矿床分割法在以GIS为平台的铀资源定量估算中的应用——以双桥-新路地区为例

摘要

数量化理论Ⅰ模型规定:参与定量估算的预测要素数目小于等于研究区内已确定的典型矿床模型数目.事实上,多数研究区内可作为模型的典型铀矿床数目较少,因而限制了预测要素的选取,降低了预测精度,为解决此局限性,提出了一种新方法——矿床分割法.该方法是将某一典型铀矿床模型按其具有相似预测要素的矿带进行逆向分割,即拆分成一定数目的铀矿模型,扩充了模型数目,并保持分割后各模型区资源量不变.双桥-新路地区试验结果证明:运用“矿床分割法”后,预测要素的选取数目有了明显增加,提高了方向系数值,资源量估算值更接近模型区的实际资源量.%There is a prescript in quantifying theory Ⅰ that the number of prognosis elements in quantificational evaluation should be less than or equals to the number of typical deposits in researching area.In fact,the number of typical uranium deposits is often limited and restrict the selection of prognosis ele ments and prognosis precision.Therefore,a new method-Deposits Segmentation was proposed to solve the problem.The typical uranium deposit is divided conversely according to the ore zones in a model area by the new method to extend the number of model,but uranium resources is remain the same after segementation.The new method was applied in Shuangqiao-Xinlu area and proved that the number of available prognosis elements is increased,the value of directional coefficient is enhanced and the value of quantificational evaluation of uranium resources is close to the value of actual uranium resources of model area.