Shoreline Erosion in the Upper Chesapeake Bay: Point Lookout State Park to Calvert Cliffs State Park, Maryland, July 16, 1989

10.1029/ft233 ◽  
1989 ◽  
Author(s):  
Orrin H. Pilkey ◽  
Chistopher Zabawa ◽  
John Ernissee ◽  
Jordan Loran
Keyword(s):  
Chesapeake Bay ◽  
Shoreline Erosion

scholarly journals Influences of Wave Climate and Sea Level on Shoreline Erosion Rates in the Maryland Chesapeake Bay

2017 ◽  
Vol 41 (S1) ◽  
pp. 19-37 ◽  
Author(s):  
Lawrence P. Sanford ◽  
Jia Gao
Keyword(s):  
Chesapeake Bay ◽  
Sea Level ◽  
Spatial Patterns ◽  
Wave Model ◽  
Wave Climate ◽  
Shoreline Erosion ◽  
Wave Power ◽  
Mass Rate ◽  
Erosion Rates ◽  
And Sea Level

Abstract We investigated spatial correlations between wave forcing, sea level fluctuations, and shoreline erosion in the Maryland Chesapeake Bay (CB), in an attempt to identify the most important relationships and their spatial patterns. We implemented the Simulating WAves Nearshore (SWAN) model and a parametric wave model from the USEPA Chesapeake Bay Program (CBP) to simulate wave climate in CB from 1985 to 2005. Calibrated sea level simulations from the CBP hydrodynamic model over the same time period were also acquired. The separate and joint statistics of waves and sea level were investigated for the entire CB. Spatial patterns of sea level during the high wave events most important for erosion were dominated by local north-south winds in the upper Bay and by remote coastal forcing in the lower Bay. We combined wave and sea level data sets with estimates of historical shoreline erosion rates and shoreline characteristics compiled by the State of Maryland at two different spatial resolutions to explore the factors affecting erosion. The results show that wave power is the most significant influence on erosion in the Maryland CB, but that many other local factors are also implicated. Marshy shorelines show a more homogeneous, approximately linear relationship between wave power and erosion rates, whereas bank shorelines are more complex. Marshy shorelines appear to erode faster than bank shorelines, for the same wave power and bank height. A new expression for the rate of shoreline erosion is proposed, building on previous work. The proposed new relationship expresses the mass rate of shoreline erosion as a locally linear function of the difference between applied wave power and a threshold wave power, multiplied by a structure function that depends on the ratio of water depth to bank height.

scholarly journals Effects of reduced shoreline erosion on Chesapeake Bay water clarity

2021 ◽  
Vol 769 ◽  
pp. 145157
Author(s):  
Jessica S. Turner ◽  
Pierre St-Laurent ◽  
Marjorie A.M. Friedrichs ◽  
Carl T. Friedrichs
Keyword(s):  
Chesapeake Bay ◽  
Water Clarity ◽  
Shoreline Erosion

Between ‘Savage Man’ and ‘Most Faithful Englishman’ Manteo and the Early Anglo-Indian Exchange, 1584–1590

Itinerario ◽  
2000 ◽  
Vol 24 (2) ◽  
pp. 146-169 ◽  
Author(s):  
Michael Leroy Oberg
Keyword(s):  
North Carolina ◽  
Chesapeake Bay ◽  
One Year ◽  
Anglo Indian

In August of 1587 Manteo, an Indian from Croatoan Island, joined a group of English settlers in an attack on the native village of Dasemunkepeuc, located on the coast of present-day North Carolina. These colonists, amongst whom Manteo lived, had landed on Roanoke Island less than a month before, dumped there by a pilot more interested in hunting Spanish prize ships than in carrying colonists to their intended place of settlement along the Chesapeake Bay. The colonists had hoped to re-establish peaceful relations with area natives, and for that reason they relied upon Manteo to act as an interpreter, broker, and intercultural diplomat. The legacy of Anglo-Indian bitterness remaining from Ralph Lane's military settlement, however, which had hastily abandoned the island one year before, was too great for Manteo to overcome. The settlers found themselves that summer in the midst of hostile Indians.

Developing TMDLs for Local Impairments Consistent with the Regional Chesapeake Bay TMDL

2012 ◽  
Author(s):  
Gene Yagow ◽  
Brian Benham ◽  
Karen Kline ◽  
Becky Zeckoski ◽  
Carlington Wallace
Keyword(s):  
Chesapeake Bay

Spatial ecology and growth in early life stages of bay anchovy Anchoa mitchilli in Chesapeake Bay (USA)

2020 ◽  
Vol 651 ◽  
pp. 125-143
Author(s):  
TD Auth ◽  
T Arula ◽  
ED Houde ◽  
RJ Woodland
Keyword(s):  
Chesapeake Bay ◽  
Spatial Ecology ◽  
Environmental Variability ◽  
Larval Growth ◽  
Larval Abundance ◽  
Spatial And Temporal Variability ◽  
Estuarine Ecosystem ◽  
Anchoa Mitchilli ◽  
Larval Production ◽  
Bay Anchovy

The bay anchovy Anchoa mitchilli is the most abundant fish in Chesapeake Bay (USA) and is a vital link between plankton and piscivores within the trophic structure of this large estuarine ecosystem. Baywide distributions and abundances of bay anchovy eggs and larvae, and larval growth, were analyzed in a 5 yr program to evaluate temporal and spatial variability based on research surveys in the 1995-1999 spawning seasons. Effects of environmental variability and abundance of zooplankton that serve as prey for larval bay anchovy were analyzed. In the years of these surveys, 97.6% of eggs and 98.8% of larvae occurred in the polyhaline lower bay. Median egg and larval abundances differed more than 10-fold for surveys conducted in the 5 yr and were highest in the lower bay. Within years, median larval abundance (ind. m-2) in the lower bay was generally 1-2 orders of magnitude higher than upper-bay abundance. Salinity, temperature, and dissolved oxygen explained 12% of the spatial and temporal variability in egg abundances and accounted for 27% of the variability in larval abundances. The mean, baywide growth rate for larvae over the 5 yr period was 0.75 ± 0.01 mm d-1, and was best explained by zooplankton concentration and feeding incidence. Among years, mean growth rates ranged from 0.68 (in 1999) to 0.81 (in 1998) mm d-1 and were fastest in the upper bay. We identified environmental factors, especially salinity, that contributed to broadscale variability in egg and larval production.

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