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91.
对威海近海海域127站位表层沉积物中的重金属元素进行分析测试,采用单因子污染指数法、综合污染指数法、超标分类法和潜在生态危害法等多种评价方法对研究区环境质量进行评价。认为研究区海底表层沉积物的单因子污染物指数偏低,只有Cu和Cr两种重金属出现一类沉积物质量超标情况;海底表层沉积物环境质量在整体上处于清洁和尚清洁状态,个别站位处于允许状态;污染类型主要以Ⅰ类、Ⅱ类为主,含少量Ⅲ类,Ⅱ类又分为Ⅱ1Cr和Ⅱ2Cu两个污染亚类,Ⅲ类又分为Ⅲ1Cr-Cu和Ⅲ2Cu-Cr两个污染亚类;各种重金属的生态危害程度均低。 相似文献
92.
Non-erodible elements, for its disturbance to the near-surface airflow, have been widely used in arid and semi-arid regions to protect the surface from wind erosion. Roughness length was usually used to evaluate the protection effect of non-erodible elements from wind erosion. In this study, the wind profiles above five types of non-erodible surfaces including gravel, wheat straw checkerboard barriers, cotton stem checkerboard barriers, shrubs, and herbs were measured and analyzed. The wind velocities above these surfaces increased with height approximately in logarithmic functions. The roughness length of different non-erodible surfaces was calculated by the functions of wind profiles. The results reveal that:(1) Roughness length increased with wind velocity in given wind velocity ranges. (2) On vegetative surfaces, wind did not effectively bend the stems. The threshold wind velocity for bending the stems of Achnatherum splendens was 4 m/s, 10 m/s for Agropyron cristatum, and for Artemisia ordosica, no obvious bending of stems even for wind velocity reaching 12 m/s. (3) Correlation analysis results show that the vegetation''s coverage and frontal area affect the roughness length more significantly than the other parameters. (4) The protective results of these non-erodible elements were evaluated. The checkerboard sand barriers made of cotton stem could provide more effective protection than that made of wheat straw. In the same coverage conditions, vegetation could provide more effective protection from wind erosion than gravel, and the blending of different non-erodible elements especially the combination of blending of vegeation and checkerboard sand barriers could provide more effective protection to the surface. 相似文献
93.
A promising method for gas hydrates exploration incorporates pre-stack seismic inversion data, elastic properties modeling, and seismic interpretation to predict saturation of gas hydrates (Sgh). The technology can be modified slightly and used for predicting hydrate concentrations in shallow arctic locations as well. Examples from Gulf of Mexico Walker Ridge (WR) and Green Canyon (GC) protraction areas illustrate how Sgh was derived and used to support the selection of well locations to be drilled for gas hydrates in sand reservoirs by the Chevron-led Joint Industry Project (JIP) Leg II cruise in 2009. Concentrations of hydrates were estimated through the integration of seismic inversion of carefully conditioned pre-stack data, seismic stratigraphic interpretation, and shallow rock property modeling. Rock property trends were established by applying principles of rock physics and shallow sediment compaction, constrained by regional geological knowledge. No nearby sonic or density logs were available to define the elastic property trends in the zone of interest. Sgh volumes were generated by inverting pre-stack data to acoustic and shear impedance (PI and SI) volumes, and then analyzing deviations from modeled impedance trends. In order to enhance the quality of the inversion, we stress the importance of maximizing the signal to noise ratio of the offset data by conditioning seismic angle gathers prior to inversion. Seismic interpretation further plays an important role by identifying false anomalies such as hard, compact strata, which can produce apparent high Sgh values, and by identifying the more promising strata and structures for containing the hydrates. This integrated workflow presents a highly promising methodology, appropriate for the exploration of gas hydrates. 相似文献
94.
????????????????д????????ò???????????????????????????ε??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????硢??????????????????Ч??????????????????????????????????????????С?? 相似文献
95.
<正>1 Introduction After the successful implementation of large-scale shale gas exploration、development and utilization in United States,the domestic shale gas exploration and development is in a rapid development.However,the progress of exploration and understanding of the highEvolution shale gas in the complex structure zone of the outer basin are relatively slow,the evaluation method and 相似文献
96.
随着科学技术的进步,地理空间数据的分析处理面临着数据量膨胀和计算量高速增长的双重挑战,为了解决海量数据处理速度慢的问题,本文针对空间分布不均匀的点数据,从数据并行的角度,以保持数据的空间邻近性及保证数据分组后各组数据量负载均衡为目标,提出基于N-KD树(Number-K Dimension Tree)数据动态分组的方法,其是一种面向实时变化(数据量和数据空间范围变化)的空间数据动态分组方法。该方法借鉴K-D树的创建和最临近点搜索的思想,通过方差判断数据分布稀疏程度,利用最临近点搜索方法处理边界点,实现空间范围的不均等切分,保证数据分组后各组数据量基本均衡。试验表明,该方法具有较好的动态分组效果与较高的计算效率;支持各种分布状态的空间点数据的分组;分组后各组数据量负载均衡;分组算法本身有支持并行、支持分布式协同工作模式的特点。 相似文献
97.
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99.
IntroductionThe area of eastern Liaoning is an importantmetal and nonmetal metallogenetic district in China,and the Liaohe group is one of the most importantstrata that hosts Pb, Zn, Au, B and Mg etcstratabound deposits. Up to now many geo1ogistssuch as Z… 相似文献
100.