This article analyzes metaphorical models in environmental texts published in Russian and Chinese media. The relevance of this study lies in the lack of research on metaphors in Russian and Chinese environmental texts, including comparative analysis. At the same time, the study of metaphors helps to identify environmental consciousness in the linguistic picture of the world. The material for the study is texts on environmental issues in Russian and Chinese media. The purpose of this study is to identify linguocultural features by analyzing metaphorical models in the environmental discourse of Russian and Chinese media. The objectives of the study are to identify and describe metaphorical models in texts on environmental issues in Russian and Chinese media; determine their pragmatic and evaluative functions; and analyze linguocultural similarities and differences. This study uses an approach that combines comparative discourse analysis and cognitive-semantic description of metaphor based on the theory of the metaphorical model of A. P. Chudinov. The results of the study showed that the most productive metaphorical models are the criminal and military metaphors. The criminal metaphor generates a pronounced evaluativeness and moral condemnation of environmental damage; the military metaphor enhances mobilization potential and represents the managerial effect as a "victory." Linguistic and cultural differences include the Chinese text's tendency toward standardized campaign names and an emphasis on the defending subject, while Russian texts more often emphasize destruction, presented as an aggressive act and a threat. The scientific novelty of this study lies in its first comparative analysis of metaphorical models in the environmental discourse of Russian and Chinese media. The study offers an analytical approach to identifying the linguocultural characteristics of environmental media discourse and may contribute to a more accurate and appropriate linguistic formulation of the environmental agenda in the media.
Siyu Chen (Sun,) studied this question.