Dettaglio del documento
<<Handbook on radiation environment>> 1: Sources, applications and policies
Abstract
This handbook provides a comprehensive review of radiation present in the environment, its sources, dose measurement techniques, exposures in natural and man-made radiation environments, policies governing radiation safety, societal applications of radiation technology, radiological and nuclear events, preparedness, response, and mitigation of radiation emergencies.
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It covers natural and man-made radiation environment with an emphasis on renewed interest in nuclear energy as a clean and green source of power generation. Additionally, it reviews various approaches to understand the fate and behaviour of radionuclides in the terrestrial and aquatic ecosystems. It also presents nuclear technology's diverse applications, from diagnostic and therapeutic nuclear medicine to materials modifications and sustainable waste management strategies and the role of ionizing radiation in ensuring food security and safety. The handbook also highlights the existing (internationally adopted) radiation protection policies, which are originated from linear-no-threshold (LNT) model of dose-response characteristics. (Estratto dal sito dell'editore)
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| eBook | ||
| Titolo non significativo | ||
| Description | <<*Handbook on radiation environment>> 1: Sources, applications and policies / Dinesh Kumar Aswal editor. - Singapore : Springer, 2024. - 1 testo elettronico (xix, 693 p. : ill.) | |
| ISBN | 9789819980383 | |
| Part of | Handbook on radiation environment | |
| Curatore |
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| Subjects | 62F15 - Bayesian inference [MSC 2020] | |
| 81V35 - Nuclear physics [MSC 2020] | ||
| 82D30 - Statistical mechanical studies of random media, disordered materials (including liquid crystals and spin glasses) [MSC 2020] | ||
| Parole chiave |
Internal and External Dose Measurements
Natural and Man-Made Radiation Radiation Emergency Response Radiation Protection Policies Radioecology |
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| Publication place | Singapore | |
| Publisher | Springer <editore> | |
| Publication year | 2024 | |
| Thesaurus | 62F15 | |
| 81V35 | ||
| 82D30 | ||
| Bayesian inference [MSC 2020] | ||
| Nuclear physics [MSC 2020] | ||
| Statistical mechanical studies of random media, disordered materials (including liquid crystals and spin glasses) [MSC 2020] |