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Sedimentation in the floodplains of the Mekong Delta,Vietnam Part II: deposition and erosion 
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下载免费PDF全文 Nguyen Nghia Hung José Miguel Delgado Andreas Güntner Bruno Merz András Bárdossy Heiko Apel 《水文研究》2014,28(7):3145-3160
Deposition and erosion play a key role in the determination of the sediment budget of a river basin, as well as for floodplain sedimentation. Floodplain sedimentation, in turn, is a relevant factor for the design of flood protection measures, productivity of agro‐ecosystems, and for ecological rehabilitation plans. In the Mekong Delta, erosion and deposition are important factors for geomorphological processes like the compensation of deltaic subsidence as well as for agricultural productivity. Floodplain deposition is also counteracting the increasing climate change induced hazard by sea level rise in the delta. Despite this importance, a sediment database of the Mekong Delta is lacking, and the knowledge about erosion and deposition processes is limited. In the Vietnamese part of the Delta, the annually flooded natural floodplains have been replaced by a dense system of channels, dikes, paddy fields, and aquaculture ponds, resulting in floodplain compartments protected by ring dikes. The agricultural productivity depends on the sediment and associated nutrient input to the floodplains by the annual floods. However, no quantitative information regarding their sediment trapping efficiency has been reported yet. The present study investigates deposition and erosion based on intensive field measurements in three consecutive years (2008, 2009, and 2010). Optical backscatter sensors are used in combination with sediment traps for interpreting deposition and erosion processes in different locations. In our study area, the mean calculated deposition rate is 6.86 kg/m2 (≈ 6 mm/year). The key parameters for calculating erosion and deposition are estimated, i.e. the critical bed shear stress for deposition and erosion and the surface constant erosion rate. The bulk of the floodplain sediment deposition is found to occur during the initial stage of floodplain inundation. This finding has direct implications on the operation of sluice gates in order to optimize sediment input and distribution in the floodplains. Copyright © 2013 John Wiley & Sons, Ltd. 相似文献
12.
A Probabilistic Modelling System for Assessing Flood Risks 总被引：4，自引：2，他引：4
In order to be economically viable, flood disaster mitigation should be based on a comprehensive assessment of the flood risk.
This requires the estimation of the flood hazard (i.e. runoff and associated probability) and the consequences of flooding
(i.e. property damage, damage to persons, etc.). Within the “German Research Network Natural Disasters” project, the working
group on “Flood Risk Analysis” investigated the complete flood disaster chain from the triggering event down to its various
consequences. The working group developed complex, spatially distributed models representing the relevant meteorological,
hydrological, hydraulic, geo-technical, and socio-economic processes. In order to assess flood risk these complex deterministic
models were complemented by a simple probabilistic model. The latter model consists of modules each representing one process
of the flood disaster chain. Each module is a simple parameterisation of the corresponding more complex model. This ensures
that the two approaches (simple probabilistic and complex deterministic) are compatible at all steps of the flood disaster
chain. The simple stochastic approach allows a large number of simulation runs in a Monte Carlo framework thus providing the
basis for a probabilistic risk assessment. Using the proposed model, the flood risk including an estimation of the flood damage
was quantified for an example area at the river Rhine. Additionally, the important influence of upstream levee breaches on
the flood risk at the lower reaches was assessed. The proposed model concept is useful for the integrated assessment of flood
risks in flood prone areas, for cost-benefit assessment and risk-based design of flood protection measures and as a decision
support tool for flood management. 相似文献
13.
