Using UAVs to collect filtered water samples for mineral exploration: Will it take off?

IF 3.4 2区 地球科学 Q1 GEOCHEMISTRY & GEOPHYSICS Journal of Geochemical Exploration Pub Date : 2024-11-05 DOI:10.1016/j.gexplo.2024.107617
James A. Kidder , Alain Grenier , Bradley J.A. Harvey , Christopher E. Beckett-Brown , M. Beth McClenaghan , Pierre Pelchat , Jing Zhang , Daniel Layton-Matthews , Frank Oliva
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Abstract

The advent of unmanned aerial vehicle (UAV) assisted surface water sampling and ongoing technological advances in sampling and data acquisition, offers many opportunities to conduct high-quality hydrogeochemical surveys with low cost, high efficiency, and reduced human interactions. Hydrogeochemical mineral exploration is one area that could greatly benefit from a UAV sampling revolution, with survey sites often located in highly remote areas with limited existing infrastructure. Currently, a lack of point source filtration and complicated physiochemical data acquisition hinder mainstream UAV deployment in the context of hydrogeochemical studies. The aim of this paper is to provide guidance on effective UAV sampling methods and physiochemical data collection for use in surface water hydrogeochemical mineral exploration. To date, case study surveys have utilized sampling systems where sampled waters are filtered after collection or analyzed for ‘total’ (unfiltered) concentrations. This paper details a methodology for point-source filtration of water samples using a UAV system to recover filter sample aliquots for the determination of ‘dissolved’ (<0.45 μm) trace element concentrations and compares UAV methods to conventional sampling strategies. This study systematically compares the quality of analytical data collected from lakes, ponds, and rivers in the Long Lake area of southern Ontario, using conventional manual sampling (from a boat or canoe) and a series of UAV-based sampling methodologies. The waters sampled within the study area are highly meteoric and show evidence of solute input from water-rock interaction with local country rocks. The results of this study show that in general, conventional sampling methodologies are statistically comparable to samples collected using UAVs. However, there is some evidence of element variation related to lake stratification, with dissolved Cu concentrations higher in samples collected at depth compared to those from the surface. Similarly, samples filtered after collection typically have lower concentrations of Fe and Mn, potentially resulting from precipitation before filtration. An enclosed sampling system offered from peristaltic pumping with in-line filtration removes the potential for contamination from the surrounding environment and from the UAV itself.
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使用无人机收集矿物勘探的过滤水样:它会起飞吗?
无人机(UAV)辅助地表水采样的出现,以及采样和数据采集技术的不断进步,为进行低成本、高效率、减少人类互动的高质量水文地球化学调查提供了许多机会。水文地球化学矿产勘探是一个可以从无人机采样革命中受益匪浅的领域,调查地点通常位于现有基础设施有限的高度偏远地区。目前,缺乏点源过滤和复杂的物化数据采集阻碍了主流无人机在水文地球化学研究中的部署。本文旨在为地表水水文地球化学矿产勘查提供有效的无人机采样方法和物化数据采集指导。迄今为止,案例研究调查使用了采样系统,其中采样水在收集后进行过滤或分析“总”(未过滤)浓度。本文详细介绍了一种使用无人机系统对水样进行点源过滤的方法,以回收过滤样品的当量,以测定“溶解”(<0.45 μm)微量元素浓度,并将无人机方法与传统采样策略进行了比较。本研究系统地比较了从安大略省南部长湖地区的湖泊、池塘和河流中收集的分析数据的质量,使用传统的人工采样(从船或独木舟上)和一系列基于无人机的采样方法。在研究区域内取样的水具有高度的大气性,并显示出水岩与当地乡村岩石相互作用的溶质输入的证据。这项研究的结果表明,一般来说,传统的抽样方法在统计上与使用无人机收集的样本相当。然而,有一些证据表明元素的变化与湖泊分层有关,在深度收集的样品中溶解的Cu浓度高于从表面收集的样品。同样,收集后过滤的样品通常具有较低的铁和锰浓度,可能是过滤前沉淀的结果。由蠕动泵和在线过滤提供的封闭式采样系统消除了来自周围环境和无人机本身的潜在污染。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Geochemical Exploration
Journal of Geochemical Exploration 地学-地球化学与地球物理
CiteScore
7.40
自引率
7.70%
发文量
148
审稿时长
8.1 months
期刊介绍: Journal of Geochemical Exploration is mostly dedicated to publication of original studies in exploration and environmental geochemistry and related topics. Contributions considered of prevalent interest for the journal include researches based on the application of innovative methods to: define the genesis and the evolution of mineral deposits including transfer of elements in large-scale mineralized areas. analyze complex systems at the boundaries between bio-geochemistry, metal transport and mineral accumulation. evaluate effects of historical mining activities on the surface environment. trace pollutant sources and define their fate and transport models in the near-surface and surface environments involving solid, fluid and aerial matrices. assess and quantify natural and technogenic radioactivity in the environment. determine geochemical anomalies and set baseline reference values using compositional data analysis, multivariate statistics and geo-spatial analysis. assess the impacts of anthropogenic contamination on ecosystems and human health at local and regional scale to prioritize and classify risks through deterministic and stochastic approaches. Papers dedicated to the presentation of newly developed methods in analytical geochemistry to be applied in the field or in laboratory are also within the topics of interest for the journal.
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