International Scholarly Research Notices

International Scholarly Research Notices / 2012 / Article

Research Article | Open Access

Volume 2012 |Article ID 231458 |

Matthew K. Reuer, Nathan W. Bower, Jed H. Koball, Esther Hinostroza, María Erlinda De la Torre Marcas, Jaime Alberto Hurtado Surichaqui, Sherly Echevarria, "Lead, Arsenic, and Cadmium Contamination and Its Impact on Children's Health in La Oroya, Peru", International Scholarly Research Notices, vol. 2012, Article ID 231458, 12 pages, 2012.

Lead, Arsenic, and Cadmium Contamination and Its Impact on Children's Health in La Oroya, Peru

Academic Editor: E. Lazcano-Ponce
Received25 Aug 2011
Accepted03 Oct 2011
Published19 Jan 2012


The large scale of nonferrous metal smelting has created a chronic public health issue in La Oroya, Perú. In this reconnaissance study, the distributions of lead, arsenic, and cadmium in drinking water, indoor dust, and soil were measured at five sites to estimate their impact on children's health. As expected, median soil metal levels dropped exponentially with distance from the smelting complex (3,177 ppm Pb, 1,658 ppm As, and 127 ppm Cd at La Oroya Antigua). Indoor dust metal concentrations were also elevated at La Oroya Antigua (2,574 ppm Pb, 1,071 ppm As, 28 ppm Cd), and drinking water As values were elevated relative to Pb and Cd (8.5 ppb As, 0.28 ppb Pb, and 0.05 ppb Cd), suggesting selective loss of Pb and Cd relative to As. Exposure and dose-response modeling (IEUBK) indicate soil Pb and As are serious health problems in need of remediation.

1. Introduction

Reduced anthropogenic emissions of lead (Pb), arsenic (As), cadmium (Cd), mercury (Hg), and other heavy metals have been well documented in terrestrial ecosystems, atmospheric emissions, and marine ecosystems [14]. However, some of this environmental burden has been shifted to nations where equivalent regulations or enforcement are limited [5, 6]. Deleterious environmental and public health issues are frequently associated with nonferrous metal smelting, including emissions in North America [79], China [10], Australia [11, 12], Latin America [13, 14], and Africa [15]. The city of La Oroya, Peru, has been similarly affected by heavy metal mining and smelting since 1922, although limited environmental observations have been made despite a clear public health concern [16]. This reconnaissance survey examines the lead, arsenic, and cadmium content of drinking water, indoor dust, and soil to quantify the environmental impact and associated health risk to the children of La Oroya.

Operation of a metallurgical complex less than a kilometer from La Oroya Antigua has created a human health issue for its 33,000 residents [17], notably children, due to the neurological and cognitive impairments associated with metal poisoning (e.g., [18, 19]). In La Oroya Antigua, the pediatric blood Pb levels were approximately three times the accepted level of concern in 1999 (34 μg dL−1 compared to the 10 μg dL−1 World Health Organization critical level [16]). For excellent reviews of the La Oroya environmental, socioeconomic, and public health issue, see Fraser [20] and Cederstav and Barandiarán [16]. Despite continuous operation from 1922, the smelter complex ceased operation due to debt financing issues in 2009. Recent political discussions have focused on the soil remediation costs despite no available soil data in the public domain. This study examines how past and recent smelter emissions have impacted local soils, indoor dust, and drinking water in five locations near the metallurgical complex, focusing on three metals with known health risks (Pb, As, and Cd) to determine the relative importance of these different vectors to children’s health.

The environmental impacts of smelter emissions have been well established by observations in North America, emphasizing the importance of point source stack and fugitive emissions and their exponential reduction with distance (see Figure  1 of Roberts et al. [8]). Approximately half of the total aerosol Pb content is found in the submicron particulate fraction, suggesting it could be readily transported several kilometers from the point source [7]. The Landrigan et al. [7] study of the El Paso, Texas ASARCO smelter is particularly relevant given its limited emission control technology and close proximity to a population center. The measured airborne Pb emission was from 8 to 10 μg m−3, although the annual mean Pb aerosol concentration immediately downwind of the smelter was 92 μg m−3. For comparison, the World Health Organization (WHO) air quality guideline for aerosol Pb is 0.5 μg m−3 [21]. Within 200 meters of the smelter, El Paso geometric mean soil Pb was 3,457 ppm (ranging from 560 to 11,450 ppm, 𝑛=54), significantly above the USEPA hazard standard of 1,200 ppm for bare soil (Toxic Substances Control Act, Section  403, USEPA, 2001 [22]). Household dust samples were similarly elevated adjacent to the smelter (the Smeltertown geometric mean Pb content was 22,191 ppm, 𝑛=51).

The potential environmental impacts of the La Oroya metallurgical complex are clear. First, the smelter facility was in continuous operation from 1922 to 2009, suggesting the accumulation of heavy metals in regional soils, biota, and other environmental media. Second, the nearest permanent residence of La Oroya Antigua is located approximately 320 meters from the stack point source (compared to the town center at approximately 700 meters and the most distant residence at 1.4 km; distances are straight line to the point source). However, nonpoint source, fugitive emissions must also be considered, including a Pb concentrator in Nueva La Oroya. Third, atmospheric temperature inversions during the winter months can trap emissions close to the town center, concentrating atmospheric Pb aerosols along the Rio Mantaro Valley. Finally, nearby carbonaceous slag piles located 1.3 to 2.1 km southeast of the complex also contain elevated concentrations of these same metals. (Preliminary data from March 2010 showed percent level Pb, As, and Cd in two slag samples, unpublished observation.)

