DataSheet1_Microplastic Fiber Emissions From Wastewater Effluents: Abundance, Transport Behavior and Exposure Risk for Biota in an Arctic Fjord.PDF

• Main Authors: Dorte Herzke, Peygham Ghaffari, Jan Henry Sundet, Caroline Aas Tranang, Claudia Halsband
• Format: Dataset
• Language: unknown
• Published: 2021
• Subjects: Environmental Science; Climate Science; Environmental Impact Assessment; Environmental Management; Soil Biology; Water Treatment Processes; Environmental Engineering Design; Environmental Engineering Modelling; Environmental Technologies; microplastic fiber; plankton; benthos; FVCOM model; encounter risk; arctic fjord; hydrodynamic model; waste water effluent; Arctic; Svalbard; Longyearbyen; Svalbard Archipelago; Adventfjorden
• Online Access: https://doi.org/10.3389/fenvs.2021.662168.s001; https://figshare.com/articles/dataset/DataSheet1_Microplastic_Fiber_Emissions_From_Wastewater_Effluents_Abundance_Transport_Behavior_and_Exposure_Risk_for_Biota_in_an_Arctic_Fjord_PDF/14741949

Microfibers (MF) are one of the major classes of microplastic found in the marine environment on a global scale. Very little is known about how they move and distribute from point sources such as wastewater effluents into the ocean. We chose Adventfjorden near the settlement of Longyearbyen on the Arctic Svalbard archipelago as a case study to investigate how microfibers emitted with untreated wastewater will distribute in the fjord, both on a spatial and temporal scale. Fiber abundance in the effluent was estimated from wastewater samples taken during two one-week periods in June and September 2017. Large emissions of MFs were detected, similar in scale to a modern WWTP serving 1.3 million people and providing evidence of the importance of untreated wastewater from small settlements as major local sources for MF emissions in the Arctic. Fiber movement and distribution in the fjord mapped using an online-coupled hydrodynamic-drift model (FVCOM-FABM). For parameterizing a wider spectrum of fibers from synthetic to wool, four different density classes of MFs, i.e., buoyant, neutral, sinking, and fast sinking fibers are introduced to the modeling framework. The results clearly show that fiber class has a large impact on the fiber distributions. Light fibers remained in the surface layers and left the fjord quickly with outgoing currents, while heavy fibers mostly sank to the bottom and deposited in the inner parts of the fjord and along the northern shore. A number of accumulation sites were identified within the fjord. The southern shore, in contrast, was much less affected, with low fiber concentrations throughout the modeling period. Fiber distributions were then compared with published pelagic and benthic fauna distributions in different seasons at selected stations around the fjord. The ratios of fibers to organisms showed a very wide range, indicating hot spots of encounter risk for pelagic and benthic biota. This approach, in combination with in-situ ground-truthing, can be instrumental in understanding ...