in this paper, the large amount of sedimentation and the resultant shoreline advancements at the breakwaters of beris fishery port are studied. a series of numerical modeling of waves, sediment transport, and shoreline changes were conducted to predict the complicated equilibrium shoreline. the outputs show that the nearshore directions of wave components are not perpendicular to the coast whic...

Developed coastal areas often exhibit a strong systemic coupling between shoreline dynamics and economic dynamics. “Beach nourishment”, a common erosion-control practice, involves mechanically depositing sediment from outside the local littoral system onto an actively eroding shoreline to alter shoreline morphology. Natural sedimenttransport processes quickly rework the newly engineered beach, ...

Quantifying Ra inputs to the coastal ocean is an important constraint for using Ra isotopes as a tracer of nearshore mixing in the water column. A study of the short-lived Ra (Ra, Ra) inputs from the seafloor and shoreline to the surface water of San Pedro Bay is presented. The Ra flux is a function of the seawater flux through sediments. Three different water exchange mechanisms were examined....

The Yellow River, which is the second largest river in China, is regarded as the world’s largest contributor of fluvial sediment load to the ocean. In recent decades, the dramatic reduction in water discharge and sediment load due to climate change and human activities in the drainage basin has greatly constrained the evolution process of Yellow River delta. We highlight how runoff and sediment...

dology is developed in which a simple deterministic shoreline change model is in a probabilistic manner as one component of a quantitative coastal change assessment. The main drivers of decadal-scale shoreline change, wave climate ment supply, are varied within a range of realistic scenarios to develop over 200 e change model simulations. Through numerous SWAN wave simulations, a table is devel...

This study presents an unsupervised fuzzy c-means classification (FCM) to observe the shoreline positions. We combined crisp and fuzzy methods for change detection. We addressed two perspectives of uncertainty: (1) uncertainty that is inherent to shoreline positions as observed from remote sensing images due to its continuous variation over time; and (2) the uncertainty of the change results pr...

[1] There is disagreement as to whether shoreline position eventually recovers from large storms. In an earlier paper we showed that statistical modeling of historical shoreline data was improved by including large storms in the model via a transient storm function. Here we show that, at shorter timescales of months to years, modeling of the shoreline at Assateague Island, MD is improved by a s...

HANSON, H. and KRAUS, N.C., 2011. Long-Term Evolution of a Long-Term Evolution Model. In: Roberts, T.M., Rosati, J.D., and Wang, P. (eds.), Proceedings, Symposium to Honor Dr. Nicholas C. Kraus, Journal of Coastal Research, Special Issue, No. 59, pp. 118-129. West Palm Beach (Florida), ISSN 0749-0208. This paper reviews the 25-plus year history of significant developments of the GENESIS shoreli...

This paper presents algorithmic components and corresponding software routines for extracting shoreline features from remote sensing imagery and LiDAR data. Conceptually, shoreline features are treated as boundary lines between land objects and water objects. Numerical algorithms have been identified and devised to segment and classify remote sensing imagery and LiDAR data into land and water p...

Changes in shoreline configurations accelerated due to global warming are world wide concern. Such changes not only affect the flora and fauna of those regions but also the livelihood of the coastal population. In the context, the 7517km long coastline of Indian coast behaves differently in different regions. Therefore, in order to assess the shoreline changes taking place in particular coastal...