Two mitigating factors are advective transport of aerosols away from La Oroya Antigua and increased use of emission control technologies by the facility operator since 1997 [23]. Although no meteorological data are publically available for La Oroya Antigua, a nearby station in Santa Rosa de Sacco provides daily wind speed and direction data from 2006 to 2011 (available from SEMNAHI, Servicio Nacional de Meteorologia e Hidrologia del Peru,, accessed June 2011). Wind rose analysis of these data indicates a dominant northeasterly wind direction. (The resultant flow vector was 218 degrees at 82% probability, not shown.) In the absence of topographic steering, this would transport smelter emissions away from La Oroya Antigua and towards Santa Rosa de Sacco and Yauli (Figure 1). Second, addition of emission control technology would improve environmental quality. According to the current facility operator (Doe Run Peru), aerosol Pb, As, and Cd concentrations in La Oroya Antigua dropped 62%, 85%, and 67%, respectively, between 1995 and 2000.

The best available environmental data from the La Oroya district comes from quarterly air quality reports from the facility operator (Doe Run Peru) to the Ministry of Energy and Mines (MEM), as summarized by Cederstav and Barandiarán [16]. The quality control procedures for these results are unknown. However, these direct observations from 1995 to 2000 demonstrate that significant metal aerosol deposition has occurred in the past. Five air quality monitoring stations were reported, ranging from 0.8 to 3.0 km from the point source (see Figure 1 for their locations). For the heavy metals, aerosol Pb, As, and Cd values were consistently elevated at the Huanchán monitoring station, located 2 km downwind of the facility in the Rio Mantaro Valley. Mean annual atmospheric Cd concentrations ranged from 0.2 to 1.0 μg m−3 at Huanchán, whereas the upwind stations such as Casaracra reported concentrations less than 0.1 μg m−3 [16]. Arsenic and lead concentrations were similarly elevated and variable at Huanchán, ranging from 2 to 8 μg m−3 (As) and from 3 to 21 μg m−3 (Pb). As the atmospheric values are significantly above WHO air quality guidelines for contaminated aerosols (0.5 μg m−3 Pb; 5 ng m−3 Cd), contamination of regional soils, dust, and drinking water would be expected due to historical and recent operation of the metallurgical complex.

Elevated pediatric blood Pb levels and the associated neurological impairment can result from smelter emissions: Landrigan et al. [7] measured blood Pb levels > 40 μg dL−1 in 53 percent of children 1–9 years of age living within 1.6 km of the El Paso, Texas ASARCO smelter, whereas 18 percent of children had comparable blood Pb levels within 1.6 to 6.6 km. As La Oroya Antigua is located a comparable distance to the smelter facility, one might expect similar elevated blood Pb levels: Ramírez et al. [17] measured mean blood Pb concentrations of 34.8±4.0μg dL−1 between 1994-1995 in 80 La Oroya residents, compared to 14.0±2.7μg dL−1 in a control group from Yaupi and 22.4±4.7μg dL−1 from an additional Huancayo control group. Subsequent studies have confirmed elevated blood Pb concentrations in La Oroya residents, notably measurements by the environmental health ministry (Dirección General de Salud Ambiental, DIGESA) and the facility operator Doe Run Peru. As summarized by Cederstav and Barandiarán [16], the DIGESA results from 1999 indicated blood Pb levels from 6.9 to 79.9 μg dL−1 with a mean of 33.6 μg dL−1 (𝑛=346, 2- to 10-year-old children). Recent measurements have shown a decline to 23.4 μg dL−1 in November 2007, but still approximately twice the 10 μg dL−1 level of concern [21]. Significant cognitive impairments have also been reported for pediatric blood Pb levels below 10 μg dL−1, suggesting that any pediatric exposure to environmental Pb poses some health risks [24, 25]. In this study, we adopt the 10 μg dL−1 threshold as a comparative value while acknowledging the risk below this concentration.

Despite the public health risks to the La Oroya region, we know of no published studies that have measured metal concentrations in local soils, dust, drinking water, or other environmental media. Thus the current relationship between the environmental contamination and human health is unclear. We did not measure dietary levels. (This remaining vector could also be significant if food is grown locally on soils with comparable levels to those measured here.) Although a variety of exposure pathways have been discussed for the La Oroya population, establishing the principal vectors is critical given the severity of the problem and limited resources to address the issue.

2. Methods

This study examines five sites located 1 to 26 km from the smelting complex, including one site (Yauli) with a secondary source of heavy metals. Our observations include three key environmental media: surface soil, drinking water, and indoor dust concentrations. In this study, we also adopt simple exposure calculations and the Integrated Exposure Uptake Biokinetic (IEUBK) Model for Lead in Children [26]. This comparison will better optimize the scale and nature of remediation efforts in this region.

2.1. Site Description

As shown in Figure 1, the city of La Oroya Antigua is located in the central Peruvian Altiplano at 3,745 meters elevation, approximately 180 km east of the capital Lima (Junín region, Yauli province, La Oroya district). The regional physiography is dominated by steep valleys of the Rio Mantaro and Rio Yauli, located within the central Andean puna and tundra ecoregions (see Figure  2 of [27]). The predominant vegetation is native bunch grasses (genera Festuca, Calamagrostis, and Agrostis, [28]), although in many contaminated areas surrounding La Oroya Antigua sparse above-ground biomass exists.

The Yauli-La Oroya Province has a population of 67,724 residents, with approximately 33,000 residents in the La Oroya district [29]. Depopulation of workers has occurred following the closure of the metallurgical complex. The majority of residents in the province (92%) reside in urban areas, and most households (62%) cannot meet basic needs (ibid.). Mining and metallurgy represents the largest provincial industry, employing 6,239 full-time and 3,277 part-time workers in 1993 (ibid.). In 2005, Doe Run Peru employed 2,898 full-time employees and 1,185 contractors, both in the La Oroya district and the Cobriza Mine, representing the largest employer in La Oroya [23].

