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The Value of Using Unofficial Measurements of Rainfall: The Dublin Storm and Flood of June 1963 被引量:1
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作者 Colin Clark 《Journal of Geoscience and Environment Protection》 2019年第2期76-91,共16页
Rainfall measurements are vital for the design of hydraulic structures, climate change studies, irrigation and land drainage works. The most important source of design rainfall data comes from convective storms. Accur... Rainfall measurements are vital for the design of hydraulic structures, climate change studies, irrigation and land drainage works. The most important source of design rainfall data comes from convective storms. Accurate assessment of the storm rainfall requires a fairly dense network of raingauges. In 1963, such a storm took place over Dublin in Ireland. However, the existing raingauge network was insufficient to identify both the depth and pattern of rainfall. An appeal was made by Met Eireann for additional unofficial rainfall data. The result was remarkable in that the estimated maximum rainfall depth was found to be more than double the official value and that the resulting depth area analysis suggested a rainfall volume over a large area much bigger than the original isohyet map indicated. This result has huge implications for the estimation of maximum rainfall and dam safety assessment, especially in countries where the raingauge network has a low density. This paper first provides a description of the synoptic conditions that led to the storm, second an analysis of the rainfall data and how the unofficial measurements produced a very different depth area relationship;third, the social consequences of the resulting flood are described. Fourth, the storm is then placed in the context of other storms in the British Isles Finally the implications for rainfall measurement, gauge density and an example of how revised estimates of probable maximum precipitation (PMP) have been used to improve the safety and design standard of a flood detention dam are discussed. 展开更多
关键词 RAINGAUGE Network unofficial Data Maximum RAINFALL Estimation DAM Safety
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Carnival Laughter in Don Juan A Bakhtinian Reading of Don Juan
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作者 王颖 《海外英语》 2018年第6期173-175,共3页
Byron's works are often considered as being cynical and tragic due to their famous Byronic heroes—often defiant, melan-choly young men as well as Byron's rebellious life experience. However, Don Juan has alre... Byron's works are often considered as being cynical and tragic due to their famous Byronic heroes—often defiant, melan-choly young men as well as Byron's rebellious life experience. However, Don Juan has already grown out of such tragic mood andself-pitying pride. In Don Juan, contrary to the serious and complete negation, the satire is ambivalent just like the medieval carni-val laughter which is deriding and downgrading as well as positive and regenerating. With the help of the Bakhtin's theory aboutthe medieval carnival, Don Juan proved to be an affirmative poem with positive sense. Byron in this poem gives a true revelation ofpassionate mutual love, shows the importance of personal and national liberty, and expands people's perception of morality as hesatires and laughs at the vices of the society. 展开更多
关键词 carnival laughter ambivalent NOVELIZATION Don Juan unofficial truth
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Genomics, Proteomics & BioinformaticsUnofficial Impact Factor 0.885 in 2011
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《Genomics, Proteomics & Bioinformatics》 SCIE CAS CSCD 2012年第4期I0004-I0004,共1页
Genomics, Proteomics & Bioinformatics (GPB, ISSN 1672-0229) is a peer-reviewed international journal in English since 2003. GPB is sponsored by Beijing Institute of Genomics, Chinese Academy of Sciences and Genetic... Genomics, Proteomics & Bioinformatics (GPB, ISSN 1672-0229) is a peer-reviewed international journal in English since 2003. GPB is sponsored by Beijing Institute of Genomics, Chinese Academy of Sciences and Genetics Society of China, and jointly published bimonthly by Elsevier and Science Press. 展开更多
关键词 Bioinformatics unofficial Impact Factor 0.885 in 2011 GENOMICS PROTEOMICS
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Genomics, Proteomics & Bioinformatics Unofficial Impact Factor 0.982 in 2012
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《Genomics, Proteomics & Bioinformatics》 SCIE CAS CSCD 2013年第2期134-134,共1页
Aims and ScopeGenomics, Proteomics & Bioinformatics (GPB, ISSN 1672-0229) is a peer-reviewed interna- tional journal in English since 2003.. GPB is sponsored by Beijing Institute of Genomics, Chinese Academy of Sci... Aims and ScopeGenomics, Proteomics & Bioinformatics (GPB, ISSN 1672-0229) is a peer-reviewed interna- tional journal in English since 2003.. GPB is sponsored by Beijing Institute of Genomics, Chinese Academy of Sciences and Genetics Society of China, and jointly published bimonthly by Elsevier and Science Press. 展开更多
关键词 Bioinformatics unofficial Impact Factor 0.982 in 2012 GENOMICS
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