Aerobic residential onsite sewage systems: an evaluation of treated-effluent quality.Introduction Aerobic aerobic /aer·o·bic/ (ar-o´bik) 1. having molecular oxygen present. 2. growing, living, or occurring in the presence of molecular oxygen. 3. requiring oxygen for respiration. 4. treatment unit (ATU (ADSL Transceiver Unit) A device that provides ADSL modulation of the telephone line. The device at the telco side is the ATU-C (Central), which is a line card plugged into the DSLAM. ) systems are becoming more prevalent in the state of Washington because the better-drained lots have been developed, leaving only lots with more poorly drained soils available for development. In addition, amendments made in 1995 to the State Board of Health On-Site Sewage Sewage Water-carried wastes, in either solution or suspension, that flow away from a community. Also known as wastewater flows, sewage is the used water supply of the community. It is more than 99. Regulations, Chapter 246-272 WAC WAC (Women's Army Corps), U.S. army organization created (1942) during World War II to enlist women as auxiliaries for noncombatant duty in the U.S. army. Before 1943 it was known as the Women's Auxiliary Army Corps (WAAC). Its first director was Oveta Culp Hobby. , restrict the installation of standard gravity Standard gravity, usually denoted by g0 or gn, is the nominal acceleration due to gravity at the Earth's surface at sea level. By definition it is equal to exactly 9.80665 m·s−2 (approx. 32.174 ft·s−2). onsite sewage systems sewage system Collection of pipes and mains, treatment works, and discharge lines (sewers) for the wastewater of a community. Early civilizations often built drainage systems in urban areas to handle storm runoff. in the state to lots that have a minimum of 2 feet of soil available above the water table or an impervious im·per·vi·ous adj. 1. Incapable of being penetrated: a material impervious to water. 2. Incapable of being affected: impervious to fear. layer (e.g., clay or hardpan hardpan, condition of the soil or subsoil in which the soil grains become cemented together by such bonding agents as iron oxide and calcium carbonate, forming a hard, impervious mass. ). Much of the undeveloped area of Kitsap County has either a high water table or a clay or hardpan soil that prohibits installation of conventional gravity onsite sewage systems, leaving alternative onsite systems as the only choice. The most common reasons aerobic systems are used are that there is not enough land area to accommodate the soil absorption, that soil conditions are not appropriate, or that the water table is too high to allow adequate treatment of the wastewater in the drainfield before the water is released to the groundwater. Another site-related concern is the existence of lots close to surface water. One of the most common reasons that aerobic wastewater treatment units are chosen is to replace failing septic septic /sep·tic/ (sep´tik) pertaining to sepsis. sep·tic adj. 1. Of, relating to, having the nature of, or affected by sepsis. 2. systems. In Chapter 246-272 WAC, the Washington State of Board of Health On-site Sewage Regulations allow placement of ATUs within 100 feet or less of domestic drinking-water supplies (Washington State Board of Health, 1995) because ATUs can treat sewage effluent effluent waste from an abattoir carried away in liquid form. Disposal is a major problem because of the need to avoid pollution of waterways. See aerobic effluent treatment, anaerobic effluent treatment. to a higher standard than a conventional gravity onsite sewage system. In Section 15501 of 246-272 WAC, the regulations require that the local health officer provide operation and maintenance information to homeowners of onsite sewage systems, and initiate periodic monitoring of each onsite sewage system. This mandate, however, is unfunded (i.e., though it is a state regulation, no funding mechanism is provided to carry out the requirement). Many local health jurisdictions only provide informational material and do not require homeowners to submit results from effluent testing. Methods The study sample consisted of 184 residences with onsite ATUs in Kitsap County, Washington Kitsap County is a county located in the U.S. state of Washington, named after Chief Kitsap of the Suquamish tribe. As of 2000, its population is 231,969. Its county seat is at Port Orchard, and its largest city is Bremerton. , with at least one effluent sample reported to the Bremerton-Kitsap County Health District during 1995 through 1999. A total of 781 effluent sample results were reported from these onsite ATU sewage systems. The three brand-name ATUs of interest were: MultiFlo[TM], Norweco[TM], and Whitewater[TM]. The data for this study came from annual operation and maintenance reports that were submitted to the health district. These data included name and address of property owner, type of ATU, tax parcel number, installation date, and results of five-day biochemical oxygen demand biochemical oxygen demand: see sewerage. (BO[D.sub.5]), total suspended solids Total suspended solids is a water quality measurement usually abbreviated TSS. This parameter was at one time called non-filterable residue (NFR), a term that