Floods that Strike, Rains that Kill: A Corpus-Assisted Study of Grammatical Personification and Weather Agency in Disaster Discourse

Abstract

This corpus-assisted study investigates weather as grammatical actor in Pakistani disaster-news discourse by examining how climatological and hydrological entities are promoted to subject position and construed as agentive forces through recurrent verb patterns and metaphor. Data were collected as a purpose-built Corpus of Pakistani Floods Reports (39,408 tokens; 301 texts; June 15, 2022 to July 15, 2022), compiled from ARY news and Geo news and cleaned into a plain-text format for corpus processing. The corpus was then uploaded to Sketch Engine, where keyword and concordance functions were used to identify high-salience weather nouns and extract their grammatical environments. Analytically, we proceeded in four steps: (i) a keyword-guided selection of weather nouns (rain, water, flood(s), flooding, rainfall, river, monsoon, rains), followed by lemma/POS frequency profiling; (ii) extraction of concordance lines and manual clause-level verification of cases where these nouns occur as grammatical subjects; (iii) generation of dominant verb collocates within a fixed window (R1–R3), with verbs lemmatised and auxiliaries excluded where possible; and (iv) process-type coding of predicates (material vs. relational, with mental/verbal forecast–measurement categories where relevant). Results show substantial “actor” behaviour across the target corpus, with river exhibiting the highest proportion of subject uses (37.5%, 42/112), followed by water (31.0%, 79/255) and rain (30.3%, 123/406). Verb-collocation profiles differentiate modes of agency: rain clusters with force and disruption predicates (e.g., wreak, batter, lash, kill/claim) alongside forecast/reporting routines (expect, record), while water is dominated by movement/accumulation processes (enter, accumulate, stand, flow) and flood(s) by sudden-impact verbs (sweep away, destroy, damage). Overall, the study demonstrates that disaster reporting repeatedly personifies weather through stable subject–predicate patterns that intensify causality, foreground “inevitable” natural agency, and background human responsibility.