Digital and Field Techniques
for Coastal Environment Studies (CE/NR797)

CE/NR797 Lab Report: Water and wind circulation 

[Prepared by R. Fortner for ¡§Digital and Field Techniques for Coastal Environment Studies,¡¨ 7/02]

Objective: To develop a general model of the relationship between physical movements and characteristics of lake components around Gibraltar Island, for purposes of prediction and to facilitate research. In general, we will try to identify how wind speed and direction are related to surface and internal current speed and direction, and how these movements could affect sediment transport and Stone Lab research protocols.

Methodology: Please report on the methods used for data collection, including the following

Instruments and procedure used to measure the variables of

  • wind speed and direction
  • current speed and direction
  • water transparency
  • station location

Sources of error in measurements
Location (url) and source of data used in GLFS

Results:

A. Sampling locations. On a map that includes Put-in-Bay, Gibraltar and Middle Bass Islands, plot the locations of data collection over the period of the lab. For this section we are most interested in the range of geographic area covered by measurements rather than the specific dates of collection at the points. Your figure caption should include the starting and ending dates of data collection.

B. Wind. Develop a wind rose for the Bay and one for the Buoy area to illustrate the speed and direction of wind in July 2002.

C. Wind and surface water. Using your spreadsheet, compare the speed of surface current with speed of wind for the entire period, and plot surface current direction against wind direction (all points with data available on the four variables). Attach graphs clearly labeled for the variables and the analysis intended.

D. Water level. Use the limnology class data, the 797 periodic reports, and Coastwatch to get data on lake water levels at Marblehead at the general times of your wind readings. Use In Situ data, Water Level, Preliminary Current Water Level data. Add the data from the most complete source to your spreadsheet and analyze for relationships. Show graphically how/whether lake level was related to wind speed or direction or both during your study period.

E. Surface and subsurface water. Demonstrate with your data the relationship between surface and subsurface currents (direction and speed for the dates possible).

F. Water transparency. Secchi depths are included prominently in the water chemistry lab report. In addition to the role in primary productivity, this variable relates to the ability of researchers at Stone Lab to complete their research protocols. Murky water and moving sediment, especially accompanied by rough water, makes some research more difficult. Review the secchi data and determine if the measures are related to wind speed or subsurface current in either the bay or lake.

Analysis and applications

1. Summary of variable relationships. In simple statements describe the relationships between the variables you measured. This may be in chart or list form as you prefer.

2. Relationship to on-line reports. For any 3 days of sampling, examine the GLFS data on Integrated Currents (V) and Wind (W) and determine the extent to which local measures match the model. If you magnify the GLFS image you may be able to get greater definition of the region you have studied. For a recent period of 2 days of sampling, determine how closely the MAROBS South Bass buoy data match your wind direction and speed data. If the SBI buoy is not on your map of data stations, add it at Latitude : 41.64 degrees, Longitude : 82.84 degrees. Discuss the value of field observations used concurrently with on-line data.

3. General. Describe the sources of error in your data. Under ideal conditions (dependable equipment and safe boating conditions) what could the data collectors do to increase confidence in the data (not statistical confidence but personal confidence related to data integrity and reproducibility).

4. Research applications. Numerous researchers need to use lake data in their work and must collect the data on or under the water. Attached is a list of research projects in progress at the Lab this summer. For two projects that you choose, tell briefly how data on some variables you measured could be used in the work, either as a predictive dataset, identifying constraints to sampling, a needed piece of information, or other use.


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