refers to the identical measurement: the dry-weight of particles trapped by a filter, typically of a (TSS See ITU. ), and fecal-coliform testing. The underlying population comprises all the residences with an ATU in Kitsap County, including those for which no effluent test results were reported to the Bremerton-Kitsap County Health District. The extent of non-reporting is not known, and the size of the population could not otherwise be determined. Analysis of Data The analysis of data included descriptive evaluation of the effluent measurements and independent variables (i.e., type of ATU, as well as season, day of week, and time of day of sample collection). A comparison of effluent measurements for the ATUs followed, using group means, t-tests, and one-way analysis of variance (ANOVA anova see analysis of variance. ANOVA Analysis of variance, see there ). The authors used analysis of covariance Covariance A measure of the degree to which returns on two risky assets move in tandem. A positive covariance means that asset returns move together. A negative covariance means returns vary inversely. to compare ATUs while controlling for possible confounding confounding when the effects of two, or more, processes on results cannot be separated, the results are said to be confounded, a cause of bias in disease studies. confounding factor factors associated with the independent variables. Finally the sample results were compared with both state and national standards to assess compliance with these requirements. Results Almost half (45 percent) of the ATUs in the study sample were Whitewater units. MultiFlo units were the next most common (31 percent), followed by Norweco (22 percent). Most (77 percent) of the ATUs were no more than 12 months old at the time of sampling. The Multi-Flo and Whitewater ATUs were about twice as likely (42 percent and 31 percent, respectively) to be very new (i.e., newer than six months at first sampling) as were the Norweco ATUs (18 percent). The installation dates were not documented for all sites; dates were readily available, however, for 102 (83.7 percent) of the 184 sites. The age of each system was calculated as the time between the first sampling event and the installation date, if an installation date was known. Effluent Samples Several state-certified laboratories were involved in analysis of the effluent samples. The samples were analyzed an·a·lyze tr.v. an·a·lyzed, an·a·lyz·ing, an·a·lyz·es 1. To examine methodically by separating into parts and studying their interrelations. 2. Chemistry To make a chemical analysis of. 3. in accordance Accordance is Bible Study Software for Macintosh developed by OakTree Software, Inc.[] As well as a standalone program, it is the base software packaged by Zondervan in their Bible Study suites for Macintosh. with methods described in Standard Methods for the Examination of Water and Wastewater Analysis (Lenore & Greenberg, 1998). A total of 781 non-chlorinated effluent samples were collected, of which 38 percent were analyzed for both BO[D.sub.5] and TSS, and 24 percent were analyzed for fecal coliforms Fecal coliforms (sometimes faecal coliforms) are facultatively-anaerobic, rod-shaped, gram-negative, non-sporulating bacteria. They are capable of growth in the presence of bile salts or similar surface agents, oxidase negative, and produce acid and gas from lactose within (FC). For all three effluent parameters, some results were high; however, county laboratory personnel indicated that these results were within the range of plausibility plau·si·ble adj. 1. Seemingly or apparently valid, likely, or acceptable; credible: a plausible excuse. 2. Giving a deceptive impression of truth or reliability. 3. . Because the effluent data were skewed skewed curve of a usually unimodal distribution with one tail drawn out more than the other and the median will lie above or below the mean. skewed Epidemiology adjective Referring to an asymmetrical distribution of a population or of data toward higher values, the data were transformed logarithmically log·a·rithm n. Mathematics The power to which a base, such as 10, must be raised to produce a given number. If nx = a, the logarithm of a, with n as the base, is x; symbolically, logn a = x. to yield a more nearly symmetric No difference in opposing modes. It typically refers to speed. For example, in symmetric operations, it takes the same time to compress and encrypt data as it does to decompress and decrypt it. Contrast with asymmetric. (mathematics) symmetric - 1. or normal distribution when necessary for data analysis. Relationship of BO[D.sub.5], TSS, and Log FC Bivariate bi·var·i·ate adj. Mathematics Having two variables: bivariate binomial distribution. Adj. 1. associations were examined with the Pearson correlation coefficient Correlation Coefficient A measure that determines the degree to which two variable's movements are associated. The correlation coefficient is calculated as: to see if there was any linear association among the effluent parameters. A high degree of correlation between log BO[D.sub.5] and log TSS was found (r = .8, p < .001). Each of these parameters showed a weaker but still statistically significant correlation with log FC (for each pair, r = .5, p < .001). Differences in Effluent Quality, ATU Type, and Sample Timing On average, effluent from Multi-Flo units was of better quality than that from units of the other two types (Table 1). One-way ANOVA found significant differences among the three ATU types for each of the three effluent parameters (for each parameter (1) Any value passed to a program by the user or by another program in order to customize the program for a particular purpose. A parameter may be anything; for example, a file name, a coordinate, a range of values, a money amount or a code of some kind. , p < .001). Some of the effluent parameters also showed significant differences depending on when the samples were collected. The values for log BO[D.sub.5] and log FC differed significantly by the season, with lug (1) (Linux Users Group) A formal or informal organization of Linux users who gather together virtually or in person to exchange information and resources. Some groups maintain mailing lists and send out newsletters for their members. BO[D.sub.5] tending to be lowest in samples collected during the winter and log FC tending to be highest in fall samples. Values for log BO[D.sub.5] and log FC also tended to be lower in samples collected in the first half of the week. No pattern relative to season or day of the week was evident for log TSS values. In the small number of samples for which time of day was noted, however, log TSS values generally were lower for samples collected in the early afternoon than for samples collected in the morning. Multivariate Analysis multivariate analysis, n a statistical approach used to evaluate multiple variables. multivariate analysis, n a set of techniques used when variation in several variables has to be studied simultaneously. The authors used analysis of covariance to evaluate the differences among the ATUs for each of the three effluent parameters while controlling tot possible differences arising from when samples were collected. The analysis did not include the time of day, because this information was available for only a fraction of the samples. The B values in Table 2 represent the difference between the average value for a specified category (e.g., Norweco ATU) and the average value for the corresponding reference category (i.e., Whitewater ATU) on a logarithmic scale Noun 1. logarithmic scale - scale on which actual distances from the origin are proportional to the logarithms of the corresponding scale numbers graduated table, ordered series, scale, scale of measurement - an ordered reference standard; "judging on a scale of 1 , with the other variables shown in the table being controlled for. The reference categories were chosen arbitrarily and were assigned as·sign tr.v. as·signed, as·sign·ing, as·signs 1. To set apart for a particular purpose; designate: assigned a day for the inspection. 2. a relative value of 0 (because a reference category does not differ from itself). Table 2 also shows 95 percent confidence intervals confidence interval, n a statistical device used to determine the range within which an acceptable datum would fall. Confidence intervals are usually expressed in percentages, typically 95% or 99%. (95 percent CIs) in parentheses See parenthesis. parentheses - See left parenthesis, right parenthesis. for each value; the difference between a B value and its reference value is statistically significant (i.e., p < .05) if the 95 percent CI does not include zero. The effluent samples were collected between spring 1995 and fall 1999. Over a quarter (28 percent) of the samples were taken during the months of December and January, and samples were taken next most frequently in June and July (22 percent). The majority of the effluent samples were collected during four time periods: summer 1997 (13 percent), winter 1998 (15 percent), fall 1998 (10 percent), and winter 1999 (11 percent). Overall, more than one-third (37 percent) of the samples were collected during the winter season, and less than one-quarter (17 percent) were collected in the spring. The most common sampling day was Thursday (60 percent), followed by Tuesday (21 percent). Very few samples were collected on Saturday or Sunday (0.6 percent and 0.9 percent, respectively). Sample collection times were available for only 85 samples; of these, 81 percent were taken in the morning. The multivariate analysis delineated de·lin·e·ate tr.v. de·lin·e·at·ed, de·lin·e·at·ing, de·lin·e·ates 1. To draw or trace the outline of; sketch out. 2. To represent pictorially; depict. 3. in Table 2 found that the Multi-Flo ATU had significantly lower log BO[D.sub.5], log TSS, and log FC values than did the Whitewater ATU, while controlling for possible differences arising from sample collection times. The quality of effluent from the Norweco and Whitewater ATUs did not, however, significantly differ. Regardless of ATU type, the log BO[D.sub.5] values generally were lower in samples collected during summer, fall, and winter months than in samples collected in the spring. These differences, however, were statistically significant only for winter samples compared with spring samples. Conversely con·verse 1 intr.v. con·versed, con·vers·ing, con·vers·es 1. To engage in a spoken exchange of thoughts, ideas, or feelings; talk. See Synonyms at speak. 