Hariram Manisha, Sahu Ravi, Elumalai Suresh Pandian
Department of Environmental Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand, 826004, India.
Arch Environ Contam Toxicol. 2018 Jan;74(1):56-70. doi: 10.1007/s00244-017-0446-1. Epub 2017 Sep 6.
Plant species grown in the vicinity of thermal power plants (TPP) are one of the immobile substrates to sink most of the pollutants emitted from their stacks. The continuous exposure of toxic pollutants to these plants may affect their resistances and essential biochemical's concentrations. In the present study, we estimated the impact of dust load generated by a TPPs to plant's dust retention capacity and pollution resistances (APTI and API). The observed ambient air quality index (AQI) showed that the surroundings of TPPs are in the severe air pollution category. Observed AQI was greater than 100 in the surrounding area of TPP. The mean dust load on plant foliage was significantly greater in the polluted site compared with the control site: 4.45 ± 1.96 versus 1.38 ± 0.41 mg cm. Nearby, TPP highest and lowest dust load were founded in F. benghalensis (7.58 ± 0.74) and F. religiosa (2.25 ± 0.12 mg cm) respectively. Analysis revealed the strong negative correlation between dust load and essential pigments of foliage, such as chlorophyll content, carotenoids, pH of foliage extract, and relative water content. Conversely, strong positive correlation was observed with the ascorbic acid content of plant species. Correlation and percentage change analysis in ascorbic acid content for the polluted site against the control site showed the adverse impact on plants due to dust load. Based on their responses to dust pollution, A. scholaris, P. longifolia, and M. indica were observed as most suitable plant species. Estimation of DRC, chlorophyll a/b ratio, APTI and API revealed the A. scholaris, F. benghalensis, P. longifolia, and M. indica as the most suitable plant species for green belt formation. The high gradation was obtained in A. scholaris, F. benghalensis, P. longifolia, and M. indica for opted parameters and showed their most suitability for green belt formation. Salient features of the present study provide useful evidences to estimate the combined effect of DRC and pollution resistances of plant species on green belt establishment for long-term environmental management around industries.
生长在火力发电厂(TPP)附近的植物物种是吸收其烟囱排放的大部分污染物的固定基质之一。有毒污染物持续作用于这些植物可能会影响它们的抗性和重要生化物质的浓度。在本研究中,我们评估了火力发电厂产生的粉尘负荷对植物粉尘滞留能力和抗污染能力(APTI和API)的影响。观测到的环境空气质量指数(AQI)表明,火力发电厂周围属于严重空气污染类别。在火力发电厂周边地区观测到的AQI大于100。与对照地点相比,污染地点植物叶片上的平均粉尘负荷显著更高:分别为4.45±1.96毫克/平方厘米和1.38±0.41毫克/平方厘米。附近,在孟加拉榕(7.58±0.74)和菩提树(2.25±0.12毫克/平方厘米)上分别发现了火力发电厂附近最高和最低的粉尘负荷。分析表明,粉尘负荷与叶片的重要色素(如叶绿素含量、类胡萝卜素、叶片提取物的pH值和相对含水量)之间存在强烈的负相关。相反,在植物物种的抗坏血酸含量方面观察到强烈的正相关。污染地点与对照地点抗坏血酸含量的相关性和百分比变化分析表明,粉尘负荷对植物有不利影响。基于它们对粉尘污染的反应,发现印楝、长叶松和印度楝是最合适的植物物种。对粉尘滞留能力(DRC)、叶绿素a/b比值、APTI和API的评估表明,印楝、孟加拉榕、长叶松和印度楝是最适合形成绿化带的植物物种。印楝、孟加拉榕、长叶松和印度楝在所选择的参数方面获得了高分,表明它们最适合形成绿化带。本研究的显著特征为评估植物物种的粉尘滞留能力和抗污染能力对工业周边长期环境管理中绿化带建设的综合影响提供了有用的证据。