• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Pollution research >ASSESSMENT OF THE AIR POLLUTION TOLERANCE INDEX AND ANTICIPArED PERFORMANCE INDEX OF COMMONLY GROWING PLANT SPECIES ALONG THE NATIONAL HIGHWAY (NH-7) IN NAHAN TO PAONTA SAHIB STRETCH IN HIMACHAL PRADESH, INDIA
【24h】

ASSESSMENT OF THE AIR POLLUTION TOLERANCE INDEX AND ANTICIPArED PERFORMANCE INDEX OF COMMONLY GROWING PLANT SPECIES ALONG THE NATIONAL HIGHWAY (NH-7) IN NAHAN TO PAONTA SAHIB STRETCH IN HIMACHAL PRADESH, INDIA

机译：印度汉马河省纳汉至潘塔·萨希尔布伸展带国家公路（NH-7）沿线常见植物的耐空气污染指数和测得的性能指标评估

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Plants are universal sink of CO_2. Plantation of species along National Highways helps to trap air polluting dust and CO_2. Plants are also negatively affected by the dust and gaseous emission from vehicles. The effectiveness of plant species as bioindicator/ biomonitors depends on appropriate selection based on their tolerance and sensitivity to air pollution which is usually evaluated by the Air Pollution Tolerance Index (APTI). In the present study, the APTI of four roadside plant species namely Ficus roxburghii, Mallotus philippensis, Shorea robusta, Woodfordia fruticosa has been evaluated. The Anticipated Performance Index (API) of these plant species was also calculated by considering their APTI values with biological and socio-economic characters (plant height, canopy structure, type of plant, laminar characteristics, texture, hardiness and economic value). The API indicated that Shorea robusta (API=7) is best performer in green belt development. The study revealed that APTI and API determination provides a reliable method for the selection of appropriate species which can be used as bioindicators and mitigators of air pollutants.
机译：植物是CO_2的通用汇。国家公路沿线的物种种植有助于捕获污染空气的灰尘和CO_2。车辆的粉尘和气体排放还会对植物造成负面影响。植物物种作为生物指示剂/生物监测器的有效性取决于基于其对空气污染的耐受性和敏感性的适当选择，通常通过空气污染耐受指数（APTI）对其进行评估。在本研究中，已经评估了路旁榕，榕树，Shore树，浓香树，金边伍德福德四种路边植物的APTI。还通过考虑具有生物学和社会经济特征（植物高度，冠层结构，植物类型，层流特性，质地，坚韧性和经济价值）的APTI值，计算了这些植物物种的预期性能指数（API）。该API表明，Shorearobusta（API = 7）在绿化带开发中表现最佳。研究表明，APTI和API的测定为选择合适的物种提供了一种可靠的方法，这些物种可用作空气污染物的生物指标和减缓指标。

著录项

  • 来源
    《Pollution research》 |2017年第1期|99-105|共7页
  • 作者

    JYOTSANA PANDIT; ANISH KUMAR SHARMA; ANIL SOOD; SATISH KUMAR BHARDWAJ;

  • 作者单位

    Department of Environmental Science Dr. Y.S Parmar University of Horticulture and Forestry, Nauni, Solan 173230, H.P., India;

    School of Biotechnology, P.P. Savani Knowledge City, Kosamba, Surat, 394 125, Gujarat, India;

    Department of Environmental Science Dr. Y.S Parmar University of Horticulture and Forestry, Nauni, Solan 173230, H.P., India;

    Department of Environmental Science Dr. Y.S Parmar University of Horticulture and Forestry, Nauni, Solan 173230, H.P., India;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Dust; Gaseous emission; Bio indication; Socio-economic characteristics;

    机译：灰尘;气体排放;生物适应症;社会经济特征;

相似文献

  • 外文文献
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号