2. , the log FC counts generally were higher during the nonspring months, although the difference was statistically significant only for samples collected in summer and fall. The seasonal variation in effluent quality was not uniform across the different types of ATUs (Table 3). Winter was chosen as the reference season for the model examining seasonal variation because samples collected in the winter tended to show the least variation by ATU and the three sewage parameters. When only the records for samples collected during winter were considered, no significant difference was found between Whitewater ATUs in the regression regression, in psychology: see defense mechanism. regression In statistics, a process for determining a line or curve that best represents the general trend of a data set. models for log BO[D.sub.5], log TSS, and log FC. The Multi-Flo ATU, however, did have log BO[D.sub.5] values that differ significantly from those of the other two types. To further investigate how much difference there was among the ATUs, Multi-Flo ATUs were chosen as the reference for the models examining ATU variance across the different seasons because samples collected from the Multi-Flo ATUs tended to show the least variation by season for the three sewage parameters (Figure 1, Figure 2, Figure 3). When only the records for samples collected from Multi-Flo ATUs were considered, the regression models for spring, summer, and fall found no significant difference among the seasons. Samples from the Whitewater and Norweco ATUs did, however, significantly differ from Multi-Flo samples for the season winter. [FIGURES 1-3 OMITTED] Comparison with Standards Overall, the performance of the ATUs in this study failed to consistently meet either state or national effluent standards (Table 4). Discussion This population-based study of residential onsite ATUs in one Pacific Northwest county found that over a third of the ATUs failed to meet NSF NSF - National Science Foundation certification standards for BO[D.sub.5] and TSS in effluent (<30 mg/L). In addition, over two-thirds of the ATUs failed to meet the Washington State Board of Health Treatment Standard 2 criteria for BO[D.sub.5] and TSS (<10 mg/L), and a majority of the systems (59 percent) failed to meet state standards for fecal fecal /fe·cal/ (fe´k'l) pertaining to or of the nature of feces. fe·cal adj. Relating to or composed of feces. fecal pertaining to or of the nature of feces. coliform coliform /col·i·form/ (kol´i-form) pertaining to fermentative gram-negative enteric bacilli, sometimes restricted to those fermenting lactose, e.g., Escherichia, Klebsiella, or Enterobacter. (<800 fecal coliforms per 100 mL). The high prevalence of substandard substandard, adj below an acceptable level of performance. performance is particularly remarkable when it is recognized that most (77 percent) of the systems were not even one year old at the time of sampling. The results of this study generally agree with those of previous studies and demonstrate that many systems actually in use do not produce an effluent that meets local or state standards. This study found only 36 percent of the systems tested produced an effluent that met the BO[D.sub.5] Treatment Standard 2 of less than 10 mg/L. While many studies also found generally high BO[D.sub.5] effluent levels (Brewer, Lucas, & Prascak, 1978; Hutzler, Fancy, & Waldorf, 1978; Kellam, Hagedorn, & Reneau, 1993), some studies have found that the systems perform well (Island County Health Department, 1999; Mancl & Vollmer, 2001). Similarly, TSS levels were high in many cases, with only 39 percent meeting the Treatment Standard 2 of less than 10 mg/L. Again, this result is consistent with those of other studies, which also found generally high TSS levels in effluent (Brewer, Lucas, & Prascak, 1978; Hutzler, Fancy, & Waldorf, 1978; Kellam, Hagedorn, & Reneau, 1993; Mancl & Vollmer, 2001), but it is in contrast with the findings of one study that found only 8 percent BO[D.sub.5] and 15 percent of TSS sampling results not in compliance with Treatment Standard 2 requirements (Island County Health Department, 1999). The systems tested in this study may have performed worse because of influent in·flu·ent adj. Flowing in or into. n. 1. An inflow, especially a tributary. 2. Ecology A nondominant organism in a community that exerts an important modifying effect. waste strength or hydraulic overloading In programming, the ability to use the same name for more than one variable or procedure, requiring the compiler to differentiate them based on context. (language) overloading - (Or "Operator overloading"). by homeowners. This deficiency in performance is particularly remarkable given that the ATUs were examined early in their life span. This study also found that only 38 percent of the tested systems produced an effluent that met the Treatment Standard 2 requirement of less than 800 fecal coliforms per 100 mL. Three other studies found that 35 percent (Kellam, Hagedorn, & Reneau, 1993), 36 percent (Mancl & Vollmer, 2001), and 55 percent (Island County Health Department, 1999) of the fecal-coliform results met their respective state requirements. Overall, effluent