Small-scale mining of precious metals first started in 1533 during the Spanish colonial period, but railroad development in 1893 catalyzed greater regional mining activity (e.g., the Cerro de Pasco and Morococha districts), transporting mining products from La Oroya to the Port of Callao [30]. Copper smelting began in 1922 with the Cerro de Pasco Copper Corporation, followed by lead (1928) and zinc (1952) smelting [23]. Because of the mixed composition of regional ores, the facility recovers a wide variety of metal byproducts, including gold, silver, arsenic, antimony, cadmium, and bismuth. Only five other smelting facilities in the western hemisphere can process lead and copper concentrates with these complex mixtures. The La Oroya facility competes with several Chinese facilities for these mixed raw materials from South American mining districts [23].

In 1974 the metallurgical complex was nationalized by the state-owned Empresa Minera del Centro del Peru S. A. (CENTROMIN) and its subsidiary, Metaloroya S. A. In 1997 the facility was privatized and purchased by Doe Run Peru. Upon privatization, Doe Run Peru was required to follow a series of environmental remediation steps known as PAMA (Programa de Adecuación y Manejo Ambiental), an environmental contract requiring nine specific remediation measures. Doe Run Peru did not meet the PAMA agreement by the initial deadline, resulting in an extension allowed by the Peruvian government until 2009 (Supreme Decree no. 046-2004-EM, [23]). Although significant improvements were made to the facility under the PAMA agreement, several modifications were not completed, notably the completion of the sulfuric acid processing plant. However, the metallurgical complex was shut down in 2009 due to inadequate debt financing and operational costs. Because Doe Run Peru was indemnified against any environmental liability in the 1997 PAMA agreement, remediation of the regional environment is currently debated both in Peru and the United States (Renco Group, the holding company for Doe Run Peru, is based in the USA). Doe Run Peru states facility investments of $315 million were completed, with no comparable environmental remediation investments by the Peruvian government [31].

2.2. Site Selection

Surface soil, drinking water, and indoor dust samples were collected in August 2010 to test for Pb, As, and Cd concentrations. Five population centers, shown in Figure 1, were chosen to evaluate how environmental media could affect a specific population, rather than using dispersed regional sampling. The five sites were chosen based on the following criteria: (1) variable distance and direction from the metallurgical complex; (2) available participants in the study; and (3) suspected contamination based on available health histories. Note that selecting a “control” site devoid of contamination is difficult as nonferrous metal aerosols travel global distances from their source as high temperature condensates and vapors (e.g., [32]). Other anthropogenic contributions from mining activities (ore concentration and transport), lead solder, tailings-derived aerosols, leaded gasoline, and leaded paints could also be significant factors at these sites and should not be discounted.

2.3. Sample Analysis
2.3.1. Soil Collection and Analysis

At each site, seven to thirteen outdoor soil samples were randomly selected based on the following criteria: (1) representative of the site (not imported soil), (2) common play areas for children (soccer fields, playgrounds, school yards, and open areas), and (3) adequate sample distribution. Any above-ground biomass was removed prior to soil sampling, and the top 1 cm of soil was removed with a clean plastic scraper over 100 cm2. Soil samples were placed into plastic bags, dried at room temperature, sieved with a 0.1 mm nylon/PVC sieve, and placed into 20 mL acid-leached HDPE sample vials. All plasticware used in this study was leached with reagent grade 1 N HCl (Fisher Scientific, Pittsburgh, PA) for 48 hours at 55°C then triple-rinsed in 18 MΩ Milli-Q water (Milli-Q Gradient system, Billerica, MA). The smaller size fraction was the focus of this study as it poses a greater ingestion and inhalation health risk to children relative to the larger mineral grains. The sieved soil was dried at 70°C for 24 hours to remove all soil moisture then stored in a desiccator containing fresh Drierite (W. A. Hammond, Xenia, OH) at room temperature. Prior to analysis, samples were homogenized in a Spex 8000 mixer (Metuchen, NJ) for two minutes. Samples were analyzed in sample cups through a 5 μm thick, 36 mm diameter polypropylene window, (Spex, Metuchen, NJ) using energy dispersive X-ray fluorescence (ED-XRF) with polarizing optics (Epsilon 5, PANalytical, Westborough, MA). Source scatter from yttrium and tungsten were removed prior to normalization. External calibration verification with matrix-matched National Institute of Science and Technology standard reference materials (metal contaminated soil 2710, 2710a, and 2711, Gaithersburg, Maryland) was performed daily. Limits of detection (LOD = 3 sigma) were calculated from the daily SRM and blank measurements. The LODs were 340 ppm for Pb, 66 ppm for As, and 5 ppm for Cd. The ED-XRF detection limits and the calibration curves’ coefficients of variation (<10%) were not a significant source of uncertainty relative to intersample variability for Pb and As, though a few individual Cd samples were at the detection limit for this method.

2.3.2. Indoor Dust Collection and Analysis

Indoor dust samples were collected at the same five sites as the outdoor soil samples, including residential areas, schools, hospitals, churches, and municipal offices. Prior to visiting the site, occupants were contacted by a local NGO affiliate to gain consent, and a second confirmation was made while on site (rejections were common at the La Oroya Antigua site given the sensitivity of environmental sampling). Residents were asked not to clean any flooring surfaces prior to the sampling visit. Samples were collected with a clean nylon brush over a 1 m2 area; dust loading estimates were impossible given the prevalence of compacted clay floors or wooden slats above a clay foundation (indoor dust was continuously generated with sweeping). Inclusion of paint chips, food particles, and other dust materials was allowed in the bulk sample given the exposure of young children to these same particles. Leaded paint particles may have contributed to dust chemistry given its continued use in South America (see discussion below). Following collection of indoor dust, samples were treated identically to the soil samples as noted above.

