scholarly journals Use of Diatoms in Monitoring the Sakarya River Basin, Turkey

Water ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 703 ◽  
Author(s):  
Cüneyt Nadir Solak ◽  
Łukasz Peszek ◽  
Elif Yilmaz ◽  
Halim Aytekin Ergül ◽  
Melih Kayal ◽  
...  
Keyword(s):  
Water Quality ◽  
River Basin ◽  
Water Quality Assessment ◽  
Sensitivity Index ◽  
Diatom Index ◽  
Diatom Indices ◽  
Sakarya River ◽  
Important Correlation ◽  
Water Quality Status ◽  
Quality Status

The Sakarya River basin is one of the largest basins in Turkey, and encompasses the Kocaeli, Düzce, Sakarya, Bursa, Bilecik, Bolu, Kütahya, Eskişehir, Ankara, Afyon, and Konya provinces. In this study, the water quality status of the basin was investigated using 18 diatom indices, calculated in Omnidia software. For this purpose, a total of 46 stations were surveyed in the rivers and streams of the basin in May 2018. As a result, 41 of 195 diatom taxa were found to be the most frequent (>10% share in assemblage). According to Detrented Correspondence Analysis (DCA), three subgroups were described as the spring section, Ankara and Polatlı section, and lowland section. The river basin quality was evaluated as moderate or lower quality status, while only a few sites had good status. The diatom index scores showed that the Descy’s Index (DES), Pampean Diatom Index (IDP), Artois-Picardie Diatom Index (IDAP), and Specific Pollution Sensitivity Index (IPS) appear best suited to water quality assessment in this area, showing the largest number of significantly important correlation with environmental variables.

Water Quality Assessment on Fujiang River of China Using Projection Pursuit Model

2011 ◽  
Vol 204-210 ◽  
pp. 1326-1329
Author(s):  
Ben Lin Dai ◽  
Yu Long He ◽  
Jin Rong ◽  
Xiao Hui Jiang
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Projection Pursuit ◽  
Water Quality Assessment ◽  
Comparison Results ◽  
Volatile Phenol ◽  
Status Assessment ◽  
Water Quality Status ◽  
Projection Pursuit Model ◽  
Quality Status

Due to the increasingly serious water quality degradation on river, the study on river water quality status assessment has attracted more and more attention of the researchers and decision-makers. In this paper, water quality assessment of Fujiang River from January 2005 to December 2005 was studied by projection pursuit model (PPM). The water quality status of Fujiang River was assessed by the use of 10 monitoring sections, with DO, CODMn, BOD5, NH3-N, Petroleum, and Volatile phenol indicators. Based on the PPM analysis procedures, the assessed sections are described into 1 “category 1”, 4 “category 2” and 5 “category 3” states in 2005. The relative comparison results show that water quality status spatial order of Fujiang River from bad to good is: Fj09<Fj02< Fj10<Fj07< Fj03<Fj05<Fj04< Fj06<Fj08<Fj01.

Grey Correlation Model Based on Diatom Indices Evaluating Water Quality of Longjiang River

2013 ◽  
Vol 448-453 ◽  
pp. 43-47 ◽  
Author(s):  
Xin Tang ◽  
De Suo Cai ◽  
Wen Ting Yao
Keyword(s):  
Water Quality ◽  
Water Quality Assessment ◽  
Quality Standard ◽  
Relational Model ◽  
Water Quality Standard ◽  
Diatom Index ◽  
Model Based ◽  
Diatom Indices ◽  
Grey Relational

In order to evaluate the water quality of Longjiang river comprehensively, diatoms of 15 sampling sites are collected to establish the Grey Relational Model based on three diatom indexesIPS, IBD and IDG. From the Cluster analysis of sampling sites and the box plot of diatom index, IBD is the best, then the IPS, the diatom index weights on water quality assessment are 0.637 for IBD, 0.2583 for IPS, 0.1074 for IDG respectively. Finally, by comparing the water quality standard level based on Grey Relational Model, it can be known that the water quality of most sampling sites is fine except that site No.1 and No.3 belong to III water quality standard. The result shows that it is more comprehensive and reasonable to use the Grey Relational Model based on diatom index rather than individual diatom index to assess water quality.

scholarly journals The Application of Benthic Diatoms in Water Quality Assessment (Mlava River, Serbia)

2016 ◽  
Vol 75 (2) ◽  
pp. 199-205 ◽  
Author(s):  
Olga S. Jakovljević ◽  
Slađana S. Popović ◽  
Danijela P. Vidaković ◽  
Katarina Z. Stojanović ◽  
Jelena Ž. Krizmanić
Keyword(s):  
Water Quality ◽  
Ecological Status ◽  
Detrended Correspondence Analysis ◽  
Pollution Index ◽  
Water Hardness ◽  
Nutrient Concentrations ◽  
Sensitivity Index ◽  
Temperature Conductivity ◽  
Diatom Index ◽  
Diatom Indices

