New manual of seismological observatory practice (NMSOP) by Peter Bormann

By Peter Bormann

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The core Manual should be complemented by annexes of complementary information (Volume 2) which can stand alone. Some of these topics are too bulky or specific to be included in the body of the Manual while others may require more frequent updating than the thematic Manual chapters. Therefore, they should be kept separate and individualized. , event location or theory of source representation); others provide data about commonly-used Earth models, shareware for problem solving, seismic record examples, calibration functions for magnitude determination, widelyused sensors and their key parameters, or job-related exercises with solutions for specific observatory tasks such as phase identification, event location, magnitude estimation, fault-plane determination, etc.

The formal educational background of observatory personnel may be very different: Physicists, geologists, electronic or computer engineers, rarely geophysicists. Accordingly, the NMSOP tries to be comprehensible for people with different backgrounds, to stimulate their interest in interdisciplinary problems and to guide the development of the required practical skills. The method of instruction is mainly descriptive. , in the seismometry chapter. The NMSOP should, however, also be a contribution, at least in part, to public, high school and university education in the field of geosciences.

Aim and Scope of the IASPEI New Manual of Seismological Observ. Practice At the same time, these new possibilities carry new risks: • analysts who only use ready-made computer programs for solving a diversity of tasks, by feeding in the data and pressing the button, tend to lose a deeper understanding of the underlying model assumptions, inherent limitations and possible sources of error so that the quality of the results may be judged by the attractiveness of the graphic user interface; • readily calculated and displayed standard deviations for all conceivable solutions often seem to indicate a reliability of the results which is far from the truth.

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