2.3.3. Drinking Water Sample Collection and Analysis

Drinking water samples were collected at each indoor dust sample location with permission. Occupants were asked to collect the sample identical to how they obtain their drinking water to mimic the appropriate flush conditions (as influenced by lead-containing solder or other contaminants). Samples were placed into acid-cleaned, 60 mL high density polyethylene bottles (VWR, Radnor, PA) and filtered through 0.45 μm PTFE syringe filters (22 mm diameter, Pall, Port Washington, NY) to remove particulates. An acrylic syringe vise was utilized to push the sample through the hydrophobic membrane. Filtered samples were acidified to pH 2 (verified with colorpHast pH strips, EM-Reagents, Darmstadt, Germany) using 150 μL of trace metal grade 6 N HCl within 12 hours of sample collection (Aristar Plus, BDH Chemicals, Radnor, PA).

Elemental concentrations were determined by ICP-MS (Agilent 7500ce) with gravimetrically prepared Spex Certiprep ICP standards (1000 mg L−1 stock standards). NIST SRMs 1573 and 1575 were utilized to verify calibrations. Measurements were conducted at the Colorado State University-Pueblo EPA certified ICP-MS facility, using Method 6020. The ICP-MS utilizes an Octopole Reaction System (ORS) and an Integrated Sample Introduction System (ISIS). These remove potential interferences (e.g., ArCl on As) and lower the detection limits. Helium was used in the ORS for As, while Cd and Pb were conducted without the ORS. Nine different element/isotopes were used for internal standard corrections. Isotopes 75As, 111Cd, and 206Pb, 207Pb, and 208Pb were measured in the water samples using a torch depth of 8.0 mm, 1500 W RF Power, 0.80 L/min carrier gas, and 0.20 L/min makeup gas with a glass concentric nebulizer (MicroMist) and a Pt cone. Based on replicate SRM measurements, the 3 sigma limits of detection for Pb, As, and Cd were 0.05 ppb.

3. Results and Discussion

Summary statistics for Pb, As, and Cd are shown in Table 1, including the soil, indoor dust, and drinking water observations by site (each site includes the arithmetic mean, geometric mean, median, range, and 95% confidence interval). Because the impact of outliers on small data sets is minimized, we used the median values for exposure modeling and the discussion here rather than the higher arithmetic mean. Changes to the median values could result from dry versus wet season sampling; the dry season values are reported in this study. Here the discussion focuses on the metal concentrations for each sample type, followed by the potential health impact.

SiteStatisticSoilIndoor dustDrinking water
Pb (ppm)Cd (ppm)As (ppm)Pb (ppm)Cd (ppm)As (ppm)Pb (ppb)Cd (ppb)As (ppb)

La Oroya
𝑛 = 7 , soil
𝑛 = 6 , dust
𝑛 = 5 , water
Arithmetic Mean5,0702572,6004,621941,4050.420.068.98
Geometric Mean3,1381371,8443,413451,1090.280.058.90
95% C. I.8,5184663,9069,7712622,3300.760.052.83

Santa Rosa de Sacco
𝑛 = 1 0 , soil
𝑛 = 6 , dust
𝑛 = 5 , water
Arithmetic Mean1,43229534985204020.400.041.26
Geometric Mean1,2110458883173480.110.001.15
95% C. I.1,998546401,010245141.310.201.21

𝑛 = 7 , soil
𝑛 = 6 , dust
𝑛 = 5 , water
Arithmetic Mean5961133557572230.290.031.54
Geometric Mean356026951202190.000.001.51
95% C. I.1,1162048473018841.050.110.60

𝑛 = 8 , soil
𝑛 = 7 , dust
𝑛 = 5 , water
Arithmetic Mean45242871,026143710.410.010.73
Geometric Mean1990271782133400.230.000.73
95% C. I.1,52462201,534103141.070.030.12

𝑛 = 1 3 , soil
𝑛 = 7 , dust
𝑛 = 5 , water
Arithmetic Mean1,900234742,163163430.380.0011.43
Geometric Mean1,111133521,811143340.340.0011.43
95% C. I.4,092541,0042,698181740.440.000.18

3.1. Soil Concentrations

Box plots with medians and inner quartile ranges for Pb, As, and Cd soil concentrations are shown in Figure 2. Elevated metal concentrations are consistently observed in La Oroya Antigua (3,177, 127, and 4,820 ppm for the Pb, As, and Cd median values, resp.). These results demonstrate elevated metal concentrations and the highest variance close to the La Oroya metallurgical complex, with soil Pb concentrations ranging from 297 to 11,451 ppm in La Oroya Antigua. Variable metal concentrations near the point source would be expected based on the soil profile’s erosional history (a stable surface versus a soil profile freshly eroded to depth), the cation exchange capacity of the soil (clay and organic matter content), mineralogy, and other factors. The depositional history of metal aerosols will also vary, depending on the prevailing wind direction and the aerosol size distribution.

