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The impacts of human activities on the sediment load of the Yellow River and the long-term evolution of the delta have been extensively investigated, but less is known of the variation in sediment grain size in the littoral zone. In this study, the data of surface sediment samples collected from the littoral area of the Yellow River Delta in 2000 and 2007 are used to investigate the spatial distribution and transport pathway of the sediment, as well as the grain size response to the drastic decrease in riverine sediment discharge. By applying the geostatistics analysis method to grain size parameters in determining the characteristic distance in the sediment trend analysis method, an effective way to understand the movement and gradation of surface sediments around the delta has been proposed. The results show that as a whole the sediment in the inshore erosion area is coarser than that in the offshore accretion area. The grain size trends obtained reveal two converging zones of sediment movement. We find a coarsening trend in sediment from 2000 to 2007. Possible mechanisms for this trend are discussed. [ABSTRACT FROM AUTHOR]

This study investigates the large scale spatial variation behaviour of shoreline changes using the beach profile data along approximately 600 km shoreline around Hainan Island, China. It was found that there exists a power-law relationship between the mean shoreline change variance and the corresponding alongshore scale which holds up to 30 km for the annual shoreline change and reduces to 15 km for the seasonal shoreline change. The spatial and seasonal variations of shoreline azimuth, beach sediment size and wave conditions, and their connection with the shoreline change on different scales were studied. The results suggest that the internal feedback mechanisms between various processes with different spatial scales may be responsible for the observed shoreline change patterns, i.e. the annual shoreline behaviour on spatial scale 5-30 km is likely to be the result of selforganization, while the seasonal waves including tropical cyclones and storms exert dominant control of the morphological patterns at spatial scale of 10-25 km. [ABSTRACT FROM AUTHOR]

Bioleaching, the addition of bacteria to geological materials, has been applied to sludge to remove metals and improve upon sludge dewaterability. This paper investigates the effect of using different quantities of inoculum (bacteria) during bioleaching on sludge dewaterability. The analysis was based on bioleaching experiments conducted in a 20 L bio-reactor using different quantities of inoculum (20%, 10%, 5%, 2%, 0%). Changes in pH, oxidation reduction potential (ORP), capillary suction time (CST), specific resistance to filtration (SRF) and extracellular polymeric substances (EPS) were determined to gauge sludge dewatering. Results indicate that sludge dewaterability during the 2%, 10%, and 20% inoculum experiments declined through time. Decreased dewaterability is attributed to increases in the quantity of proteins and polysaccharides in slime EPS. Dewaterability improved during the 5% inoculum experiment, and reached a maximum when pH was 2.3. During this latter experiment, CST and SRF were reduced by 74% and 62%, respectively, in comparison to control conditions, while total EPS content decreased by 71%. The decrease in total EPS was primarily due to a decrease in proteins associated with tightly bound EPS (TB-EPS). Thus, changes in the amount of proteins in TB-EPS and sludge pH played a crucial role in sludge dewaterability. [ABSTRACT FROM AUTHOR]