quality varied significantly by type of system. Multi-Flo units generally had better effluent quality for BO[D.sub.5], TSS, and fecal coliform than did units of the other two types, while the Whitewater and Norweco units generally were comparable. By contrast, the only other study that evaluated the same brands of ATUs found a statistical difference in BO[D.sub.5] levels between Whitewater and Multi-Flo units and no statistical significance difference in TSS between the two types of unit (Island County Health Department, 1999). There were substantial seasonal variations in effluent quality, especially for BO[D.sub.5]. Generally, higher levels of BO[D.sub.5] were found in spring, and lower fecal-coliform counts were found in winter. Effluent quality also varied by day of week on which samples were analyzed; analysis that occurred later in the week was significant for BO[D.sub.5] and fecal coliforms, with the majority of the samples analyzed either on a Tuesday or Thursday. Performance differed somewhat by season, with winter having the best effluent quality and fall having the worst. The only other study that could be found that evaluated the effect of seasonal variation found no overall trends (Kellam, Hagedorn, & Reneau, 1993). Grab samples Noun 1. grab sample - a single sample or measurement taken at a specific time or over as short a period as feasible sample - a small part of something intended as representative of the whole have more limited accuracy, characterizing ATU performance at one point in time, than do samples collected over a longer period of time (e.g., 24 hours). The accuracy of grab samples, however, is sufficiently acceptable for the method to be used routinely by regulatory agencies regulatory agency Independent government commission charged by the legislature with setting and enforcing standards for specific industries in the private sector. The concept was invented by the U.S. to monitor and evaluate ATU performance in the field. This study used the data available in the existing database of a regulatory agency, allowing the authors to evaluate the performance of a large number of ATUs of several types in a large geographic region. Future studies should consider using longer sample collection periods. Although ATUs are certified See certification. through NSF according to according to prep. 1. As stated or indicated by; on the authority of: according to historians. 2. In keeping with: according to instructions. 3. a rigorous testing protocol, the results obtained during such testing do not appear to be reflective Refers to light hitting an opaque surface such as a printed page or mirror and bouncing back. See reflective media and reflective LCD. of in-the-field results found by this and other studies. Currently no active programs require periodic monitoring of effluent quality from ATUs in the state. The findings of this study indicate that performance monitoring should be ongoing to evaluate not only the initial performance, typically called the design life (Jantrania, 1998), but also the long-term performance of the units. One would have expected to see better results from newer ATUs than from older units, but that was not the case here. If one accepts that the state treatment standard is reasonable, then the findings of this study bring into question both the reliability of ATUs for routine residential use and the reduction of the horizontal separation requirement to within 100 feet of drinking-water supplies. Reduction of regulatory horizontal separation criteria based on treatment of effluent is not advisable ad·vis·a·ble adj. Worthy of being recommended or suggested; prudent. ad·vis a·bil until effluent standards are enforceable.
The use of ATUs will continue as the availability of better-drained lots diminishes, leaving poorly drained soils for development. This study could not evaluate many factors that influence effluent quality; however, it is significant that effluent from ATUs analyzed in this research did not meet state or national requirements more than 60 percent of the time and that most of the systems were no more than 12 months old at the time of sampling. As ATUs become more prominent in the state of Washington, efforts are needed to improve their performance. The authors recommend that the following measures be considered: * more in-the-field evaluations of influent waste strength and how this factor affects the performance of the ATUs, * improvement of homeowners' knowledge about their systems, * operation and maintenance agreements that would require periodic effluent sampling and testing (as well as allow maintenance and operating personnel to troubleshoot To find out why something does not work and to fix the problem. Troubleshooting a computer often requires determining whether the problem is due to malfunctioning hardware or buggy or out-of-date software. See debug. performance problems), and * more frequent (i.e., more frequent than semiannual Semiannual An event that occurs twice in a calendar year. Notes: A bond with semiannual coupons would issue payment once every six months. See also: Annual, Bond, Coupon Bond ) operation and maintenance inspections to minimize malfunctions and assist in homeowner education.
