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Risk characterization

In the last step, a hazard quotient (HQ) as an indicator of risks associated with health effects other than cancer and excess cancer risk (ECR) as the incremental probability of an exposed person developing cancer over a lifetime, are calculated by integrating toxicity and exposure information, as shown below. If HQ>1, there may be concern for potential adverse systemic health effects in the exposed individuals. If HQ ≤ 1, there may be no concern. It should be noted that HQs are scaling factors and they are not statistically based. The EPA's acceptable criterion for carcinogenic risks is based on public policy as described in the National Contingency Plan (NCP) and is the exposure concentration that represent an ECR in the range of 10 -4 – 10 -6 , i.e. 1 in 10,000 to 1 in 1,000,000 excess cancer cases ( EPA, 1990 ).

Noncancer Risk: HazardQuotient ( HQ ) = ADD RfD size 12{ ital "HazardQuotient" \( ital "HQ" \) = { { ital "ADD"} over { ital "RfD"} } } {}

Excess Cancer Risk (ECR): ECR = L ( ADD ) xCSF size 12{ ital "ECR"=L \( ital "ADD" \) ital "xCSF"} {}

To account for exposures to multiple COCs via multiple pathways, individual HQs are summed to provide an overall Hazard Index (HI). If HI>1, COCs are segregated based on their critical health end-point and separate target organ-specific HIs are calculated. Only if target organ-specific HI>1, is there concern for potential health effects for that end-point (e.g. liver, kidney, respiratory system).

Cumulative Noncancer Risk: HazardIndex = HI = COC NC = 1 n ( HQ o + HQ d + HQ i ) size 12{ ital "HazardIndex"= ital "HI"= Sum cSub { size 8{ ital "COC" rSub { size 6{ ital "NC"} } =1} } cSup {n} { \( ital "HQ" rSub { size 8{o} } + ital "HQ" rSub { size 8{d} } + ital "HQ" rSub { size 8{i} } \) } } {}

Cumulative Excess Cancer Risk: COC C = 1 n ECR = COC C = 1 n ( ECR o + ECR d + ECR i ) size 12{ Sum cSub { size 8{ ital "COC" rSub { size 6{C} } =1} } cSup {n} { ital "ECR"} size 12{ {}= Sum cSub { ital "COC" rSub { size 6{C} } =1} cSup {n} { \( ital "ECR" rSub {o} size 12{+ ital "ECR" rSub {d} } size 12{+ ital "ECR" rSub {i} } size 12{ \) }} }} {}

Here, o, d and i subscripts express oral (ingestion), dermal contact and inhalation pathways.

As discussed above, the HQ, HI, and ECR estimates are performed for RME and CTE scenarios separately in the case of deterministic risk assessment. Although EPA published the probabilistic risk assessment guidelines in 2001 ( EPA, 2001 ), its application has so far been limited. Proper evaluation of uncertainties, which are associated with compounded conservatism and potential underestimation of quantitative risk estimates (e.g. due to the presence of COCs without established toxicity values), is intrinsic to any risk-based scientific assessment. In general, uncertainties and limitations are associated with sampling and analysis, chemical fate and transport, exposure parameters, exposure modeling, and human dose-response or toxicity assessment (derivation of CSFs/RfDs, extrapolation from high animal doses to low human doses), and site-specific uncertainties.

Conclusion

The improvement in the scientific quality and validity of health risk estimates depends on advancements in our understanding of human exposure to, and toxic effects associated with, chemicals present in environmental and occupational settings. For example, life-cycle of and health risks associated with pharmaceuticals in the environment is poorly understood due to lack of environmental concentration and human exposure data despite extensive toxicological data on drugs. There are many other examples for which either data on exposure or toxicity or both have not yet been developed, preventing quantitative assessment of health risks and development of policies that protect the environment and public health at the same time. Therefore, it is important to continue to develop research data to refine future risk assessments for informed regulatory decision-making in environmental sustainability and to ensure that costs associated with different technological and/or engineering alternatives are scientifically justified and public health-protective. One area that, particularly, requires advancement is the assessment of health risks of chemical mixtures. Current risk assessment approaches consider one chemical at a time. However, chemicals are present in mixtures in the environment. Furthermore, physical, chemical and biological transformations in the environment and interactions among chemicals in the environment may change the toxic potential of the mixture over time. Thus, risk assessment is an evolving scientific discipline that has many uncertainties in all of the four steps. These uncertainties should be thoroughly documented and discussed and the risk assessment results should be interpreted within the context of these uncertainties.

