Pollen germination significantly affected by SO2, NOx, PM10 and AQI in the Amravati City of Maharashtra, India

被引:1
|
作者
Ugale, Chetna [1 ,2 ]
Tidke, Jaykiran A. [2 ]
Korekar, Girish [3 ]
机构
[1] Indira Mahavidyalaya Kalamb, Dept Bot, Yavatmal 445401, Maharashtra, India
[2] St Gadge Baba Amravati Univ, Dept Bot, Campus Area,Near Tapovan Gate, Amravati 444602, Maharashtra, India
[3] Chetnagiri Biotech, House 64,Near Samaj Bhawan, Bhandara 441802, Maharashtra, India
关键词
Air pollution; Pollen viability; Pollen germination; Amravati; URBAN AIR-POLLUTION; OSTRYA CARPINIFOLIA; NITROGEN-DIOXIDE; BETULA-PENDULA; VIABILITY; GRAINS; POLLUTANTS; AMBIENT; ALLERGENICITY; PROTEINS;
D O I
10.1007/s10453-023-09785-8
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Amravati is a developing urban area of Maharashtra state in Central India, with the growth, of urbanization there is an increase in traffic load and pollution. In the present investigation, we examine the effect of vehicular pollution (SO2, NOx PM10, and AQI) on pollen germination. Based on the traffic load we have distinguished three major areas, a no-traffic area (Site A), a heavy traffic area (Site B), and a moderate traffic area (Site C) from Amravati city of Central India. From all three sites, pollen and pistils of Catharanthus roseus, Martinia annua, and Tridax procumbens were collected and examined for pollen viability. We found a significant variation in pollen viability between the no-traffic area and heavy traffic area in all three studied plant species. This suggests that pollen viability is significantly affected by the traffic load of the city irrespective of particular species. The correlation analysis confirmed pollen viability is negatively impacted by air pollutants, we found that higher polluted area have significantly lower amounts of pollen viability. The present study reveals that all studied plant species pollen shows sensitivity to the pollutant concentration and is affected by pollution. Further study needs to investigate any changes that occurred at a cellular and genetic level.
引用
收藏
页码:67 / 77
页数:11
相关论文
共 45 条
  • [1] Influence of atmospheric PM2.5, PM10, O3, CO, NO2, SO2, and meteorological factors on the concentration of airborne pollen in Guangzhou, China
    Rahman, Ananna
    Luo, Chuanxiu
    Khan, Md Hafijur Rahaman
    Ke, Jinzhao
    Thilakanayaka, Vidusanka
    Kumar, Sazal
    ATMOSPHERIC ENVIRONMENT, 2019, 212 : 290 - 304
  • [2] Evaluation of Air Pollution by NO2, SO2, PM10 in Bucharest
    Rusanescu, Carmen Otilia
    Jinescu, Cosmin
    Rusanescu, Marin
    Begea, Mihaela
    Ghermec, Olimpia
    REVISTA DE CHIMIE, 2018, 69 (01): : 105 - 111
  • [3] Past and recent changes in the pollution characteristics of PM10 and SO2 in the largest industrial city in South Korea
    Lee, Sang-Jin
    Song, Chang-Keun
    Choi, Sung-Deuk
    ATMOSPHERIC ENVIRONMENT, 2024, 319
  • [4] Trends and Source Contribution Characteristics of SO2, NOX, PM10 and PM2.5 Emissions in Sichuan Province from 2013 to 2017
    He, Min
    Chen, Junhui
    He, Yuming
    Li, Yuan
    Long, Qichao
    Qiao, Yuhong
    Zhang, Kaishan
    ATMOSPHERE, 2021, 12 (02)
  • [5] A novel hybrid forecasting model for PM10 and SO2 daily concentrations
    Wang, Ping
    Liu, Yong
    Qin, Zuodong
    Zhang, Guisheng
    SCIENCE OF THE TOTAL ENVIRONMENT, 2015, 505 : 1202 - 1212
  • [6] A Land Use Regression Model to Estimate Ambient Concentrations of PM10 and SO2 in Izmit, Turkey
    Yucer, Emre
    Erener, Arzu
    Sarp, Gulcan
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2023, 51 (06) : 1329 - 1341
  • [7] Emission trends and source characteristics of SO2, NOx, PM10 and VOCs in the Pearl River Delta region from 2000 to 2009
    Lu, Qing
    Zheng, Junyu
    Ye, Siqi
    Shen, Xingling
    Yuan, Zibing
    Yin, Shasha
    ATMOSPHERIC ENVIRONMENT, 2013, 76 : 11 - 20
  • [8] A New Approach to Prediction of SO2 and PM10 Concentrations in Istanbul, Turkey: Cellular Neural Network (CNN)
    Sahin, Ulku Alver
    Ucan, Osman Nuri
    Bayat, Cuma
    Tolluoglu, Orhan
    ENVIRONMENTAL FORENSICS, 2011, 12 (03) : 253 - 269
  • [9] Comparison of PMtotal, PM10, PM2.5, NOx, and SO2 Emission Factors from Coal-fired Power Plants per Load Change
    Yu, JeongHun
    Song, Jihan
    Lee, DoYoung
    Yu, MyeongSang
    Jung, JongHan
    Chun, Sung-Nam
    Lee, GaYoung
    Kim, JongHo
    ASIAN JOURNAL OF ATMOSPHERIC ENVIRONMENT, 2021, 15 (03)
  • [10] MULTIPLE LINEAR REGRESSION AND INVERSE DISTANCE WEIGHT (IDW) INTERPOLATION FOR SPATIAL ANALYSIS OF PM10 AND SO2 IN BURSA CITY, TURKEY
    Dursun, Sukru
    Alqaysi, Nahida Hameed Hamza
    INTERNATIONAL JOURNAL OF ECOSYSTEMS AND ECOLOGY SCIENCE-IJEES, 2018, 8 (02): : 213 - 220