Scoping Review of the Environmental and Human Health Effects of Rural Alaska Landfills
Highlights
- This work reviews articles related to landfills in rural Alaska communities and may guide future research related to gaps identified in this review.
- Unlined landfills lacking leachate collection systems may impact public health.
- This work identifies several potential disease transmission and chemical exposure pathways associated with such landfills, which are primarily found in rural and tribal communities already facing significant health disparities.
- If harvested, birds, fish, other animals and plants living, growing, or feeding by open surface area landfills could present public health implications for Indigenous and other hunting populations via ingestion or contact with waste pathogens or chemicals.
- This review paper elucidates the need to continue to assess landfill contaminant transport, exposure pathways and risks and the unique challenges of solid waste management in rural Alaska and other Arctic environments.
- Future research directions regarding the risk to subsistence resources and the associated health implications for Alaska Native and other Arctic subsistence-based cultures should prioritize community-based, co-produced research that integrates Indigenous Knowledge with Western science. This approach is crucial for addressing the existing health disparities and unique environmental exposures faced by these communities.
Abstract
1. Introduction
2. Materials and Methods
3. Results
3.1. Conceptual Model

3.2. Environmental Results
| Author (Year) | Environmental Impact | Source Type | Main Outcome | Location | Sample Size | Main Finding |
|---|---|---|---|---|---|---|
| Ahlstrom et al. (2018) [73] | Microbes | Scientific Article | E. coli | Soldotna landfill in southcentral Alaska | 27 E. coli isolates (13 from 20 bald eagles, 14 from 56 gulls) | Some E. coli isolates had sequence types associated with human infections and contained clinically relevant resistance genes. Gulls and eagles demonstrated some genetically unrelated isolates with identical resistance profiles, while other isolates had identical core genomes and different resistance profiles. These results suggest bacterial strain sharing between species as well as horizontal gene transfer, with landfills serving as a source for antimicrobial resistance (AMR) acquisition or maintenance. |
| Ahlstrom et al. (2019) [74] | Microbes | Scientific Article | E. coli | Kenai Peninsula | 17 gulls, 139 Pacific salmon | AMR E. coli prevalence varied across time and space among gulls tracked longitudinally, although the landfill and the lower Kenai River had the highest prevalence. They found no evidence of E. coli in salmon from personal-use dipnet fisheries. These results suggest that gulls acquire AMR E. coli at anthropogenically disturbed sites and then transport it as they migrate. |
| ATSDR (2019) [91,96] | Water | Report | Heavy metals | Port Heiden, Alaska | Varied depending on part of study | Based on the physical and chemical hazards in Port Heiden, the authors found that people could be injured by surface debris. They also found that school drinking water met standards after treatment and called for greater information to assess residential wells, contamination from landfills/military, vapor intrusion, and contamination of subsistence foods. |
| ATSDR (2014) [94] | Soil | Report | PCBs | Port Heiden, Alaska | N/A | The low PCB levels detected in the relay station soil, roadway, and small animals were not expected to cause health effects. Crowberries had low but safe levels of PCBs; however, they recommended that crowberry consumption should be avoided. The area with foundation cover soils and Pad Grid 1—which is infrequently visited by residents—had high PCB levels. They could not assess risk from marine sources. |
| Barnes (2011) [62] | Water, microbes | Report | Environmental contaminants, E.coli, and Enterococci | Rural Alaska | 4 communities | E.coli and Enterococci were present in all waste-impacted surface and subsurface water samples. They also detected seven pharmaceutical compounds in the sewage lagoon and landfill-impacted water. |
| Brunett (1990) [79] | Water | Report | Physiochemical parameters, environmental contaminants | Merrill Field Landfill, Anchorage, Alaska | 444 measurement stations and 20 wells | Leachate from the closed Merrill Field landfill did not appear to be contaminating the creek that flows through the area. However, leachate was transported to the southern wetlands through groundwater. Contaminants reached wetlands as far as 2200 feet away based on aquifer and well sampling, although levels were below EPA drinking water standards. |
