Arsenic contamination in rice: a DPSIR analysis with a focus on top rice producers
Hasa Ali Abdulla, Mohammad A. Al‐Ghouti, Lama Soubra
Abstract
Arsenic contamination in rice poses significant risks to public health and food security. While previous reviews have examined specific aspects of this issue, they often lack a comprehensive analysis linking human activities to arsenic contamination and its broader consequences. This review applies the DPSIR (Driving Forces-Pressures-States-Impacts-Responses) framework to elucidate the cause-and-effect relationships of arsenic contamination in rice, with a focus on top rice producers. It also synthesizes current knowledge on the environmental sources, fate, and transport of arsenic across different environmental compartments, illustrating its movement from emission sources to accumulation in rice while highlighting the complex interplay between environmental conditions, rice varieties, and contamination levels. The DPSIR analysis revealed that socioeconomic factors, including population growth and industrialization, were the primary driving forces behind arsenic contamination in rice. These factors increased pressures such as reliance on arsenic-contaminated irrigation water, historical pesticide use, and industrial pollution, which contributed to arsenic accumulation in rice-growing environments. Consequently, the soil, water, and rice were contaminated with arsenic at various levels, posing serious risks to human health. The impacts extend beyond health concerns to disruptions in global rice trade and threats to food security. In response, various mitigation strategies have been implemented, including regulation, sustainable agricultural practices, water and soil remediation, and public guidance. However, challenges persist, requiring an integrated approach that incorporates scientific advancements, policy interventions, and improved agricultural techniques. Key research priorities include developing arsenic-resistant rice varieties, assessing health risks for vulnerable populations, quantifying economic losses, and determining arsenic-related foodborne diseases burden.