Sorry, you need to enable JavaScript to visit this website.

An integrated approach to chlorophyll monitoring in surface freshwater: The case study of lake albano (central Italy)

TitleAn integrated approach to chlorophyll monitoring in surface freshwater: The case study of lake albano (central Italy)
Publication TypeArticolo su Rivista peer-reviewed
Year of Publication2021
AuthorsSighicelli, Maria, Perrone M., Lecce Francesca, Malavasi M., and Scalici M.
JournalWater (Switzerland)
Volume13
ISSN20734441
KeywordsAntennas, Chlorophyll, Chlorophyll concentration, Deforestation, Efficient monitoring, Freshwater ecosystem, image processing, International regulations, Lakes, Large amounts of data, Pulse amplitude modulation, Pulse-amplitude modulated, River pollution, Water quality, Water quality degradation, Water quality monitoring
Abstract

{Inland freshwaters are of great importance for human health and activities, but major stressors such as nutrient pollution, deforestation, and urbanization are compromising their status. Water quality degradation and freshwater ecosystem preservation are current issues worldwide requiring frequent and efficient monitoring protocols. The increasing need for large amounts of data to comply with national and international regulations on water quality monitoring highlights traditional procedures limits. Therefore, the purpose of the present study is to investigate the potential of alternative and rapid methods for chlorophyll concentration surveys in freshwaters. The Phyto-PAM (pulse amplitude-modulated) instrument and the Case-2 Regional Coast Colour (C2RCC) satellite image processor were selected to estimate chlorophyll concentration in the surface waters of Lake Albano (Central Italy), selected as a pilot area for the project BLOOWATER (Water JPI 2018 Joint Call Closing the Water Cycle Gap). The correlation tests’ results indicate significant relations with chlorophyll data measured spectrophotometrically, confirming the suitability of both methods for chlorophyll retrieval. However, the relatively low strength of the correlation between remotely sensed and spectrophotometric data (r = 0.57, p < 2.2 × 10−16 ) was not as satisfactory as with Phyto-PAM values (r = 0.97

Notes

cited By 0

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85105884399&doi=10.3390%2fw13091253&partnerID=40&md5=2d7fd208d39bf05fa338feea785187a0
DOI10.3390/w13091253
Citation KeySighicelli2021