scholarly journals Accumulation of three different sizes of particulate matter on plant leaf surfaces: Effect on leaf traits

2015 ◽  
Vol 67 (4) ◽  
pp. 1257-1267 ◽  
Author(s):  
Xiaoping Chen ◽  
Zhixiang Zhou ◽  
Mingjun Teng ◽  
Pengcheng Wang ◽  
Lin Zhou
Keyword(s):  
Particulate Matter ◽  
Leaf Traits ◽  
Field Investigation ◽  
Control Site ◽  
Total Chlorophyll ◽  
Plant Leaves ◽  
Obvious Effect ◽  
Plant Leaf ◽  
Chl A ◽  
Leaf Surfaces

Plants not only improve air quality by adsorbing particulate matter (PM) on leaf surfaces but can also be affected by their accumulation. In this study, a field investigation was performed in Wuhan, China, into the relationship between seven leaf traits and the accumulation of three different sizes of PM (PM11, PM2.5 and PM0.2) on leaves. The retention abilities of plant leaves with respect to the three sizes of PM differed significantly at different sites and species. The average PM retention capabilities of plant leaves and specific leaf area (SLA) were significantly greater in a seriously polluted area, whereas the average values of chlorophyll a (Chl a), chlorophyll b (Chl b), total chlorophyll, carotenoid, pH and relative water content (RWC) were greater at the control site. SLA significantly positively correlated with the size of PM, but Chl a, Chl b, total chlorophyll, RWC significantly negatively correlated with the size of PM, whereas the pH did not correlate significantly with the the PM fractions. Additionally, SLA was found to be affected by large particles (PM11, p<0.01); PM2.5 had a more obvious effect on plant leaf traits than the other PM (p<0.05). Overall, the findings from this study provide useful information regarding the selection of plants to reduce atmospheric pollution.

scholarly journals Bottom-Up Emission Inventory and Its Spatio-Temporal Distribution from Paved Road Dust Based on Field Investigation: A Case Study of Harbin, Northeast China

Atmosphere ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 449
Author(s):  
Lili Li ◽  
Kun Wang ◽  
Zhijian Sun ◽  
Weiye Wang ◽  
Qingliang Zhao ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Emission Inventory ◽  
Road Dust ◽  
Field Investigation ◽  
Pollutant Emissions ◽  
County Level ◽  
Bottom Up ◽  
Spatial Allocation ◽  
Paved Road

Road dust is one of the primary sources of particulate matter which has implications for air quality, climate and health. With the aim of characterizing the emissions, in this study, a bottom-up approach of county level emission inventory from paved road dust based on field investigation was developed. An inventory of high-resolution paved road dust (PRD) emissions by monthly and spatial allocation at 1 km × 1 km resolution in Harbin in 2016 was compiled using accessible county level, seasonal data and local parameters based on field investigation to increase temporal-spatial resolution. The results demonstrated the total PRD emissions of TSP, PM10, and PM2.5 in Harbin were 270,207 t, 54,597 t, 14,059 t, respectively. The temporal variation trends of pollutant emissions from PRD was consistent with the characteristics of precipitation, with lower emissions in winter and summer, and higher emissions in spring and autumn. The spatial allocation of emissions has a strong association with Harbin’s road network, mainly concentrating in the central urban area compared to the surrounding counties. Through scenario analysis, positive control measures were essential and effective for PRD pollution. The inventory developed in this study reflected the level of fugitive dust on paved road in Harbin, and it could reduce particulate matter pollution with the development of mitigation strategies and could comply with air quality modelling requirements, especially in the frigid region of northeastern China.

scholarly journals Selenium supply affects chlorophyll concentration and biomass production of maize (Zea mays L.)

