Taxonomy system

Table 1.3. Global extent of arid and semi-arid soils (km2) based on the Soil Taxonomy system) (after Monger et al., 2004)...

Rubin, J., Friedman, H. P., A Cluster Analysis and Taxonomy System for Grouping and Classifying Data, IBM Corporation, Scientific Center, New York, 1967. 

Except for the top soil where the colour caused by Fe oxides is often masked by hu-mics, most of the soil profile receives its brown, yellow or red colour from Fe oxides (Bigham Ciolkosz, 1993). Because this is so obvious to the naked eye, soils have been named according to colour in most national classification systems, e. g. red-yellow podzols (USA), sol ochreux (France), Braunerde (Germany), krasnozem (Russia), terra rossa (Italy), and even the current modern international systems (U.S. Soil Taxonomy system and World Reference Base for Soil Resources, WRB) use colour connotations such as Rhodic (red) and Xanthic (yellow). 

The final element of the equipment description is the equipment boundary figure. A boundary figure is included with each data cell to define the components and limits of the equipment associated with that cell. For example, the data cell boundary figure (Data cell 3.3.7.2.1.1) in Figure 3.2 shows that the centrifugal pump, seal system, motor, motor control unit, lube oil system, coupling, and transmission are all components of the equipment in the data cell. The equipment boundary is inherently reflected in the taxonomy number. 

As explained in Section 3.3, failure rate data for a piece of equipment or system can be located by the taxonomy number for the equipment. The number can be found by using the CCPS Taxonomy, Appendix A, or the alphabetized hardware list in the Equipment Index, Appendix B. Table 5.2 shows whether the CCPS data base contains failure rate data for that numbered data cell or for an appropriate higher-level cell. Alternatively, the user may look directly for the desired taxonomy cell in the data tables. 

Taxonomy No. 3.2.1.1 Equipment Description PIPING SYSTEMS-METAL-STRAIGHT SECTIONS ... 

Taxonomy No. 4,2.3.2 Equipment Description PROTECTION SYSTEMS-FIRE- FIRE SUPPRESSION SYSTEMS-WATER ... 

It should be noted that the data collection and conversion effort is not trivial, it is company and plant-specific and requires substantial effort and coordination between intracompany groups. No statistical treatment can make up for inaccurate or incomplete raw data. The keys to valid, high-quality data are thoroughness and quality of personnel training comprehensive procedures for data collection, reduction, handling and protection (from raw records to final failure rates) and the ability to audit and trace the origins of finished data. Finally, the system must be structured and the data must be coded so that they can be located within a well-designed failure rate taxonomy. When done properly, valuable and uniquely applicable failure rate data and equipment reliability information can be obtained. 

The number and severity of failures experienced by the equipment under study must be related to the operations of the facility. It would be inappropriate to assign the same operating histories to a continuously operating system and a system that operates intermittently. The number of hours in different operating modes (for example, 100% production versus shutdown) affect failure rate calculation and service description for taxonomy definition. 

Once it is determined that data exist, the next step is to begin the collection process. If sufficient thought and training is provided in the development and operation of the maintenance and operating reporting systems, much of the collection process can be automated. Automation assumes that a well-thought-out taxonomy is in place. If this is not the case, then an analyst must collect and review the records manually. In either case, the analyst must collect data from the plant sources previously discussed in order to determine the numerator (number of failures within a unique plant equipment population), and denominator (the operating time or number of demands for the equipment) of the equation to calculate failure rates. 

Measures used to parameterise, or to limit, these component elements may vary between different t es of hazard and risk, between different components of the overall environment, or between different economic and cultural systems but the underpinning logic of the approach remains a transparent and potent taxonomy. 

The complete four-component system is necessary when the diagnostic requirement is rapid, low unit-cost analysis for both the strain-level characterization of pathogenic agents and identification of hoax bio-terror materials. Using the complete system, we are proposing to validate MS-based microbial taxonomy and to transfer the technology from an analytical research to a clinical or public health production-diagnosis environment. 

Soil Survey Staff. Soil taxonomy, a basic system of soil classification for making and interpreting soil surveys. U.S. Dept. Agric. Handbook, 436. Washington D.C. Soil Conserv Serv, 1975. 

We have dwelt on the semantics of AI and ES merely because of the current interest in such matters. However, we conclude this article by emphasizing the fact that EROS functions successfully as a tool to aid chemists, wherever it fits into the taxonomy of computer software. We believe that this is far more important than whether the system conforms, or not, to any particular definition of AI or ES. 

Two basic concepts are used in developing the naming of different soils. First is the idea that a soil s characteristics will determine which group it falls into and its name. Another idea is that soils will be related to a reference soil. In both cases, the natural soil horizons are used in the soil description. In Soil Taxonomy, horizons used for naming the soil are called diagnostic horizons. In the reference soils, the horizons are called reference horizons. The general concepts are similar in all systems, and so are many names for soil characteristics. The names are often descriptive in that they give an idea of the characteristic of the soil. 

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