对“基于数理统计的视电阻率平面图异常划分方法”的商榷  

Discussion with the Paper“Anomalies Division on Apparent Resistivity Plan Based on Mathematical Statistics”

作　　者：李博凡 程建远 

机构地区：[1]西安科技大学,陕西西安710054 [2]中煤科工集团西安研究院有限公司,陕西西安710077

出　　处：《中国煤炭地质》2015年第5期74-77,共4页Coal Geology of China

基　　金：国家科技重大专项资助项目(2011ZX05040-002);科技部科研院所专项基金资助项目(2013EG122200);国家科技支撑计划资助项目(2012BAK04B04)

摘　　要：视电阻率资料解释时的阈值划分方法对于电磁法勘探的异常解释至关重要。朱学臣等在"基于数理统计的视电阻率平面图异常划分方法"一文中,将-ρs±σ/3或-ρs±σ作为低阻异常划分的阈值,并利用该方法在黑龙江某矿区的工程实践中取得了较好的效果。但朱学臣等在文中未对该方法应用的前提和存在的问题加以说明。通过对该方法的讨论,认为原文存在以下不足:一是方法应用的前提是阈值划分标准仅建立在具有统一背景场的基础上;二是数理统计要求数据必须符合正态分布;三是适用性仅限于平面数据,其应用条件过于苛刻。为此,建议可在观测场平缓变化的条件下引入趋势面分析技术,从数据中剔除背景值的影响,进而利用残差数据进行异常划分,从而增强视电阻率异常划分方法的普适性。Threshold value division method for apparent resistivity data is very important in deciphering of electromagnetic anomaly prospecting data. In the paper named“Anomalies Division of Apparent Resistivity Plan Based on Mathematical Statistics”written by Zhu Xuechen et al, -ρs ±σ/3 or -ρs ±σ is regarded as threshold value of low-resistant dividing abnormality, among which -ρs is the av-erage apparent resistivity and σ is the standard deviation. This method has achieved good results in practice in a colliery in Heilongji-ang Province. However, the premise of application and the existing problems are not explained in Zhu’s paper. This paper holds the opinion that：in terms of the method premise, the original threshold criteria for the classification is based on a uniform background field;in terms of the mathematical statistics, the original method requires that the data must be normally distributed;in terms of the applica-bility, the original method is only applied to the flat data and the application conditions are too narrow. Therefore, trend surface analysis technique should be introduced when the observation field changes gently, excluding the impact of the background value from the data, and then utilizing the abnormal division of residual data, thus enhancing the universality of apparent resistivity anomaly division.

关 键 词：视电阻率 异常划分 阈值 趋势面分析 

分 类 号：P631.3[天文地球—地质矿产勘探]