Changes in turbidity and human activities along Haihe River Basin during lockdown of COVID-19 using satellite data.
COVID-19 lockdown
NDTI
Sentinel-2
VIIRS
Water quality
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
Jan 2022
Jan 2022
Historique:
received:
24
05
2021
accepted:
07
08
2021
pubmed:
15
8
2021
medline:
12
1
2022
entrez:
14
8
2021
Statut:
ppublish
Résumé
During the outbreak of the COVID-19, China implemented an urban lockdown in the first period. These measures not only effectively curbed the spread of the virus but also brought a positive impact on the ecological environment. The water quality of urban inland river has a significant impact on urban ecology and public health. This study uses Sentinel-2 visible and near-infrared band reflectance and the Normalized Difference Turbidity Index (NDTI) to analyze the water quality of the Haihe River Basin during the control period of COVID-19. It is found that during the lockdown period, the river water quality was significantly improved compared to the same period in 2019. The average NDTI of the Haihe River Basin in March decreased by 0.27, a decrease of 219.06%; in April, it increased by 0.07, that is 38.38%. Further exploration using VIIRS lights found that the brightness of the lights in the main urban area was significantly lower in February, the beginning of the lockdown. However, as the city was unblocked, the lights rose sharply in March and then recovered to normal. There is obvious asynchrony in changes between river turbidity and light. The results can help understand the impact of human activities on the natural environment.
Identifiants
pubmed: 34389962
doi: 10.1007/s11356-021-15928-6
pii: 10.1007/s11356-021-15928-6
pmc: PMC8363492
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
3702-3717Informations de copyright
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Références
Sci Total Environ. 2020 Aug 25;732:139282
pubmed: 32413621
PLoS One. 2019 Jun 28;14(6):e0218883
pubmed: 31251791
J Environ Sci (China). 2007;19(3):306-11
pubmed: 17918592
Environ Monit Assess. 2015 Jun;187(6):384
pubmed: 26017808
Sci Total Environ. 2020 Aug 25;732:139280
pubmed: 32402928
Sci Total Environ. 2020 Aug 1;728:138870
pubmed: 32335408
Sci Total Environ. 2020 Aug 1;728:138914
pubmed: 32339832
Sci Adv. 2016 Jun 10;2(6):e1600377
pubmed: 27386582
Sensors (Basel). 2016 Aug 16;16(8):
pubmed: 27537896
Environ Res. 2020 Aug;187:109634
pubmed: 32416359
Sci Total Environ. 2020 Aug 10;729:139085
pubmed: 32361428
Sci Total Environ. 2020 Sep 15;735:139541
pubmed: 32445829
Sci Total Environ. 2020 Sep 20;736:139612
pubmed: 32470688
Mar Pollut Bull. 2019 Aug;145:96-104
pubmed: 31590839
Sci Total Environ. 2020 Aug 25;732:139297
pubmed: 32408041
Environ Chem Lett. 2021;19(4):3477-3485
pubmed: 33776610
Sci Total Environ. 2020 Aug 1;728:138820
pubmed: 32334164