D. Krabbenhoft | Search USGS

USGS2009

Obtaining parsimonious hydraulic conductivity fields using head and transport observations: A Bayesian geostatistical parameter estimation approach

Flow path delineation is a valuable tool for interpreting the subsurface hydrogeochemical environment. Different types of data, such as groundwater flow and transport, inform different aspects of hydrogeologic parameter values (hydraulic conductivity in this case) which, in turn, determine flow paths. This work combines flow and transport information to estimate a unified set of hydrogeologic parameters using the Bayesian geostatistical inverse approach. Parameter flexibility is allowed by using a highly parameterized approach with the level of complexity informed by the data. Despite the effort to adhere to the ideal of minimal a priori structure imposed on the problem, extreme contrasts in parameters can result in the need to censor correlation across hydrostratigraphic bounding surfaces. These partitions segregate parameters into facies associations. With an iterative approach in which partitions are based on inspection of initial estimates, flow path interpretation is progressively refined through the inclusion of more types of data. Head observations, stable oxygen isotopes ( 18 O/ 16 O ratios), and tritium are all used to progressively refine flow path delineation on an isthmus between two lakes in the Trout Lake watershed, northern Wisconsin, United States. Despite allowing significant parameter freedom by estimating many distributed parameter values, a smooth field is obtained.

Water Resources Research↗

USGS2000

Methyl-mercury degradation pathways: A comparison among three mercury impacted ecosystems

We examined microbial methylmercury (MeHg) degradation in sediment of the Florida Everglades, Carson River (NV), and San Carlos Creek (CA), three freshwater environments that differ in the extent and type of mercury contamination and sediment biogeochemistry. Degradation rate constant ( k deg ) values increased with total mercury (Hg t ) contamination both among and within ecosystems. The highest k deg 's (2.8−5.8 d - 1 ) were observed in San Carlos Creek, at acid mine drainage impacted sites immediately downstream of the former New Idria mercury mine, where Hg t ranged from 4.5 to 21.3 ppm (dry wt). A reductive degradation pathway (presumably mer -detoxification) dominated degradation at these sites, as indicated by the nearly exclusive production of 14 CH 4 from 14 C-MeHg, under both aerobic and anaerobic conditions. At the upstream control site, and in the less contaminated ecosystems (e.g. the Everglades), k deg 's were low (≤0.2 d - 1 ) and oxidative demethylation (OD) dominated degradation, as evident from 14 CO 2 production. k deg increased with microbial CH 4 production, organic content, and reduced sulfur in the Carson River system and increased with decreasing pH in San Carlos Creek. OD associated CO 2 production increased with pore-water SO 4 2- in Everglades samples but was not attributable to anaerobic methane oxidation, as has been previously proposed. This ecosystem comparison indicates that severely contaminated sediments tend to have microbial populations that actively degrade MeHg via mer -detoxification, whereas OD occurs in heavily contaminated sediments as well but dominates in those less contaminated.

Environmental Science & Technology↗