A Novel Approach to Monitoring the Quality of Lakes Water by Optical and Modeling Tools: Lake Sevan as a Case Study

Varotsos, C.; Krapivin, Vladimir F.; Mkrtchyan, F.A.; Gevorkyan, S.A.; Cui, Tengfei

doi:10.1007/s11270-020-04792-8

Cited by 33 publications

(7 citation statements)

References 22 publications

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“…There are some studies that have focused on a particular water body using methodologies that would be useful to continue using in future research in this field. Varotsos et al (2020) chose Lake Sevan for their research, and used an algorithm for big data processing based on the geo-ecological information modeling system (GIMS) to monitor water quality. Lake Sevan was chosen as monitoring is necessary due to the rivers intersecting the lake carrying industrial, agricultural, and domestic waste which affects the water quality .…”

Section: Future Research Recommendationsmentioning

confidence: 99%

“…GIMS uses a combination of models with big data fluxes to predict the observed evolution of the environmental system under consideration. The functions can be adapted to suit the chosen ecosystem taking into account existing and delivered information (Varotsos et al, 2020;Varotsos & Krapivin, 2018;Varotsos, Krapivin & Mkrtchyan, 2019). This is useful for assessing the biocomplexity of marine ecosystems, its interaction with the surrounding environment, and the survivability .…”

Section: Future Research Recommendationsmentioning

confidence: 99%

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Ecotoxicity of Microplastic Pollutants to Marine Organisms: a Systematic Review

Palmer

Herat

2021

Water Air Soil Pollut

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Plastic is a ubiquitous material used across the globe. It is easily transported to various habitats and can then be ingested by animals, with the potential to bioaccumulate up the food chain further. Although classified as solid waste, some plastics can be considered hazardous waste due to the chemicals used in the production process and those that can be adsorbed, such as hydrophobic pollutants in seawater. Plastics can break down into secondary particulate plastics, or be microscopically primary plastics, smaller than 5mm. Marine organisms of all sizes can mistake plastic for food or consume prey with microplastics. This can cause detrimental toxic effects at a cellular, biochemical, and muscular level.This research uses a systematic quantitative literature review (SQLR) method to determine the most common polymers, hazardous chemicals, and marine organisms to ingest microplastic and incur ecotoxicological consequences. The results indicated polyethylene (PE), polypropylene (PP), and polystyrene (PS) to be the topmost common polymers, with sizes between 1-100 μm. Plastic was observed to be a sink for non-additive pollutants more than a vector. Persistent organic pollutants (POPs) were the most common pollutants found. Biological impacts and side effects included mortality, reproductive effects, genotoxicity, accumulation, and behavioral effects. Further research is needed regarding the interrelationship of plastic polymers, additives, and non-additives combined for inducing toxic effects.

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Section: Future Research Recommendationsmentioning

confidence: 99%

Section: Future Research Recommendationsmentioning

confidence: 99%

Ecotoxicity of Microplastic Pollutants to Marine Organisms: a Systematic Review

Palmer

Herat

2021

Water Air Soil Pollut

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“…Lakes play a crucial role in the Earth's biosphere, although they represent only a small part of the water on our planet [1]. They provide habitats for a wide range of species; form essential components in hydrological, nutrient, and carbon cycles [2]; and offer various ecosystem services to human beings [3].…”

Section: Introductionmentioning

confidence: 99%

A Preliminary Analysis of Anthropogenic and Natural Impacts on a Volcanic Lake Ecosystem in Southern Italy by UAV-Based Monitoring

Mirauda

Padula²,

Mirauda

et al. 2022

IJERPH

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Lakes play an important role in providing various ecosystem services. However, stressors such as climate change, land use, or land-cover change threaten the ecological functions of lakes. National and international legislations address these threats and establish consistent, long-term monitoring schemes. Remote sensing techniques based on the use of Unmanned Aerial Vehicles (UAV) have recently been demonstrated to provide accurate and low-cost spatio-temporal views for the assessment of the ecological status of aquatic ecosystems and the identification of areas at risk of contamination. Few studies have been carried out so far on the employment of these tools in the monitoring of lakes. Therefore, high-resolution UAV surveys were used to analyse and evaluate natural and anthropogenic impacts on the habitat status of a volcanic lake in a protected area. Five UAV flights took place during a year-long cycle (November 2020 to November 2021) in a volcanic lake located in southern Italy. For each flight performance, an orthomosaic of georeferenced RGB images was obtained, and the different features of interest were monitored and quantified using automated processing in a GIS environment. The UAV images made it possible not only to estimate the flooded shores but also to detect the impact of human-made structures and infrastructures on the lagoon environment. It has been possible to observe how the rapid changes in lake-water level have led to the submersion of about 90.000 m2 of terrain in winter, causing the fragmentation and degradation of habitats, while the connectivity of the natural ecosystem has been threatened by the presence of the road around the lake. The proposed methodology is rather simple and easily replicable by decision makers and local administrators and can be useful for choosing the best restoration interventions.

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“…akes are one of the most important components of the earth's surface system [1]- [3]. Lakes provide a main source of potable water; serve various functions, such as irrigation, aquaculture, storage and regulation, tourism and ecological balance; and play an important role in regional ecosystems and global biogeochemical cycles [4], [5]. These important effects are especially evident in Daqing Lakes, the largest lake gathering place in Northeast China [6], [7].…”

Section: Introductionmentioning

confidence: 99%

Quantifying Turbidity Variation for Lakes in Daqing of Northeast China Using Landsat Images From 1984 to 2018

Wang

Song

Wen

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Water turbidity is an important proxy to measure water quality and environmental conditions. Based on extensive field data and Landsat data (2011-2018) ，this study developed a retrieval model suitable for turbidity. The determination coefficient (R 2 ) of the model was 0.946 and the root mean square error (RMSE) was 23.82 NTU. The model was implemented to obtain the turbidity information of hundreds of lakes in Northeast China . The results revealed the distinctive spatial pattern of water turbidity values of the lakes (i.e., high turbidity in the south; low turbidity in the northwest; and moderate turbidity in the east). In terms of temporal pattern, the water turbidity values of most lakes trended downward at an average rate of 1.39 NTU/a (P< 0.05) with obvious seasonal differences (i.e., decreased from May to the lowest in July, and then increased from September onwards). Finally, we quantitatively examined how several typical factors affect turbidity variation at different scales. We found that water turbidity was highly correlated with NDVI (R=0.56, P< 0.001), followed by water temperature and wind speed (0.02

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A Novel Approach to Monitoring the Quality of Lakes Water by Optical and Modeling Tools: Lake Sevan as a Case Study

Cited by 33 publications

References 22 publications

Ecotoxicity of Microplastic Pollutants to Marine Organisms: a Systematic Review

Ecotoxicity of Microplastic Pollutants to Marine Organisms: a Systematic Review

A Preliminary Analysis of Anthropogenic and Natural Impacts on a Volcanic Lake Ecosystem in Southern Italy by UAV-Based Monitoring

Quantifying Turbidity Variation for Lakes in Daqing of Northeast China Using Landsat Images From 1984 to 2018

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