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铁兰的结构及其作为重金属生物监测器在空气污染评估研究中的应用
  • ISSN号:1001-7011
  • 期刊名称:《黑龙江大学自然科学学报》
  • 时间:0
  • 分类:X51[环境科学与工程—环境工程] X17[环境科学与工程—环境科学]
  • 作者机构:[1]哈尔滨工业大学化工学院,哈尔滨150001
  • 相关基金:Supported by the National Nature Science Foundation of China (51073047 ;91076015 )
中文摘要:

铁兰是一种不从土壤汲取养分的气生植物,在很多国家被用于空气污染的监测研究。虽然铁兰作为生物监测被广泛报道,但却很少有关于铁兰自身结构与其作为生物监测器间相关性的研究。由于它们从降水中吸收水分、养料以及大气污染物,因此,通过检测其组织中累积的重金属即可判断空气的主要污染源。为了进行环境监测,常需要依据土地使用类型、人类活动范围以及距离重金属源的距离进行分类采样,并且要区分农业、城镇、工业交通区域,铁兰因其广泛的生长适应性、低廉的成本、可长期在不同区域生长并易于采样,被许多研究者认为是环境污染监测中重金属富集的理想植物。

英文摘要:

Tillandsia is a kind of soilless plant also known as air plants that their roots don' t absorb the nutrients into the plant. These plants were selected to carry out a monitoring study of air pollution in many countries. These plants absorb water and nutrients from the atmosphere and their hosts through pre- cipitation and dry deposition. They accumulate pollutants that can be detected in their tissue by monito- ring. Heavy metals accumulation by Tillandsia was measured to identify the main emission source of pol-lutants. For this purpose, the sampling sites were categorized on the basis of land use patterns, human activities and distance from the emission source of heavy metals. The area was categorized into rural-agri- cultural, urban, industrial and vehicular-traffic. Tillandsia is an ideal plant to use in this type of study because they can grow in different climates. Due to this flexibility and special characteristic, many re-searchers conclude that Tillandsia is an efficient metal accumulator in passive biomonitoring studies. U- sing Tillandsia in the determination of environment pollution as a biomonitor has several advantages such as low cost, easy sampling and the possibility of different sites monitoring over a long period of time.

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期刊信息
  • 《黑龙江大学自然科学学报》
  • 北大核心期刊(2011版)
  • 主管单位:黑龙江省教育厅
  • 主办单位:黑龙江大学
  • 主编:霍丽华
  • 地址:哈尔滨市学府路74号
  • 邮编:150080
  • 邮箱:hdxb@vip.sohu.com
  • 电话:0451-86608818
  • 国际标准刊号:ISSN:1001-7011
  • 国内统一刊号:ISSN:23-1181/N
  • 邮发代号:14-114
  • 获奖情况:
  • 国内外数据库收录:
  • 美国化学文摘(网络版),美国数学评论(网络版),德国数学文摘,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)
  • 被引量:4204