9:45 AM - 10:00 AM
[ACG45-04] Sediment dynamics of the Mekong River and coastal erosion
★Invited Papers
Keywords:River dam, Sediment deficit, Southeast Asia, River sand mining, Human activity
The Mekong delta represents a typical mixed-energy delta with spatially variable contributions of fluvial, wave, and tidal processes to sediment transport; tide-modulated wave processes dominate the open coast, whereas distributary channels are characterized by an upstream to downstream transition from fluvial to tide-dominated estuarine processes. All regions are influenced by strong contrasts between the winter and summer monsoons, which define an annual sedimentary cycle; the weaker southwesterly summer monsoon causes river flooding and sediment supply, whereas the northeasterly winter monsoon is dry and stronger, associated with limited fluvial sediment supply and asymmetric longshore sediment drift toward the southwest. The coastal erosion exhibits spatial heterogeinity; updrift erosion and downdrift deposition appear to balance in the sandy river mouth area while downdrift muddy coast has been eroded remarkably.
Behaviors of the sandy coast are characterized by 200–600-year cycles in which an emergence of river mouth bar causes a jump of elongate barrier shoreline several kilometers offshore. This sporadic nature introduces uncertainties in estimate of sediment budget from short-term shoreline mapping just over several decades and highlights need for monitoring subaqueous topography. The serious erosion of the downdrift coast has continued for > 100 years and is not attributable to river dams and sand mining in the last decades. It may have reflected land-use changes in the catchment, construction of canal networks on the delta plain, and/or climate changes. The human activities are being further accelerated, with completion of the largest upper-reach dam in 2012 and further expansion of river sand mining. Dynamics of riverine water and sediment in the Mekong River is a socio-economic issue and should be better understood through multiple approaches, such as remote sensing, numerical modeling, and thorough, quantitative monitoring.