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Enteromorpha is a species of algae biomass that is spread widely and has resulted in green tides in China in recent years. It was urgent to explore an appropriate method for taking advantage of the ocean waste as an energy supply in the current sustainable development. Pyrolysis, as the first step of thermochemical conversion in energy utilization, was given attention in order to study its behavior based on thermogravimetric experiments over a wide heating-rate range from 5 to 60 K/min. The whole pyrolysis process was divided into three stages: water evaporation, the main components decomposition, and carbonate decomposition. To estimate the detailed kinetic parameters (activation energy, the pre-exponential factor, and reaction order etc.), the Kissinger method was used to establish the original kinetic parameters at different stages and provide the parameter search range for the next heuristic algorithm, and then the Shuffled Complex Evolution optimization algorithm was coupled and first applied to the algae biomass pyrolysis. Eventually, the predicted results of mass loss rate based on the optimized kinetic parameters agreed well with the thermogravimetric experimental data, with the R 2 value being up to 0.92 for all the heating rates.

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BackgroundPublic opinion has a dynamic relationship with policy and real‐world outcomes in liberal settings where reliable information is abundant. In these settings, the public continuously updates its opinions with reliable policy‐relevant information, and the changes in public opinion go on to affect policy and outcomes. It is unknown whether this dynamic exists in illiberal settings where the public's access to reliable information is heavily restricted.ObjectivesThis article advances a theory of public opinion's dynamic relationship with policy and outcomes that applies to illiberal settings.MethodsOur study examines a vital public good in one of the world's most restrictive information environments and estimates a dynamic model of relationships among three variables—public opinion, policy, and outcomes—with a focus on public opinion and outcomes as the key dependent variables. The analysis looks at air pollution remediation in 274 Chinese localities.ResultsWe find that public opinion reacts to objective air pollution outcomes and not to misleading information that downplays air pollution severity, which suggests the public can accurately evaluate the reliability of available information. We also find that local public opinion's impact on local air pollution is substantively meaningful on timescales as short as 1 to 2 years, indicating that the additional policy effort prompted by public opinion change is sufficient to yield tangible real‐world outcomes even in the short term.ConclusionPublic opinion has a dynamic relationship with policy and real‐world outcomes even in highly illiberal settings. We argue that these findings are likely to generalize across issue domains with outcomes that can be directly observed by the public.