Sentence examples for models of sediment from inspiring English sources

Moving from the inverse modelling approach embodied in provenance research to process-based forward models of sediment generation which provide detailed predictions of sediment properties meets with considerable (albeit not insurmountable) problems.

Even today, numerical models of sediment transport processes are confronted with some difficulties, often of conceptual nature.

However, the idea is to use grain-resolved simulations to develop better models of sediment transport to be used in larger-scale simulations.

Conceptual models of sediment provenance are shown to be consistent with two classes of numerical statistical models, i.e. linear mixing models and compositional linear models.

Verification of the theory thus requires a careful analysis of abundant morphological data and numerical modeling of sediment transports.

Open image in new window Fig. 11 Depositional model of sediment gravity flows in the 6th and 7th members of the Yanchang Formation in the Binchang area, Ordos Basin, China.

The modeling of sediment yields is based on the Revised Universal Soil Loss Equation (RUSLE2015, Panagos et al., 2015) and the sediment delivery ratio (SDR).

Numerical simulation models for rockfall, debris flows, and (hillslope and channel) fluvial processes are used to establish a spatially explicit graph model of sediment sources, pathways and sinks.

The new formula is well suited for practical applications in coastal areas, as well as for numerical modeling of sediment transport and shoreline change in the nearshore.

Isaack et al. (2016) present a sea-level driven model of sediment dynamics based on a multi-proxy record in the barrier-reef lagoon of Bora Bora in the South Pacific.

The authors develop a conceptual model of sediment carbon fate in karst terrain with specific emphasis upon phreatic karst conduits, i.e., those located below the groundwater table that have the potential to trap surface-derived sediment and turnover carbon.