Abstract

Abstract. Quantity and quality of sediment deposition in complex floodplains are affected by many processes that are typically highly spatially and temporally variable and hard to quantify exactly. The main processes in this context are suspended sediment transport dynamics in rivers, floodplain channel interactions, and internal floodplain processes. In consequence, any point measurement of sedimentation in floodplains contains a high degree of uncertainty, both stemming from measurement errors and from the lack of representativeness for a larger area. However, up to now, uncertainty analyses have not been performed as part of publications on floodplain sedimentation data. Therefore the present work illustrates a field sampling strategy aiming at the monitoring of floodplain deposition and spatial variability on a large scale and at the quantification of uncertainties associated to sediment deposition data. The study was performed in the Mekong Delta, being an example for a large and complex floodplain with a high degree of anthropogenic disturbances. We present a procedure for the quantification of the uncertainty associated to the data, based on the design of the monitoring campaign, sampling procedures, and floodplain characteristics. Sediment traps were distributed strategically over the floodplain in clusters of three mat traps representing one monitoring point. The uncertainty originating from collection of the traps from still ponding water is quantified by lab experiments. The overall uncertainty of the deposition samples and the associated nutrient content is quantified in a Monte Carlo simulation and illustrated by uncertainty bounds. For the study area the results show a very high variability of the annual floodplain deposition (2.2–60 kg m−2) with uncertainty bounds ranging from −61 to +129% relative to overall mean deposition of 11.4 kg m−2. No correlations in the spatial distribution of sedimentation in the floodplains could be found. This is caused by the highly complex channel and dike system and the high number of hydraulic structures. Also, no differences in deposition between floodplain compartments protected with high and low dikes could be detected. However, it can be shown that within single floodplain compartments the spatial deposition variability depends on the dike levels and operation and location of hydraulic structures.

Highlights

  • Sediment deposition in floodplains of river deltas is controlled by sediment delivery from the upstream catchment, and by characteristics of the particular delta

  • This study presents a monitoring scheme aiming at the quantification of spatial variability of sediment and associated nutrient floodplain deposition in the MD, as well as a strategy to quantify the uncertainty of the sediment sampling scheme

  • The sediment masses 7 in the traps are determined by weighing after drying of the 8 rFeigmuroe v3:eTdhe sseadmimepnltetrsap ydeiseiglnd, isntregngtsheadndimbaleanncte tmest.aLsesfte: asfioxefd twrapeotnathnedgrodunrdy, 9 croiglhlt:ebcotwilo-snhapceotrnapdwihtieon npusll.edTuhp.e tests were performed with 32 different initial sediment masses equivalent to reported annu3a1l deposition masses of 0.07/21 kg m−2 yr−1, as referenced in Hung et al (2013b)

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Summary

Introduction

Sediment deposition in floodplains of river deltas is controlled by sediment delivery from the upstream catchment, and by characteristics of the particular delta. The question of increasing the number and length of the flood protection (high dikes) is under debate, because it enables cropping of a third crop per year during the flood period by blocking the floodplain inundation completely This reduces the input of sediment and natural fertilizers, requiring a higher input of artificial mineral fertilizers and other agro-chemicals. Considering the known errors in sediment deposition measurements, it becomes clear that (a) a representative monitoring of floodplain sedimentation for a large delta is a difficult task in general, and (b) there is a clear need for a thorough estimation of the uncertainties of sedimentation data. The results can serve as a quantitative basis for the discussion of the importance of floodplain deposition to counterbalance the subsidence of the delta

Study area and site selection
Sediment trap design
Sampling scheme
Figure 2
Figure 3
Deposition uncertainty
Monte Carlo analysis
Method
Monitoring results and basic descriptive statistics
Uncertainty analysis
Sedimentation and nutrient deposition rates
Spatial variability of sedimentation
Conclusions
Full Text
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