排序方式： 共有13条查询结果，搜索用时 421 毫秒
1.
RICHARD L. RIECK JOHNS S. KLASNER HAROLD A. WINTERS PERRY A. MARLETTE 《Boreas: An International Journal of Quaternary Research》1991,20(2):155-167
A variety of glaciotectonic structueres are associated with a distinctive Middle- Wisconsin organic formation that is exposed at thirteen places along Michigan's Pine River. The carbonaceous material, with a 14 C age of about 46,000 years BP, accumulated in an extensive, weakly geogenous, oligotrophic fen that was buried by sand before being deformed. Numerous faults and folds, the latter with observed amplitudes that may exceed 5 m, have a consistent sense of easterly structural vergence indicating glacial movement from the west. Gelogic relationships here and generally accepted regional chronology indicate that deformation was produced by Late Wisconsin ice that flowed from the Lake Michigan basin. This unequivocal marker bed provides detailed information on the topography, environment, and climate associated with an ice-free Middle-wisconsin landscape. Equally important and unprecedented for the area, it is an especially precise measure of multiple glaciotectonic effects upon an incompetent Pleistocene organic formation of considerable extent. 相似文献
2.
3.
4.
5.
MARIANNE V. MOORE MICHAEL L. PACE JOHN R. MATHER PETER S. MURDOCH ROBERT W. HOWARTH CAROL L. FOLT CELIA Y. CHEN HAROLD F. HEMOND PATRICIA A. FLEBBE CHARLES T. DRISCOLL 《水文研究》1997,11(8):925-947
Numerous freshwater ecosystems, dense concentrations of humans along the eastern seaboard, extensive forests and a history of intensive land use distinguish the New England/Mid-Atlantic Region. Human population densities are forecast to increase in portions of the region at the same time that climate is expected to be changing. Consequently, the effects of humans and climatic change are likely to affect freshwater ecosystems within the region interactively. The general climate, at present, is humid continental, and the region receives abundant precipitation. Climatic projections for a 2 × CO2 atmosphere, however, suggest warmer and drier conditions for much of this region. Annual temperature increases ranging from 3–5°C are projected, with the greatest increases occurring in autumn or winter. According to a water balance model, the projected increase in temperature will result in greater rates of evaporation and evapotranspiration. This could cause a 21 and 31% reduction in annual stream flow in the southern and northern sections of the region, respectively, with greatest reductions occurring in autumn and winter. The amount and duration of snow cover is also projected to decrease across the region, and summer convective thunderstorms are likely to decrease in frequency but increase in intensity. The dual effects of climate change and direct anthropogenic stress will most likely alter hydrological and biogeochemical processes, and, hence, the floral and faunal communities of the region's freshwater ecosystems. For example, the projected increase in evapotranspiration and evaporation could eliminate most bog ecosystems, and increases in water temperature may increase bioaccumulation, and possibly biomagnification, of organic and inorganic contaminants. Not all change may be adverse. For example, a decrease in runoff may reduce the intensity of ongoing estuarine eutrophication, and acidification of aquatic habitats during the spring snowmelt period may be ameliorated. Recommendations for future monitoring efforts include: (1) extending and improving data on the distribution, abundance and effect of anthropogenic stressors (non-point pollution) within the region; and (2) improving scientific knowledge regarding the contemporary distribution and abundance of aquatic species. Research recommendations include: (1) establishing a research centre(s) where field studies designed to understand interactions between freshwater ecosystems and climate change can be conducted; (2) projecting the future distribution, activities and direct effects of humans within the region; (3) developing mathematical analyses, experimental designs and aquatic indicators that distinguish between climatic and anthropogenic effects on aquatic systems; (4) developing and refining projections of climate variability such that the magnitude, frequency and seasonal timing of extreme events can be forecast; and (5) describing quantitatively the flux of materials (sediments, nutrients, metals) from watersheds characterized by a mosaic of land uses. © 1997 John Wiley & Sons, Ltd. 相似文献
6.
7.
8.
9.
10.
HAROLD MOELLERING 《International journal of geographical information science》2013,27(3):289-292
Metonymically used location names (toponyms) refer to other, related entities and thus possess a meaning different from their literal, geographic sense. Metonymic uses are to be treated differently to improve the performance of geographic information retrieval (GIR). Statistics on toponym senses show that 75.06% of all location names are used in their literal sense, 17.05% are used metonymically, and 7.89% have a mixed sense. This article presents a method for disambiguating location names in texts between literal and metonymic senses, based on shallow features. The evaluation of this method is two‐fold. First, we use a memory‐based learner (TiMBL) to train a classifier and determine standard evaluation measures such as F‐score and accuracy. The classifier achieved an F‐score of 0.842 and an accuracy of 0.846 for identifying toponym senses in a subset of the CoNLL (Conference on Natural Language Learning) data. Second, we perform retrieval experiments based on the GeoCLEF data (newspaper article corpus and queries) from 2005 and 2006. We compare searching location names in a database index containing both their literal and metonymic senses with searching in an index containing their literal senses only. Evaluation results indicate that removing metonymic senses from the index yields a higher mean average precision (MAP) for GIR. In total, we observed a significant gain in MAP: an increase from 0.0704 to 0.0715 MAP for the GeoCLEF 2005 data, and an increase from 0.1944 to 0.2100 MAP for the GeoCLEF 2006 data. 相似文献