The concept of the smart city raised several technological and scientific issues including light pollution. There are various negative impacts of light pollution on economy, ecology, and heath. This paper deals with the census of the colour of light emitted by lamps used in a city environment. To this end, we derive a light bulb colour estimator based on Bayesian reasoning, directional data, and image formation model in which the usual concept of reflectance is not used. All choices we made are devoted to designing an algorithm which can be run almost in real-time. Experimental results show the effectiveness of the proposed approach.

Light pollution or artificial light at night (ALAN) is an increasing, worldwide challenge that affects many aspects of animal behaviour. Interestingly, the response to ALAN varies widely among individuals within a population and variation in personality (consistent individual differences in behaviour) may be an important factor explaining this variation. Consistent individual differences in exploration behaviour in particular may relate to the response to ALAN, as increasing evidence indicates its relation with how individuals respond to novelty and how they cope with anthropogenic modifications of the environment. Here, we assayed exploration behaviour in a novel environment as a proxy for personality variation in great tits (Parus major). We observed individual sleep behaviour over two consecutive nights, with birds sleeping under natural dark conditions the first night and confronted with ALAN inside the nest box on the second night, representing a modified and novel roosting environment. We examined whether roosting decisions when confronted with a camera (novel object), and subsequently with ALAN, were personality-dependent, as this could potentially create sampling bias. Finally, we assessed whether experimentally challenging individuals with ALAN induced personality-dependent changes in sleep behaviour.Slow and fast explorers were equally likely to roost in a nest box when confronted with either a camera or artificial light inside, indicating the absence of personality-dependent sampling bias or avoidance of exposure to ALAN. Moreover, slow and fast explorers were equally disrupted in their sleep behaviour when challenged with ALAN. Whether other behavioural and physiological effects of ALAN are personality-dependent remains to be determined. Moreover, the sensitivity to disturbance of different behavioural types might depend on the behavioural context and the specific type of challenge in question. In our increasingly urbanized world, determining whether the effects of anthropogenic stressors depend on personality type will be of paramount importance as it may affect population dynamics.

Marine Chlorella vulgaris, an efficient hydrocarbon-degrading organism, is easily affected by light. In this study, we investigated the direct effects of different light conditions on crude oil degradation by C. vulgaris and its crude enzyme. Under 12 h illumination, the crude enzyme improved hydrocarbon removal by 39.36%, whereas the addition of the enzyme and C. vulgaris increased the degradation rate by 121.73%. Conversely, the addition of enzyme under heterotrophic condition was negatively related to oil degradation by C. vulgaris, and the degradation rate decreased from 74.32% to 48.65% and further reduced by 34.54%. The results of RNA sequencing analysis suggested that hydrocarbons removal was attributed to C. vulgaris metabolism in heterotrophic physiological state. While enhanced removal efficiency of hydrocarbons was achieved in mixotrophic physiological state due to the coupling of C. vulgaris metabolism with photocatalytic oxidation. Functional enzymes played key roles in photocatalysis and biodegradation processes.

This constitutes the first study to report on the reduction in toxicity of the dinoflagellate algal toxin okadaic acid after novel pulsed light (PL) treatments where ecotoxicological assessment was performed using a miniaturised format of the conventional in vivo freshwater crustacean Daphnia sp. acute toxicity test. Bivalves accumulate this toxin, which can then enter the human food chain causing deleterious health effects such as diarrhetic shellfish poisoning. This miniaturised toxicological bioassay used substantially less sample volume and chemical reagents. Findings revealed a 24-h EC₅₀ of 25.87 μg/L for PL-treated okadaic acid at a UV dose of 12.98 μJ/cm² compared to a 24-h EC₅₀ of 1.68 μg/L for the untreated okadaic acid control, suggesting a 15-fold reduction in toxicity to Daphnia pulex. The bioassay was validated in this study and correlated well with the “classic” ISO format (r = 0.98) using the traditional reference chemical potassium dichromate (K₂Cr₂O₇). Reduction by up to 65% in PL-treated okadaic acid concentration was confirmed by LC-MS/MS analysis. Findings from this study have positive ecological, societal and enterprise implications, such as the development of PL technology for the prevention or reduce algal contamination of fisheries and aquaculture industries.