Ackumuleringen av plast och mikroplast i miljön är idag en globalt aktuell fråga. Forskning kring mikroplast och dess påverkan på miljö och biota har ökat kraftigt det senaste decenniet. En av de största utsläppskällorna till mikroplast är slitage från vägtrafiken, speciellt från däck, men mikroplast kan även komma från vägmarkeringar. Vägmarkeringar innehåller plastpolymerer (som bindemedel), fyllnadsmedel, pigment och tillsatsämnen (additiv), och ofta ingår även glaspärlor. Vissa ämnen kan ge en negativ påverkan på människa och miljö. I dagsläget saknas det data för att kunna kartlägga i vilken omfattning vägmarkeringsslitage bidrar till spridning av mikroplaster samt för att bedöma om och hur det skulle kunna påverka miljön och vattenlevande organismer. I detta examensarbete har toxicitetstest av lakvatten från vägmarkeringsprodukter utförts med algen Raphidocelis subcapitata för att studera om de är toxiska samt om det finns någon skillnad mellan olika vägmarkeringsprodukter. Partiklar från fyra olika typer av vägmarkeringsprodukter (prefabricerad termoplast, varmapplicerad termoplast, vattenbaserad akrylatfärg och 2-komponentsakrylatfärg) genererades och lakades var för sig med skakning i avjoniserat vatten under 24 timmar. Lakvattnen utan partiklar användes sedan till algtillväxthämningstest. Algerna exponerades under 72 timmar för lakvatten i olika koncentrationer, där den högsta motsvarade 100 g vägmarkeringspartiklar per liter, och algtillväxt mättes. Effektmåtten var maximal tillväxthastighet och lag-fas och dessutom analyserades korrelationen mellan dem som ett mått för anpassningseffektivitet. De fyra lakvattnen påverkade lag-fas och/eller tillväxthastighet i olika omfattning och medförde antingen inhibering eller stimulering av algtillväxten. Lakvattnet från den vattenbaserade akrylatfärgen påvisade störst inhibering av tillväxt och var även det mest toxiska eftersom ingen tillväxtanpassning skedde. För övriga lakvatten påvisades olika grad av anpassningseffektivitet av alger vid exponering. Dock krävs mer ingående statistisk utvärdering för att åtskilja de två lakvatten som hade minst påverkan, dvs. från den prefabricerade och den varmapplicerade termoplasten.  Detta är enbart en första studie. Upprepade tester med fler vägmarkeringsprodukter och fler tester med andra organismer, såsom bakterier, kärlväxter, kräftdjur och fisk, krävs för att bättre kunna utreda om och hur olika vägmarkeringar kan påverka biota. För ytterligare studier skulle det vara intressant att utvärdera vilka ämnen i vägmarkeringar som kan påverka miljön och om dessa skulle kunna ersättas med andra, mindre giftiga ämnen. / The accumulation of plastic and microplastics in the environment is a current global issue. Research on microplastics and its impact on the environment and biota has increased rapidly in the last decade. One of the largest sources of microplastics is wear from road traffic, especially tires, but they can also originate from road markings. Road markings contain plastic polymers (as a binder), fillers, pigments, and additives, and often also glass beads. Some substances may have a negative impact on humans and the environment. At present, there are no data to map the extent to which wear from road markings contributes to the emissions of microplastics, or to assess the effect they might cause on the environment and aquatic organisms. In this thesis, toxicity tests on leachates from road marking products were conducted on the alga Raphidocelis subcapitata to study the effect on the algae and if it differs between the different products.  Particles from four types of road marking products (prefabricated thermoplastic, hot-applied thermoplastic, acrylic water-based paint, and 2-component acrylic paint) were generated and leached separately by shaking in deionized water for 24 hours.  The leachates without particles were used in the standard algal growth inhibition tests. The algae were exposed for 72 hours to the leachates in different concentrations, with the highest corresponding to 100 g road marking particles per liter, and algal growth was monitored. Endpoints used were maximum growth rate and lag phase and, in addition, their correlation was analyzed as an indicator for adaptation capacity. The four leachates affected lag phase and/or growth rate to a varying extent and caused inhibition or stimulation of algae growth. Exposure to leachate from the water-based acrylic paint showed most inhibition of growth and was also the most toxic as no growth adaptation was observed. For the other tests, different rates of adaptation efficiency of the algae growth were found. However, more detailed statistical evaluation is needed to differentiate between the two leachates that had the least effect, i.e. the prefabricated and the hot-applied thermoplastic. This is only a first study. More tests with more road marking products and with other organisms, such as bacteria, vascular plants, crustaceans, and fish, are required to better understand if and how different road markings could affect biota. Additionally, an evaluation of what substances in road marking materials may cause effects and whether these can be replaced by other, less toxic substances, would be of interest.

