing sites in upper sections of the Roanoke and Nottoway river basins (Virginia, US) based on observed records of Roanoke logperch (Percina rex), an imperiled sediment-sensitive species. Our statistical approach examines soil characteristics, land cover, precipitation, topography, and annual soil loss estimates from the empirically derived Revised Universal Soil Loss Equation, combined with land cover-based riparian filtration capacity as potential stream habitat predictors. We found riparian filtration capacity to be a significant predictor of silt cover, while precipitation was a significant predictor of embeddedness. Spatial scale was also a factor, in that spatial variance in silt cover and embeddedness was more accurately predicted at smaller spatial extents. Ultimately, our model can be used as a prioritization tool for mitigating high siltation areas, or for protecting low soil erosion areas.

6 citations

Journal ArticleDOI
10 Jan 2022
TL;DR: Considering the influence of multiple factors on sediment transport, the validity of predicting sediment transport combined with wavelet transforms and neural network was analyzed in this paper , where rainfall and runoff cycles are extracted and decomposed into time series sub-signals by wavelet transform; then, the data post-processing is used as the neural network training set to predict the sediment model.
Abstract: The sedimentation problem is one of the critical issues affecting the long-term use of rivers, and the study of sediment variation in rivers is closely related to water resource, river ecosystem and estuarine delta siltation. Traditional research on sediment variation in rivers is mostly based on field measurements and experimental simulations, which requires a large amount of human and material resources, many influencing factors and other restrictions. With the development of computer technology, intelligent approaches have been applied to hydrological models to establish small information in river areas. In this paper, considering the influence of multiple factors on sediment transport, the validity of predicting sediment transport combined with wavelet transforms and neural network was analyzed. The rainfall and runoff cycles are extracted and decomposed into time series sub-signals by wavelet transforms; then, the data post-processing is used as the neural network training set to predict the sediment model. The results show that wavelet coupled neural network model effectively improves the accuracy of the predicted sediment model, which can provide a reference basis for river sediment prediction.

6 citations

Journal ArticleDOI
TL;DR: In this article, the authors used physical and 2D vertical mathematical models to investigate and distinguish the mechanism of siltation downstream of an underwater plain gate from that of other gates types.
Abstract: The Suzhou Creek Sluice is currently the largest underwater plain gate in the world, with a single span of 100 m. It is located in a tidal estuary at the junction of the Huangpu River and Suzhou Creek in Shanghai, China. In this study, physical and 2D vertical mathematical models were used to investigate and distinguish the mechanism of siltation downstream of an underwater plain gate from that of other gates types. According to quantitative data obtained by site investigation and the application of the physical hydrodynamic models, it was found that the characteristics of the tidal estuary as well as the fact that the sluice span is equal to the creek width are the major reasons contributing to siltation. A possible desiltation treatment system is proposed for the underwater plain gate. The system includes selection of a suitable location that allows the determination of a reasonable top elevation of the sluice floor, reserving sufficient space under the gate to accommodate siltation, setting up a mechanical desiltation system, and flushing silt along with overflow over the top of the gate. Furthermore, on-site hydraulic silt flushing experiments and a topography survey were conducted. These results showed that the measurement system is effective, and by maintaining this scheduled operation once a month, the downstream riverbed has been maintained in a good condition.

6 citations

Patent
06 Jan 2016
TL;DR: In this paper, a method for constructing and building arbor wave-eliminating forest belt on non-forestry river mouth sludge intertidal zone beach, wherein the method belongs to the technical field of agricultural cultivation.
Abstract: The invention discloses a method for constructing and building arbor wave-eliminating forest belt on non-forestry river mouth sludge intertidal zone beach, wherein the method belongs to the technical field of agricultural cultivation. The method comprises the following steps of A, manual ditching and fetching soil for manufacturing piers and lifting ground; B, planting arbor container seedlings; C, performing mechanical soil working and planting a mangrove forest; D, planting intersected arbors in a mangrove planting area; and E, performing ditch cleaning and supporting, thereby improving tree growth and beach siltation. The method of the invention has functions of realizing normal growth of arbor trees such as Casuarina equisetifolia on the wetland of the non-forestry river mouth sludge intertidal zone beach, improving survival rate of the protection forest, successively applying creation of wave-eliminating forest belt on the wetland of the non-forestry beach, facilitating restoring and reconstruction of the biological system on the wetland of the non-forestry beach, facilitating resistance for great natural disasters such as typhoon and flooding tide at coastal regions, and performing a positive function on economic development of Chinese sea.

6 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023122
2022214
202159
202072
201964
201871