A Validated Method for Pit Lake Water Sampling Using Aerial Drones and Sampling Devices

Author:

Castendyk Devin,Voorhis Jimmy,Kucera Bradley

Abstract

AbstractPit lakes present significant safety risks for boat-based water sampling crews. The Matrice-HydraSleeve method improves the safety of water sampling in pit lakes by eliminating the need for a boat-based sampling crew. The method connects an off-the-shelf unmanned aircraft system, or drone (DJI, Matrice 600) to an off-the-shelf water sampling device (GeoInsight, HydraSleeve). It is capable of collecting 1.75 L water samples from up to 122 m deep and is simpler than previous drone water sampling methods. To validate the method, water samples were collected from similar depths in Dillon Reservoir, Colorado, USA using the Matrice-HydraSleeve method and traditional boat sampling methods using a Van Dorn water sample bottle. Concentrations of Ca, Na, K, HCO3, SO4, Cl, and Zn showed less than 20% relative percent difference, and concentrations of Cd were within ± the detection limit, meaning variability between samples met the data quality objective for duplicate samples. The method was also used on two occasions to collect eight water samples from the 101 m deep pit lake at the Thompson Creek mine in Idaho, USA including a sample from 92 m deep. Calcium and sodium concentration profiles were nearly identical, indicating little change in water chemistry and providing confidence in the method. In situ profiles of temperature and electrical conductivity collected with a conductivity-temperature-depth probe (YSI, CastAway) suspended below the drone indicated the lake was meromictic during both sampling events. To date, the Matrice-HydraSleeve method has been used at 10 pit lakes in the USA to collect 81 samples. Use of this method at other pit lakes has the potential to improve safety while lowering sampling costs and increasing data acquisition, leading to better pit lake management.

Publisher

Springer Science and Business Media LLC

Subject

Geotechnical Engineering and Engineering Geology,Water Science and Technology

Reference28 articles.

1. AC (2019) Drone swoops into aid Safeswim water sampling. Our Auckland, an online publication of Auckland City Council (AC). https://ourauckland.aucklandcouncil.govt.nz/articles/news/2019/05/drone-swoops-in-to-aid-safeswim-water-sampling/. Accessed 11 Aug 2019

2. Beck C (2018) Keynote presentation. In: Annual Meeting, Society of mining, metallurgy, and exploration. Minneapolis

3. Castendyk D, Eary LE (eds) (2009) Mine pit lakes; characteristics, predictive modelling, and sustainability. Society of Mining, Metallurgy and Exploration, Littleton

4. Castendyk D, Straight B, Filiatreault P, Thibeault S, Cameron L (2017) Aerial drones used to sample pit lake water quality reduce costs and improve safety. Min Eng 69(7):20–28

5. Castendyk D, Hill B, Filiatreault P, Straight B, Alangari A, Cote P, Leishman W (2018) Experiences with autonomous sampling of pit lakes in North America using drone aircraft and drone boats. In: Wolkersdoffer C, Sartz L, Weber A, Burgess J, Tremblay G (eds) Proceedings of 11th International Conference on acid rock drainage (ICARD) and International Mine Water Association (IMWA) annual conference, vol 2, pp 1036–1041

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