TABLE 1
ATU Type and Effluent Characterization
Non-chlorinated Log BO[D.sub.5] Log TSS
Samples
ATU type n = 275 n = 267
Multi-Flo 0.8 [+ or -] 0.7 * 0.9 [+ or -] 0.7
Whitewater 1.4 [+ or -] .5 1.3 [+ or -] 0.6
Norweco 1.5 [+ or -] .4 1.3 [+ or -] 0.6
Significance ** p < .001 p < .001
Season n = 281 n = 273
Winter 1.0 [+ or -] 0.7 * 1.2 [+ or -] 0.7
Spring 1.5 [+ or -] 0.6 1.2 [+ or -] 0.7
Summer 1.3 [+ or -] 0.6 1.2 [+ or -] 0.7
Fall 1.3 [+ or -] 0.6 1.4 [+ or -] 0.6
Significance ** p <.001 p <.26
Day of week n = 273 n = 265
MTuW 1.4 [+ or -] 0.7 * 1.3 [+ or -] 0.8
ThF 1.2 [+ or -] 0.6 1.2 [+ or -] 0.6
Significance ** p < .02 p <.09
Time of day n = 85 n = 83
Morning 1.1 [+ or -] 0.6 * 1.2 [+ or -] 0.7
Afternoon 0.8 [+ or -] 0.8 0.8 [+ or -] 0.8
Significance ** p < .12 p < .03
Non-chlorinated Log FC
Samples
ATU type n = 169
Multi-Flo 2.1 [+ or -] 1.1
Whitewater 3.2 [+ or -] 1.3
Norweco 2.8 [+ or -] 0.7
Significance ** p < .001
Season n = 173
Winter 2.6 [+ or -] 1.2
Spring 2.7 [+ or -] 1.3
Summer 2.9 [+ or -] 1.3
Fall 3.4 [+ or -] 1.1
Significance ** p <.04
Day of week n = 168
MTuW 3.2 [+ or -] 1.6
ThF 2.7 [+ or -] 0.9
Significance ** p <.01
Time of day n = 39
Morning 2.5 [+ or -] 1.0
Afternoon 2.1 [+ or -] 0.7
Significance ** p < .20
* Mean and ([+ or -]) standard deviation.
** One-way ANOVA.
TABLE 2
Differences in ATU Effluent Quality, Adjusted for When Samples
Were Collected
Main Effects Log BO[D.sub.5] Log TSS
B 95% CI B 95% CI
ATU
Norweco .19 (-0.00, 0.38) -.03 (-0.19, 0.25)
Multi-Flo -.47 (-0.65, -0.30) -.31 (-0.51, -0.18)
Whitewater 0 0
Season
Winter -.23 (-0.44, -0.002) -.07 (-0.12, 0.31)
Summer -.14 (-.36, 0.08) -.01 (-0.26, 0.24)
Fall -.13 (-0.35, 0.01) .16 (-0.09, 0.42)
Spring 0 0
Day of Week
M-W .11 (-0.06, 0.27) .01 (-0.09, 0.28)
Th-F 0 0
Main Effects Log FC
B 95% CI
ATU
Norweco -.29 (-0.81, 0.23)
Multi-Flo -1.0 (-1.5, -0.60)
Whitewater 0
Season
Winter .36 (-0.24, 0.95)
Summer .75 (0.13, 1.4)
Fall .74 (0.01, 1.4)
Spring
Day of Week
M-W .44 (-0.06, 0.82)
Th-F 0
0 = reference category.
95% CI = 95% confidence interval.
TABLE 3
Seasonal Variation in ATU Performance
Interaction Log BO[D.sub.5] Log TSS
B 95% CI B 95% CI
Multi-Flo
Spring .42 (0.21, 0.64) .06 (-0.18,0.29)
Summer .24 (0.05, 0.43) .02 (-0.18, 0.23)
Fall .32 (0.11, 0.52) .21 (-0.01, 0.43)
Winter 0 0
Norweco
Spring .47 (0.06, 0.88) -.71 (-1.2, -0.20)
Summer -.07 (-0.37, 0.23) -.40 (-0.78, -0.03)
Fall .23 (-0.08, 0.54) .02 (-0.37, 0.40)
Winter 0 0
Whitewater
Spring .12 (-0.15, 0.39) .03 (-0.29, 0.35)
Summer -.02 (-0.27, 0.24) -.09 (-0.40, 0.22)
Fall -.05 (-0.30, 0.21) -.03 (-0.34, 0.27)
Winter 0 0
Interaction Log FC
B 95% CI
Multi-Flo
Spring .10 (-0.50, 0.69)
Summer .28 (-0.17, 0.73)
Fall .74 (0.24, 1.3)
Winter 0
Norweco
Spring -1.8 (-2.1, -0.88)
Summer -.49 (-1.1, 0.10)
Fall -.19 (-0.81, 0.43)
Winter 0
Whitewater
Spring .01 (-0.77, 0.78)
Summer .14 (-0.47, 0.95)
Fall .39 (-0.28, 1.1)
Winter 0
0 = reference category.