For two of the five sites (La Oroya Antigua and Yauli), median soil Pb was greater than or equal to the 1,200 ppm USEPA regulatory limit for bare soil [22]. At Santa Rosa de Sacco, the median soil Pb value (1,152 ppm) is within error of the 1,200 ppm regulatory limit. Two sites, Paccha and Huayhuay had concentrations below 1,200 ppm, as expected for locations well upwind (Paccha) or a significant distance (Huayhuay, 22 km) from the La Oroya smelter facility. Elevated Pb concentrations at Yauli (median soil Pb of 1,623 ppm), the most distant site from the metallurgical complex (26 km), suggest that another metal source must be considered. This is explained by (1) an active Pb concentrator facility at the southern edge of the community, where lump ore is processed into higher grade concentrates; (2) advection of tailing particulates stored close to the community in open piles; (3) dust from transport of ore in trucks and railroad cars that pass through the community; and/or (4) another unknown Pb source. Thus advection of contaminated aerosols from the La Oroya point source cannot explain all of the regional soil Pb observations.

To evaluate the point source impact on regional soil concentrations, the natural logarithms of the soil metal levels were calculated and then regressed versus distance from the smelter facility, using individual samples from four sites. The Yauli site was not included in the linear regression model due to the additional expected anthropogenic sources previously discussed. The linear regression fits are significant at the 99+% confidence interval for all three metals (Pearson regression, 𝑟=0.653, 𝑃<0.001 for Pb; 𝑟=0.792, 𝑃<0.001 for Cd; 𝑟=0.546, 𝑃=0.001 for As, df = 31). There was no significant inhomogeneity of variance across the sites (Levene’s test: 𝑃=0.255 for Pb, 𝑃=0.089 for Cd, 𝑃=0.095 for As).

The mean atmospheric residence times for Pb, As, and Cd are comparable (8 to 12 days), so the differences among the three elements’ levels observed across the four sites might reflect different chemistries in smelter stack emissions, or they may result from differences in ore processing. The oxides (As2O3, CdO, and PbO) are the predominant species emitted in nonferrous smelter emissions [33], but As (V) is usually the predominant species found downwind [34], in keeping with predictions from redox potentials. These results suggest that atmospheric emissions from the metallurgical complex account for most of the regional variability in soil metal concentrations.

One soil outlier from La Oroya Antigua warrants consideration, as it greatly exceeded the 95% confidence interval of the sample population. This sample was collected immediately downwind of the smelter complex and southeast of the residential area. Highly elevated Pb (6.1%), As (2.4%), and Cd (2,600 ppm) concentrations indicate this area has been severely impacted by the smelter emissions. This sample was excluded from the analysis as it does not directly impact the community, but advection of mineral fines from this area and the nearby slag heaps might contribute to heavy metal contamination in La Oroya Antigua. Percent level metal concentrations indicate a possible economic incentive for soil remediation in the La Oroya district.

3.2. Indoor Dust Concentrations

As shown in Figure 3, Cd and As concentrations follow the expected regional trends, with elevated concentrations in La Oroya Antigua (28 ppm for Cd, 1071 ppm for As) relative to the other sites. Concentration variability is also greatest close to the point source. Elevated and variable metal concentrations follow the soil pattern, as most indoor mineral dust would be derived from local soils. In many cases, this relationship would be highly localized and not representative of the wider community, as dust from fenced outdoor work areas or courtyards would be transported through open doorways. Indoor dust might also be generated from localized areas in a community, such as a bare soccer field surrounded by residences in the case of Paccha. Overall, indoor dust Cd and As concentrations are elevated in La Oroya Antigua and diminish with distance from the point source.

The pattern for indoor dust Pb shows greater variability, as four of the five sites (La Oroya Antigua, Santa Rosa de Sacco, Huayhuay, and Yauli) exhibit indoor dust concentrations equal to or greater than the USEPA 1,200 ppm soil limit at the 95% confidence interval. For the “control” site of Huayhuay, the indoor dust value (587 ppm) is greater than outdoor soil (186 ppm), indicating another potential Pb source for indoor dust. The same pattern is observed for the Yauli site (2,228 ppm for indoor dust, 1,623 ppm for soil). This might be explained by leaded paint, which is commonly used and sold in rural Peru (paint chips were also a common component of the indoor dust samples). Elevated soil concentrations might also explain this difference, as small sample populations might not be representative of the larger community.

Because most floor surfaces continuously generate indoor dust in this region, a complementary sampling technique would utilize open Petri dishes for several months to determine deposition rates and metal levels, as discussed by Hogervorst et al. [35] for cadmium and lead. This would not strictly be the same material encountered by children on flooring (some mineral component would also be present), but such samples would better relate anthropogenic aerosols to the indoor heavy metal burden. Isotopic measurements would also help separate multiple indoor dust components.

3.3. Drinking Water Concentrations

Observations of drinking water Cd and Pb concentrations follow the general pattern of soil and indoor dust concentrations: elevated values in La Oroya Antigua and lower concentrations in the remaining four sites (see Figure 4). However, Pb and Cd concentrations are significantly below 1 ppb, less than the WHO drinking water guideline values for both metals (10 ppb for Pb, 3 ppb for Cd, [36]). This suggests a minimal public health risk (see Section 3.4) for these two metals in the drinking water. Correlating drinking water concentrations to a specific location is difficult, as municipal supplies are sourced far from the communities, stored in protected reservoirs, transported tens of kilometers, and reside locally only until utilized. Thus the local environment might not affect drinking water concentrations for Pb and Cd.

However, drinking water As concentrations were significantly elevated for La Oroya Antigua (8.5 ppb) and Yauli (11.4 ppb), and individual samples consistently exceeded the 10 ppb WHO drinking water guideline value in Yauli (ibid.). The low variance for As indicates a common drinking water source with high [As], whereas the variability for Cd and Pb supports minor potential inputs from other metal sources, such as lead-containing solder. Of the three elements studied here, As presents the greatest public health concern for drinking water relative to Pb and Cd. Part of this difference might reflect differential flow through the soil column into groundwater systems—the two divalent cations (Pb2+, Cd2+) may be adsorbed onto clay surfaces or soil organic matter, whereas the various arsenate and arsenite anions might remain soluble through the soil column.