| Chambers (2005) [77] | Microbes | Thesis | E. coli, total coliform, Giardia lamblia, and Cryptosporidium parvum | Rural Alaska | Varied depending on part of study | Surface water flow transported bacteria to the community during spring thaw, but flow from the landfill did not contribute to contamination in town. Inside homes, fecal bacteria were found on water dippers, kitchen counters and floors, and in washbasin water. Giardia was found at the landfill. |
| Chambers et al. (2009) [78] | Microbes | Scientific Article | E. coli and total coliform | Rural Alaska | 19 boot samples, 12 road/off road sample pairs, 4 puddle samples, 45 ATV samples, 10 tarp samples | Shoes transported fecal contaminants inside homes. Fecal contamination was also observed in puddles on the roads and on ATV tires, which suggests vehicle use is one transport route for fecal contaminants. |
| Downey (1990) [82] | Water | Report | Physiochemical parameters, heavy metals | Fairbanks, AK | 22 wells, 2 rivers | Leachate was flowing to the Northwest of the Fairbanks-North Star Borough landfill. It remained near the water table. Chemical data showed elevated levels of several ions in the leachate plume, but they fell to background within a short distance from the landfill, suggesting water-supply wells would not be affected. |
| Flynn (1985) [83] | Water | Report | Physiochemical parameters, heavy metals | Fairbanks, AK | 22 wells, 2 rivers | Several wells in the Fairbanks Sanitary Landfill showed high concentrations of chloride, iron, and manganese compared to background levels. They also had relatively low pH and dissolved-oxygen concentrations. However, these constituents and properties fell to background levels in wells north and west of the landfill. |
| Gilbreath (2004) [97] | Air | Thesis | Adverse birth outcomes, self-report health symptoms | Rural Alaska | 1225 individuals (self-report), 10,073 individuals (birth outcomes), 10,360 individuals (congenital anomalies) | Self-reported health symptoms were associated with odor complaints, burning trash, number of visits to the landfill, subsistence practices, and residing within a 1/2 mile of a dumpsite. Women living in intermediate and high hazard dumpsite communities had lower birthweight, shorter gestation length, and greater congenital defects. |
| Glass (1986) [84] | Water | Report | Physiochemical parameters | Connors Bog Area, Anchorage, AK | 36 wells | Leachate was found beneath and near the abandoned landfill, and it contained elevated levels of dissolved solids, dissolved chloride, and total organics. The leachate was limited to < 500 feet from the landfill’s edge, and they found no evidence of leachate in the lake. |
| Hanson et al. (2008) [63] | Heat | Scientific Article | Temperature | Alaska, Michigan, British Columbia, New Mexico | 4 landfill sites with 700 sensors (measured weekly) | They measured landfill temperatures at different depths in four landfills. The warmest section was the central part of the middle third fraction. Higher areas were more similar to air temperature. The highest temperatures were observed in Michigan, followed by British Columbia, New Mexico, and Alaska. |
| Hanson et al. (2010) [98] | Heat | Scientific Article | Temperature | Alaska, Michigan, British Columbia, New Mexico | 4 landfill sites with 700 sensors (measured weekly) | They measured landfill temperatures at different depths in four landfills. The warmest part was the central part of the middle third fraction. Higher areas were more similar to air temperature. Temperatures were greatest in Michigan, then British Columbia, New Mexico, and Alaska. Anaerobic decomposition was associated with greater temperatures, temperature increases, and heat gain. Insulating materials applied over covers decreased temperature variation. |
| Liu (2007) [61] | Heat | Thesis | Temperature | Michigan, New Mexico, Alaska, and British Columbia | 4 landfill sites that included 609 temperature sensors (measured weekly) and 327 gas sensors (measured monthly) | Temperatures and methane at shallow depths or near landfill edges fluctuated seasonally. Both measures were stable in the middle and lower portions near the base. Their temperature and gas-release models accurately represented field conditions. |
| Mutter (2014) [18] | Water, microbes | Thesis | Environmental contaminants, E.coli, and Enterococci | Rural Alaska | 5 communities (5 dumps, 2 sewage systems) | E.coli and Enterococcus sp. were present in waste-impacted water and soil samples. They also observed heavy metal migration into nearby freshwater sources and found pharmaceuticals, phthalates, and benzotriazole in waste-impacted water samples. |
| Mutter et al. (2017) [86] | Microbes | Scientific Article | E.coli and Enterococci | Ekwok, White Mountain, Fort Yukon, Allakaket | 4 communities | Although all samples indicated high site-specific variability, both E. coli and Enterococcus sp. preferentially attached to and migrated with soil particles in surface waters. Additionally, both were transported off-site in snowmelt runoff. Enterococcus sp. had greater viability in cold conditions. |
