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Determination of trace element provenance, Rio Loa basin, northern Chile.

机译:智利北部里约洛阿盆地痕量元素来源的测定。

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摘要

The Atacama Desert, located between the Pacific Ocean and the Andes in northern Chile and southern Peru, is one of the driest regions on the planet. In spite of the extreme aridity, the Atacama is traversed by the Rio Loa, a perennial river which owes its continuous flow to precipitation and runoff at high elevations (>4000 m) along the western Andes, and the emergence of groundwater from thick alluvial aquifers. Water within the Rio Loa is an extremely important resource, but its water and sediment are contaminated, exhibiting levels of trace metals and metalloids that exceed drinking water standards (e.g., for arsenic) and threshold effect guidelines for aquatic biota (e.g., for copper, cadmium, antimony, and zinc). Previous studies, combined with data collected in 2009, suggest that trace metals/metalloids are derived from multiple sources, including El Tatio (a large geyser basin) and three large copper mines. Determination of the relative contribution of contaminants to the river from the geyser basin and the mines has proven problematic using spatial patterns in arsenic concentrations. This study utilizes both total elemental concentrations (arsenic, antimony, copper, and lead) along with isotopes of antimony and lead to distinguish contaminant sources in the Rio Loa. Additionally, a sequential extraction procedure provided additional geochemical understanding of the elemental dispersal pathways via sediment binding.;Isotopes of antimony and lead did not provide enough information to distinguish contaminant sources. Total concentrations of arsenic, antimony, and copper proved to be more informative, the largest source of copper contamination was determined to be the copper mining operations of El Abra, Radiomiro Tomic, and Chuquicamata. But mining did not input significant quantities of arsenic or antimony, both of which were found in very high concentrations within the Rio Loa. Results showed that El Tatio Geyser Basin input most of the arsenic and antimony contamination. For this reason, a ratio of antimony/copper proved to be a good contaminant tracer to distinguish and quantify contaminated sediment from El Tatio and mining operations. This ratio was applied to floodplain cores and older terrace deposits to determine how sediments have been distributed within the basin over time.;The El Tatio Geyser Basin proved to be the largest contaminator within the Rio Loa basin, mostly due to older terrace deposits, which are high in contamination from El Tatio, continually being eroded and re-worked into the floodplains and channel bed deposits of the lower reaches of the Rio Loa. Contaminated sediment from copper mining operations was not as relevant of a concern because copper transport downstream is inhibited by its adsorption onto Fe-Mn oxide rich particles, which are quickly deposited and/or diluted within the Rio San Salvador (a tributary) before reaching the Rio Loa.
机译:阿塔卡马沙漠位于太平洋和智利北部和秘鲁南部的安第斯山脉之间,是地球上最干旱的地区之一。尽管极度干旱,阿塔卡马河仍被里奥罗阿河横穿,这条常年河流由于其连续不断的流动而得益于沿安第斯山脉西部高海拔地区(> 4000 m)的降雨和径流,以及厚冲积含水层中地下水的出现。 Rio Loa内的水是极其重要的资源,但其水和沉积物受到污染,其微量金属和准金属的含量超过饮用水标准(例如,砷)和水生生物(例如,铜,镉,锑和锌)。先前的研究与2009年收集的数据相结合,表明痕量金属/准金属来自多种来源,包括El Tatio(一个大间歇泉盆地)和三个大型铜矿。使用砷浓度的空间格局证明了确定间歇泉盆地和矿山对河流污染物的相对贡献是有问题的。这项研究利用总元素浓度(砷,锑,铜和铅)以及锑和铅的同位素来区分里约洛阿州的污染物来源。此外,顺序提取程序通过沉积物结合提供了对元素扩散途径的更多地球化学理解。锑和铅的同位素没有提供足够的信息来区分污染物来源。砷,锑和铜的总浓度被证明具有更丰富的信息,最大的铜污染源被确定为El Abra,Radiomiro Tomic和Chuquicamata的铜矿开采活动。但是采矿并未输入大量的砷或锑,在里约热内卢州发现这两种元素的浓度都很高。结果表明,El Tatio间歇泉盆地输入了大部分砷和锑污染。因此,锑/铜的比例被证明是很好的污染物示踪剂,用于区分和量化El Tatio和采矿作业中被污染的沉积物。该比率应用于洪泛区核心和较旧的阶地沉积物,以确定沉积物随时间的分布情况。El Tatio间歇泉盆地被证明是里约洛亚盆地内最大的污染物,这主要是由于较旧的阶地沉积物所致。 El Tatio的污染物含量很高,不断被侵蚀并重新加工到Rio Loa下游的洪泛区和河床沉积物中。铜矿开采过程中污染的沉积物没有引起人们的关注,因为下游铜的运输受到其吸附在富铁锰氧化物颗粒上的抑制,这些颗粒在到达圣萨尔瓦多(支流)之前迅速沉积和/或稀释在里约圣萨尔瓦多(支流)中。 Rio Loa。

著录项

  • 作者

    Wilson, Leslie Rae.;

  • 作者单位

    Western Carolina University.;

  • 授予单位 Western Carolina University.;
  • 学科 Environmental Geology.;Geochemistry.;Chemistry Analytical.
  • 学位 M.S.
  • 年度 2011
  • 页码 76 p.
  • 总页数 76
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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