scholarly journals Identification of the most tolerant plant species along the Chembur industrial area of Mumbai: a key step to mitigate global air pollution

2020 ◽  
Vol 2 (10) ◽  
Author(s):  
Pravin Uttam Singare ◽  
Smita Nitesh More
Author(s):  
Al-Toukhy Al-Toukhy

Effect of air pollution in the industrial area of Jeddah city, Saudi Arabia on three tree species Camphor (Cinnamomum camphora), Henna (Lawsonia inermis), and Bougainvillea (Bougainvillea spectabilis) has been studied with special reference to characteristics of leaves. These plant species were chosen because they are common and in the industrial and control areas. leaf area, number of stomata, stomata length and width and stomata pore width and length of these plant species were investigated. The results of this study with all trees species showed significant decrease in plant leaf area and stomata number in the industrial zone comparing with the control area. The results of those tree species indicated marked alteration in epidermal traits, with increased stomata length and width and stomata pore width and length collected from industrial site than those from control site. These changes in the leaf area and epidermal traits could be as indicator of environmental stress and can be recommended in the industrial areas for the early detection of air pollution.


2018 ◽  
Vol 24 (1) ◽  
Author(s):  
NEEL RATAN ◽  
MILAN YADAV ◽  
U.N. SINGH

Air pollution tolerance index (APTI) was calculated for various plant species growing in industrial area of Orai. The leaf samples collected from 24 tree species in the industrial area were used to determine their Air Pollution Tolerance Index (APTI) by calculating the ascorbic acid, chlorophyll, pH and relative water contents. The APTI values of less than 16 are reported in 19 species and they can be used as indicators of air pollution. The species Ficus religiosa (24.92), Zizyphus jujuba (21.84), Phyllanthus emblica (17.40), Cassia fistula (17.67) and Tamarindus indica (16.96) showed their moderate response by changing their biochemical contents and were identified as moderately tolerant to air pollution.


2018 ◽  
Vol 17 (3) ◽  
pp. 591-599 ◽  
Author(s):  
Agata Matarazzo ◽  
Maria Teresa Clasadonte ◽  
Carlo Ingrao

2006 ◽  
Vol 154 (2) ◽  
pp. 229-235 ◽  
Author(s):  
V F H Brauer ◽  
H Below ◽  
A Kramer ◽  
D Führer ◽  
R Paschke

Objective: Thiocyanate (SCN−) has concentration dependent antithyroid properties and a role in the etiology of goiter has been suggested in several studies. In 1991 an epidemiological survey conducted in the region of Halle/Leipzig (Saxony), an area with significant air pollution, suggested an inverse relationship between urinary iodine (I−)/SCN− excretion and goiter prevalence. 10 years later, we reinvestigated the same industrial area to clarify if the situation has changed after the elimination of most industrial waste products and moreover, if SCN− excretion levels alone or in combination with air pollution or smoking as a SCN− source are critical for thyroid function. Design and methods: We investigated a cohort of 708 probands for I−, SCN− and creatinine excretion in spot urine samples and determined the prevalence of goiter and thyroid nodules by high resolution ultrasonography. Results: Probands with goiter (n = 79, 11%) had significantly higher urinary SCN− excretions than probands without (3.9 ± 2.8 vs 3.1 ± 3.4 mg SCN−/g creatinine) and significantly lower urinary I−/SCN− ratios than patients without thyroid disorders (41 ± 38 vs 61 ± 71 μg I−/mg SCN−/l). Mean urinary I− excretions were not different between probands with or without goiter. Smokers showed significantly elevated urinary SCN−/creatinine ratios in comparison to non-smokers (4.3 ± 4.3 vs 2.4 ± 2.1 mg SCN−/g creatinine). ANOVA revealed a prediction of thyroid volume through age (P < 0.001), gender (P < 0.001), body weight (P < 0.05) and smoking (P < 0.05). Conclusions: In our investigation, age, gender and smoking (raising SCN− levels by CN− inhalation) were predictive for thyroid volume and the urinary I−/SCN− ratios were able to detect probands with an increased risk of developing goiter in contrast to urinary I− excretion levels alone. These data suggest, that in an era and area of decreased cyanide pollution, SCN− may remain a cofactor in the multifactorial aetiology of goiter.


Author(s):  
Jiban Jyoti Das

Industrialization is an important aspect of a growing economy. However, rapid industrialization has caused many serious impacts on the environment. One such impact is the deteriorating air quality, especially around industries. It is said that afforestation is the best and simplest way for improving the air quality. Also, trees and plants have been increasingly used as filters for dust particles around the home, traffic roads, etc. In scientific studies, it has also been found that trees and plant leaves can be used to assess the ambient air quality by an index called the Air pollution tolerance index. A literature search has been done on the scientific database like Sciencedirect and Researchgate to review the existing knowledge of Air pollution tolerance index and to find the tolerant and sensitive species based on it so that these species can be selectively planted to assess the ambient air quality and also to develop a better green belt around refineries and industries in Assam. The study has reviewed the linkage of the impact of air pollution on leaves of plants and trees through scientific evidence. Through such scientific reviews, the most tolerant species of trees and plants were chosen with the condition that it can grow under the climatic condition of Assam. The recommendation and suggestions of tolerant tree and plant species can be used for specific species plantations for developing green belts around refineries and industries in Assam. The recommendation of sensitive species can be used for monitoring ambient air quality with reference to other standard procedures. KEYWORDS: Air pollution tolerance index, Industries, Air- pollution, Green belt


2009 ◽  
Vol 3 (2) ◽  
pp. 54-58
Author(s):  
D. Sarala Thambavani ◽  
◽  
S. Sendur Kumaran ◽  
G. Rajeswari ◽  
◽  
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