Chicago

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Author
Jonathan Levy
Description
The Chicago Park District collects and analyzes water samples from beaches along Chicago’s Lake Michigan lakefront. The Chicago Park District partners with the University of Illinois at Chicago Department of Public Health Laboratory to analyze water samples using a new DNA testing method called Rapid Testing Method (qPCR analysis) which tests for Enterococci in order to monitor swimming safety. The rapid testing method (qPCR analysis) is a new method that measures levels of pathogenic DNA in beach water. Unlike the culture based test that requires up to 24 hours of processing, the new rapid testing method requires a 4-5 hours for results. The Chicago Park District can use results of the rapid test to notify the public when levels exceed UPEPA recommended levels, which is 1000* CCE. When DNA bacteria levels exceed 1000 CCE, a yellow swim advisory flag is implemented. For more information please refer to the USEPA Recreational Water Quality Criteria (http://water.epa.gov/scitech/swguidance/standards/criteria/health/recreation). Historically, the Chicago Park District used the culture based analysis method and statistical prediction models to monitor beach water quality. The culture based method tests for Escherichia coli (E. coli) bacteria which is an indicator species for the presence of disease-causing bacteria, viruses, and protozoans that may pose health risks to the public. This method requires 18-24 hours of processing to receive results. The Chicago Park District would use results of the culture based method to notify the public when levels exceed UPEPA recommended levels, which is 235* CFU. When bacteria levels exceed 235 CFU, a yellow swim advisory flag was implemented. This standard is still used at most beaches throughout the Great Lakes region. For more information please refer to the USEPA Recreational Water Quality Criteria. The statistical prediction model forecasted real-time Escherichia coli (E. coli) bacteria levels present in the water. The Chicago Park District (CPD) in partnership with the US Geological Survey, developed statistical prediction models by using weather data pulled from CPD buoys (https://data.cityofchicago.org/d/qmqz-2xku) and weather stations (https://data.cityofchicago.org/d/k7hf-8y75). The Chicago Park District would use results of the predictive model to notify the public when bacteria levels would exceed 235 CFU. When bacteria levels exceed 235 CFU, a yellow swim advisory flag was implemented. * The unit of measurement for Escherichia coli is Colony Forming Units (CFU) per 100 milliliters of water. (Culture Based Method / Statistical Prediction Model) *The unit of measuring DNA is Enterococci Calibrator Cell Equivalents (CCE) per 100 milliliters of water. (Rapid Testing Analysis)
Category
Parks & Recreation
Tags
beaches, parks, chicago park district, open spaces, parks & recreation, recreation, water
Rating
Current value: 0 out of 5
Data Provided By
Chicago Park District
Source Link
http://www.chicagoparkdistrict.com/
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Size
  • 500x425

  • 760x646

  • 950x808

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425x425 is the minimum size

The Socrata Open Data API (SODA) provides programmatic access to this dataset including the ability to filter, query, and aggregate data. For more more information, view the API docs for this dataset or visit our developer portal

API Endpoint:

Field Names:

DNA Test ID
dna_test_id
DNA Sample Timestamp
dna_sample_timestamp
Beach
beach
DNA Sample 1 Reading
dna_sample_1_reading
DNA Sample 2 Reading
dna_sample_2_reading
DNA Reading Mean
dna_reading_mean
Culture Test ID
culture_test_id
Culture Sample 1 Timestamp
culture_sample_1_timestamp
Culture Sample 1 Reading
culture_sample_1_reading
Culture Sample 2 Reading
culture_sample_2_reading
Culture Reading Mean
culture_reading_mean
Culture Note
culture_note
Culture Sample Interval
culture_sample_interval
Culture Sample 2 Timestamp
culture_sample_2_timestamp
Latitude
latitude
Longitude
longitude
Location
location
Community Areas
:@computed_region_vrxf_vc4k
Zip Codes
:@computed_region_6mkv_f3dw
Boundaries - ZIP Codes
:@computed_region_rpca_8um6
Census Tracts
:@computed_region_bdys_3d7i
Wards
:@computed_region_43wa_7qmu

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