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Environmental severity index

In order to remedy the deficiencies in the CDA scheme, Battelle Memorial Institute has been tasked to monitor the atmospheric corrosivity of air force and other sites worldwide [23]. The database describing the relative corrosive severity levels of different locations and actual corrosion rates of a variety of metals has now grown to more than 100 sites worldwide. The metals included in that study are three aluminum alloys (A92024, A96061, and A97075), copper, silver, and steel. [Pg.358]

Data have been collected for metals directly exposed to the outdoor environment in a standard sample mounting configuration [Pg.358]


After a process flowsheet has been established, it is appropriate for a detailed environmental impact evaluation to be performed. The end result of the impact evaluation will be a set of environmental metrics (indexes) representing the major environmental impacts or risks of the entire process. A number of indexes are needed to account for potential damage to human health and to several important environmental compartments. [Pg.245]

Air quality indexes have been devised for categorizing the air quality measurements of several individual pollutants by one composite number. The index used by the U.S. Environmental Protection Agency is called the Pollutant Standards Index (PSl) (Table 4-6). [Pg.59]

Various liquid chromatographic techniques have been frequently employed for the purification of commercial dyes for theoretical studies or for the exact determination of their toxicity and environmental pollution capacity. Thus, several sulphonated azo dyes were purified by using reversed-phase preparative HPLC. The chemical strctures, colour index names and numbers, and molecular masses of the sulphonated azo dyes included in the experiments are listed in Fig. 3.114. In order to determine the non-sulphonated azo dyes impurities, commercial dye samples were extracted with hexane, chloroform and ethyl acetate. Colourization of the organic phase indicated impurities. TLC carried out on silica and ODS stationary phases was also applied to control impurities. Mobile phases were composed of methanol, chloroform, acetone, ACN, 2-propanol, water and 0.1 M sodium sulphate depending on the type of stationary phase. Two ODS columns were employed for the analytical separation of dyes. The parameters of the columns were 150 X 3.9 mm i.d. particle size 4 /jm and 250 X 4.6 mm i.d. particle size 5 //m. Mobile phases consisted of methanol and 0.05 M aqueous ammonium acetate in various volume ratios. The flow rate was 0.9 ml/min and dyes were detected at 254 nm. Preparative separations were carried out in an ODS column (250 X 21.2 mm i.d.) using a flow rate of 13.5 ml/min. The composition of the mobile phases employed for the analytical and preparative separation of dyes is compiled in Table 3.33. [Pg.496]

Both U.S. and international chemical manufacturers must comply with state and local environmental regulations, some of which may be more severe than federal regulations. This is a convenient index to state agencies in the United States and its territories. [Pg.357]

The solvent parameter and property values used in this method were estimated from several industrial and professional sociehes and government sources. The environmental index for each of the twelve parameters is calculated and normalized on a zero-to-one scale [1]. Depending on whether high or low values for the parameters prove to be greener , Equation 3.7 or Equation 3.8 is used, respectively. In Equations 3.7 and 3.8, x in and x ax are the minimum and maximum value of a specific parameter for all solvents contained within the Solvent Greenness Scoring Index database, Xj is the value of a parameter for solvent i, and Mj is the scaled value of metric M for solvent i [1]. [Pg.71]

An index of toxicity is intended to be a simple tool that allows integrating and summarizing several variables into a single value. Realistically, this cannot be inferred without a judgement by environmental protection experts who consider all parameters available for their classification. PLS regression helped calculate an index fitted to expert judgement. The loss of information owing to the transformation of a multivariate situation to a univariate one was thus minimized since it is an inherent characteristic of multivariate analytical tools. [Pg.112]

A precursor to a toxicity index is the common use of tests to rank environmental samples or hazardous sites according to the severity of the toxic responses. Toxicity ranking defines priority for action on the most toxic effluents or contaminated sites. Ranking the samples can become complicated if toxicity has been measured with several tests that produced variations in rank. Joining the responses into a toxicity index would express potential hazard in a single number. [Pg.105]

An index based on the sum or average of bioassay end-points is the simplest to devise. In some instances it may be desirable to combine tests of acute lethality with sublethal tests in order to include a spectrum of organisms and/or responses. Indices are easier to construct if toxicity end-points are first translated into toxic units. The numerical values then can be summed like the chemical properties of a sample. An alternative would be to classify results on an ordinal scale (e.g. 0-10) based on the observed severity of effect. The approach is more subjective, but at least it incorporates expert judgement that should enter the assessment of data at some point. A ranking scale allows any kind of environmental measurement to be included in the index. [Pg.105]


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See also in sourсe #XX -- [ Pg.358 , Pg.359 , Pg.360 ]




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Environmental indices

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