Reliability Of Radioactive Transfer Models

Assessment of the radiological impact of planned or existing practices involving the (actual or potential) release of radionuclides to the environment are largely based on the use of modelling techniques which allow prediction of the relationship between environmental levels and releases and the associated radiation dose to man. Models are imperfect means of representing environmental transfer processes, and it is essential to know the reliability which can be associated with the predictions of these models for each and every assessment situation. Such information is necessary in order to establish confidence in model predictions and, in particular, to allow adequate safety margins to be set in the design of nuclear facilities. This knowledge is also a prerequisite to determine release limits or to decide whether further research is justified in order to improve predictive accuracy. Therefore a number of distinguished pilpers have been presented during this workshop which focused both on practical aspects of variability of observations of facts occuring in nature, but also on learned aspects of the science of statistics. It is not very clear, however, whether much insight in mechanisms is gained by such an approach. This insight is probably rather reached by a straightforward judgment of the quality of the primary data and by the willingness to think over carefully the experiments and measurernents before doing them. The book is composed such as to give the reader the chance to quietly study the presented papers in good order.

This book explores why dust forms around stars, and how to model stellar dust formation and dust-forming environments consistently.

This updated edition provides a foundation of theoretical and practical aspects of radiative transfer for students and researchers in atmospheric, oceanic and environmental sciences.

Remote Sensing of Soil and Land Surface Processes: Monitoring, Mapping, and Modeling couples artificial intelligence and remote sensing for mapping and modeling natural resources, thus expanding the applicability of AI and machine learning for soils and landscape studies and providing a hybridized approach that also increases the accuracy of image analysis. The book covers topics including digital soil mapping, satellite land surface imagery, assessment of land degradation, and deep learning networks and their applicability to land surface processes and natural hazards, including case studies and real life examples where appropriate. This book offers postgraduates, researchers and academics the latest techniques in remote sensing and geoinformation technologies to monitor soil and surface processes. ? Introduces object-based concepts and applications, enhancing monitoring capabilities and increasing the accuracy of mapping ? Couples artificial intelligence and remote sensing for mapping and modeling natural resources, expanding the applicability of AI and machine learning for soils and sediment studies ? Includes the use of new sensors and their applications to soils and sediment characterization ???????? Includes case studies from a variety of geographical areas

Advances in Heat Transfer, Volume 51, provides in-depth review articles from a broader scope than in traditional journals or texts, with this comprehensive release covering chapters on Micro and nanoparticle transport phenomena in confined flows, A review of heat transfer in the transitional flow regime, and much more. Fills the information gap between regularly scheduled journals and university-level textbooks by providing in-depth review articles over a broader scope than in traditional journals or texts Provides essential reading for all mechanical, chemical and industrial engineers working in the field of heat transfer Presents a great resource for use in graduate school level courses

A collection of papers that address such issues as model limits and reliability, emerging expert systems and integrated gas and solid phase combustion simulation models.

This new book describes the basic physics of solar and infrared radiation in the atmosphere. Radiation theory is related to the development of climate prediction models, and to measurement techniques for monitoring the Earth's energy budget and making remote sensing observations from satellites.