COVID-19;
Coastal water quality;
Caspian sea;
Remote sensing;
Deep learning;
D O I:
10.1007/s00128-024-03914-w
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
The COVID-19 pandemic's disruptions to human activities prompted serious environmental changes. Here, we assessed the variations in coastal water quality along the Caspian Sea, with a focus on the Iranian coastline, during the lockdown. Utilizing Chlorophyll-a data from MODIS-AQUA satellite from 2015 to 2023 and Singular Spectrum Analysis for temporal trends, we found a 22% Chlorophyll-a concentration decrease along the coast, from 3.2 to 2.5 mg/m(3). Additionally, using a deep learning algorithm known as Long Short-Term Memory Networks, we found that, in the absence of lockdown, the Chlorophyll-a concentration would have been 20% higher during the 2020-2023 period. Furthermore, our spatial analysis revealed that 98% of areas experienced about 18% Chlorophyll-a decline. The identified improvement in coastal water quality presents significant opportunities for policymakers to enact regulations and make local administrative decisions aimed at curbing coastal water pollution, particularly in areas experiencing considerable anthropogenic stress.
机构:
Univ Arkansas, Dept Sociol & Criminol, Jones Chair Community, Fayetteville, AR 72701 USAUniv Arkansas, Dept Sociol & Criminol, Jones Chair Community, Fayetteville, AR 72701 USA
Fitzpatrick, Kevin M.
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h-index:
机构:
Harris, Casey
Drawve, Grant
论文数: 0引用数: 0
h-index: 0
机构:
Univ Arkansas, Dept Sociol & Criminol, Fayetteville, AR 72701 USAUniv Arkansas, Dept Sociol & Criminol, Jones Chair Community, Fayetteville, AR 72701 USA
Drawve, Grant
Willis, Don E.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Arkansas Med Sci, Dept Internal Med, Little Rock, AR 72205 USAUniv Arkansas, Dept Sociol & Criminol, Jones Chair Community, Fayetteville, AR 72701 USA