The effect of variations in aluminum and copper concentrations on the growth rate and enzyme activity of the green alga Scenedesmus quadricauda was investigated. The goal was to determine which chemical species control the biological parameters. The computer program MINEQL (Westal et al 1976) was used to estimate chemical speciation. In the prevalence of both metals, algal growth rate and alkaline phosphatase activity could be correlated to cupric ion activity. The activity of isolated bacterial alkaline phosphatase was found to be a function of both total copper concentration and cupric ion activity. A model was developed to predicted the effects on alkaline phosphatase of perturbation in aquatic chemistry.

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The phenomenon of rapid algal blooms in response to nutrient overloads has been adapted to treat synthetic domestic wastewater. Various algal consortia collected from several eutrophied water bodies were subject to high density algal culture (upto 106-107 cells/mL) and screened for rapid algal growth, pollutant removal, nutrient recovery under mixotrophy and auto-flocculation. When tried in laboratory scale algal ponds, these algal consortia showed growth rates between 0.15 and 1.07 d-1. Results indicate that Chlorella occurred frequently among most consortia although not always the largest in number. While individual algal species varied in growth rates among these consortia, the log phase for most of these algae lasted 4-5 d after which the algal species began to flocculate between day 5-8 at different rates. The flocculation stage lasted between Day 6-8 wherein about 65% cells flocculated during monsoon and over 90% in winter. Although over 90% removal of N and 80% removal of P occurred in this period, the net N and P harvested as flocculated algae ranged from ~30-50% and ~40-70%, respectively. A consortia approach, wherein algal cells auto-flocculate after reaching a high cell density and nutrient removal provides an easy, low energy and sustainable approach to simultaneous wastewater treatment as well as energy and nutrient recovery from domestic wastewaters.

Indiana University-Purdue University Indianapolis (IUPUI) / In this research, Environmental Fluid Dynamic Code (EFDC) and Adaptive- Networkbased Fuzzy Inference System Models (ANFIS) were developed and implemented to determine the spatial-temporal distribution of cyanobacterial metabolites: 2-MIB and geosmin, in Eagle Creek Reservoir, IN. The research is based on the current need for understanding algae dynamics and developing prediction methods for algal taste and odor release events. In this research the methodology for prediction of 2-MIB and geosmin production was explored. The approach incorporated a combination of numerical and heuristic modeling to show its capabilities in prediction of cyanobacteria metabolites. The reservoir’s variable data measured at monitoring stations and consisting of chemical/physical and biological parameters with the addition of calculated mixing conditions within the reservoir were used to train and validate the models. The Adaptive – Network based Fuzzy Inference System performed satisfactorily in predicting the metabolites, in spite of multiple model constraints. The predictions followed the generally observed trends of algal metabolites during the three seasons over three years (2008-2010). The randomly selected data pairs for geosmin for validation achieved coefficient of determination of 0.78, while 2-MIB validation was not accepted due to large differences between two observations and their model prediction. Although, these ANFIS results were accepted, the further application of the ANFIS model coupled with the numerical models to predict spatio-temporal distribution of metabolites showed serious limitations, due to numerical model calibration errors. The EFDC-ANFIS model over-predicted Pseudanabaena spp. biovolumes for selected stations. The predicted value was 18,386,540 mm3/m3, while observed values were 942,478 mm3/m3. The model simulating Planktothrix agardhii gave negative biovolumes, which were assumed to represent zero values observed at the station. The taste and odor metabolite, geosmin, was under-predicted as the predicted v concentration was 3.43 ng/L in comparison to observed value of 11.35 ng/l. The 2-MIB model did not validate during EFDC to ANFIS model evaluation. The proposed approach and developed methodology could be used for future applications if the limitations are appropriately addressed.