Inverse modeling methods for indoor airborne pollutant tracking: literature review and fundamentals.
X Liu, Z Zhai - Indoor air, 2007 - search.ebscohost.com
Reduction in indoor environment quality calls for effective control and improvement
measures. Accurate and prompt identification of contaminant sources ensures that they can …
measures. Accurate and prompt identification of contaminant sources ensures that they can …
[图书][B] Environmental modelling: an uncertain future?
K Beven - 2018 - taylorfrancis.com
Uncertainty in the predictions of science when applied to the environment is an issue of
great current relevance in relation to the impacts of climate change, protecting against …
great current relevance in relation to the impacts of climate change, protecting against …
Expected value of sample information calculations in medical decision modeling
AE Ades, G Lu, K Claxton - Medical decision making, 2004 - journals.sagepub.com
There has been an increasing interest in using expected value of information (EVI) theory in
medical decision making, to identify the need for further research to reduce uncertainty in …
medical decision making, to identify the need for further research to reduce uncertainty in …
On monte carlo methods for Bayesian inference
Bayesian methods are experiencing increased use for probabilistic ecological modelling.
Most Bayesian inference requires the numerical approximation of analytically intractable …
Most Bayesian inference requires the numerical approximation of analytically intractable …
Estimation of Markov chain transition probabilities and rates from fully and partially observed data: uncertainty propagation, evidence synthesis, and model calibration
NJ Welton, AE Ades - Medical Decision Making, 2005 - journals.sagepub.com
Markov transition models are frequently used to model disease progression. The authors
show how the solution to Kolmogorov's forward equations can be exploited to map between …
show how the solution to Kolmogorov's forward equations can be exploited to map between …
Quantifying and reducing uncertainty in life cycle assessment using the Bayesian Monte Carlo method
SC Lo, H Ma, SL Lo - Science of the total environment, 2005 - Elsevier
The traditional life cycle assessment (LCA) does not perform quantitative uncertainty
analysis. However, without characterizing the associated uncertainty, the reliability of …
analysis. However, without characterizing the associated uncertainty, the reliability of …
Bayesian analysis of data-worth considering model and parameter uncertainties
The rational management of water resource systems requires an understanding of their
response to existing and planned schemes of exploitation, pollution prevention and/or …
response to existing and planned schemes of exploitation, pollution prevention and/or …
水质模型研究进展与流域管理模型WARMF 评述
罗定贵, 王学军, 孙莉宁 - 水科学进展, 2005 - skxjz.nhri.cn
分析了以地表水, 地下水与非点源为代表的水质模型研究发展历程, 揭示了水质模型由经验-机理,
单要素(或无机, 大量, 无毒要素)-多要素(或有机, 微量, 有毒要素), 单介质-多介质, 稳态-动态 …
单要素(或无机, 大量, 无毒要素)-多要素(或有机, 微量, 有毒要素), 单介质-多介质, 稳态-动态 …
Application of machine learning in the fault diagnostics of air handling units
An air handling unit's energy usage can vary from the original design as components fail or
fault–dampers leak or fail to open/close, valves get stuck, and so on. Such problems do not …
fault–dampers leak or fail to open/close, valves get stuck, and so on. Such problems do not …
Rapidly locating and characterizing pollutant releases in buildings
MD Sohn, P Reynolds, N Singh… - Journal of the Air & Waste …, 2002 - Taylor & Francis
Releases of airborne contaminants in or near a building can lead to significant human
exposures unless prompt response measures are taken. However, possible responses can …
exposures unless prompt response measures are taken. However, possible responses can …