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Results

lab
inorganic water soil plant
microbial water soil
organic water
diy
inorganic water soil
microbial water

We did it!

 

All three years of Project Harvest data are visualized.

Please choose how you would like to see the 2017-2020 data.

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Graph interface

Strength in numbers

 

184 participants provided 3,473 total samples

111
Tucson
participants
Tucson water drop
26
Hayden-
Winkleman
participants
Hayden water drop
27
Globe-
Miami
participants
Globe water drop
20
Dewey-
Humboldt
participants
Dewey water drop

RECEIVED DIY & LAB PARTICIPANTS KITS

Project Harvest participants were randomly assigned to one of two sampling groups. Participants in the lab group collected rainwater, soil and/or plant samples throughout the year to be analyzed at University of Arizona laboratories. The DIY group was provided materials on how  to collect rainwater and soil samples, perform contaminant analyses for arsenic and microbial contamination and interpret results at home. The DIY participants submit their results, rather than samples, to university researchers.

2017-2018

DIY Kits

LAB Kits

2018-2019

DIY Kits

LAB Kits

2019-2020

DIY Kits

LAB Kits

What did we learn?

 

In 2019-2020 only the first and last winter samples are reported. We had to cancel the first and last monsoon sample seasons due to COVID-19

Percent of samples that detected each contaminant by community

Percent of samples that detected each contaminant by year

Percent of samples that detected each contaminant by community

Percent of samples that detected each contaminant by year

Please note that metals occur naturally in the environment.  While we can measure the level of a metal in certain substances, it is difficult to know the original source of the metal.  For example, arsenic may be found in soil in many parts of the state because it naturally occurs in these regions.

Percent of samples that detected each contaminant by community

Percent of samples that detected each contaminant by year

Please note that metals occur naturally in the environment.  While we can measure the level of a metal in certain substances, it is difficult to know the original source of the metal.  For example, arsenic may be found in soil in many parts of the state because it naturally occurs in these regions.

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Results graph interface

Videos

Coming soon.
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This online interface shows the test results of your home’s harvested rainwater, soil and plant samples. Your results are highlighted and compared to other Project Harvest participants in your community as well as regulatory standards and/or reference values when available.

Altogether, 260 community members were trained, and 851 water, 137 soil, and 71 plant samples were prepared and analyzed in Year 1!

Overview graphic

To view the online documentation materials of Project Harvest contaminants and standards and/or reference values, click the icon below.

Contaminants and Standards and/or Reference Values Descriptions for Water, Soil, and Plants

If you know how to interpret your results already, please proceed to “See Results.” If you need a refresher, or are viewing the results for the first time, please clickon the following icons to download the introduction PDFs, which show you the project overview, important terms and references, and how to read your results.

Project Overview
Important Terms/ References
How to read your results
*The results have been internally reviewed but have not undergone external peer review and may be subjected to minor changes.

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Contact

Integrated Environmental Science and Health Risk Laboratory logo

Integrated Environmental Science and Health Risk Laboratory

University of Arizona
1177 E 4th Street, Rm. 429
Tucson, AZ 85721
520-621-0091
Contact Us

Partners

  • Logo of Sonora Environmental Research Institute, Inc.
  • Gila County
  • Pima County
  • Yavapai County
  • Community Gardens of Tucson
  • Sunnyside Neighborhood Association
  • Elvira Elementary School
  • Humboldt Elementary
  • Hayden-Winkelman School District

Supporters

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Logo of National Science Foundation
This material is based upon work supported by the National Science Foundation under Grant No. DRL-1612554. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

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