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This paper conducts calibration tests on the shallow-water maneuverability of 1:100 ship models for the typical navigation fleets in Three Gorges Reservoir. Major influential factors for the maneuverability similitude between models and prototypes and for scale effect were identified. A correction method for model scale was also established through model tests. Test results indicate that, by correcting the model scales of various fleets based on scale effect, the maneuverability indexes K’ (dimensionless of K) and T’ (dimensionless of T) of ship models are suitable for shallowwater tests, and properly reflect the maneuvering characteristics of prototypes. The findings provide an experimental basis for the navigation safety in Three Gorges Reservoir
At present, ship model tests are based on the normal mode at home and abroad. With the development and application of abnormal hydraulic model, it is necessary to study abnormal ship model. The similarity criterion of abnormal ship model is deduced from the similarity theory of normal hydraulic model in this paper. Some factors that affect the maneuverability of the abnormal ship model are discussed by theoretical analysis of ship maneuvering. The influence of the K and T index of different variable rate on the abnormal ship model maneuvering and the dimensional effect of the abnormal ship model are obtained, which can be used as a reference for the study of the abnormal ship model
Soil microbial communities play a vital role in soil carbon and carbon sequestration in forest ecosystems. In this study, soils were sampled in Tianbaoyan National Nature Reserve in southeastern China from four Nothotsuga longibracteata forests, including a pure N. longibracteata forest (NF), N. longibracteata + hardwood mixed forest (NHF), N. longibracteata + Rhododendron simiarum mixed forest (NRF), and N. longibracteata + Phyllostachys pubescens mixed forest (NPF). Our objective was to precisely quantify soil physicochemical properties, microbial biomass, microbial communities, and to evaluate their interrelationships. We used biochemical measurements, a fumigation-extraction method, and phospholipid fatty acid (PLFA) analysis method to show that – except for pH and soil bulk density (SBD) – soil physicochemical properties differed markedly among the forest types. Microbial biomass carbon (MBC) and nitrogen (MBN) were highest in NHF soils, while the ratio of microbial biomass carbon to nitrogen (MBC:MBN) was highest in NRF and NPF soils. Moreover, the microbial communities of the four forest types exhibited distinct profiles: the highest total PLFA content and content of Grampositive bacteria (Gram(+)), Gram-negative bacteria(Gram(-)), and fungi were found in NRF. Additionally, NHF soil exhibited the highest actinomycetes content, while the highest protozoal content was found in NF soil. The analysis of individual PLFAs using principal component analysis (PCA) demonstrated a clear association of distinct soil PFLA characteristics for each forest type. In conclusion, the soil microbial community structure can be significantly influenced by changes in soil organic carbon (SOC) and MBN. Comparing soil microbial properties in different N. longibracteata forests can help us understand the influence of forest types on the structure of microbiota within a system.
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