2018 ◽  
Vol 69 (4) ◽  
pp. 249-255
Author(s):  
Aliu Sali ◽  
Dukagjin Zeka ◽  
Shukri Fetahu ◽  
Imer Rusinovci ◽  
Hans-Peter Kaul
Keyword(s):  
Biomass Production ◽  
Root Biomass ◽  
Zea Mays L ◽  
Chlorophyll Concentration ◽  
Total Chlorophyll ◽  
Chl A ◽  
Maize Population ◽  
Maize Genotypes ◽  
Positive Effect ◽  
Shoot And Root Biomass

Summary The objective of this work was to investigate the effect of selenium (Se) on the biomass production and the contents of photosynthetically active pigments. The pot experiment included two maize genotypes: hybrid 408BC originating from Croatia and a local maize population from Kosovo. The doses of Se applied were 0, 1.30, 6.57, 13, and 26 mg kg−1. The lowest Se dose (1.30 mg Se kg−1) had a positive effect on shoot and root biomass production as well as on the contents of chlorophyll b (Chl-b), total chlorophyll, and carotenoids (just for the hybrid). Chlorophyll a (Chl-a) was reduced with increasing Se doses, whereas chlorophyll b (Chl-b) and total chlorophyll further increased with medium Se doses. The highest Se dose strongly reduced biomass and the contents of photosynthetically active pigments. Chl-a and carotenoids positively correlated with shoot (for both genotypes) and root (for the hybrid) biomass, whereas no correlation was observed between Chl-b and biomass. Low amounts of Se application are favorable for biomass production and chlorophyll and carotenoids contents, whereas high amounts of Se application negatively affect both.

scholarly journals STUDY OF IMPACT OF AIR POLLUTION ON PLANTS BY ESTIMATION OF APTI OF CERTAIN TREES IN KATRAJ AREA IN PUNE CITY

2020 ◽  
pp. 39-43
Author(s):  
Erum F H Kazi ◽  
Dr. Satish Kulkarni
Keyword(s):  
Air Pollution ◽  
Ascorbic Acid ◽  
Particulate Matter ◽  
Water Content ◽  
Relative Water Content ◽  
Air Pollutants ◽  
Total Chlorophyll ◽  
Mango Tree ◽  
Relative Water ◽  
Leaf Relative Water Content

Air pollution is one of major concerns in Pune City currently. Study highlights increase in Particulate matter from Vehicular sources & Urbanization in Karaj area is having harmful impact on the trees in the area. Leaf of Plant species such as Peepal( Ficusreligiosa),, Tamarind(Tamarindusindica), Rain tree( Samaneasaman), Ashoka( Saracaasoca), Manago( Mangiferaindica), Almond( Terminaliacatappa) , Banyan tree(Ficusbenghalensis) were selected and it was found that Ashoka( Saracaasoca), Mango tree( Mangiferaindica) showed Intermediate APTI whereas Peepal, Tamarind, Rain tree, Almond, Banyan tree were found to be Sensitive to pollution. KEYWORDS: Air Pollutants, APTI of plants, Total Chlorophyll, Ascorbic acid, p H of leaf, Relative water Content ( RWC)

Soft-Computing-Based Approaches for Plant Leaf Disease Detection

2019 ◽  
pp. 100-113
Author(s):  
Vivek K. Verma ◽  
Tarun Jain
Keyword(s):  
Image Processing ◽  
Leaf Area ◽  
Soft Computing ◽  
Environmental Conditions ◽  
The Other ◽  
Disease Detection ◽  
Plant Leaves ◽  
Plant Leaf ◽  
Disease Occurrence ◽  
Plant Image

The disease occurrence phenomena in plants are season-based which is dependent on the presence of the pathogen, crops, environmental conditions, and varieties grown. Some plant varieties are particularly subject to outbreaks of diseases; on the other hand, some are opposite to them. Huge numbers of diseases are seen on the plant leaves and stems. Diseases management is a challenging task. Generally, diseases are seen on the leaves or stems of the plant. Image processing is the best way for the detection of plant leaf diseases. Different kinds of diseases occur because of the attack of bacteria, fungi, and viruses. The monitoring of leaf area is an important tool in studying physiological capabilities associated with plant boom. Plant disorder is usually an unusual growth or dysfunction of a plant. Sometimes diseases damage the leaves of plants.

Sign in / Sign up

Export Citation Format

Share Document