Pu Yuanyuan Apel Derek B. Prusek Stanislaw Walentek Andrzej Cichy Tomasz 《Natural Hazards》2021,105(1):191-203
Exact knowledge for ground stress field guarantees the construction of various underground engineering projects as well as prediction of some geological hazards such as the rock burst. Limited by costs, field measurement for initial ground stresses can be only conducted on several measure points, which necessitates back-analysis for initial stresses from limited field measurement data. This paper employed a multioutput decision tree regressor (DTR) to model the relationship between initial ground stress field and its impact factor. A full-scale finite element model was built and computed to gain 400 training samples for DTR using a submodeling strategy. The results showed that correlation coefficient r between field measurement values and back-analysis values reached 0.92, which proved the success of DTR. A neural network was employed to store the global initial ground stress field. More than 600,000 node data extracted from the full-scale finite element model were used to train this neural network. After training, the stresses on any location can be investigated by inputting corresponding coordinates into this neural network.
相似文献14.
The short time scale (minutes) and azimuthal dependence of sound wave propagation in shallow water regions due to internal waves is examined. Results from the shallow water acoustics in random media (SWARM-95) experiment are presented that reflect these dependencies. Time-dependent internal waves are modeled using the dnoidal solution to the nonlinear internal wave equations, so that the effects of both temporal and spatial variability can be assessed. A full wave parabolic equation model is used to simulate broadband acoustic propagation. It is shown that the short term temporal variability and the azimuthal dependence of the sound field are strongly correlated to the internal wave field 相似文献
15.
A. Volz-Thomas J. Slemr S. Konrad Th. Schmitz E. C. Apel V. A. Mohnen 《Journal of Atmospheric Chemistry》2002,42(1):255-279
In the German Focus on Tropospheric Research (TFS) independent quality assurance procedures were implemented in order to obtain information on data quality and comparability of the different measurements made in the different field campaigns. This paper describes the results for measurements of hydrocarbons using in-situ gas chromatographictechniques and off line analysis of samples collected in canisters (analysed by two central laboratories CL-1 and CL-2) and samples collected on adsorption tubes. The QA-procedures included comparisons with synthetic standards (prepared by EN 45001 certified laboratories), absolute calibration with a diffusion source, and an instrument/methodology comparison in ambient air. Harmonisation of the ambient measurements was achieved with a complex mixture (NCAR/BERLIOZ) containing 70 commonly observed hydrocarbons at mixing ratios of 0.2 to 10 ppb (mole fraction) in nitrogen, which was calibrated by referencing to hydrocarbon standards of the National Institute for Standards and Technology (NIST).For the certified synthetic standards, the experienced groups agreed to within ± 20% for most compounds. Much larger discrepancies were observed for the new Airmotec HC2010 instruments due to problems with identification, co-elution and blanks/memory effects. The results in ambient air were similar: Reasonable agreement was found for the results from the experienced groups with well characterised in situ instruments andfor the charcoal tubes, whereas larger discrepancies were observed for the results from new groups and instruments. For the latter, only selected compounds met the data quality objectives (DQO). The canister samples analysed by CL-2 were in good agreement with the reference instrument, whereas large deviations were found for a number of compounds in the analysis of the same canisters by CL-1. The results of the comparison provided the final basis for flagging and harmonising the data from all participants prior to their submission to the TFS central data bank. 相似文献
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Due to the complex mechanisms of rockburst, there is no current effective method to reliably predict these events. A statistical learning method, support vector machine (SVM), is employed in this paper for kimberlite burst prediction. Four indicators \(\sigma_{\theta } ,\sigma_{c} ,\sigma_{t} ,W_{\text{ET}}\) are chosen as input indices for the SVM, which is trained using 108 groups of rockburst cases from around the world. Data uniformization is used to avoid negative impact of differing dimensions across the original data. Parameter optimization is embedded in the training process of the SVM to achieve optimized predictive ability. After training and optimization, the SVM reaches an accuracy of 95% in rock burst prediction for validation samples. The constructed SVM is then employed in kimberlite burst liability evaluation. The model indicated a moderate burst risk, which matches observed instances of rockburst at a diamond mine in north Canada. The SVM method ignores the focus on rockburst mechanisms, instead relying on representative indicators to develop a predictive model through self-learning. The prediction results show an excellent accuracy, which means this method has a potential application in rockburst prediction. 相似文献