Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/7781
Title: A deterministic and stochastic assessment for exposure and risk of arsenic via ingestion of edible crops
Authors: Can Terzi, Begüm
Gündüz, Orhan
Sofuoğlu, Sait Cemil
Can Terzi, Begüm
Sofuoğlu, Sait Cemil
Can Terzi, Begüm
Sofuoğlu, Sait Cemil
Izmir Institute of Technology. Environmental Engineering
Keywords: Arsenic
Edible crops
Ingestion exposure
Risk assessment
Simav Plain
Issue Date: Sep-2019
Publisher: Springer Verlag
Source: Can Terzi, B., Gündüz, O., and Sofuoğlu, S. C. (2019). A deterministic and stochastic assessment for exposure and risk of arsenic via ingestion of edible crops. Environmental Science and Pollution Research, 26(26), 26855-26868. doi:10.1007/s11356-019-05774-y
Abstract: Natural arsenic contamination is a critical problem for various places around the world. Simav Plain (Kutahya, Turkey) is one such area that was shown to have natural arsenic contamination in its waters and soils. Arsenic exposure through ingestion of edible crops cultivated in Simav Plain and associated health risks were assessed in this study. To achieve this objective, arsenic levels in 18 crop species were estimated based on measured soil arsenic concentrations. Individual and aggregate non-carcinogenic and carcinogenic risks associated with ingestion of arsenic-contaminated crops were then assessed with scenario-based deterministic point estimates and stochastic population estimates. Monte Carlo simulation was used for the estimation of population health risks. Accordingly, wheat was found as the highest-ranked crop specie for the both types of health risks, followed by tomato and potato, which are three of the most consumed crops in the region. The risk levels estimated in this study were relatively high, indicating consumption of crops grown in the plain may be posing significant health risks even at lower-bound estimates. Consuming wheat, tomato, potato, and their products from uncontaminated sources was found to reduce the aggregate risks up to 88% implicating the importance of proposing suitable management measures for similar risk-prone areas.
URI: https://doi.org/10.1007/s11356-019-05774-y
https://hdl.handle.net/11147/7781
ISSN: 0944-1344
0944-1344
Appears in Collections:Environmental Engineering / Çevre Mühendisliği
PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Sürdürülebilir Yeşil Kampüs Koleksiyonu / Sustainable Green Campus Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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