3.4. Risk Assessment

To evaluate the potential health risks in the five communities, we first calculated the heavy metal exposure to children for each metal, using the assumptions given in the Integrated Exposure Uptake Biokinetic Model for Lead in Children dose-response model (IEUBK, Version 1.1, Build 11, February 2010). We utilized the same age cohorts (0.5 to 7 years), body weights (7.4 to 22.3 kg), dust and soil ingestion rates (0.085 to 0.135 g day−1), and soil/dust exposure partitioning (45% soil, 55% dust). Exposure for a particular age cohort and metal is calculated simply as 𝐸(age,metal)=𝑋×𝑅𝑖×𝑓𝑚,(1) where 𝑋 denotes the mass fraction of a particular metal in an environmental medium (e.g., 3000 μg g−1 Pb in soil), 𝑅𝑖 is the daily ingestion rate of the medium (0.1 g day−1 of soil and dust, age dependent), 𝑓 reflects the mass fraction of soil versus dust ingestion, and 𝑚 denotes body mass (also age dependent). For drinking water, 𝑓=1. The median exposure was calculated for each site, metal, and the seven age cohorts (Table 2).

SitePb exposure (μg kg−1 day−1)Cd exposure (μg kg−1 day−1)As exposure (μg kg−1 day−1)Sum
SoilIndoor dustDrinking waterSoilIndoor dustDrinking waterSoilIndoor dustDrinking water

La Oroya Antigua12.312.
Santa Rosa de Sacco4.

The IEUBK model has been successfully implemented in regions impacted by smelter emissions to account for blood Pb observations (see Table  5 of [37]). This model makes several assumptions that are potentially inappropriate for remote Peruvian villages (e.g., soil ingestion rates). Exposure estimates also do not account for metal uptake or biokinetics, which are significant at high media concentrations given saturation effects. However, this simple exposure calculation serves as a useful remediation guide given order-of-magnitude differences among sites, media, and metals.

The exposure results suggest there are significant contributions from soil and indoor dust for As and Pb, with minimal contributions from drinking water. Because much of the indoor dust metal burden derives from outdoor soil [9], this indicates the soil reservoir should be the primary focus of remediation efforts. Pb and As exposure are significantly greater than Cd in this region, suggesting that any remediation must address multiple toxins (not Pb alone). Finally, three sites show elevated heavy metal exposure relative to the upwind site (Paccha, 6.8 μg kg−1 day−1) and our control site (Huayhuay, 6.2 μg kg−1 day−1). These exposure estimates may help establish regional priorities for remediation, focusing on La Oroya Antigua (36.8 μg kg−1 day−1), Yauli (19.9 μg kg−1 day−1), and Santa Rosa de Sacco (11.7 μg kg−1 day−1). However, we acknowledge other exposure sources should also be measured to better constrain these sites.

To account for metal uptake and biokinetics, we then utilized the IEUBK model to calculate blood Pb levels for the five sites and age cohorts [26]. These blood Pb estimates are made using incomplete data (no estimates of dietary, aerosol, maternal, or other Pb sources were available for this 2010 sampling period); they should be viewed as minimum estimates. To evaluate the impact of soil, indoor dust, and drinking water Pb on blood Pb levels at these five sites, the other media values were set to zero in the model. Table 3 shows the IEUBK results.

Age (years)La Oroya AntiguaSanta Rosa de SaccoPacchaHuayhuayYauli

Mean [Pb]
95% C. I.

In agreement with the exposure calculations, drinking water Pb had negligible effect on blood Pb concentrations, and indoor dust and soil had concentration-weighted, nonadditive effects. For example, the estimated blood Pb concentration for La Oroya Antigua was affected equally by indoor dust (Pb = 2,574 ppm) and soil (Pb = 3,177 ppm). Due to the indoor dust and soil Pb measured in this study, blood Pb levels equal to or greater than the 10 μg dL−1 level of concern were observed for three of the five sites, including La Oroya Antigua (21 ± 7 μg dL−1), Santa Rosa de Sacco (10 ± 4 μg dL−1), and Yauli (16 ± 6 μg dL−1). Although these estimates contain significant uncertainty, the soil and dust Pb concentrations likely pose a significant pediatric health issue in the absence of point source emissions. Blood Pb levels will likely not fall below the WHO 10 μg dL−1 level of concern until soil remediation has occurred, notably in La Oroya Antigua. The observations and calculations presented here underscore the importance of appropriate soil remediation in areas impacted by smelter emissions. Alternatively, moving residents from the point source may ultimately limit its health impacts (children requiring chelation therapy are currently housed at the Casaracra site west of La Oroya Antigua). Cessation of the metallurgical complex and soil remediation will result in significantly reduced toxic metal exposures for the children of La Oroya, Peru.

3.5. Further Research

This reconnaissance survey raises several questions regarding the scale of environmental contamination and its associated pediatric health risk. First, to better constrain the contaminated area surrounding the La Oroya smelter complex, additional sites in different directions and larger numbers of samples would supplement the values reported here (often limited due to opportunity sampling); complementary lead isotope measurements would be useful to separate multiple anthropogenic sources such as paint, solder, and aerosols. Depth profiles from known contaminated areas would better elucidate the volume of contaminated soil due to the accumulation and migration of anthropogenic aerosols. Since this study relies on the IEUBK blood lead model to assess pediatric blood lead levels, a direct comparison between blood lead and environmental metal concentrations in La Oroya Antigua would test the model’s assumptions for this population. Finally, soil remediation experiments would elucidate the most efficient method for reducing soil Pb, As, and Cd toxicity.

