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水稻、小麦籽粒砷、镉、铅富集系数分布特征及规律
  • ISSN号:0250-3301
  • 期刊名称:《环境科学》
  • 时间:0
  • 分类:X171.5[环境科学与工程—环境科学]
  • 作者机构:[1]中国科学院南京土壤研究所土壤环境与污染修复重点实验室,南京210008, [2]环境保护部南京环境科学研究所,南京210042, [3]中国科学院研究生院,北京100049
  • 相关基金:国家自然科学基金重点项目(40432005);中国科学院知识创新工程重要方向项目(CXTD-Z2005-4);国家科技支撑计划项目(2007BAC16806)
中文摘要:

收集现有文献资料,统计土壤、稻米/小麦籽粒As、Cd、Pb含量的污染数据,将数据分为污染调查数据和添加盐作物栽培试验两类,分别计算其作物富集系数(PUF),并对PUF的分布特征及规律进行分析和总结.结果表明,污染调查数据计算稻米对As、Cd、Pb的PUF中值和全距分别为:0.026(0.004—0.090)、0.150(0.014—1.470)、0.005(0.001—0.031);添加盐试验数据计算稻米对As、cd、Ph的PUF中值和全距分别为:0.010(0.003~0.033)、0.360(0.056—1.700)、0.002(0.001—0.019).污染调查数据计算小麦籽粒对As、cd、Pb的PUF中值和全距分别为0.010(0.001—0.110)、0.190(0.030—2.110)、0.017(0.001~0.075);添加盐试验数据计算小麦籽粒对As、cd、Pb的PUF中值和全距分别为:0.010(0.003~0.028)、0.150(0.055~0.730)、0.001(0.001—0.014).添加盐试验数据与污染调查数据得出的PUF跨幅有明显差异.PUF数值受土壤污染程度、环境条件及作物本身特性等因素的多重影响而不易精准预测,但ln(PUF)符合Gaussian概率分布(R^2在0.38~0.94之间).PUF概率模型用于一般风险评估及土壤环境基准制定的保守风险概率计算的条件是,目标污染场地污染程度等参数取值必须在PUF概率模型推导时对应参数取值范围以内,且土壤基本性质及作物生长的环境条件较为一致.

英文摘要:

The statistical characteristics of plant uptake factor (PUF) of As, Cd and Pb for rice/wheat cereal were analyzed and summarized based on collected data in China. The data were selected and distinguished between field investigation and glasshouse experiment in which metal salts were added to clean soils as grown media. Results showed that the PUF median and range of As, Cd and Pb for rice cereal were 0.026 (0.004-0.090), 0.150 (0.014-1.470), 0.005 (0.001-0.031) and 0.010 (0.003-0.033), 0. 360 (0. 056-1. 700), 0. 002 (0. 001-0. 019) for field investigation and salt added experiment respectively. The PUF median and range of As, Cd and Pb for wheat cereal were 0.010 (0.001-0. 110), 0, 190 (0.030-2. 110), 0.017(0.001-0.075) and 0.010 (0. 003-0. 028) , 0. 150 (0. 055-0. 730) , 0. 001 (0. 001-0. 014) for field investigation and salt added experiment respectively. Significant PUF distribution differences were found between field investigation and salt added experiment. PUF provided not exactly predictive ability of metal uptake by crops since the PUF values were influenced by a variety of factors including the soil contamination levels, basic soils characteristics, the cultivation of the crops and other environmental conditions. However, the In(PUF) followed Gaussian distribution (R^2 = 0. 38 - 0. 94) which is useful for general risk assessment and soil benchmark derivation of contaminated croplands. Use of these statistical models is restricted to the range of data they have been derived, as extrapolation outside this range is often unreliable. Soil properties and surrounding environment of the crops should also be in accordance with the conditions PUF derived.

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期刊信息
  • 《环境科学》
  • 中国科技核心期刊
  • 主管单位:中国科学院
  • 主办单位:中国科学院生态环境研究中心
  • 主编:赵进才
  • 地址:北京市2871信箱(海淀区双清路18号)
  • 邮编:100085
  • 邮箱:hjkx@rcees.ac.cn
  • 电话:010-62941102 62849343
  • 国际标准刊号:ISSN:0250-3301
  • 国内统一刊号:ISSN:11-1895/X
  • 邮发代号:2-821
  • 获奖情况:
  • 在全国第一届和第二届优秀科技期刊评比中分别荣获...,二次荣获中国科学院优秀期刊评比一等奖,荣获中国期刊方阵双奖期刊荣誉
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘(网络版),荷兰文摘与引文数据库,美国工程索引,美国生物医学检索系统,美国剑桥科学文摘,美国生物科学数据库,英国动物学记录,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),中国北大核心期刊(2000版)
  • 被引量:69962