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作 者:李勇[1] 曹广祝[1] 覃荣高[1] 邱仁敏 樊迎军 LI Yong;CAO Guang-zhu;QIN Rong-gao;QIU Ren-min;FAN Ying-jun(Faculty of Land and Resources Engineering,Kunming University of Science and Technology,Kunming 650093,China;Yunnan Hubai Environmental Protection Science and Technology Co.Ltd.,Kunming 650228,China;School of Earth and Environment,Anhui University of Science and Technology,Huainan 232001,Anhui,China)
机构地区:[1]昆明理工大学国土资源工程学院,昆明650093 [2]云南湖柏环保科技有限公司,昆明650228 [3]安徽理工大学地球与环境学院,安徽淮南232001
出 处:《矿冶》2022年第5期98-104,共7页Mining And Metallurgy
基 金:国家自然科学基金资助项目(41867031)。
摘 要:开展地下水质量评价,划分地下水水质等级,对矿山地下水资源的保护利用有重要意义。依据《地下水水质标准》(GB/T 14848—2017),选取总硬度、溶解性总固体、硫酸盐、氯化物、铁、硝酸盐、亚硝酸盐和氨氮8项评价指标作为判别因子,以28组地下水数据为样本,建立距离判别预测(DDA)模型,利用得到的线性判别函数对样本进行分级,用回代估计检验其模型,并将模型用于云南东川桃树坪铜矿采空区地下水质量评价分析。结果表明:采用距离判别分析法对矿山采空区地下水质量进行分级预测的准确率较高,得到模型预测值与实际结果值完全一致。研究结果可为类似矿山地下水的质量评价分级预测提供新思路和新方法。It is of great significance for the protection and utilization of mine groundwater resources to carry out groundwater quality evaluation and classify groundwater quality.According to the standard for groundwater quality(GB/T 14848—2017),eight evaluation indexes including total hardness,total dissolved solids,sulfate,chloride,iron,nitrate,nitrite and ammonia nitrogen are selected as the discriminant factors,and 28 groups of groundwater data are taken as samples to establish the distance discriminant prediction(DDA)model.The samples are graded by the obtained linear discriminant function,and the model is tested by the back estimation.The model is applied to the evaluation and analysis of groundwater quality in the mined out area of Taoshuping Copper Mine in Dongchuan,Yunnan Province.The results show that the distance discriminant analysis method has a high accuracy in the classification prediction of groundwater quality in the mine goaf,and the predicted value of the model is completely consistent with the actual value.The research results can provide new ideas and methods for the quality evaluation and classification prediction of groundwater in similar mines.
关 键 词:铜矿采空区 地下水质量评价 距离判别分析(DDA) 分级预测
分 类 号:X824[环境科学与工程—环境工程]
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