本文關(guān)鍵詞：基于證據(jù)權(quán)法的贛南稀土礦山地質(zhì)環(huán)境評價，由筆耕文化傳播整理發(fā)布。

2015年1月

第36卷 第1期: 103-110

地球?qū)W報.com

地 球 學(xué) 報 Acta Geoscientica Sinica

Jan. 2015

Vol.36No.1: 103-110

基于證據(jù)權(quán)法的贛南稀土礦山地質(zhì)環(huán)境評價

馬 偉1, 4), 徐素寧2), 王潤生3)*, 趙珍梅4), 文元亮4)

3)中國國土資源航空物探遙感中心, 北京 100083; 4)中國冶金地質(zhì)總局礦產(chǎn)資源研究院, 北京 100025 摘 要: 為了解決礦山地質(zhì)環(huán)境評價研究中指標(biāo)權(quán)值計算和評價分級具有較大主觀性的問題, 本文發(fā)展了一種基于證據(jù)權(quán)法的礦山地質(zhì)環(huán)境評價模式, 利用GIS的空間分析功能, 提取礦產(chǎn)開發(fā)活動、坡度、坡向、高程、構(gòu)造、植被覆蓋度6類地質(zhì)環(huán)境評價指標(biāo), 運用證據(jù)權(quán)法計算指標(biāo)權(quán)值。結(jié)合條件獨立性檢驗結(jié)果, 優(yōu)選評價指標(biāo)并計算后驗概率。采用后驗概率面積頻率法對贛南稀土礦山地質(zhì)環(huán)境進行綜合評價分級。結(jié)果表明, 研究區(qū)內(nèi)地質(zhì)環(huán)境差區(qū)域主要分布在其東南部和西部; 礦產(chǎn)開發(fā)活動是影響研究區(qū)內(nèi)地質(zhì)環(huán)境質(zhì)量最主要的因素。采用效率曲線法對模型驗證, 正確率和預(yù)測率分別為90.1%和89.5%。證據(jù)權(quán)法能夠有效避免主觀因素干擾, 評價結(jié)果客觀, 具有可重現(xiàn)性, 適用于礦山地質(zhì)環(huán)境質(zhì)量評價。 關(guān)鍵詞: 證據(jù)權(quán)法; GIS; 礦山地質(zhì)環(huán)境; 評價

中圖分類號: X141; O241 文獻標(biāo)志碼: A doi: 10.3975/cagsb.2015.01.12

1)中國地質(zhì)大學(xué)(北京), 北京 100083; 2)中國地質(zhì)環(huán)境監(jiān)測院, 北京 100081;

Geo-environmental Quality Assessment of Rare-earth Mines in Southern

Jiangxi Province Using Weights-of-evidence Modeling

MA Wei1, 4), XU Su-ning2), WANG Run-sheng3)*, ZHAO Zhen-mei4), WEN Yuan-liang4)

1) China University of Geosciences(Beijing), Beijing 100083;

2) China Geological Environmental Monitoring Institute, Beijing 100081;

3) China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083; 4) Institute of Mineral Resources Research, China Metallurgical Geology Bureau, Beijing 100025

Abstract: To overcome arbitrariness and subjectivity of the weight calculation and classification in the assessment method used widely for mine geological environment at present, this paper attempts to introduce weights-of-evidence modeling into the study of mine geological environment assessment. Six evidence themes related to mine geological environment, i.e., mining development, slope, aspect, altitude, geological structure and vegetation fraction, were generated using geographical information system (GIS) spatial analysis techniques. Weights-of-evidence modeling was applied to calculating weights for each evidential theme, and conditional independence was tested to assist the acceptance or rejection of evidential themes as predictors. Predictor themes were combined to create the posterior probability map. The assessment of geological environment in the south of Jiangxi Province for the rare-earth mine was accomplished using Cumulative Area-Posterior Probability method. The results show that the regions with poor geological environment are mainly distributed in the southeastern and western parts of the study area. It is shown that mining development has the greatest effect on the geological environment of the study area. The efficiency curves were used to validate the model. The validation showed a high success rate (90.1%) and prediction rate (89.5%). The analysis indicates that the weights-of-evidence modeling can avoid the influence of subjective judgment effectively. The modeling has a good reproducibility because of its objective nature and is useful in the assessment of mine geological environment.

本文由中國地質(zhì)調(diào)查局地質(zhì)礦產(chǎn)調(diào)查評價專項“典型礦山地質(zhì)環(huán)境問題遙感調(diào)查與評價”(編號: 1212011220086)資助。 收稿日期: 2014-04-03; 改回日期: 2014-07-13。責(zé)任編輯: 魏樂軍。

第一作者簡介: 馬偉, 男, 1984年生。博士研究生。主要從事資源與環(huán)境遙感研究工作。通訊地址: 100025, 北京市朝陽區(qū)姚家園路105

號。E-mail: mawei@。

*通訊作者: 王潤生, 男, 1944年生。博士生導(dǎo)師。主要從事高光譜遙感、遙感數(shù)據(jù)處理及國土資源遙感方面的研究。

E-mail: agrsw2010@。

  本文關(guān)鍵詞：基于證據(jù)權(quán)法的贛南稀土礦山地質(zhì)環(huán)境評價，由筆耕文化傳播整理發(fā)布。