COVID-19 lockdown brought to a drastic reduction of anthropic impacts on the environment worldwide, including the marine-coastal system. Earth-Observation (EO) data have the potential to monitor and diagnose the effects of the lock down in terms of water quality. Here we connect the dots among some coastal environmental changes that occurred during the Italian COVID-19 lockdown by using EO data, also seeking to assess connectivity between inland and marine systems. We present a holistic analysis of spatial and temporal variability of environmental parameters in the North Adriatic Sea, Mediterranean basin, exploiting the synergy of different satellite sensors, as well as hydrologic data from in situ observations. Our analysis indicates a favourable interplay of environmental variability that resulted in negative anomalies of Chlorophyll-a concentration, with respect to the climatologic values. Peculiar meteooceanographic and hydrological conditions made hard to disentangle potential anthropogenic effects. However, a multi-year hierarchical cluster analysis of riverine remote sensing reflectances groups together the optical properties of inland waters during the lockdown. This emergent cluster highlights the possibility of a second-order, anthropogenic effect that, superimposed to the (first-order) environmental natural causes, may have enhanced water quality during the lockdown.
机构:
Univ Politecn Marche, Dipartimento Sci Vita & Ambiente, UNIVPM, I-60131 Ancona, ItalyCNR, IREA, I-20133 Milan, Italy
Coluccelli, A.
Russo, A.
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机构:
Univ Politecn Marche, Dipartimento Sci Vita & Ambiente, UNIVPM, I-60131 Ancona, Italy
NATO STO Ctr Maritime Res & Technol, I-19126 La Spezia, ItalyCNR, IREA, I-20133 Milan, Italy
机构:
Univ Politecn Marche, Dipartimento Sci Vita & Ambiente, UNIVPM, I-60131 Ancona, ItalyCNR, IREA, I-20133 Milan, Italy
Coluccelli, A.
Russo, A.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Politecn Marche, Dipartimento Sci Vita & Ambiente, UNIVPM, I-60131 Ancona, Italy
NATO STO Ctr Maritime Res & Technol, I-19126 La Spezia, ItalyCNR, IREA, I-20133 Milan, Italy