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Abstracts (PDF file, 1.8MB) - Society for Risk Analysis

Abstracts (PDF file, 1.8MB) - Society for Risk Analysis

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SRA 2013 Annual Meeting <strong>Abstracts</strong><br />

P.155 CABRERA, VB*; DE LAS POZAS, C; Universidad San<br />

Sebastian; victor.cabrera27@gmail.com<br />

Ammonia removal from waste water from cattle and<br />

livestock and its reuse<br />

Waste water from some farms ought to be treated with zeolite,<br />

which is an aluminum silicate based volcanic mineral that can<br />

be used in order to remove heavy metals and other toxins,<br />

among them ammonia and ammonium. The zeolite looks like a<br />

sand that has a negative charge which attract and bond with<br />

the toxins and another toxic elements found in the waste. This<br />

treated water now that can be used <strong>for</strong> watering crops and<br />

farmlands in the urban areas of Central Chile. If the treated<br />

water is not treated with zeolite, the risk of contamination is a<br />

potential danger, not just <strong>for</strong> crop but <strong>for</strong> the soil. Infiltration of<br />

this water will contaminate water table, aquifers and will leach<br />

some layers and stratus, there<strong>for</strong>e groundwater will be<br />

affected. According to Langmuir model zeolite compounds used<br />

in waste water from horse stables, cowshed and, livestock<br />

barns, piggery shed have given an extraordinary fit <strong>for</strong> NH4<br />

and NH3 ions<br />

W2-A.1 Calabrese, E*; Yazigi, D; University of<br />

Massachusetts/Mercatus Center ; dyazigi@mercatus.gmu.edu<br />

Establishing guidelines <strong>for</strong> more objective risk<br />

assessments<br />

Major regulations are justified on the grounds that the benefits<br />

exceed the costs. Benefit calculations are based on risk<br />

assessments (RAs), and thus the real values of many major<br />

regulations are dependent on the quality of their accompanying<br />

RAs. In 2006, the Office of Management and Budget (OMB)<br />

issued draft guidelines to improve the quality of in<strong>for</strong>mation<br />

and analyses disseminated by federal agencies which were<br />

ultimately reviewed by the National Academy of Sciences<br />

(NAS). We will compile federal agency standards <strong>for</strong> RAs using<br />

the NAS review and other federal risk assessment guidance<br />

(from NAS, OMB, and other federal agencies). Using this<br />

compilation it will be possible to objectively analyze new and<br />

existing RAs and to demonstrate, particularly <strong>for</strong> the topic of<br />

human health, “which agencies do not appear to know what<br />

good practices are and which agencies do not have the ability,<br />

resources or incentives to meet the standards.” This will pave<br />

the road <strong>for</strong> subsequent research into the quality and<br />

methodology behind federal risk assessment guidelines and will<br />

shed light on the net benefits of many human health and safety<br />

regulations.<br />

P.153 Canales, RA*; Sinclair, RG; Soto-Beltran, M; Reynolds, K;<br />

The University of Arizona; rcanales@email.arizona.edu<br />

Simulating Non-Dietary Ingestion of Listeria<br />

monocytogenes from Residential Surfaces<br />

While infection by Listeria monocytogenes in healthy<br />

individuals typically leads to only mild symptoms, in susceptible<br />

populations listeriosis has a high fatality rate. In fact the United<br />

States Centers <strong>for</strong> Disease Control lists Listeria as one of the<br />

top five pathogens causing foodborne illness resulting in death.<br />

The objective of this work is to compose and present a<br />

simulation framework <strong>for</strong> estimating health risks from<br />

non-dietary ingestion of Listeria in residential environments.<br />

Although there is evidence that principle sources of Listeria<br />

include ready-to-eat foods and unpasteurized dairy products,<br />

we take a cue from the chemical risk assessment field and<br />

realize an exploration of additional pathways of exposure may<br />

be warranted. The framework is composed of simulated<br />

activities and transfer of Listeria from household surfaces to<br />

hands, and subsequent transfer from hands to mouth. Hand and<br />

mouth activities are modeled using published behavioral data<br />

and incorporate values <strong>for</strong> the surface area of contact. The<br />

framework is applied to data collected from an exploratory<br />

study of pathogens on household surfaces in an urban<br />

low-income community in Lima, Peru. Approximately 25% of<br />

fomites tested were positive <strong>for</strong> Listeria, with positive<br />

concentrations ranging from 0.2 to greater than 75 MPN/10<br />

cm2. Inputs were incorporated as truncated probability<br />

distributions and the framework was run as a Monte Carlo<br />

assessment – resulting in distributions of non-dietary ingestion<br />

estimates and risks. While the resulting exposure and risk<br />

estimates were relatively low, the primary insight in<br />

constructing the framework is the realization that there are<br />

limited data in developing realistic assessments of non-dietary<br />

ingestion exposure to Listeria in residential environments.<br />

Limited data exist regarding adult behaviors/contacts with<br />

surfaces, and transfer of Listeria from surfaces to skin and from<br />

skin to mouth. When assessing risk, there are also difficulties<br />

since dose-response models <strong>for</strong> Listeria are inconsistent and<br />

poorly understood.<br />

W4-H.5 Canfield, CI*; Bruine de Bruin, W; Wong-Parodi, G;<br />

Carnegie Mellon University, Leeds University Business School;<br />

ccanfiel@andrew.cmu.edu<br />

Designing an electricity bill to motivate savings: The<br />

effect of <strong>for</strong>mat on responses to electricity use<br />

in<strong>for</strong>mation<br />

AIM. Electricity bills could be a low-cost strategy <strong>for</strong> improving<br />

feedback about consumers' home electricity use. Effective<br />

feedback would help households to save money on their<br />

electricity bills and reduce their environmental impacts.<br />

However, complex quantitative feedback may be difficult to<br />

understand, especially <strong>for</strong> consumers with low numeracy or low<br />

energy literacy. In a project funded by the US Department of<br />

Energy and a partnering electricity company, we built on the<br />

health communication literature, which has identified <strong>for</strong>mats<br />

<strong>for</strong> communicating risks to low-numerate individuals. METHOD.<br />

In a between-subjects design, 201 adults from diverse<br />

backgrounds saw one of three <strong>for</strong>mats <strong>for</strong> presenting electricity<br />

use in<strong>for</strong>mation including (1) tables, (2) icon graphs, and (3)<br />

bar graphs. In their assigned <strong>for</strong>mat, each participant saw three<br />

in<strong>for</strong>mation types: (a) historical use, (b) recent electricity use as<br />

compared to their neighbors, and (c) historical use, broken<br />

down by appliance. RESULTS. Three main findings emerged:<br />

First, the table <strong>for</strong>mat generated the highest understanding<br />

across all three in<strong>for</strong>mation types <strong>for</strong> participants of all<br />

numeracy and energy literacy levels. Second, the benefit of<br />

alternative graphical <strong>for</strong>mats varied depending on in<strong>for</strong>mation<br />

type, in terms of effects on understanding and trust and liking.<br />

Third, individuals with lower numeracy and energy literacy<br />

understood all <strong>for</strong>mats less. CONCLUSIONS. Graphical displays<br />

are known to produce cognitive overload when their message<br />

becomes too complex. For communicating electricity use<br />

in<strong>for</strong>mation, we find that tables are better. Our results can be<br />

applied to design utility bills that are both understandable and<br />

motivational to all consumers.<br />

December 8-11, 2013 - Baltimore, MD

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