Characterization of water quality of Almiros river (Northeastern Crete, Greece): physicochemical parameters, polycyclic aromatic hydrocarbons and anionic detergents

Kotti, Melina; Zacharioudaki, Despoina-Eleni; Kokinou, Eleni; Stavroulakis, G.

doi:10.1007/s40808-018-0504-3

Cited by 8 publications

(4 citation statements)

References 15 publications

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“…51409221, 51979234). According to our pre-analysis (Table 1) (CESP, 2002; Kotti et al, 2018), the water samples collected at the inlet were abundantly rich in COD, BOD and NH3-N (COD: 425 mg/L, BOD: 101.15 mg/L, NH3-N: 34.853 mg/L), whilst the water samples collected in other treatment ponds were relatively low in COD of 20–140 mg/L, BOD of 3.1–13 mg/L and NH3-N of 0–1.723 mg/L. Such large variations suited well to represent the range of water quality collected from different locations investigated in this study, but also leaving non-negligible deficiency in representing water quality of moderate concentrations.…”

Section: Methodsmentioning

confidence: 99%

Quantitative estimation of wastewater quality parameters by hyperspectral band screening using GC, VIP and SPA

Zheng

Chen

Zhao

et al. 2019

PeerJ

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Water pollution has been hindering the world’s sustainable development. The accurate inversion of water quality parameters in sewage with visible-near infrared spectroscopy can improve the effectiveness and rational utilization and management of water resources. However, the accuracy of spectral models of water quality parameters is usually prone to noise information and high dimensionality of spectral data. This study aimed to enhance the model accuracy through optimizing the spectral models based on the sensitive spectral intervals of different water quality parameters. To this end, six kinds of sewage water taken from a biological sewage treatment plant went through laboratory physical and chemical tests. In total, 87 samples of sewage water were obtained by adding different amount of pure water to them. The raw reflectance (Rraw) of the samples were collected with analytical spectral devices. The Rraw-SNV were obtained from the Rraw processed with the standard normal variable. Then, the sensitive spectral intervals of each of the six water quality parameters, namely, chemical oxygen demand (COD), biological oxygen demand (BOD), NH3-N, the total dissolved substances (TDS), total hardness (TH) and total alkalinity (TA), were selected using three different methods: gray correlation (GC), variable importance in projection (VIP) and set pair analysis (SPA). Finally, the performance of both extreme learning machine (ELM) and partial least squares regression (PLSR) was investigated based on the sensitive spectral intervals. The results demonstrated that the model accuracy based on the sensitive spectral ranges screened through different methods appeared different. The GC method had better performance in reducing the redundancy and the VIP method was better in information preservation. The SPA method could make the optimal trade-offs between information preservation and redundancy reduction and it could retain maximal spectral band intervals with good response to the inversion parameters. The accuracy of the models based on varied sensitive spectral ranges selected by the three analysis methods was different: the GC was the highest, the SPA came next and the VIP was the lowest. On the whole, PLSR and ELM both achieved satisfying model accuracy, but the prediction accuracy of the latter was higher than the former. Great differences existed among the optimal inversion accuracy of different water quality parameters: COD, BOD and TN were very high; TA relatively high; and TDS and TH relatively low. These findings can provide a new way to optimize the spectral model of wastewater biochemical parameters and thus improve its prediction precision.

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Section: Methodsmentioning

confidence: 99%

Quantitative estimation of wastewater quality parameters by hyperspectral band screening using GC, VIP and SPA

Zheng

Chen

Zhao

et al. 2019

PeerJ

View full text Add to dashboard Cite

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“…1 , identified by numbers 1–10). In this work, we also considered conductivity values at stations 1, 3 and 7, measured in 2016 and presented in our previous work by Kotti et al ( 2018 ). All samples were taken from a depth of 10 cm below the water surface and filled into dark 1 L PTFE bottles.…”

Section: Methodsmentioning

confidence: 99%

“…There is a great need to spatially and temporally monitor and further quantify the environmental quality in a karst wetland to raise awareness among policymakers and the public about the environmental degradation of these exceptional habitats (Kokinou et al, 2013 ; Kotti et al, 2018 ; Zacharioudaki et al, 2021 ). Against this background and considering how vulnerable the karst systems are to climate change and human pollution, a new approach is proposed to monitor and quantify the environmental status of karst wetlands.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal environmental monitoring of the karst-related Almyros Wetland (Heraklion, Crete, Greece, Eastern Mediterranean)

Kokinou,

Zacharioudaki,

Kokolakis

et al. 2023

Environ Monit Assess

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Wetlands are of great importance for providing the appropriate conditions for the diversity of species and inhabitants living in these ecosystems and for a wide range of public goods and services (fresh water, air filtering, recreational and tourism opportunities). However, despite their importance, wetlands are continuously degraded due to various human activities at an alarming rate worldwide. In the context of this study and considering the rational management of wetlands and the inevitable impact of climate change, a wetland, spatiotemporal monitoring system is proposed, implemented in the karst wetland of Almyros Stream (Heraklion, Crete, Greece). The implementation of this system is based on robust techniques from the allied fields of chemistry, earth and ecology assisted by GIS techniques. Our results indicate that this Mediterranean karst wetland of great ecological importance is under pressure because of pollution, climate change and land change. This argument is supported by (a) the high concentrations of water photosynthetic pigments and nutrients at certain times of the year, both provided by chemical analysis and partially verified by geophysical monitoring (spectral induced polarization) and (b) the high values of soil magnetic susceptibility at sites close to human infrastructures that is an indicator of heavy metals concentrations.

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“…They are also of higher sensitivity (10–1000 times) compared to diode array UV detectors. A tremendous number of publications are dedicated to the determination of pollutants such as polycyclic aromatic hydrocarbons (PAHs) in water [ 42 , 43 , 44 ], in soils [ 45 , 46 ], in sediments [ 47 , 48 ], in pesticides in water [ 49 , 50 ], in soil [ 51 , 52 ], in pharmaceuticals in water [ 53 , 54 ], in soils [ 55 , 56 ], in sediments [ 57 , 58 ] and in metals in water [ 59 , 60 ] by chromatographic techniques coupled with fluorescence detectors. In all publications, a preconcentration of the samples is required, as the pollutants exist in very low concentrations.…”

Section: Applications Of Fluorescence In Environmental Samplesmentioning

confidence: 99%

Review of Fluorescence Spectroscopy in Environmental Quality Applications

2022

Self Cite

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Fluorescence spectroscopy is an optical spectroscopic method that has been applied for the assessment of environmental quality extensively during the last 20 years. Most of the earlier works have used conventional light sources in spectrofluorometers to assess quality. Many recent works have used laser sources of light for the same purpose. The improvement of the energy sources and of the higher resolution spectrometers has led to a tremendous increase in applications. The motivation for the present review study is the increasing use of laser sources in environmental applications. The review is divided in two parts. The fundamental principles of fluorescence spectroscopy are described in the first part. The environmental applications are described in the second part.

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Characterization of water quality of Almiros river (Northeastern Crete, Greece): physicochemical parameters, polycyclic aromatic hydrocarbons and anionic detergents

Cited by 8 publications

References 15 publications

Quantitative estimation of wastewater quality parameters by hyperspectral band screening using GC, VIP and SPA

Quantitative estimation of wastewater quality parameters by hyperspectral band screening using GC, VIP and SPA

Spatiotemporal environmental monitoring of the karst-related Almyros Wetland (Heraklion, Crete, Greece, Eastern Mediterranean)

Review of Fluorescence Spectroscopy in Environmental Quality Applications

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