95% CI = 95% confidence interval.
TABLE 4
Performance of ATUs Compared with State and National Standards
Percentage of Samples Exceeding Limits
Standard BO[D.sub.5]
NSF Standard [greater than or equal to]30 mg/L
Multi-Flo 12%
Whitewater 36%
Norweco 34%
Treatment Standard 2 [greater than or equal to]10 mg/L
Multi-Flo 28%
Whitewater 74%
Norweco 89%
Percentage of Samples Exceeding Limits
TSS
NSF Standard [greater than or equal to]30 mg/L
Multi-Flo 12%
Whitewater 34%
Norweco 28%
Treatment Standard 2 [greater than or equal to]10 mg/L
Multi-Flo 34%
Whitewater 71%
Norweco 75%
Percentage of Samples Exceeding Limits
Fecal Coliforms
per 100 mL
NSF Standard No standard
Multi-Flo N/A
Whitewater N/A
Norweco N/A
Treatment Standard 2 [greater than or equal to]800 Fecal
Multi-Flo 35%
Whitewater 74%
Norweco 69%
N/A = not applicable.
REFERENCES Brewer, W.S., Lucas, J., & Prascak, G. (1978). An evaluation of the performance of household aerobic sewage treatment Sewage treatment Unit processes used to separate, modify, remove, and destroy objectionable, hazardous, and pathogenic substances carried by wastewater in solution or suspension in order to render the water fit and safe for intended uses. units. Journal of Environmental Health, 41 (2), 82-85. Hutzler, N.J., Fancy, J., & Waldorf, L.E. (1978). Performance of aerobic treatment units. In Proceedings of the 2nd National Home Sewage Treatment Symposium symposium In ancient Greece, an aristocratic banquet at which men met to discuss philosophical and political issues and recite poetry. It began as a warrior feast. Rooms were designed specifically for the proceedings. (pp. 149-163). St. Joseph, MI: American Society of Agricultural Engineers. Island County Health Department (1999). Wastewater sampling assessment, Island County Special On-Site Demonstration Grant Program. Coupeville, WA: Author. Jantrania, A. (Virginia Department of Health, Division of On-site Sewage and Water Services.) (1998). Monitoring protocol for onsite systems, http://plymouth.ces.state.nc.us/septic/98jantra3 .html (14 Sept. 2000). Kellam, J., Boardman, G., Hagedorn, C., & Reneau, R. (1993). Evaluation of the performance of five aerated aer·ate tr.v. aer·at·ed, aer·at·ing, aer·ates 1. To supply with air or expose to the circulation of air: aerate soil. 2. package treatment systems. (Bulletin 178). Blacksburg, VA: Virginia Water
Lenore, C., Eaton, A., & Greenberg, A. (1998). Standard methods for the examination of water and wastewater (20th ed.). Washington, DC: American Public Health Association The American Public Health Association (APHA) is Washington, D.C.-based professional organization for public health professionals in the United States. Founded in 1872 by Dr. Stephen Smith, APHA has more than 30,000 members worldwide. . Mancl, K. & Vollmer, M. (2001). Management of individual mechanical sewage-treatment systems: How much is needed? Journal of Environmental Health, 63(9), 22-25. Washington State Board of Health (1995). Chapter 246-272 WAC: On-site sewage systems. In Rules and Regulations of the State Board of Health (pp. 11-13). Olympia, WA: Author. Corresponding Author: Meliss Maxfield, Water Quality Manager, Division of Drinking Water drinking water supply of water available to animals for drinking supplied via nipples, in troughs, dams, ponds and larger natural water sources; an insufficient supply leads to dehydration; it can be the source of infection, e.g. leptospirosis, salmonellosis, or of poisoning, e.g. , Washington State Department of Health, 7171 Cleanwater Lane, Building 3, Olympia, WA 98504. E-mail: meliss.maxfield@doh.wa.gov |
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