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作 者:宁增平[1,2] 肖唐付[1] 周连碧[3] 贾彦龙[1,2] 孙嘉龙[1,2] 何立斌[1,2] 杨菲[1,2] 李航[1,2] 彭景权[1,2]
机构地区:[1]中国科学院地球化学研究所环境地球化学国家重点实验室,贵州贵阳550002 [2]中国科学院研究生院,北京100039 [3]北京矿冶研究总院,北京100044
出 处:《地球与环境》2009年第3期249-253,共5页Earth and Environment
基 金:中国科学院知识创新工程重要方向项目(kzcx2-yw-135);国家科技支撑计划项目(2006BAC09B04)
摘 要:酸性岩排水(ARD)潜力预测研究对于预防、控制和治理金属矿山环境污染问题具有重要意义。本文应用酸碱估算法(ABA)和净产酸测试法(NAG),对贵州独山半坡锑矿区的19个代表性样品进行了产酸潜力评价,并应用各种分类标准对样品进行产酸能力分类。研究结果表明,所有的(废)矿石样品都具有产酸潜力(PAF),需要对(废)矿石进行有效的防控,以阻止酸性岩排水的产生。围岩样品的产酸潜力取决于采样点,尾矿样品没有产酸潜力(NAF)。ABA和NAG测试结果表明NAPP和NAGpH分类评价法适用于本研究区内样品ARD的预测评估。The prediction of acid rock drainage (ARD) generation potential is of importance to prevent and control environmental pollution in mining areas. Nineteen representative samples collected from the Banpo Antimony Mine in Guizhou, were investigated for their acid generation potential using acid base accounting (ABA) and net acid generation (NAG) tests, and classified as a variety of classification criteria. The results suggested that all (waste) ore rock samples have potential to generate acid. So effective measures are expected to be taken to prevent acid rock drainage generating. The ARD generation potential of wall rocks depends on the sampling sites, and the waste tailing samples have no potential to produce acid drainage. In addition, these results confirmed that ABA and NAG tests are helpful tools for preliminary evaluation of acid generation potential in the study area.
分 类 号:X5[环境科学与工程—环境工程]
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