闽北地区土壤-水稻系统重金属的概率风险评估及来源识别

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Anni Wei , Jin Jia , Pengyan Chang , Songliang Wang
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引用次数: 0

摘要

本研究对闽北地区水稻土中重金属的生态-人体健康风险及来源进行了调查。利用创新的生态和健康指标,以概率形式评估,而不是传统的商数形式,使结果更准确。在计算非致癌风险的危害指数(HI)和致癌风险的总致癌风险(TCR)时,考虑了重金属的生物可及性(BA),表明食用米粒对健康的危害是显著的。儿童和成人的HI和TCR值均超过标准值。同时,土壤中重金属的健康风险并不像预期的那么高。Cd地球化学基线值(GBV) (0.087 mg/kg)高于背景浓度值(BCV) (0.054 mg/kg)。建立物种敏感性分布(SSD)曲线,确定土壤重金属的阈值(危险浓度,HCp),可以保护5%、50%和95%的地方水稻品种。研究结果表明,研究区水稻产区的配置基本符合水稻生产的需要。APCA-MLR模型结果表明,矿区及相关工业活动、自然活动和农业活动对重金属积累的贡献率分别为37.4%、30%和32.6%。本研究结果有助于深入了解水稻土重金属污染对当地居民健康和农业生态系统的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Probabilistic risk assessment and source identification of heavy metals in soil-rice systems in northern area of Fujian Province, China

Probabilistic risk assessment and source identification of heavy metals in soil-rice systems in northern area of Fujian Province, China
In this study, the ecological-human health risks and sources of heavy metals in paddy soils in the northern area of Fujian Province were investigated. The innovative ecological and health indicators that were evaluated in a probabilistic form were utilized rather than the traditional quotient form to make the results more accurate. By considering the bioaccessibility (BA) of heavy metals when calculating the hazard index (HI) for non-carcinogenic risks and total carcinogenic risk (TCR) for carcinogenic risk, the health risks caused by the ingestion of rice grains were significant. The HI and TCR values for both children and adults exceeded the standard values. In the meantime, the health risks of heavy metals in soils were not as high as expected. The geochemical baseline value (GBV) of Cd (0.087 mg/kg) was higher than the background concentration value (BCV) (0.054 mg/kg). The species sensitivity distribution (SSD) curves were built to determine the threshold values (hazardous concentration, HCp) of soil heavy metals that can protect 5 %, 50 %, and 95 % of local rice varieties. The results showed that the allocation of rice production areas in the study site appeared to be largely in accordance with the needs of rice production. The outcomes of the APCA-MLR model indicated that the main sources included mining and associated industrial activities, natural sources, and agricultural activities, with a total contribution rate of 37.4 %, 30 %, and 32.6 % to the accumulation of heavy metals, respectively. The findings of this study contribute to the deeper understanding of the impact of heavy metal pollution in paddy soils on the health of local people and agroecosystems.
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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