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121.
Helga de Wall Stefan Schöbel Manoj K. Pandit Kamal K. Sharma J. Just 《Journal of the Geological Society of India》2010,75(1):239-253
The Mirpur granite body represents a relatively small (10 km2) pluton intruded along the northern margin of the adjacent Mt. Abu batholith (∼125 km2) in NW India. It is a visibly undeformed alkali feldspar rich pink granite; in contrast, the Mt. Abu is a composite granitoid
body and variably deformed. Both are intruded by rhyolitic dykes and the terminal magmatic events in both the cases are mafic
dykes. The AMS (Anisotropy of Magnetic Susceptibility) data identify the Mt. Abu with SE-dipping foliations and subvertical
lineations as a single structural domain while the Mirpur granite body shows two domains characterized by predominantly E
— W trend of magnetic foliation in the eastern part (domain I) and N — S orientations in the western part (domain II). The
domain I shows magmatic fabrics, typical for the peraluminous granites of Malani Igneous Suite (MIS). Change in fabric orientation
in the domain II has resulted from cataclasis wherein the samples show destruction of the original E — W fabric and complete
transposition by N — S trends. The foliations in the Mt. Abu granites have been related to SE orientation of maximum horizontal
stress. The same maximum stress direction can be inferred from dyke orientation in the Mirpur granite, which is interpreted
as continuation of the tectonic imprint in this region during emplacement of both the granites. Age of the cataclastic overprint
with a predominant N — S orientation is not yet constrained but corresponds with the trend of the nearby Sindreth basin within
the Malani Igneous Suite. The Neoproterozoic tectonic scenario for the region has been interpreted in terms of an ongoing
crustal convergence and granitic magma emplacement against the back stop offered by the rigid Delhi Fold Belt. 相似文献
122.
Jennifer A. Goleski Florian Koch Maria A. Marcoval Charles C. Wall Frank J. Jochem Bradley J. Peterson Christopher J. Gobler 《Estuaries and Coasts》2010,33(5):1202-1215
Florida Bay is Florida’s (USA) largest estuary and has experienced harmful picocyanobacteria blooms for nearly two decades.
While nutrient loading is the most commonly cited cause of algal blooms in Florida Bay, the role of zooplankton grazing pressure
in bloom occurrence has not been considered. For this study, the spatial and temporal dynamics of cyanobacteria blooms, the
microbial food web, microzooplankton and mesozooplankton grazing rates of picoplankton, and the effects of nutrients on plankton
groups in Florida Bay were quantified. During the study, cyanobacteria blooms (>3 × 105 cells mL−1) persisted in the eastern and central regions of Florida Bay for more than a year. Locations with elevated abundance of cyanobacteria
hosted microzooplankton grazing rates on cyanobacteria that were significantly lower (p < 0.001) and less frequently detectable compared to sites without blooms. Consistent with this observation, cyanobacteria
abundances were significantly correlated with ciliates and heterotrophic nanoflagellates at low cyanobacteria densities (p < 0.001) but were not correlated during bloom events. The experimental enrichment of mesozooplankton abundance during blooms
yielded a significant decrease in the net growth rate of picoplankton but had the opposite effect when blooms were absent,
suggesting that the cascading effect of mesozooplankton grazing on the microbial food web was also altered during blooms.
While inorganic nutrient enrichment significantly increased the net growth rates of eukaryotic phytoplankton and heterotrophic
bacteria, such nutrient loading had no effect on the net growth rates of cyanobacteria. Hence, this study demonstrates that
low rates of zooplankton grazing and low rates of inorganic nutrient loading contribute to the persistence of cyanobacteria
blooms in Florida Bay. 相似文献
123.
基于WebGIS的旅游景区空间智能评价系统研究 总被引:3,自引:0,他引:3
针对现有信息系统在空间智能评价方面的薄弱之处,运用WebGIS空间智能集成方法探讨旅游景区空间智能评价系统的设计和实现,从三方面提高了旅游景区评价系统的智能化层次:通过集成旅游景区网上调查问卷系统,提高了数据收集提取的智能化层次;通过集成旅游景区模糊综合评价模型、客流结构评价模型及旅游专家知识系统,增强了评价系统的半结构化智能推理功能;采用B/S C/S系统构架,并利用Web技术提高了人机交互界面的智能化。周庄景区案例评价结果显示,该系统原型的运行效果良好且智能化层次较高。 相似文献