| Naidu (2003) [89] | Soil | Scientific Article | Heavy metals | North Slope, Alaska | 2 sites | In the urban site, V increased each decade and Ba from 1986 to 1997. In both sites, levels of all metals were similar to unpolluted marine environments. Less than 1% of Hg was methylated, and percentages of elements bound in the non-lithogenous phase varied (50% Mn, 25–35% Co, 15–20% Zn, Cu, Ni, 10% V & Fe, and <3% of Cr). |
| Nelson (1984) [80] | Water | Conference Paper | Water Quality | Anchorage, Alaska | N/A | They calculated that incipient entry of pollutants into the aquifer would begin 80 years after leachate began migrating downward and would only reach “full strength” of breakthrough after 250 years. |
| Patterson et al. (2012) [85] | Water, microbes | Report | Physiochemical parameters, heavy metals, environmental contaminants, E. coli, and Enterococcus | Rural Alaska | 5 villages | They did not find evidence that landfill leachate was contaminating drinking water. However, they observed that microbial pathogens and aluminum levels were elevated in the leachate and should be monitored in treated drinking water and source waters. |
| Peirce & Van Daele (2006) [75] | Animal garbage consumption | Scientific Article | Behavioral observations | Dillingham, Alaska | 70 brown bears | Seventeen bears were predictable users of the Dillingham Landfill and had temporal patterns of use. Between four and 33 bears visited each night, with peak use occurring in July. Subadult activity peaked in June, male activity in June and August, and females with cubs in September. The most socially dominant bears fed the most from the landfill. |
| Solid Waste Program, Alaska DEC (2015) [87] | Soil | Report | Erosion risk | North & West AK coasts & ≤ 300 miles upriver, Aleutian Islands | 716 sites in 124 communities | Based on erosion risk and contaminant risk scores, they wrote Detailed Action Plans for the sites with the highest risk of eroding and distributing contaminants. |
| Weiser & Powell (2010) [76] | Animal garbage consumption | Scientific Article | Garbage in diet samples | Barrow, AK | Nonbreeding colony: 193 samples in 2007 and 248 2008. Breeding colony: 46 samples in 2007 and 403 in 2008. | Breeding adult gulls ate less garbage than nonbreeding gulls. Breeding gull samples showed no garbage change 2007–2008 while nonbreeding gulls consumed less garbage in 2008 than in 2007. Overall, garbage remained a large part of the diet in 2008. |
| Yesiller et al. (2005) [65] | Heat | Scientific Article | Temperature | Alaska, Michigan, British Columbia, New Mexico | 4 landfill sites with 355 temperature sensors (measured weekly) & 238 gas sensors (measured monthly) | Temperatures at shallow depths and near the edges of the landfills were similar to seasonal temperature variations. Deep and central locations had elevated temperatures compared to air and ground temperatures. Waste temperatures also decreased near the base. Peak Heat Content values were 12.5–47.8 °C/day. The highest values for temperatures, gradients, heat content, and heat generation were Michigan, followed by British Columbia, Alaska, and New Mexico. |
| Yesiller et al. (2008) [64] | Heat | Scientific Article | Temperature | Alaska, Michigan, British Columbia, New Mexico | 4 landfill sites | Landfill cover temperature varied seasonally with air temperature; it also demonstrated amplitude decrement and phase lag with depth. They found that warmer waste underneath landfill cover was associated with warmer cover and less frost penetration. Maximum and minimum temperature ranges were 18–30 °C and 13–21 °C. Average temperature was 13–18 °C at 1 m and 14–23 °C at 2-m depths. They found that frost depths were approximately 50% of those for soils at ambient conditions. Heat mainly flowed upward in the covers. Cover gradients varied between 18 & 14 °C/m. |
| Zenone (1975) [81] | Water | Scientific Article | Physiochemical parameters, heavy metals | Alaska, Michigan, British Columbia, New Mexico | 18 wells across 3 landfill sites | Leachate was detected in the ground water near two sites. At these sites, the water table was near land surface and waste was deposited at or below the water table. The leachate plume seemed to attenuate within the landfill or close by at the first site. They did not find leachate at a third site where waste disposal occurs above the water table. |
3.2.1. Water
3.2.2. Soil
3.2.3. Air
3.2.4. Heat
3.2.5. Microbes
3.2.6. Animal Garbage Consumption Patterns
3.3. Human Health Results
| Author | Study Focus: Adult or Child Health | Article Type | Main Outcome | Location | Sample Size | Summary |
|---|---|---|---|---|---|---|
