communicating environmental hazards: neighborhood-level environmental health information concerning...

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Communicating Environmental Hazards: Neighborhood-level Environmental Health Information Concerning Coal Ash Ponds Stephanie Piperno, Jeff Rose PhD Davidson College Davidson, NC March 13, 2015

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National Environmental Justice Conference and Training Program Presentation, March 13, 2015

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  • Communicating Environmental Hazards: Neighborhood-level Environmental Health Information Concerning Coal Ash Ponds

    Stephanie Piperno, Jeff Rose PhD Davidson College Davidson, NC March 13, 2015

  • Coal Ash Ponds

    q A harmful by-product of burning coal

    q Contains metals like arsenic, antimony, chromium, and selenium.

    q Mixed with water and stored in ponds (often unlined) q Health effects: increased risk of cancer, stomach aliments, and lung and heart problems.

    Image 1. Where does coal ash come from?

  • Ponds in the United States 1,400 coal ash dumps in the United States

    70% are located in low-income communities 200 are known to have contaminated nearby waters 21 of the nations 45 high hazard ponds are in the Southeast

    Image 2. Coal ash sites

  • Coal ash ponds in North Carolina q North Carolina has 37 coal ash dumps located at 14 sites spread through out the state q Dan River Coal Ash Spill in Eden, NC

    Attention from the media

    q Riverbend Steam Stations 2 ponds make EPAs hazardous ponds list

    Image 4. Dan River spill Image 3. Hazardous ponds in NC

  • Riverbend Steam Station

    Image 5. Riverbend Steam Station, Mt. Holly, NC.

  • Riverbend Steam Station Mt. Holly, NC

    Image 6. Aerial map of Riverbend and Stonewater

  • q 1) How aware are Stonewater residents of Riverbends coal ash ponds and how did these residents become aware and educated about the ponds?

    q 2) What sources of information did the residents find most trustworthy?

    q 3) What sources of information do the residents perceive as responsible for disseminating environmental risk information?

    Research questions

    Image 7. Smoke stacks

  • Hypotheses

    Two dependent variables: q Knowledge q Source of information

    q Independent Variables: q Years lived in Stonewater q Level of education q Race q Gender

    Knowledge= B0 + B1years + B2level of education + B3race + B4gender + B5responsibility+ E

    Source of Information= B0 + B1trust + B2level of education + B3race + B4gender +B5responsibility+ E

  • Methods

    q Developed a 23-question questionnaire

    q Created a pilot questionnaire and distributed it to a local community

    q Administered using three methods: o By foot to 150 homes o On the community home page o Personal emails sent to 140 residents

    Image 8. Aerial view of Stonewater

  • Questionnaire results

    q 35 responses over a 27 day period q 82% white q 56% of respondents were male

    q Response rate?

    Level of Education Response %

    High school graduate 1 3% Trade/technical/vocational training 0 0% Associate degree 9 27% Master's degree 10 30% Professional degree 10 30% Doctorate degree 3 9% Total 33 100%

    Year moved into home Number of Residents

    N/A 5 2003 1 2005 4 2007 2 2008 2 2009 2 2010 6 2011 5 2012 3 2013 4 2014 1

  • Results

    Regression StatisticsMultiple R 0.595474941R Square 0.354590405Adjusted R Square -0.063027568Standard Error 0.592327159Observations 29

    ANOVAdf SS MS F Significance F

    Regression 11 3.276904432 0.2979004 0.84907841 0.59957727Residual 17 5.964474879 0.35085146Total 28 9.24137931

    Coefficients Standard Error t Stat P-value Lower 95% Upper 95%Intercept 53.02666334 102.2934584 0.51837785 0.610876077 -162.79367 268.846995Year -0.026182068 0.050811314 -0.5152803 0.612992693 -0.1333846 0.08102043Q19 Education -0.079059514 0.121141439 -0.6526215 0.52272829 -0.3346456 0.17652658Q21 Black 0.545384906 0.686721332 0.79418664 0.438033376 -0.9034705 1.99424027Q21 Asian 0.496171336 0.53576043 0.92610672 0.367351978 -0.6341844 1.62652704Q20 Female 0.315492364 0.286871643 1.09976839 0.286763574 -0.2897539 0.92073863Q12 Duke 0.216003403 0.155471719 1.38934209 0.182659516 -0.1120133 0.54402006Q12 Developer 0.162012683 0.254332517 0.63701128 0.532602834 -0.374582 0.69860739Q12 Real Estate -0.216281638 0.238170013 -0.9080977 0.376520471 -0.7187764 0.28621316Q12 Media 0.130467425 0.164184032 0.79464138 0.437775834 -0.2159306 0.47686545Q12 Town -0.122943198 0.182025283 -0.6754183 0.50849388 -0.506983 0.26109658Q12 Resident 0.14665833 0.165518477 0.88605413 0.387950738 -0.2025551 0.49587179

    Regression 1: Knowledge as dependent variable

  • Regression 2: Source of

    Information

    Significance F P-Value (Education)

    Coefficients

    Social Media 0.024 0.035 -5.835

    Real Estate 0.020 0.035 -5.711

    Community 0.025 0.039 -5.753

    Significant Results

    Level of educations influence on source of information:

  • Discussion

    q Residents are more informed today about environmental risks of coal ash ponds.

    q Level of education influences what sources people use

    Answer Response % Very aware 5 15% Somewhat aware 12 35% Unaware 8 24% Never heard the term "coal ash" 9 26% Total 34 100%

    Response % 19 56% 14 41% 1 3%

    0 0%

    34 100%

    Awareness when first moved to Stonewater Awareness today

  • Conclusions

    q One organized, trusted, and accessible system of environmental risk information

    q Mixed levels of community engagement

    q Economic interests outweigh health concerns

    q Small sample size q Needed more questions about

    demographics (income, job, and age)

    q Most concerned residents could

    have already moved out of Stonewater

    q Could explore further the types of

    sources individuals use to obtain information Ex. What kind of materials are

    people using when they select personal investigation

    Research Application

  • Sources

    http://appvoices.org/coalash/facts/ http://earthjustice.org/features/the-coal-ash-problem http://www.theguardian.com/environment/2011/ apr/04/world-bank-funding-coal-power http://www.southeastcoalash.org/ http://www.resilience.org/stories/2013-07-22/ water-stress-threatens-future-energy-production http://imgarcade.com/1/coal-ash-pond/