4. Conclusions

This study of the La Oroya district has established several key patterns of Pb, As, and Cd contamination associated with the metallurgical complex; these patterns are more complicated than anticipated from an individual point source. Several key observations from this study include the following.(i)Elevated heavy metal soil and indoor dust concentrations were observed close to the La Oroya complex with an exponential reduction with distance, following previous studies on smelter emissions. Greatest soil and indoor dust contamination was observed at the La Oroya Antigua site.(ii)Soils and indoor dust Pb exceeded the 1,200 ppm USEPA regulatory threshold in three of the five sites. Excluding the Yauli site, the La Oroya point source accounts for the majority of the regional variability for Pb and Cd. Another contamination source likely accounts for the elevated metal concentrations observed at Yauli.(iii)Drinking water samples showed Pb and Cd concentrations significantly below the WHO guideline values; however, As exceeded the 10 ppb guideline value at two sites (La Oroya Antigua and Yauli). Drinking water remediation should focus on As removal at those sites.(iv)Exposure calculations and dose-response modeling suggest that soil remediation of Pb and drinking water remediation of As at La Oroya Antigua, Yauli, and Santa Rosa de Sacco will improve children’s health in this region.

In the absence of point source emissions, contaminated soil and indoor dust pose a significant health threat to the children of La Oroya Antigua. Reduced atmospheric pollution from the metallurgical complex will not necessarily return pediatric blood Pb levels below the 10 μg dL−1 WHO level of concern. Thus, the disputed remediation efforts at La Oroya should focus on soil Pb and drinking water As, reducing both the environmental and public health burden for the children of central Peru.


The authors gratefully acknowledge the residents of La Oroya, Paccha, Yauli, Huayhuay, and Santa Rosa de Sacco who generously allowed us to sample indoor dust and drinking water in their homes, businesses, and schools for this study. Steve Burt of Colorado College provided expert machining assistance for the syringe press and nylon sieves. They also thank the Kresge Family Foundation, the McKee Family Trust, the Otis and Margaret Barnes Trust, and Colorado College for funding used to provide travel, instrument, and laboratory support for this study. The helpful reviewers’ comments greatly improved the quality of this paper.


