| Literature DB >> 32388136 |
Abstract
Coronavirus Disease (COVID-19) has become the largest pandemic that has affected 210 countries. Rolling data indicate that 257,3605 people are infected by the disease, from which 701,838 have recovered and 178,562 have died. No specific medicine or vaccine is available yet to control the disease, hence, social distancing via lockdown is widely adopted as the only preventive measure. Social distancing is observed at different level of strictness in different counties but it almost made the world to stands still. Although scientific articles on this largest social move are scanty, it resulted in benefiting the deteriorated environment to revive back. Many environmental indices such as lowering NO2 and CO2 emissions and reduction in particulate matters in air as a result of less human activities have led to clean air and pollution free water in many countries. Undoubtedly, the world was experiencing pollution in several countries due to mainly human activities including urbanization, industrialization, fossil fuel exhaustion etc. Under such situation a special (natural) a protective measure was awaited to fix environmental issues. Probably, the lockdown is one of the natural effects expected by nature via introduction of COVID-19. It is because, introduction of COVID-19 to nature was an outcome of mutation from two of its pre-existing forms, although, debate on it is still continuing. Viability of CoV-19 virus found to have a lot of correlation with aquatic and terrestrial environmental parameters such as pH, surface type, temperature etc. Air pollution is found to increase the risk of COVID-19 infection, therefore, use of mask and alcohols based standard sterilisers is strongly recommended. However, the self-revival rate of nature shall continue during post-lockdown period and a master plan must be adapted by national and international (mostly political) bodies to revive the Mother Nature completely.Entities:
Keywords: CO(2) and NO(2) emissions; COVID-19; Environmental regeneration; Pollution and wildlife; Self nurturing nature; Social lockdown
Mesh:
Year: 2020 PMID: 32388136 PMCID: PMC7189854 DOI: 10.1016/j.scitotenv.2020.139088
Source DB: PubMed Journal: Sci Total Environ ISSN: 0048-9697 Impact factor: 7.963
Fig. 1Noise pollution produced from different sources.
Fig. 2Effects of temperature on the stability of Coronavirus-ID19.
A negative effect was observed for the stability of CoV-19 virus against rise in temperature. Therefore, c countries such as India, having hot and humid climate, might be getting its advantage to have low infection and death rate as compared to other cold climate counties. Social lockdown and immunity also could be counting factors for the Indians (Source Chin et al., 2020).
Fig. 3COVID-19 induced social lockdown versus pollution in several nations (source Bhattacharyya, 2020).
NO2 level (red lines) and atmospheric articulate matter (PM2.5, blue lines) in a)Italy, b)Spain, c)France, d)Los Angeles, USA, e)Wuhan city, f)China and g) India as a function of lockdowns. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
Sensitivity and hearing level of different animals to noise pollution.
| Animals | Lowest | Highest | Sensitive |
|---|---|---|---|
| Mammals | <10 Hz | 159 KHz | 0 to 20 dB |
| Birds | 100 Hz | 8 to 10 KHz | 0 to 10 dB |
| Fish | 200 Hz | 0.8 KHz | 50 to 70 dB |
| Reptiles | 50 Hz | 2 KHz | 40 to 45 dB |
| Amphibians | 100 Hz | 2 KHz | 10 to 60 dB |
Hz- hertz-. KHz- kilo hertz, dB-decibel. Both the lowest and the highest hearing range was found to be by mammals.
Particulate matter in USA and its trend from data collected from 412 trend sites.
| Year | Mean | 10th percentile | 90th percentile |
|---|---|---|---|
| 2000 | 13.48 | 8.75 | 17.85 |
| 2001 | 13.21 | 8.75 | 17.16 |
| 2002 | 12.81 | 8.64 | 16.34 |
| 2003 | 12.37 | 7.93 | 16.18 |
| 2004 | 12.01 | 7.83 | 15.46 |
| 2005 | 12.86 | 7.84 | 16.80 |
| 2006 | 11.61 | 7.76 | 14.94 |
| 2007 | 11.92 | 7.50 | 15.40 |
| 2008 | 10.88 | 7.40 | 13.67 |
| 2009 | 9.85 | 6.93 | 12.26 |
| 2010 | 9.95 | 6.69 | 13.15 |
| 2011 | 9.79 | 6.75 | 12.27 |
| 2012 | 9.15 | 6.65 | 11.27 |
| 2013 | 8.94 | 6.42 | 11.24 |
| 2014 | 8.82 | 6.11 | 11.11 |
| 2015 | 8.50 | 6.03 | 10.68 |
| 2016 | 7.71 | 5.60 | 09.55 |
| 2017 | 8.01 | 5.82 | 09.77 |
| 2018 | 8.16 | 6.01 | 10.47 |
Data are converted into either change in 10th or 90th percentile from the original values.
Average values of particulate matter found in some of the countries.
| Country | Average values | PM2.5 | PM10 |
|---|---|---|---|
| Australia | DAV | 50 | 25 |
| ANV | 25 | 8 | |
| Canada | DAV | 150 | 75 |
| ANV | 70 | 35 | |
| European Union | DAV | 50 | DNA |
| ANV | 40 | 25 | |
| Hong Kong | DAV | 100 | 75 |
| ANV | 50 | 35 | |
| Japan | DAV | 100 | 35 |
| ANV | DNA | 15 | |
| South Korea | DAV | 100 | 35 |
| ANV | 50 | 15 | |
| Taiwan | DAV | 125 | 35 |
| ANV | 65 | 15 | |
| USA | DAV | 150 | 35 |
| ANV | DNA | 12 |
Average fine PM2.5 (particle size 2.5 μM) and course PM10 (particle size 10 μM) found in some of the countries during pre-COVID-19 time period. After lockdown the data may be available about post)COVID-19 time period to be compared. DAV-Daily Average Value, ANV- Annual Average Value, DNA-Data Not Available.