| Central Council of Tlingit and Haida Tribes & Zender Environmental (2003) [23] | Adult | Report | Self-report health symptoms | Rural Alaska | 101 Alaska Native communities and 1225 individuals | Most waste disposal sites in Alaska Native Villages were open dumps with little management. Due to limited solid waste management services, most residents dumped their own waste. Improper disposal of waste, such as unsorted burning and uncovered antifreeze, also contributed to the health risks. |
| Gilbreath (2004) [97] | Adult & Child | Thesis | Adverse birth outcomes, self-report health symptoms | Rural Alaska | 1225 individuals (self-report), 10,073 individuals (birth outcomes), 10,360 individuals (congenital anomalies) | Worse self-reported health symptoms were associated with residing within a 1/2 mile of a dumpsite, odor complaints, burning trash, number of visits to the landfill, and subsistence practices. Women living in intermediate and high hazard dumpsite communities had lower birthweight, shorter gestation length, and greater congenital defects. |
| Gilbreath & Kass (2006) [99] | Child | Scientific Article | Adverse birth outcomes | Rural Alaska | 10,073 individuals | Villages with intermediate and high hazard dumpsites had significantly greater percentage of infants with low birth weight and intrauterine growth retardation. Specifically, infants weighed 55.4 g and 36 g less when their mother was in the high exposure group compared to the low and intermediate exposure groups, and this effect was even larger when limited to Alaska Native mothers only. |
| Gilbreath & Kass (2006) [100] | Child | Scientific Article | Adverse birth outcomes | Rural Alaska | 10,360 individuals | Villages with intermediate and high hazard dumpsites did not have statistically significantly greater fetal and neonatal death or congenital anomalies. Mothers living in villages with high hazard dumpsites were four times more likely to have congenital anomalies classified as “other”. |
| McBeth (2010) [101] | Adult | Thesis | Respiratory infection deaths | Rural Alaska | 196 villages | High household size and low household income predicted greater pneumonia/influenza deaths in Alaska Native Villages. Tuberculosis deaths were associated with residence in certain areas and the type of heating fuel used in the home. Lastly, infectious disease deaths were positively associated with a high percentage of Alaska Natives in the population, large household, low percentage below poverty, and lack of healthcare within the village. |
| Zender et al. (2003) [24] | Adult | Report | Self-report health symptoms | Rural Alaska | 101 Alaska Native communities and 1225 individuals | Most waste disposal sites in Alaska Native Villages were open dumps with little management. Due to limited solid waste management services, most people dumped their own waste. Improper disposal of waste, such as unsorted burning and uncovered antifreeze, also contributed to the health risks. |
3.3.1. Infant Health
3.3.2. Population Health
4. Discussion
Unique Risks for Alaska Native Communities
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A
| Database | Search String | Date Run & Results |
|---|---|---|
| PubMed | (((“Open landfill”[tw] OR “Dump sites”[tw] OR “Dumpsites”[tw] OR “Open Dump”[tw] OR “Unlined landfill”[tw] OR “Class III landfill”[tw] OR “E-waste”[tw] OR “electronic waste”[tw] OR “Solid waste”[tw] OR “Solid waste disposal”[tw] OR “Household hazardous waste”[tw] OR “Hazardous waste”[tw] OR “Human waste”[tw] OR “Honeybucket”[tw] OR “Construction waste disposal”[tw] OR “demolition waste disposal”[tw] OR “Ash”[tw] OR “Mixed waste”[tw] OR “Leachate”[tw] OR “Lagoon”[tw] OR “holding pond”[tw]) AND (“Alaska”[tw] OR “Arctic”[tw] OR “Rural”[tw] OR “Indigenous”[tw] OR “Cold region”[tw] OR “Alaska Native Village”[tw] OR “Alaska Tribe *”[tw] OR “Alaska Tribal”[tw] OR “Indian land *”[tw])) AND 1980:3000 [dp]) | 10 December 2021 788 results HERO Import Batch ID: 45090 |
| Web of Science Core Collection | (((TS = “Open landfill” OR TS = “Dump sites” OR TS = “Dumpsites” OR TS = “Open Dump” OR TS = “Unlined landfill” OR TS = “Class III landfill” OR TS = “E-waste, electronic waste” OR TS = “Solid waste” OR TS = “Solid waste disposal” OR TS = “Household hazardous waste” OR TS = “Hazardous waste” OR TS = “Human waste” OR TS = “Honeybucket” OR TS = “Construction waste disposal” OR TS = “demolition waste disposal” OR TS = “Ash” OR TS = “Mixed waste” OR TS = “Leachate” OR TS = “Lagoon” OR TS = “holding pond”) AND (TS = “Alaska” OR TS = “Arctic” OR TS = “Rural” OR TS = “Indigenous” OR TS = “Cold region” OR TS = “Alaska Native Village” OR TS = “Alaska Tribe *” OR TS = “Alaska Tribal” OR TS = “Indian land *”)) AND (PY = 1980–2022)) | 10 December 2021 2888 results HERO Import Batch ID: 45091 |
Appendix B
- Make include/exclude decision.
