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A Report On The Translation Of Modeling The Health Risks Of Climate Change?Workshop Summary

Posted on:2017-07-13Degree:MasterType:Thesis
Country:ChinaCandidate:S L WanFull Text:PDF
GTID:2335330488976745Subject:English interpretation
Abstract/Summary:PDF Full Text Request
This is a translation project report of Modeling the Health Risks of Climate Change Workshop Summary. The source text is a workshop summary published on the National Academy of Sciences(NAS) in 2014. Interest in resolving some of the challenges facing health effects modelers and health scientists led the National Research Council's Standing Committee on Emerging Science for Environmental Health Decisions(ESEH) to hold a workshop in Washington to explore new approaches to modeling the human health risks of climate change. Models of health risks that reflect how health determinants and climate changes vary in time and space are needed so that we can inform adaptation efforts and reduce or prevent adverse health effects. Robust health risk models could also help to inform national and international discussions about climate policies and the economic consequences of action and inaction. Insightful suggests and feasible methods mentioned in this article would assist policy-makers and scholars to better understand and manage models of health risk in China. This translation can be divided into four parts including project introduction, research background, translation difficulties and methods and conclusion. Dynamic equivalence translation theory of Eugene A. Nida has been adopted as guidance in this translation report, which holds the purpose that the reader of both languages would understand the meanings of the text in a similar way. A variety of translation methods ranging from amplification to division have been exercised for the smooth, accurate and effective translation of the reprot. As a typical research report, translation theory and methods applied in this project would provide certain references for translating texts of this kind.
Keywords/Search Tags:climate change, health risk, models, dynamic equivalence
PDF Full Text Request
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