Suppr超能文献

基于农产品安全的土壤中重金属有效浓度阈值推导

[Derivation of the Thresholds of Available Concentrations of Heavy Metals in Soil Based on Agricultural Product Safety].

作者信息

Zhang Yun-Hui, Du Ping, He Ying, Zhong Xiao-Fei, Luo Hui-Long, Qin Xiao-Peng, Xu Gang

机构信息

Chinese Research Academy of Environmental Sciences, Beijing 100012, China.

School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China.

出版信息

Huan Jing Ke Xue. 2019 Sep 8;40(9):4262-4269. doi: 10.13227/j.hjkx.201901196.

Abstract

Based on the total and available concentrations of heavy metal elements in agricultural soil, and the concentrations of heavy metals in rice collected from Daye city, Hubei province, and the thresholds of available concentrations of heavy metals were derived by species sensitivity distribution (SSD). The over-standard rates of Cd and Cu in the soil were 90.7% and 42.6%, respectively, which indicates that agricultural soil in Daye city exhibits signs of Cd and Cu pollution. The rates of Cd and Pb were 50.9% and 89.8% in brown rice samples, respectively, which exceeds the safety standards of agricultural products. The SSD curves for Cd and Pb were fitted with BurrⅢ distribution based on the ratio of the concentration in brown rice and the available concentration in the soil. The hazardous concentrations (HC) were derived inversely from the agriculture product safety standards. The thresholds of available Cd and Pb were 0.02 mg·kg and 0.005 mg·kg, respectively. Compared with those of available Cd in other countries and studies, the threshold of available Cd is scientifically shown to be reasonable. Soil is not necessarily the main source of Pb in rice; thus, the rice species does not represent the derivation of the threshold of available Pb. Moreover, a lack of the accumulation data of Pb at low accumulation levels and multiple soil pollution levels leads to unreliable derivation. The results indicate that the threshold of available Pb does not have practical significance in soil pollution control.

摘要

基于农业土壤中重金属元素的总量和有效含量,以及从湖北省大冶市采集的水稻中的重金属含量,通过物种敏感性分布(SSD)得出重金属有效含量的阈值。土壤中镉和铜的超标率分别为90.7%和42.6%,这表明大冶市的农业土壤存在镉和铜污染迹象。糙米样品中镉和铅的超标率分别为50.9%和89.8%,超过了农产品安全标准。基于糙米中浓度与土壤中有效浓度的比值,镉和铅的SSD曲线采用BurrⅢ分布拟合。危险浓度(HC)由农产品安全标准反向推导得出。有效镉和铅的阈值分别为0.02 mg·kg和0.005 mg·kg。与其他国家和研究中的有效镉阈值相比,有效镉阈值经科学验证是合理的。土壤不一定是水稻中铅的主要来源;因此,水稻品种不能代表有效铅阈值的推导依据。此外,缺乏低积累水平和多种土壤污染水平下铅的积累数据导致推导不可靠。结果表明,有效铅阈值在土壤污染控制中没有实际意义。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验