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Pregled bibliografske jedinice broj: 1061387

Monitoring Water Quality in the Northern Adriatic Sea


Ciglenečki, Irena; Dautović, Jelena; Kuzmić, Milivoj
Monitoring Water Quality in the Northern Adriatic Sea // The Second Eurasian RISK-2020 Conference and Symposium / Vugar, Aliyev (ur.).
Tbilisi: AIJR Publisher, 2020. str. 102-102 doi:10.21467/abstracts.93.57 (predavanje, međunarodna recenzija, sažetak, ostalo)


CROSBI ID: 1061387 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Monitoring Water Quality in the Northern Adriatic Sea

Autori
Ciglenečki, Irena ; Dautović, Jelena ; Kuzmić, Milivoj

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, ostalo

Izvornik
The Second Eurasian RISK-2020 Conference and Symposium / Vugar, Aliyev - Tbilisi : AIJR Publisher, 2020, 102-102

ISBN
978-81-942709-4-2

Skup
The Second Eurasian RISK-2020 Conference and Symposium

Mjesto i datum
Tbilisi, Gruzija, 12–19.04.2020

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
chromophoric dissolved organic matter ; disolved organic carbon ; remote sensing ; northern Adriatic ; MARRES ; EcoRENA

Sažetak
Dissolved organic matter (DOM), is one of the largest pools of organic carbon in the biosphere and is equivalent in magnitude to terrestrially fixed carbon. In the 300 - 800 nm wavelength range, DOM in surface waters can be divided into transparent and light absorbing groups. The absorbing-fraction, chromophoric dissolved organic matter (CDOM), historically referred to as gelbstoff, humic matter, or yellow substances, is the primary absorber of sunlight and a major factor that determines the optical properties of natural waters and directly affects both the availability and the spectral quality of light. Recently, importance of OM especially its chromophoric fraction in natural waters has increased due to ; intensive remote sensing of ocean color related to organic carbon cycling ; remote sensing of chlorophyll as an indicator of primary productivity and the potential interference in its measurement by CDOM ; and carbon cycling in coastal waters. DOM concentrations in natural waters can be assessed from the concentration of dissolved organic carbon (DOC) which makes approximately 90% of the organic carbon in the oceans and/or from the spectral properties of CDOM. While the absorption of light by CDOM affects both the inherent and apparent optical properties of seawater, optical methods, including remote sensing, may be successfully applied to study the distribution of CDOM in the ocean as well as in coastal and inland waters. Within the Croatian Science Foundation projects MARRES and EcoRENA surface waters’ dissolved organic matter concentration were measured in the northern Adriatic during spring and summer season in 2017 and 2018 by standard high temperature catalytic oxidation method (HTCO). Measurements indicate different water quality in spring and summer seasons in both studied years. These results, although extremely valuable, are inevitably of limited spatial and temporal extent. Satellite-based monitoring, with unavoidable tradeoffs, provides repeated, synoptic measurements over large areas, and is the natural next step. However, satellite sensors cannot detect DOC directly because not all the organic carbon is chromophoric. CDOM and DOC relationship can be successfully established, as demonstrated e.g. in Mannino et al (2008). The approach can be applied even in optically shallow waters if additional requirements are satisfied (Ciglenečki et al, 2020). Ocean color remote sensing, with properly validated and tested algorithms, offers valuable cost-effective tool for monitoring sub-basins like the northern Adriatic, and timely detection of possibly detrimental changes that might develop there.

Izvorni jezik
Engleski

Znanstvena područja
Kemija, Geofizika, Interdisciplinarne prirodne znanosti



POVEZANOST RADA


Projekti:
HRZZ-IP-2018-01-1717 - Rogozničko morsko jezero kao model odziva ekosustava na promjene u okolišu (MARRES) (Ciglenečki-Jušić, Irena, HRZZ - 2018-01) ( POIROT)
HRZZ-IP-2016-06-4764 - Ekološki odziv sjevernog Jadrana na klimatske promjene i antropogeni učinak (EcoRENA) (Supić, Nastenjka, HRZZ - 2016-06) ( POIROT)

Ustanove:
Institut "Ruđer Bošković", Zagreb

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Ciglenečki, Irena; Dautović, Jelena; Kuzmić, Milivoj
Monitoring Water Quality in the Northern Adriatic Sea // The Second Eurasian RISK-2020 Conference and Symposium / Vugar, Aliyev (ur.).
Tbilisi: AIJR Publisher, 2020. str. 102-102 doi:10.21467/abstracts.93.57 (predavanje, međunarodna recenzija, sažetak, ostalo)
Ciglenečki, I., Dautović, J. & Kuzmić, M. (2020) Monitoring Water Quality in the Northern Adriatic Sea. U: Vugar, A. (ur.)The Second Eurasian RISK-2020 Conference and Symposium doi:10.21467/abstracts.93.57.
@article{article, author = {Ciglene\v{c}ki, Irena and Dautovi\'{c}, Jelena and Kuzmi\'{c}, Milivoj}, editor = {Vugar, A.}, year = {2020}, pages = {102-102}, DOI = {10.21467/abstracts.93.57}, keywords = {chromophoric dissolved organic matter, disolved organic carbon, remote sensing, northern Adriatic, MARRES, EcoRENA}, doi = {10.21467/abstracts.93.57}, isbn = {978-81-942709-4-2}, title = {Monitoring Water Quality in the Northern Adriatic Sea}, keyword = {chromophoric dissolved organic matter, disolved organic carbon, remote sensing, northern Adriatic, MARRES, EcoRENA}, publisher = {AIJR Publisher}, publisherplace = {Tbilisi, Gruzija} }
@article{article, author = {Ciglene\v{c}ki, Irena and Dautovi\'{c}, Jelena and Kuzmi\'{c}, Milivoj}, editor = {Vugar, A.}, year = {2020}, pages = {102-102}, DOI = {10.21467/abstracts.93.57}, keywords = {chromophoric dissolved organic matter, disolved organic carbon, remote sensing, northern Adriatic, MARRES, EcoRENA}, doi = {10.21467/abstracts.93.57}, isbn = {978-81-942709-4-2}, title = {Monitoring Water Quality in the Northern Adriatic Sea}, keyword = {chromophoric dissolved organic matter, disolved organic carbon, remote sensing, northern Adriatic, MARRES, EcoRENA}, publisher = {AIJR Publisher}, publisherplace = {Tbilisi, Gruzija} }

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