Cargando…
Synoptic sampling and principal components analysis to identify sources of water and metals to an acid mine drainage stream
Combining the synoptic mass balance approach with principal components analysis (PCA) can be an effective method for discretising the chemistry of inflows and source areas in watersheds where contamination is diffuse in nature and/or complicated by groundwater interactions. This paper presents a fie...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5508047/ https://www.ncbi.nlm.nih.gov/pubmed/28589273 http://dx.doi.org/10.1007/s11356-017-9038-x |
_version_ | 1783249838028095488 |
---|---|
author | Byrne, Patrick Runkel, Robert L. Walton-Day, Katherine |
author_facet | Byrne, Patrick Runkel, Robert L. Walton-Day, Katherine |
author_sort | Byrne, Patrick |
collection | PubMed |
description | Combining the synoptic mass balance approach with principal components analysis (PCA) can be an effective method for discretising the chemistry of inflows and source areas in watersheds where contamination is diffuse in nature and/or complicated by groundwater interactions. This paper presents a field-scale study in which synoptic sampling and PCA are employed in a mineralized watershed (Lion Creek, Colorado, USA) under low flow conditions to (i) quantify the impacts of mining activity on stream water quality; (ii) quantify the spatial pattern of constituent loading; and (iii) identify inflow sources most responsible for observed changes in stream chemistry and constituent loading. Several of the constituents investigated (Al, Cd, Cu, Fe, Mn, Zn) fail to meet chronic aquatic life standards along most of the study reach. The spatial pattern of constituent loading suggests four primary sources of contamination under low flow conditions. Three of these sources are associated with acidic (pH <3.1) seeps that enter along the left bank of Lion Creek. Investigation of inflow water (trace metal and major ion) chemistry using PCA suggests a hydraulic connection between many of the left bank inflows and mine water in the Minnesota Mine shaft located to the north-east of the river channel. In addition, water chemistry data during a rainfall-runoff event suggests the spatial pattern of constituent loading may be modified during rainfall due to dissolution of efflorescent salts or erosion of streamside tailings. These data point to the complexity of contaminant mobilisation processes and constituent loading in mining-affected watersheds but the combined synoptic sampling and PCA approach enables a conceptual model of contaminant dynamics to be developed to inform remediation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11356-017-9038-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5508047 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-55080472017-07-28 Synoptic sampling and principal components analysis to identify sources of water and metals to an acid mine drainage stream Byrne, Patrick Runkel, Robert L. Walton-Day, Katherine Environ Sci Pollut Res Int Research Article Combining the synoptic mass balance approach with principal components analysis (PCA) can be an effective method for discretising the chemistry of inflows and source areas in watersheds where contamination is diffuse in nature and/or complicated by groundwater interactions. This paper presents a field-scale study in which synoptic sampling and PCA are employed in a mineralized watershed (Lion Creek, Colorado, USA) under low flow conditions to (i) quantify the impacts of mining activity on stream water quality; (ii) quantify the spatial pattern of constituent loading; and (iii) identify inflow sources most responsible for observed changes in stream chemistry and constituent loading. Several of the constituents investigated (Al, Cd, Cu, Fe, Mn, Zn) fail to meet chronic aquatic life standards along most of the study reach. The spatial pattern of constituent loading suggests four primary sources of contamination under low flow conditions. Three of these sources are associated with acidic (pH <3.1) seeps that enter along the left bank of Lion Creek. Investigation of inflow water (trace metal and major ion) chemistry using PCA suggests a hydraulic connection between many of the left bank inflows and mine water in the Minnesota Mine shaft located to the north-east of the river channel. In addition, water chemistry data during a rainfall-runoff event suggests the spatial pattern of constituent loading may be modified during rainfall due to dissolution of efflorescent salts or erosion of streamside tailings. These data point to the complexity of contaminant mobilisation processes and constituent loading in mining-affected watersheds but the combined synoptic sampling and PCA approach enables a conceptual model of contaminant dynamics to be developed to inform remediation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11356-017-9038-x) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2017-06-06 2017 /pmc/articles/PMC5508047/ /pubmed/28589273 http://dx.doi.org/10.1007/s11356-017-9038-x Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Article Byrne, Patrick Runkel, Robert L. Walton-Day, Katherine Synoptic sampling and principal components analysis to identify sources of water and metals to an acid mine drainage stream |
title | Synoptic sampling and principal components analysis to identify sources of water and metals to an acid mine drainage stream |
title_full | Synoptic sampling and principal components analysis to identify sources of water and metals to an acid mine drainage stream |
title_fullStr | Synoptic sampling and principal components analysis to identify sources of water and metals to an acid mine drainage stream |
title_full_unstemmed | Synoptic sampling and principal components analysis to identify sources of water and metals to an acid mine drainage stream |
title_short | Synoptic sampling and principal components analysis to identify sources of water and metals to an acid mine drainage stream |
title_sort | synoptic sampling and principal components analysis to identify sources of water and metals to an acid mine drainage stream |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5508047/ https://www.ncbi.nlm.nih.gov/pubmed/28589273 http://dx.doi.org/10.1007/s11356-017-9038-x |
work_keys_str_mv | AT byrnepatrick synopticsamplingandprincipalcomponentsanalysistoidentifysourcesofwaterandmetalstoanacidminedrainagestream AT runkelrobertl synopticsamplingandprincipalcomponentsanalysistoidentifysourcesofwaterandmetalstoanacidminedrainagestream AT waltondaykatherine synopticsamplingandprincipalcomponentsanalysistoidentifysourcesofwaterandmetalstoanacidminedrainagestream |