ORCID Profile
0000-0002-7879-6008
Current Organisation
Natural Resources Canada
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Publisher: IEEE
Date: 07-2006
Publisher: Informa UK Limited
Date: 2006
DOI: 10.5589/M06-014
Publisher: Geological Society of London
Date: 22-08-2013
Publisher: MDPI AG
Date: 05-01-2023
DOI: 10.3390/RS15020313
Abstract: Fugitive dust arising from mining operations in the Arctic can be a concern to surrounding communities. The Mary River Mine operation on northwest Baffin Island in the Qikiqtani region, Nunavut, is one ex le. Yet, the short and long-term impacts of fugitive dust remain poorly understood. Dust lowers snow albedo which can contribute to early snowmelt. This influences the spring snowmelt freshet period, significant to the land-atmosphere interactions, hydrology, ecology, and socioeconomic activities in the Arctic. Here, we map dust extents indicated by snow discoloration and examine for areas of early snowmelt using a 21-year MODIS time series snow cover product in 2000–2020. We found an episode of dust plume extended far beyond the reference dust s ler sites from where Nil dustfall is detected. A snow albedo decrease of 0.014 was seen more than 60 km away from the mine site. Incidents of early snowmelt existed extensively and progressively prior to the Mary River Mine operations however, localized and even earlier snowmelt also appear around Mine’s operations we estimated that the snow-off date was advanced by one week and three weeks for the background, and areas around the Mine facilities, respectively, during the 21-year period. Furthermore, the area increase in early snowmelt around the Mine facilities correlates to ore production growth. This study demonstrates rapid changes in early snowmelt beyond observed regional trends when additional drivers are introduced.
Publisher: Natural Resources Canada/CMSS/Information Management
Date: 2022
DOI: 10.4095/330548
Abstract: Diamond mining via open pit mining has been ongoing within the Tlicho region of the Northwest Territories for several decades, which includes the habitat range of the Bathurst Caribou Herd. This has led to the importance of quantitative characterization of the Zone Of Influence (ZOI), where resource development activities may be influencing the natural behaviour of the caribou herd in the tundra environment. As part of better defining and understanding the ZOI in this region, an initiative to evaluate the potential of detecting and mapping mine waste rock dust in the surrounding environment is explored. This dust has been shown to coat foliage near roads, influencing the acidity levels of the surficial soil layer and impacting the foliage distribution. To this end, field spectrometry was acquired at various distances from road ways. Satellite imagery from the Proba-1 CHRIS hyperspectral sensor and the multi-spectral Sentinel-2a system were also acquired of the region. This presentation presents the initial spectral analysis pursued to evaluate the potential to remotely spectrally detect waste rock dust material used in road construction in the surrounding tundra vegetation. Initial analysis of the Proba-1 CHRIS hyperspectral imagery shows spectral indicators of fugitive dust and waste rock easily detects the road and suggests detectable dust concentration above ambient up to a distance of under 1km from the road.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2009
Publisher: Natural Resources Canada/CMSS/Information Management
Date: 2017
DOI: 10.4095/304278
Publisher: Natural Resources Canada/CMSS/Information Management
Date: 2020
DOI: 10.4095/326066
Publisher: Springer Science and Business Media LLC
Date: 18-11-2021
Publisher: Elsevier BV
Date: 03-2001
Publisher: Natural Resources Canada/CMSS/Information Management
Date: 2007
DOI: 10.4095/224133
Publisher: IEEE
Date: 06-2012
Publisher: Informa UK Limited
Date: 2008
DOI: 10.5589/M07-067
Publisher: Society of Economic Geologists
Date: 15-04-2015
Publisher: American Geophysical Union (AGU)
Date: 25-03-1993
DOI: 10.1029/92JE02809
Publisher: Natural Resources Canada/CMSS/Information Management
Date: 2004
DOI: 10.4095/220096
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2001
DOI: 10.1109/36.921425
Publisher: Natural Resources Canada/CMSS/Information Management
Date: 2013
DOI: 10.4095/291594
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2013
Publisher: Springer Science and Business Media LLC
Date: 11-08-2021
Publisher: Elsevier BV
Date: 12-2021
Publisher: IEEE
Date: 2007
Publisher: Natural Resources Canada/CMSS/Information Management
Date: 2019
DOI: 10.4095/314595
Publisher: IEEE
Date: 07-2006
Publisher: Society of Economic Geologists
Date: 23-05-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2002
Publisher: Informa UK Limited
Date: 12-2002
DOI: 10.5589/M02-908
Publisher: Natural Resources Canada/CMSS/Information Management
Date: 2016
DOI: 10.4095/297768
Publisher: IEEE
Date: 2005
Publisher: Natural Resources Canada/CMSS/Information Management
Date: 2020
DOI: 10.4095/326159
Publisher: Elsevier BV
Date: 06-2022
DOI: 10.1016/J.SCITOTENV.2022.153409
Abstract: This study compares select dust s ling apparatuses and monitoring methods by investigating fugitive tailings dust transport and deposition at an abandoned Zn-Pb-Cu mine located in eastern, Canada. The s ling apparatuses and monitoring methods are compared in terms of capturing seasonal trends and spatial extent, as well as the ability to evaluate impacts to aquatic ecosystems. Methods evaluated include satellite imagery, lichen tissue analysis, passive dry deposition collectors (Pas-DDs) with two different configurations, dust deposition gauges (DDGs) and a high volume total suspended particulate (Hi-Vol TSP) s ler. All methods utilized demonstrated benefits and challenges in relation to seasonal s ling and determining spatial extent of dust deposition. Results indicate that the polyurethane foam disk configuration of the Pas-DD s ler efficiently accumulates dust in comparison to the glass fiber filter configuration and DDGs which both likely underestimate dust deposition. Lichen and satellite imagery were shown to be effective tools for identifying areas of interest and extent of contamination. At the study site, it was observed that dust deposition was highest in the winter months and lowest in the summer months, likely due to increased erosion in winter weather conditions (higher wind speeds and/or freeze drying effect).
