“…Metal-rich sediment is quickly diluted by un-enriched tributary sediments, attenuating the anomaly a short distance downstream. Even the largest ore deposits rarely have dispersion trains detectable more than 10-20 km downstream, a fact well documented in the exploration geochemistry literature ( 25). Exploration geochemists first realized that the downstream dispersion of naturally occurring metal anomalies was primarily governed by dilution mixing with tributary sediments.…”
Section: Model Developmentmentioning
confidence: 96%
“…Even the largest ore deposits ra re ly have dispersion tra in s detectable m ore than 10-20 kilom eters downstream , a fa ct w ell docum ented in the e xp lo ra tio n geochem istry h te ra tu re (Bradshaw, 1975;Bogoch and Brenner, 1977;Lovering and McCarthy, 1978;M cLaurin, 1978;Bussey et al, 1993). Exploration geochemists studying dispersion tra in s firs t reaUzed th a t the dow nstream concentrations.…”
Section: Model Developmentmentioning
confidence: 99%
“…Figure 7 shows m odel fits to fo u r contam inated rive rs. In each case, an acceptable f it to the sedim ent data was achieved using the measured param eters and a best- P rio r to m in in g , m etal levels greater th a n twice th e regional background ra re ly extend m ore than 20 kilom eters dow nstream , even fo r the largest ore deposits (Bradshaw, 1975;Bogoch and Brenner, 1977;Lovering and M cCarthy, 1978;M cLaurin, 1978;Bussey et al, 1993). By contrast, m etal levels o f twice the regional background were fo u n d to extend 500 km dow nstream in one o f the contam inated riv e r systems exam ined ( Figure 8A).…”
Section: R Esultsmentioning
confidence: 99%
“…The lengths of the calculated dispersion trains are within the range of reported dispersion trains for undisturbed ore deposits. Prior to mining, metal levels greater than twice the regional background rarely extend more than 20 km downstream, even for the largest ore deposits ( − ). By contrast, metal levels of twice the regional background were found to extend 500 km downstream in one of the contaminated river systems examined (Figure a).…”
Historic and current mining activities have contaminated stream sediments around the world with toxic heavy metals. A general lack of premining baseline data makes it difficult to quantify the extent of contamination and to set realistic remediation goals. These problems can be solved by modeling the downstream dispersion of metal anomalies based on dilution mixing of anomalous and tributary sediments. The model allows calculation of the dispersion curves of metals in stream sediments both before and after mining and also allows the quantification of any anthropogenic exaggeration of an anomaly. Mining activities were found to amplify naturally occurring metal anomalies up to 3 orders of magnitude, extending downstream dispersion trains from a natural limit of around 20 km to as much as 500 km. The dilution mixing model provides a useful tool for calculating premining dispersion trains and quantifying the effects of mining on a river basin. Such information is relevant to the understanding, litigation, and remediation of contaminated rivers around the world.
“…Metal-rich sediment is quickly diluted by un-enriched tributary sediments, attenuating the anomaly a short distance downstream. Even the largest ore deposits rarely have dispersion trains detectable more than 10-20 km downstream, a fact well documented in the exploration geochemistry literature ( 25). Exploration geochemists first realized that the downstream dispersion of naturally occurring metal anomalies was primarily governed by dilution mixing with tributary sediments.…”
Section: Model Developmentmentioning
confidence: 96%
“…Even the largest ore deposits ra re ly have dispersion tra in s detectable m ore than 10-20 kilom eters downstream , a fa ct w ell docum ented in the e xp lo ra tio n geochem istry h te ra tu re (Bradshaw, 1975;Bogoch and Brenner, 1977;Lovering and McCarthy, 1978;M cLaurin, 1978;Bussey et al, 1993). Exploration geochemists studying dispersion tra in s firs t reaUzed th a t the dow nstream concentrations.…”
Section: Model Developmentmentioning
confidence: 99%
“…Figure 7 shows m odel fits to fo u r contam inated rive rs. In each case, an acceptable f it to the sedim ent data was achieved using the measured param eters and a best- P rio r to m in in g , m etal levels greater th a n twice th e regional background ra re ly extend m ore than 20 kilom eters dow nstream , even fo r the largest ore deposits (Bradshaw, 1975;Bogoch and Brenner, 1977;Lovering and M cCarthy, 1978;M cLaurin, 1978;Bussey et al, 1993). By contrast, m etal levels o f twice the regional background were fo u n d to extend 500 km dow nstream in one o f the contam inated riv e r systems exam ined ( Figure 8A).…”
Section: R Esultsmentioning
confidence: 99%
“…The lengths of the calculated dispersion trains are within the range of reported dispersion trains for undisturbed ore deposits. Prior to mining, metal levels greater than twice the regional background rarely extend more than 20 km downstream, even for the largest ore deposits ( − ). By contrast, metal levels of twice the regional background were found to extend 500 km downstream in one of the contaminated river systems examined (Figure a).…”
Historic and current mining activities have contaminated stream sediments around the world with toxic heavy metals. A general lack of premining baseline data makes it difficult to quantify the extent of contamination and to set realistic remediation goals. These problems can be solved by modeling the downstream dispersion of metal anomalies based on dilution mixing of anomalous and tributary sediments. The model allows calculation of the dispersion curves of metals in stream sediments both before and after mining and also allows the quantification of any anthropogenic exaggeration of an anomaly. Mining activities were found to amplify naturally occurring metal anomalies up to 3 orders of magnitude, extending downstream dispersion trains from a natural limit of around 20 km to as much as 500 km. The dilution mixing model provides a useful tool for calculating premining dispersion trains and quantifying the effects of mining on a river basin. Such information is relevant to the understanding, litigation, and remediation of contaminated rivers around the world.
“…Gold-silver ore is present in veins, breccia, banded quartz veins, and pyrite with late opaline quartz. Ores are enriched in arsenic, antimony, mercury, and molybdenum Rytuba, 1989;Peters and others, 1987;Bussey andothers, 1991, 1993).…”
Section: Northwest Zone Hot-spring Tractsmentioning
This report is preliminary and has not been reviewed for conformity with U.S. Geological Survey editorial standards or with the North American Stratigraphic Code. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
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