  1. W. Shotyk, D. Weiss, P. G. Appleby et al., “History of atmospheric lead deposition since 12,370 14 C yr BP from a peat bog, jura mountains, Switzerland,” Science, vol. 281, no. 5383, pp. 1635–1640, 1998. View at: Publisher Site | Google Scholar
  2. J. O. Nriagu and J. M. Pacyna, “Quantitative assessment of worldwide contamination of air, water and soils by trace metals,” Nature, vol. 333, no. 6169, pp. 134–139, 1988. View at: Google Scholar
  3. J. M. Pacyna, E. G. Pacyna, and W. Aas, “Changes of emissions and atmospheric deposition of mercury, lead, and cadmium,” Atmospheric Environment, vol. 43, no. 1, pp. 117–127, 2009. View at: Publisher Site | Google Scholar
  4. A. E. Kelly, M. K. Reuer, N. F. Goodkin, and E. A. Boyle, “Lead concentrations and isotopes in corals and water near Bermuda, 1780–2000,” Earth and Planetary Science Letters, vol. 283, no. 1–4, pp. 93–100, 2009. View at: Publisher Site | Google Scholar
  5. X. Huo, L. Peng, X. Xu et al., “Elevated blood lead levels of children in Guiyu, an electronic waste recycling town in China,” Environmental Health Perspectives, vol. 115, no. 7, pp. 1113–1117, 2007. View at: Publisher Site | Google Scholar
  6. S. LaFraniere, “Lead poisoning in China: the hidden scourge,” The New York Times, 2011. View at: Google Scholar
  7. P. J. Landrigan, S. H. Gehlbach, B. F. Rosenblum et al., “Epidemic lead absorption near an ore smelter—role of particulate lead,” The New England Journal of Medicine, vol. 292, no. 3, pp. 123–129, 1975. View at: Google Scholar
  8. T. M. Roberts, T. C. Hutchinson, and J. Paciga, “Lead contamination around secondary smelters: estimation of dispersal and accumulation by humans,” Science, vol. 186, no. 4169, pp. 1120–1123, 1974. View at: Google Scholar
  9. S. R. Hilts, “Effect of smelter emission reductions on children's blood lead levels,” Science of the Total Environment, vol. 303, no. 1-2, pp. 51–58, 2003. View at: Publisher Site | Google Scholar
  10. Y. M. Jiang, H. Shi, J. Y. Li, C. Shen, J. H. Liu, and H. Yang, “Environmental lead exposure among children in Chengdu, China: blood lead levels and major sources,” Bulletin of Environmental Contamination and Toxicology, vol. 84, no. 1, pp. 1–4, 2010. View at: Publisher Site | Google Scholar
  11. N. C. Munksgaard, M. P. Taylor, and A. Mackay, “Recognising and responding to the obvious: the source of lead pollution at Mount Isa and the likely health impacts,” Medical Journal of Australia, vol. 193, no. 3, pp. 131–132, 2010. View at: Google Scholar
  12. B. L. Gulson, D. Howarth, K. J. Mizon, A. J. Law, M. J. Korsch, and J. J. Davis, “Source of lead in humans from Broken Hill mining community,” Environmental Geochemistry and Health, vol. 16, no. 1, pp. 19–25, 1994. View at: Google Scholar
  13. M. F. Soto-Jimenez and A. R. Flegal, “Childhood lead poisoning from the smelter in Torreón, México,” Environmental Research, vol. 111, no. 4, pp. 590–596, 2011. View at: Google Scholar
  14. G. G. G. Vargas, M. Rubio Andrade, L. M. Del Razo, V. Borja Aburto, E. Vera Aguilar, and M. E. Cebrián, “Lead exposure in children living in a smelter community in Region Lagunera, Mexico,” Journal of Toxicology and Environmental Health, Part A, vol. 62, no. 6, pp. 417–429, 2001. View at: Publisher Site | Google Scholar
  15. C. L. N. Banza, T. S. Nawrot, V. Haufroid et al., “High human exposure to cobalt and other metals in Katanga, a mining area of the Democratic Republic of Congo,” Environmental Research, vol. 109, no. 6, pp. 745–752, 2009. View at: Publisher Site | Google Scholar
  16. A. Cederstav and A. Barandiarán, La Oroya Cannot Wait, Sociedad Peruana de Derecho Ambiental, 2002.
  17. A. V. Ramírez, J. C. Paucar, and J. M. Medina, “Blood lead levels in the inhabitants of four Peruvian localities,” Revista Panamericana de Salud Publica/Pan American Journal of Public Health, vol. 1, no. 5, pp. 344–348, 1997. View at: Google Scholar
  18. L. W. Chang, Toxicology of Metals, CRC Lewis, Boca Raton, Fla, USA, 1996.
  19. National Research Council, Measuring Lead Exposure in Infants, Children, and other Sensitive Populations, National Academy Press, Washington, DC, USA, 1993.
  20. B. Fraser, “La Oroya's legacy of lead,” Environmental Science and Technology, vol. 43, no. 15, pp. 5555–5557, 2009. View at: Publisher Site | Google Scholar
  21. WHO, Air Quality Guidelines for Europe, vol. 91, WHO Regional Publications, Copenhagen, Denmark, 2000.
  22. USEPA, “Lead; identification of dangerous levels of lead; final rule,” Federal Register, vol. 66, no. 4, pp. 1206–1240, 2001. View at: Google Scholar
  23. “Doe run resources corporation, form 10-K/A,” United States Securities and Exchange Commission, Washington, DC, USA, 2006. View at: Google Scholar
  24. B. P. Lanphear, K. Dietrich, P. Auinger, and C. Cox, “Cognitive deficits associated with blood lead concentrations <10 μg/dL in US children and adolescents,” Public Health Reports, vol. 115, no. 6, pp. 521–529, 2000. View at: Publisher Site | Google Scholar
  25. H. L. Needleman and C. A. Gatsonis, “Low-level lead exposure and the IQ of children. A meta-analysis of modern studies,” Journal of the American Medical Association, vol. 263, no. 5, pp. 673–678, 1990. View at: Publisher Site | Google Scholar
  26. USEPA, Short Sheet: Overview of the IEUBK Model for Lead in Children, United States Environmental Protection Agency, Washington, DC, USA, 2002.
  27. L. O. Rodriguez and K. R. Young, “Biological diversity of Peru: determining priority areas for conservation,” Ambio, vol. 29, no. 6, pp. 329–337, 2000. View at: Google Scholar
  28. R. Ferreyra, “Flora y Vegetación del Perú,” in Gran Geografía del Perú, Naturaleza y Hombre, Lima, Peru, 1986. View at: Google Scholar
  29. C. B. Napuri, El Desarrollo Empresarial Desde la Perspectiva Local, Red Académica Iberoamericana Local-Global, Málaga, Spain, 2008.
  30. C. Chuquimantari and Y.-L. Oroya, Mineria y Cuidades Empresa, 1992.
  31. D. M. Payne, “Andean trade preference act,” Congressional Record—Extension of Remarks, Washington, DC, USA, pp. E214–E215, 2011. View at: Google Scholar
  32. C. C. Patterson and D. M. Settle, “Review of data on eolian fluxes of industrial and natural lead to the lands and seas in remote regions on a global scale,” Marine Chemistry, vol. 22, no. 2–4, pp. 137–162, 1987. View at: Google Scholar
  33. J. M. Pacyna, “Atmospheric emissions of arsenic, cadmium, lead and mercury from high temperature processes in power generation and industry,” in Lead, Mercury, Cadmium and Arsenic in the Environment, T. C. Hutchinson and K. M. Meema, Eds., pp. 69–87, Wiley, New York, NY, USA, 1987. View at: Google Scholar
  34. D. Sánchez-Rodas, A. M. Sánchez de la Campa, J. D. de la Rosa et al., “Arsenic speciation of atmospheric particulate matter (PM10) in an industrialised urban site in southwestern Spain,” Chemosphere, vol. 66, no. 8, pp. 1485–1493, 2007. View at: Publisher Site | Google Scholar
  35. J. Hogervorst, M. Plusquin, J. Vangronsveld et al., “House dust as possible route of environmental exposure to cadmium and lead in the adult general population,” Environmental Research, vol. 103, no. 1, pp. 30–37, 2007. View at: Publisher Site | Google Scholar
  36. WHO, Guidelines for Drinking-Water Quality, World Health Organization, Geneva, Switzerland, 4th edition, 2011.
  37. L. Carrizales, I. Razo, J. I. Tellez-Hernandez et al., “Exposure to arsenic and lead of children living near a copper-smelter in San Luis Potosi, Mexico: importance of soil contamination for exposure of children,” Environmental Research, vol. 101, no. 1, pp. 1–10, 2006. View at: Google Scholar

Copyright © 2012 Matthew K. Reuer et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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