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资源评价特点与成矿带级资源评价的几个问题
引用本文:孙文鹏.资源评价特点与成矿带级资源评价的几个问题[J].铀矿地质,1993(2).
作者姓名:孙文鹏
作者单位:核工业北京地质研究院 100029
摘    要:近年来,铀资源评价在我国广泛开展,并取得丰硕成果。资源评价与传统地质预测不同,其主要差别是:资源评价应用了数学方法,它建立在对已有资料全面综合定量分析的基础上,对工作区的资源能作定质、定量、定位及定类型预测。矿田与矿带级资源评价也存在差别,矿带由于范围大,资料比例尺小,所以矿带资源评价是以评价成矿环境为主;而矿田资源评价则是以对预测资源定位、定量为主要宗旨。因此,两者在评价方法、预测模型建立、资料要求、变量选取等方面都存在很大差别。文章针对成矿带级资源评价各阶段经常遇到的问题,提出了多种处理办法,详细论述了矿床模型法用于矿带资源评价时所遇到的各种困难,最后作者提出在作成矿带或非总合式资源评价时采用矿床成因模型或成矿概念模型的建议。

关 键 词:资源评价  成矿带资源评价  成矿成功树

SOME PROBLEMS ON THE FEATURE OF RESOURCE EVALUATION AND THE RESOURCE EVALUATION ON METALLOGENIC BELT SCALE
Sun Wenpeng.SOME PROBLEMS ON THE FEATURE OF RESOURCE EVALUATION AND THE RESOURCE EVALUATION ON METALLOGENIC BELT SCALE[J].Uranium Geology,1993(2).
Authors:Sun Wenpeng
Abstract:In recent years, uranium resource evaluation has been widely carried out and rich fruition has been obtained in China. The maln difference between resource evaluation and conventional geological prediction is that the mathematical method is applied in resource evaluation which is established on the basis of all-round ,comprehensive quantitative analysis of known data, and the prediction in location, quantity ,quality and type of the resources in working area can be made. Difference also exists between the resource evaluation in ore field and metallogenic belt. Owing to the wide area of evaluation and small scale in information, the resource evaluation in metallogenic belt is mainly based on the evaluation of metallogenic evironment, whereas the resource evaluation in ore field mainly aims at the prediction of resource location and quantification. Therefore, a great difference exists in the aspects of the evaluation method, establishment of prediction model, requirement for the data selection of variables between both kinds of resource evaluation. In view of the problems often encountered at various stage of the resource evaluation on metallogenic belt scale, this paper presents many kinds of disposal approaches and discusses difficulties confronted with when the ore deposit model method is used for the resource evaluation of metallogenic belt. Finally, the author makes a suggestion for the adoption of the ore deposit genetic model or metallogenic conceptual model when the non-aggragative resource evaluation of the metallogenic belt is conducted.
Keywords:Resource evaluation  Resource evaluation of metallogenic belt  Success tree
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