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福建沿海地区土壤-稻谷重金属含量关系与影响因素研究
引用本文:王腾云,周国华,孙彬彬,贺灵,曾道明,陈亚东,叶荣.福建沿海地区土壤-稻谷重金属含量关系与影响因素研究[J].岩矿测试,2016,35(3):295-301.
作者姓名:王腾云  周国华  孙彬彬  贺灵  曾道明  陈亚东  叶荣
作者单位:中国地质大学(北京)地球科学与资源学院, 北京 100083;中国地质科学院地球物理地球化学勘查研究所应用地球化学开放实验室, 河北 廊坊 065000,中国地质科学院地球物理地球化学勘查研究所应用地球化学开放实验室, 河北 廊坊 065000,中国地质科学院地球物理地球化学勘查研究所应用地球化学开放实验室, 河北 廊坊 065000,中国地质科学院地球物理地球化学勘查研究所应用地球化学开放实验室, 河北 廊坊 065000,中国地质科学院地球物理地球化学勘查研究所应用地球化学开放实验室, 河北 廊坊 065000,中国地质大学(北京)地球科学与资源学院, 北京 100083;中国地质科学院地球物理地球化学勘查研究所应用地球化学开放实验室, 河北 廊坊 065000,中国地质大学(北京)地球科学与资源学院, 北京 100083
基金项目:国土资源部公益性行业科研专项经费项目《典型红壤区农业生态地质研究》课题二"典型地质环境区红壤化过程地球化学特征研究"(201411091-2)资助
摘    要:福建沿海地区土壤Pb含量远高于我国其他地区及全国背景值,其对农产品安全、生态环境的影响值得关注。本文采集该地区典型耕作区58套土壤-水稻样品,查明Pb、Cd等重金属元素含量特征及其关键控制因素。研究表明从水稻根→茎叶→稻谷,重金属元素含量和富集系数呈现明显的下降趋势,有害重金属As、Pb等的递减速率远大于植物营养元素Cu、Zn,指示水稻根部对重金属元素具有一定的阻截作用。土壤-稻谷间Pb具有显著正相关性,显示土壤Pb是稻谷Pb的重要来源;稻谷Pb含量与土壤有机碳呈显著负相关关系,与土壤pH呈弱负相关关系,说明富含有机碳、相对碱性的土壤环境可降低土壤Pb的生物有效性,减少稻谷对土壤Pb的吸收富集。土壤理化条件对稻谷Cd富集系数有显著影响,富含有机碳、Al2O3、Fe2O3、CaO、MgO、S的土壤条件有利于阻断稻谷对土壤Cd的吸收,降低土壤Cd污染的生态风险。本项研究为开展水田土壤重金属污染治理修复、预测稻谷食用安全提供了重要的依据。

关 键 词:水稻  土壤  重金属含量  富集系数  影响因素  福建沿海地区
收稿时间:8/8/2015 12:00:00 AM
修稿时间:5/4/2016 12:00:00 AM

The Relationship between Heavy Metal Contents of Soils and Rice in Coastal Areas, Fujian Province, including Influencing Factors
WANG Teng-yun,ZHOU Guo-hu,SUN Bin-bin,HE Ling,ZENG Dao-ming,CHEN Ya-dong and YE Rong.The Relationship between Heavy Metal Contents of Soils and Rice in Coastal Areas, Fujian Province, including Influencing Factors[J].Rock and Mineral Analysis,2016,35(3):295-301.
Authors:WANG Teng-yun  ZHOU Guo-hu  SUN Bin-bin  HE Ling  ZENG Dao-ming  CHEN Ya-dong and YE Rong
Institution:School of Earth Science and Resources, China University of Geoscience(Beijing), Beijing 100083, China;Institute of Geophysical and Geochemical Exploration, Laboratory for Applied Geochemistry, Langfang 065000, China,Institute of Geophysical and Geochemical Exploration, Laboratory for Applied Geochemistry, Langfang 065000, China,Institute of Geophysical and Geochemical Exploration, Laboratory for Applied Geochemistry, Langfang 065000, China,Institute of Geophysical and Geochemical Exploration, Laboratory for Applied Geochemistry, Langfang 065000, China,Institute of Geophysical and Geochemical Exploration, Laboratory for Applied Geochemistry, Langfang 065000, China,School of Earth Science and Resources, China University of Geoscience(Beijing), Beijing 100083, China;Institute of Geophysical and Geochemical Exploration, Laboratory for Applied Geochemistry, Langfang 065000, China and School of Earth Science and Resources, China University of Geoscience(Beijing), Beijing 100083, China
Abstract:The lead content in soil in coastal areas of Fujian Province is higher than background value of China. So there is potential risk for food safety. Based on 58 suites of soil and rice analytical data, we found the significance of the lead and cadmium contents and their critical influencing factors. The research shows that the concentrations and BCF values of heavy metals decrease rapidly from root to stem leaf to rice and the descending speed of toxic element like arsenic and lead is faster than plant nutrient like copper and zinc, meaning rice root has barrier effect for toxic element uptake. Lead content in rice is significant positively related with lead content in soil. This means that soil lead is the main source of lead in rice. Lead content in rice is negative related with organic carbon contents, and weakly negative related with pH of soil. This means that abundant of organic carbon and neutral-alkaline soil condition may reduce bioavailability of lead in soils. The Bio-concentration factor of cadmium has good relation with soil physicochemical conditions. The relationship indicate that relative abundance of organic carbon, Al2O3, Fe2O3, CaO, MgO and S can hinder the uptake of cadmium by rice and reduce its eco-risk. This research provides the foundation for restoring paddy field polluted by heavy metal and predicting the impact of soil heavy metal pollution upon the safety of rice.
Keywords:rice  soil  heavy metal content  BCF  influencing factors  coastal areas in Fujian Province
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