Questions & Answers

What are the factors that affect demand for a commodity
Florence Reply
differentiate between demand and supply giving examples
Lambiv Reply
differentiated between demand and supply using examples
Lambiv
what is labour ?
Lambiv
how will I do?
Venny Reply
how is the graph works?I don't fully understand
Rezat Reply
information
Eliyee
devaluation
Eliyee
t
WARKISA
hi guys good evening to all
Lambiv
multiple choice question
Aster Reply
appreciation
Eliyee
explain perfect market
Lindiwe Reply
In economics, a perfect market refers to a theoretical construct where all participants have perfect information, goods are homogenous, there are no barriers to entry or exit, and prices are determined solely by supply and demand. It's an idealized model used for analysis,
Ezea
What is ceteris paribus?
Shukri Reply
other things being equal
AI-Robot
When MP₁ becomes negative, TP start to decline. Extuples Suppose that the short-run production function of certain cut-flower firm is given by: Q=4KL-0.6K2 - 0.112 • Where is quantity of cut flower produced, I is labour input and K is fixed capital input (K-5). Determine the average product of lab
Kelo
Extuples Suppose that the short-run production function of certain cut-flower firm is given by: Q=4KL-0.6K2 - 0.112 • Where is quantity of cut flower produced, I is labour input and K is fixed capital input (K-5). Determine the average product of labour (APL) and marginal product of labour (MPL)
Kelo
yes,thank you
Shukri
Can I ask you other question?
Shukri
what is monopoly mean?
Habtamu Reply
What is different between quantity demand and demand?
Shukri Reply
Quantity demanded refers to the specific amount of a good or service that consumers are willing and able to purchase at a give price and within a specific time period. Demand, on the other hand, is a broader concept that encompasses the entire relationship between price and quantity demanded
Ezea
ok
Shukri
how do you save a country economic situation when it's falling apart
Lilia Reply
what is the difference between economic growth and development
Fiker Reply
Economic growth as an increase in the production and consumption of goods and services within an economy.but Economic development as a broader concept that encompasses not only economic growth but also social & human well being.
Shukri
production function means
Jabir
What do you think is more important to focus on when considering inequality ?
Abdisa Reply
any question about economics?
Awais Reply
sir...I just want to ask one question... Define the term contract curve? if you are free please help me to find this answer 🙏
Asui
it is a curve that we get after connecting the pareto optimal combinations of two consumers after their mutually beneficial trade offs
Awais
thank you so much 👍 sir
Asui
In economics, the contract curve refers to the set of points in an Edgeworth box diagram where both parties involved in a trade cannot be made better off without making one of them worse off. It represents the Pareto efficient allocations of goods between two individuals or entities, where neither p
Cornelius
In economics, the contract curve refers to the set of points in an Edgeworth box diagram where both parties involved in a trade cannot be made better off without making one of them worse off. It represents the Pareto efficient allocations of goods between two individuals or entities,
Cornelius
Suppose a consumer consuming two commodities X and Y has The following utility function u=X0.4 Y0.6. If the price of the X and Y are 2 and 3 respectively and income Constraint is birr 50. A,Calculate quantities of x and y which maximize utility. B,Calculate value of Lagrange multiplier. C,Calculate quantities of X and Y consumed with a given price. D,alculate optimum level of output .
Feyisa Reply
Answer
Feyisa
c
Jabir
the market for lemon has 10 potential consumers, each having an individual demand curve p=101-10Qi, where p is price in dollar's per cup and Qi is the number of cups demanded per week by the i th consumer.Find the market demand curve using algebra. Draw an individual demand curve and the market dema
Gsbwnw Reply
suppose the production function is given by ( L, K)=L¼K¾.assuming capital is fixed find APL and MPL. consider the following short run production function:Q=6L²-0.4L³ a) find the value of L that maximizes output b)find the value of L that maximizes marginal product
Abdureman
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Source:  OpenStax, Sustainability: a comprehensive foundation. OpenStax CNX. Nov 11, 2013 Download for free at http://legacy.cnx.org/content/col11325/1.43
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