Monitoring water quality parameters in the marine area of Danube Delta using satellite remote sensing: preliminary results

Alexandridis, Thomas; Aleksandrov, Borys; Monachou, S.; Kalogeropoulos, Chris; Strati, S.; Vorobyova, L. V.; Bogatova, Yulia; Grigoriadis, Vassilios; Vergos, Georgios S.; Topaloglou, Charalampos

doi:10.1117/12.2027210

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…Remotely sensed observations have been used in this study to estimate precipitation, vegetation cover, Chl‐ a and TSM, as it provides additional spatial information not present to in‐situ data and hydro‐dynamical and water quality models (Dekker et al ., ), and the reported accuracies are acceptable for operational use in various environments (Ouillon et al ., , ; Doerffer and Schiller, ; Doxaran et al ., ; Alexandridis et al ., ; Monachou et al ., ). Case II is a globally applicable algorithm with sufficient validation, however, local deviations are expected.…”

Section: Resultsmentioning

confidence: 95%

“…The resulting maps were validated using in‐situ collected water samples and analyzed in the laboratory, revealing a mean paired difference of 1.37 mg m −3 for Chl‐ a ( N = 22, p = 0.2289) (Monachou et al ., ). Lack of appropriate TSM measurements prevented its validation in the test site, but the same combination of data, tools and team has produced very good results in the coastal zone of northwest Black Sea, with an average difference of 5.02 g m −3 (RMSE = 26%) from 120 observations (Alexandridis et al ., ).…”

Section: Methodsmentioning

confidence: 97%

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Investigation of the temporal relation of remotely sensed coastal water quality with GIS modelled upstream soil erosion

et al. 2014

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Hydrological processes at the river basin influence the quality of downstream water bodies by controlling the loads of nutrients and suspended solids. Although their monitoring is important for social, economic and environmental reasons, in-situ measurements are too expensive and thus too sparse to describe their relations. The aim of this study is to investigate the temporal relations of soil erosion in the upstream part of river basins with water quality characteristics in the downstream coastal zone, using satellite remote sensing and GIS modelling. Data from satellite missions of MODIS, SRTM and TRMM were used to describe the soil erosion factors of the Universal Soil Loss Equation in three river basins, and MERIS satellite data was used to estimate chlorophyll-a and total suspended matter concentrations in the coastal zone of northwest Aegean Sea in Greece, where the rivers discharge. The resulting time series showed an average correlation of upstream rainfall with downstream water quality, which increased when soil erosion was introduced. Higher correlations were observed with the use of a time lag, revealing a variable delay between the three test sites. Lower correlation coefficients were observed for chlorophyll-a, due to the sensitivity of algae to environmental conditions. The use of free of charge satellite data and easy to operate GIS models renders the findings of this work useful for coastal zone management bodies, in order to help increase aquaculture productivity, predict algal blooms and predict siltation of ports.

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Section: Resultsmentioning

confidence: 95%

Section: Methodsmentioning

confidence: 97%

Investigation of the temporal relation of remotely sensed coastal water quality with GIS modelled upstream soil erosion

et al. 2014

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Development of a Web-based GIS monitoring and environmental assessment system for the Black Sea: application in the Danube Delta area

Tziavos

Alexandridis

Aleksandrov

et al. 2016

Environ Monit Assess

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In this paper, the development of a Web-based GIS system for the monitoring and assessment of the Black Sea is presented. The integrated multilevel system is based on the combination of terrestrial and satellite Earth observation data through the technological assets provided by innovative information tools and facilities. The key component of the system is a unified, easy to update geodatabase including a wide range of appropriately selected environmental parameters. The collection procedure of current and historical data along with the methods employed for their processing in three test areas of the current study are extensively discussed, and special attention is given to the overall design and structure of the developed geodatabase. Furthermore, the information system includes a decision support component (DSC) which allows assessment and effective management of a wide range of heterogeneous data and environmental parameters within an appropriately designed and well-tested methodology. The DSC provides simplified and straightforward results based on a classification procedure, thus contributing to a monitoring system not only for experts but for auxiliary staff as well. The examples of the system's functionality that are presented highlight its usability as well as the assistance that is provided to the decision maker. The given examples emphasize on the Danube Delta area; however, the information layers of the integrated system can be expanded in the future to cover other regions, thus contributing to the development of an environmental monitoring system for the entire Black Sea.

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Monitoring water quality parameters in the marine area of Danube Delta using satellite remote sensing: preliminary results

Cited by 2 publications

References 9 publications

Investigation of the temporal relation of remotely sensed coastal water quality with GIS modelled upstream soil erosion

Investigation of the temporal relation of remotely sensed coastal water quality with GIS modelled upstream soil erosion

Development of a Web-based GIS monitoring and environmental assessment system for the Black Sea: application in the Danube Delta area

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