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Title
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A climatology of persistent high relative humidity for the lower peninsula of Michigan : implications for health and agriculture
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Creator
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Komoto, Kara
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Date
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2019
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Collection
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Electronic Theses & Dissertations
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Description
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High values of relative humidity have implications for many processes including human health, animal health and production, and crop disease. Despite its importance, little research has been completed about the persistence of high relative humidity. The goals of this study were to 1) create a baseline climatology of the persistence of high relative humidity (HRH), defined as ≥ 60%, and extremely high relative humidity (EHRH), defined as ≥ 85%, for the Lower Peninsula of Michigan and 2)...
Show moreHigh values of relative humidity have implications for many processes including human health, animal health and production, and crop disease. Despite its importance, little research has been completed about the persistence of high relative humidity. The goals of this study were to 1) create a baseline climatology of the persistence of high relative humidity (HRH), defined as ≥ 60%, and extremely high relative humidity (EHRH), defined as ≥ 85%, for the Lower Peninsula of Michigan and 2) examine, using persistent EHRH events as a surrogate for leaf wetness duration, the frequency of favorable environmental conditions for apple scab and cherry leaf spot, major crop diseases in the state. Results demonstrate that although overall persistent relative humidity events often occur throughout the state, their frequency appears to be decreasing with time. Temporal trends in the frequency of favorable environmental conditions for apple scab and cherry leaf spot vary by location and disease, but there is a general trend toward fewer occurrence of favorable environmental conditions. The climatological analyses provide Michigan stakeholders with essential information for long-term planning and management to mitigate and/or adapt to persistent high relative humidity and to assess future changes in persistent high relative humidity as expected with climate change.
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Title
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A cluster analysis comparison of selected traditional Japanese gardens, classical Chinese gardens and modern Chinese gardens
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Creator
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Chen, Dexin
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Date
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2018
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Collection
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Electronic Theses & Dissertations
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Description
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"Cluster analysis is a useful mathematical method that has been used to examine the differences or similarities between gardens (Xu Y. , 2015). This investigation aims to test the differences and similarities between traditional Japanese gardens in Kyoto, the classical Chinese gardens in Suzhou, and the modern Chinese gardens in Xiamen, by comparing the design elements and design principles of the gardens. A hundred and thirty-four variables are selected based upon a literature review and the...
Show more"Cluster analysis is a useful mathematical method that has been used to examine the differences or similarities between gardens (Xu Y. , 2015). This investigation aims to test the differences and similarities between traditional Japanese gardens in Kyoto, the classical Chinese gardens in Suzhou, and the modern Chinese gardens in Xiamen, by comparing the design elements and design principles of the gardens. A hundred and thirty-four variables are selected based upon a literature review and the author's personal experience in Kyoto, where the first seventy-five variables are adopted from earlier garden research by Yiwen Xu (Xu Y. , 2015). After collecting the variables and applying the Principal Component Analysis by the software SAS, a group of corresponding eigenvalues are generated. According to the Principal Component Analysis, the first two principal components covered 63.81 percent of the sample variance. The first and second principal component together divided the gardens into three groups: the first principal component indicated similarities between the traditional Japanese gardens and classical Chinese gardens; the second principal component indicated similarities between traditional Japanese gardens and modern Chinese gardens. Therefore, the final result is a group of three two-dimensional scatter graphs, where each point represents a garden's character on two coordinate axes, and the dimensions are generated from the meaningful eigenvalues."--Page ii.
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