- 2.
- For included papers, apply the following tags where relevant (individual tags and comment fields are indicated in bold).
- Abstract—comment: note if abstract is missing; if abstract is missing, assign tags below based on title, where possible
- LOCATION: geographic area addressed in paper
- ◦
- Alaska
- ◦
- Other arctic/subarctic regions
- ▪
- North America
- ▪
- Europe
- ▪
- Asia
- ▪
- Other
- ◦
- Non-arctic/subarctic regions
- ▪
- US
- ▪
- Non-US
- ▪
- Not specified
- ◦
- Indigenous land
- ◦
- Non-indigenous rural land
- ◦
- Not specified: location is not stated or clear based on title/abstract
- Landfill/waste disposal type—comment: note what type of landfill or waste disposal is addressed in the paper (e.g., lined or unlined, any waste burning, etc.), or if landfill or waste disposal type is not specified
- WASTE TYPE: types of waste addressed in paper
- ◦
- Not specified
- ◦
- Human waste: e.g., biosolids
- ◦
- Household waste: e.g., domestic wastes
- ◦
- Hazardous waste
- ◦
- Construction/demolition waste
- ◦
- Electronic waste
- Waste type—comment: note any information about specific types of waste addressed in paper, particularly if none of the above tags seem appropriate
- TOPICS: specific topic areas addressed in paper
- ◦
- Air quality
- ◦
- Water quality
- ◦
- Soil quality
- ◦
- Human health effects
- ◦
- Other environmental effects
- ◦
- Management/remediation
- Topics—comment: briefly note any information about topics of interest addressed in paper, particularly if none of the above tags seem appropriate
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Chaney, C.; Moore-Nall, A.; Albert, C.; Beebe, C.; Bierwagen, B.; Davis, M.; Demoski, A.; Ip, A.; Jordan, P.; Lee, S.S.; et al. Scoping Review of the Environmental and Human Health Effects of Rural Alaska Landfills. Int. J. Environ. Res. Public Health 2026, 23, 45. https://doi.org/10.3390/ijerph23010045
Chaney C, Moore-Nall A, Albert C, Beebe C, Bierwagen B, Davis M, Demoski A, Ip A, Jordan P, Lee SS, et al. Scoping Review of the Environmental and Human Health Effects of Rural Alaska Landfills. International Journal of Environmental Research and Public Health. 2026; 23(1):45. https://doi.org/10.3390/ijerph23010045
Chicago/Turabian StyleChaney, Carlye, Anita Moore-Nall, Chad Albert, Catherine Beebe, Britta Bierwagen, Michelle Davis, Alice Demoski, Angel Ip, Page Jordan, Sylvia S. Lee, and et al. 2026. "Scoping Review of the Environmental and Human Health Effects of Rural Alaska Landfills" International Journal of Environmental Research and Public Health 23, no. 1: 45. https://doi.org/10.3390/ijerph23010045
APA StyleChaney, C., Moore-Nall, A., Albert, C., Beebe, C., Bierwagen, B., Davis, M., Demoski, A., Ip, A., Jordan, P., Lee, S. S., Mutter, E., Oliver, L., Rallo, N., Schofield, K., Seetot, J., Shugak, A., Tom, A., Turner, M., & Zender, L. (2026). Scoping Review of the Environmental and Human Health Effects of Rural Alaska Landfills. International Journal of Environmental Research and Public Health, 23(1), 45. https://doi.org/10.3390/ijerph23010045

