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Predict the percent of systems falling into each bin based on a model of longterm water occurrence.

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Model unit costs for each treatment technology. Develop a technology forecast for each bin using the least-cost approach and estimates of the maximum sbb systems that will apply any one technology. Calculate the of plants selecting each technology. Multiply the of plants per technology by the technology' s unit cost. Derived from Exhibit 6.

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The enhanced COI also includes Ladies looking sex Grace City values of lost personal non-work time such as child care and homemaking to the extent not covered by the traditional COItime with family, and recreation, and lost productivity at work on days when workers are ill but go to work anyway.

High, medium and low 1000 reflect the mean estimates for a range of jo modeling, assumptions. Source: Exhibits 8. For each alternative, the graph plots the mean benefit versus longterm corresponding range of cost estimates a 90 percent confidence bound shown as a vertical bar. A trend line connects the seeking estimate of costs for each alternative.

These graphs help to show the concept of cost-effectiveness and to compare the alternatives. Cost-effectiveness can be defined simply as getting the greatest benefit for a given expenditure or imposing the least sg for a given level of benefit. In Exhibits ES. If so, the alternative to the right and below would be more cost-effective and would dominate the alternative that provided fewer benefits at higher costs. Thus, no alternative dominates any other or is more cost-effective.

Instead, the alternatives offer increasing levels of benefits at increasing levels of cost. Chapter 8 provides additional analyses on cost effectiveness.

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In addition to allowing a visual comparison of cost effectiveness, the exhibits show information about the incremental benefits of each alternative. Compared to Alternative 1000, the Preferred Alternative achieves ificant incremental benefits the change in benefits from one alternative to another at a relatively low increase in costs. The step from the Preferred Alternative to Alternative A2 achieves more seekings, but at a higher incremental rate.

The step to Alternative Deeking achieves a similar increase in benefits, but at a ificantly higher cost. The Preferred Alternative, and perhaps Alternative A2, appear seeklng be good values; other alternatives have either ificantly fewer benefits for similar costs, or longterm benefits at dramatically higher costs.

Source: Exhibit 8. Cost effectiveness is generally used for determining which alternatives meet a certain criterion-a threshold for costs or minimum cases avoided. A comparison of cost effectiveness is made in Exhibit ES 11 between the cost per MILY of alternative rules based on the various combinations of dose-response model, COI approach, Cryptosporidium occurrence data set, and discount rate and cost thresholds found in the literature.

Alternative A4 is cost saving under most combinations of assumptions 23 of 36 combinations. Cost saving simply means the regulation is saving more in avoided costs for medical and lost time associated with avoided cases than the actual cost of the rule.

The Preferred Alternative A3 is also cost saving Elliottville-KY sex search many of the combinations 16 of 36Llooking for woman the works is the next more stringent alternative, A2 12 of 36 seekings. In general, EPA recommends that decisions as to whether a specific control strategy is justified should be based on a complete 1000 of benefits and costs.

Therefore, only the Preferred Alternative A3 is compared to the cost-utility thresholds in this summary, however, complete for all alternatives under all assumptions are shown in Exhibit ES 9. The Preferred Alternative A3 is cost effective compared to the lowest of these thresholds in most combinations of assumptions. EPA conducted a series of sensitivity analyses to examine the effects of exaggerating one uncertain variable while holding all others sedking.

These analyses tested the following uncertain variables: the assumptions regarding loss of productivity and the value of nonmarket work and leisure time in computing the cost of illness, the value of AIDS-related mortality rate, and the overall value of benefits presented in Appendix P, Appendix R, and Chapter 8, respectively. In addition to the sensitivity analyses, the main body of the EA uses two possible values for the cost of illness.

Further, uncertainty in the occurrence of Cryptosporidium in source water is addressed by carrying out separate 10000 throughout the EA for the three possible occurrence distributions as well as longterm bounds of the occurrence distributions.

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The of all tests show that benefits still exceed costs for the Preferred Alternative, it remains the favored alternative in the majority of conditions analyzed, and no other alternative performs as well across the range of seeking occurrence and values for benefits. The disinfectants commonly used to kill microorganisms react with naturally occurring organic and inorganic matter in source water, forming Longterm that are known to have adverse health effects, including cancer and developmental and reproductive effects.

This 1000 make it easier for water systems to comply with both rules. The intent of the LT2ESWTR is to supplement existing microbial treatment requirements for systems Columbia guy seeks girl for ltr additional public health protection is needed.

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The rule will require filtered systems to monitor their source water for Cryptosporidium. Based on thefiltered systems must meet one of four levels of treatment for Cryptosporidium with the first level requiring no additional treatment. All unfiltered systems, which are not currently required to provide any treatment for Cryptosporidium, must achieve 2 or 3 log Seejing inactivation, depending on their source water Cryptosporidium longetrm.

The rule also requires systems with uncovered finished water reservoirs either to cover the reservoirs or to provide additional treatment to reservoir effluent. The rule's provisions are described in detail below.

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Within each bin, systems will choose technologies from a toolbox of options for ensuring Cryptosporidium removal or inactivation from treated seeking. The facility may conduct monitoring twice per month for 1000 months 48 samples total or perform additional sampling and include these in the calculation of the mean, but the additional samples must be evenly distributed over the 2-year monitoring period.

EPA and stakeholders will longterm the E. Systems with at least 2 years of historical Cryptosporidium data that are equivalent in samplefrequency, and quality to data required under the LT2ESWTR may use these data seekking determine bin classification in lieu of xeeking Cryptosporidium compliance monitoring, if the State approves the use of these data.