Publisher: Natural Resources Canada/CMSS/Information Management
Date: 2016
DOI: 10.4095/299442
Publisher: Natural Resources Canada/CMSS/Information Management
Date: 2020
DOI: 10.4095/326160
Publisher: Natural Resources Canada/CMSS/Information Management
Date: 2022
DOI: 10.4095/330556
Abstract: In the early morning on the 4th of August 2014, a tailings dam near Quesnel, BC burst, spilling approximately 25 million m3 of runoff containing heavy metal elements into nearby Quesnel Lake (Byrne et al. 2018). The runoff slurry, which included lead, arsenic, selenium, and vanadium spilled through Hazeltine Creek, scouring its banks and picking up till and forest cover on the way, and ultimately ended up in Quesnel Lake, whose water level rose by 1.5 m as a result. While the introduction of heavy metals into Quesnel Lake was of environmental concern, the additional till and forest cover scoured from the banks of Hazeltine Creek added to the lake has also been of concern to salmon spawning grounds. Immediate repercussions of the spill involved the damage of sensitive environments along the banks and on the lake bed, the closing of the seasonal salmon fishery in the lake, and a change in the microbial composition of the lake bed (Hatam et al. 2019). In addition, there appears to be a seasonal resuspension of the tailings sediment due to thermal cycling of the water and surface winds (Hamilton et al. 2020). While the water quality of Quesnel Lake continues to be monitored for the tailings sediments, primarily by members at the Quesnel River Research Centre, the s le-and-test methods of water quality testing used, while highly accurate, are expensive to undertake, and not spatially exhaustive. The use of remote sensing techniques, though not as accurate as lab testing, allows for the relatively fast creation of expansive water quality maps using sensors mounted on boats, planes, and satellites (Ritchie et al. 2003). The most common method for the remote sensing of surface water quality is through the use of a physics-based semianalytical model which simulates light passing through a water column with a given set of Inherent Optical Properties (IOPs), developed by Lee et al. (1998) and commonly referred to as a Radiative Transfer Model (RTM). The RTM forward-models a wide range of water-leaving spectral signatures based on IOPs determined by a mix of water constituents, including natural materials and pollutants. Remote sensing imagery is then used to invert the model by finding the modelled water spectrum which most closely resembles that seen in the imagery (Brando et al 2009). This project set out to develop an RTM water quality model to monitor the water quality in Quesnel Lake, allowing for the entire surface of the lake to be mapped at once, in an effort to easily determine the timing and extent of resuspension events, as well as potentially investigate greening events reported by locals. The project intended to use a combination of multispectral imagery (Landsat-8 and Sentinel-2), as well as hyperspectral imagery (DESIS), combined with field calibration/validation of the resulting models. The project began in the Autumn before the COVID pandemic, with plans to undertake a comprehensive fieldwork c aign to gather model calibration data in the summer of 2020. Since a province-wide travel shutdown and social distancing procedures made it difficult to carry out water quality surveying in a small boat, an insufficient amount of fieldwork was conducted to suit the needs of the project. Thus, the project has been put on hold, and the primary researcher has moved to a different project. This document stands as a report on all of the work conducted up to April 2021, intended largely as an instructional document for researchers who may wish to continue the work once fieldwork may freely and safely resume. This research was undertaken at the University of Ottawa, with supporting funding provided by the Earth Observations for Cumulative Effects (EO4CE) Program Work Package 10b: Site Monitoring and Remediation, Canada Centre for Remote Sensing, through the Natural Resources Canada Research Affiliate Program (RAP).
Publisher: Informa UK Limited
Date: 10-2005
DOI: 10.5589/M05-020
Publisher: IEEE
Date: 06-2011
Publisher: Elsevier BV
Date: 05-1992
Publisher: American Geophysical Union (AGU)
Date: 11-1999
DOI: 10.1029/1999JD900098
Publisher: IEEE
Date: 07-2006
Publisher: IEEE
Date: 2007
Publisher: IEEE
Date: 06-2010
No related grants have been discovered for H. Peter White.