Validating self-reported Toxic Release Inventory data using Benford's Law: investigating toxic chemical release hazards in floodplains

Autor: Kristin Osiecki, Syed Hussaini, Apostolis Sambanis, Logan Quinsey, Chloe Liew
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Frontiers in Public Health, Vol 12 (2024)
Druh dokumentu: article
ISSN: 2296-2565
DOI: 10.3389/fpubh.2024.1342510
Popis: IntroductionAcute and long-term health impacts from flooding related toxic chemical releases are a significant local health concern and can disproportionately impact communities with vulnerable populations; reliable release data are needed to quantify this hazard.MethodsIn this paper, we analyze US Federal Emergency Management Agency designated floodplain data and US Environmental Protection Agency Toxic Release Inventory (TRI) data to determine if geographically manipulated databases adhere to Benford's Law.ResultsWe investigated multiple variants and discovered pollution releases adhere to Benford's Law and tests which thereby validates the self-reported toxic release dataset.DiscussionWe find that Benford's Law applies to self-reported toxic chemical release and disposal data, indicating a lack of widespread data errors or manipulation.
Databáze: Directory of Open Access Journals