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排序方式: 共有100条查询结果,搜索用时 15 毫秒
1.
Application of Weights of Evidence to Mineral Potential Mapping of Yujiacun Ore Field in Northwest Yunnan Province, China 总被引:1,自引:0,他引:1
ZHAO Pengda 《中国地质大学学报(英文版)》2003,14(3):269-273
The multivariate information conprehensive processing technique is especially important at present to the digital mineral prospecting. However, the GIS-based weights of evidence have provided us with powerful tool for the quantitative assessment of mineral resource potential. In this paper, the mineralization model is established, based on the achievements made by previous researchers, to mend such deficiencies ad few references on ore fields in Yujiacun, Yunnan Province and the shortage of quantitative prediction and assessment of mineral resources. In addition, the weights of evidence are used to make a systematic quantitative prediction and assessment of mineral resources there, so that 2 mineral prospecting target areas of grade Ⅰ and 8 mineral prospecting target areas of grade Ⅱ are delineated, providing the further mineral resource exploration with the basis for the selection of mineral deposits. 相似文献
2.
ZHAO Pengda 《中国地质大学学报(英文版)》2004,15(3):245-252
“Three-component” method consists of three clase-connected aspects: geological anomaly,diversity of mineralization and mineral deposit spectrum. All these three concepts are not new separately, but it is a new approach to combine these three aspects in one single concept for quantitative mineral resources prediction and assessment and it is also the first time to conduct a more detailed study in each aspect. Investigation and clarification of geological anomalies, diversity of mineralization and spectrum of mineral deposits are realized by digitization and quantification of ore forming controlling factors, oreexisting symbols or marks, characteristics of mineralization and regulation of ore-genesis and laws of distribution. These procedures lead to construction of a “digital model“ for mineral resources prediction andassessment. 相似文献
3.
等高线内插是提高地形图精度的一个常用手段,在地图综合等领域中有很重要的作用。在实际地形图数据库中,等高线除了存在完整的计曲线以外,还有一部分断裂的首曲线。已有的等高线内插研究中未考虑对此类数据的处理,为此,本文提出了一种基于Fréchet距离的断裂等高线内插算法。首先提出了等高线度量关系的计算方法,然后对等高线的节点均匀加密,并利用Fréchet距离进行相似度判断以选择参考等高线,最后根据“最近点”的方式进行插值。通过对江苏某地区实际数据的试验,验证了该算法的合理性,对于鞍部地区的内插,有更好的适应性和准确性。 相似文献
4.
The extraction of partition lines for long and narrow patches (LN patches) is an important yet difficult problem in the generalization of thematic data. When current methods are used to process polygons with irregular shapes or complex branch convergence zones, the extracted line structural features tend to be inaccurate and topologically erroneous. In this article, we propose an improved partition lines extraction algorithm of constrained Delaunay triangulation to counter these issues. The proposed method aims to maintain consistency between the extracted line structure characteristics and the actual object structure, especially for complex branch convergence zones. First, we describe three types of aggregation patterns (Type A, B, and C aggregation zones) that occur in partition line extractions for LN patches of complex branch convergence zones using Delaunay triangulation. Then, a partition line extraction algorithm that accounts for the direction between the edges of triangles and the distance of nodes in aggregation zones is proposed. Finally, we test our method for a dataset relating to Guizhou Province, China. Compared with the current method that uses quantitative indicators and visualization, the results indicate that our method not only has applicability for simple situations but also is superior for preserving structural features of complex branch convergence zones. 相似文献
5.
勘探工程地质统计信息法 总被引:2,自引:0,他引:2
勘探工程地质统计信息法试图运用定量评价准则研究勘探工程,而定量评价准则是建立在矿体数学模型基础上。本文在最优勘探方案和最优工程位置选择方面作了一些研究。 相似文献
6.
本文通过勘探变量的统计得分法以及聚类和特征分析法,将矿体变化性按成因分为四类.按不同的取样观测方法,将矿体变化性分为群体的、单体的和局部的三类,并以实例说明上述分类在矿体预测和勘探中的实际应用. 相似文献
7.
8.
中太平洋海山多金属结壳的成矿特征 总被引:10,自引:0,他引:10
根据我国大洋多金属结壳的调查资料并结合其他相关的研究结果,对中太平洋海山区多金属结壳的类型,产状,成分,结构,分布等成矿特征进行了初步的研究,结果表明,中太平洋海山区富钴结壳广泛发育,但成矿特征较大地受地形,水溶,基岩类型等成矿环境因素的影响与制约。 相似文献
10.