AbstractThe main objective of this study was to assess the ecological status of the Mlava River based on epilithic diatoms and to test the use of diatom indices as a tool for estimating the quality of flowing waters in Serbia. Quantitative analysis showed that in AprilAchnanthidium minutissimumwas dominant at each site, except at the fifth site, whereAmphora pediculuswas dominant. In July and September,Achnanthidium minutissimum, Achnanthidium pyrenaicum,Amphora pediculus,Denticula tenuis,Diatoma vulgaris,Gomphonema elegantissimum,Cocconeis pseudolineataandCocconeis placentulavar.lineatadominated. Detrended correspondence analysis (DCA) was used to detect the major patterns of variation in species composition. The first DCA axis summarizes the distribution of the diatom community, mainly through temperature, conductivity, oxygen and water hardness gradient. The second DCA axis was weakly correlated with few variables. Based on the average values of the pollution sensitivity index (IPS), commission for economical community metric (CEE) and biological diatom index (IBD), the water of the Mlava River belonged to water class I during all three seasons. Values of the diatom-based eutrophication/pollution index (EPI-D) indicated class II water quality. According to calculated trophic diatom index (TDI) values, water of the Mlava River was characterized by intermediate nutrient concentrations during three seasons. Principal components analysis was used to represent the correlation between diatom indices, and the highest correlation among the selected diatom indices is seen between EPI-D, IPS and IBD.

scholarly journals DiaThor: R package for computing diatom metrics and biotic indices

2021 ◽  
Author(s):  
Maria Mercedes Nicolosi Gelis ◽  
Maria Belen Sathicq ◽  
Jonathan Jupke ◽  
Joaquin Cochero
Keyword(s):  
Water Quality ◽  
Web Application ◽  
Water Quality Assessment ◽  
R Package ◽  
Morphological Data ◽  
Sensitivity Index ◽  
Biotic Indices ◽  
Ecological Data ◽  
Diatom Index ◽  
Open Platform

1- Diatoms are widely used to detect changes in water quality due to their specific sensibility to a variety of environmental conditions. Among the different diatom-based tools to measure water quality, the biotic indices, ecological and morphological traits are the most commonly used. 2- DiaThor, contains 19 functions that provide morphological data of the samples (number and shape of chloroplasts, total biovolume), ecological data (species richness, evenness, diversity, size classes, ecological guilds, ecological preferences) and biotic indices (Descy Index, EPID Index, Indice Diatomique Artois-Picardie, Swiss Diatom Index, Pampean Diatom Index, ILM index, Specific Pollution sensitivity Index, Lobo Index, Sladecek index, SPEAR(herbicides) index and the Trophic index). A web application (in Shiny) was also developed to provide access to the package for those users not familiar with the R environment. 3- The structure of the package, how it functions and the structure of the input and output data are explained. To demonstrate the most common use of DiaThor, an example of the package performance is also provided. 4- The DiaThor package aims to contribute to the water quality assessment based on diatom assemblages, while also providing researchers with an open platform to suggest new statistics and functionalities to be integrated into future builds.

Water Quality Status of Baitarani River Basin

2017 ◽  
Vol 10 (6) ◽  
pp. 732
Author(s):  
Ramesh Chandra Pati ◽  
Swoyam P. Rout
Keyword(s):  
Water Quality ◽  
River Basin ◽  
Water Quality Status ◽  
Quality Status

Demonstration of the Bzura River restoration using diatom indices

Biologia ◽  
2011 ◽  
Vol 66 (3) ◽  
Author(s):  
Barbara Rakowska ◽  
Ewelina Szczepocka
Keyword(s):  
Water Quality ◽  
Benthic Diatom ◽  
Biological Assessment ◽  
Sensitivity Index ◽  
Running Waters ◽  
Class Iii ◽  
Gradual Improvement ◽  
Diatom Index ◽  
Diatom Indices ◽  
The Impact

AbstractThe quality of running waters is reflected in the composition of benthic diatom assemblages. The biological assessment of changes in the composition, and thus of changes in water quality, was carried out in the lowland mid-sized Bzura River, Central Poland, over the period of 30 years. The benthic diatom material consisted of samples collected in two investigation periods, in 1972 and in 2003–2004. The methods applied were three diatom indices, IPS — Specific Pollution Sensitivity Index, GDI — Genetic Diatom Index and TDI —Trophic Diatom Index, and the OMNIDIA computer program, which are commonly used in Europe. The aim of the study was demonstrating the process of restoration that occurred in the river. The Bzura was included to the most polluted ones in Poland till 1996. Since 1998 a gradual improvement in water quality has been observed, which is caused by a number of biological-technical measures, mostly a proper organization of sewage management in most cites located on the river. In 1972 the IPS classified Bzura water into Water Quality Class IV-V, while in 2003–2004 it reached much higher values, i.e. Class III–IV. On the basis of the GDI Class III was determined in the whole river in 2003–2004, while its values indicated Class III–IV in 1972. The trophic index, TDI attributed Bzura water to the eutrophic to hypereutrophic zone in 2003–2004, and to one degree better water, i.e. from the mesoeutrophic to eutrophic zone, in 1972.From the carried out research it follows that the IPS is the best index, which may be commonly applied to assess saprobic pollution of running waters in Poland. It indicated an improvement in water that occurred in the Bzura over 30 years and took into account the impact of pollution sources and tributaries in given river sections.

Environmetric Techniques Application in Water Quality Assessment: A Case Study in Linggi River Basin

2015 ◽  
Vol 74 (1) ◽  
Author(s):  
Mohd Fadhil Kasim ◽  
Hafizan Juahir ◽  
Ismail Tawnie ◽  
Azman Azid ◽  
Ahmad Shakir Mohd Saudi ◽  
...  
Keyword(s):  
Water Quality ◽  
Trend Analysis ◽  
River Basin ◽  
Anthropogenic Source ◽  
Water Quality Variable ◽  
The Future ◽  
Water Quality Status ◽  
Quality Status ◽  
Monitoring Stations

In this research, determination of water quality status was carried out by using non-parametric Mann-Kendall analysis for the Linggi River Basin and for classification of the river, HACA and PCA has been used to classify the river to obtain the clearest picture of the water quality status. The dataset includes 6 parameters for 6 monitoring stations (1997 to 2012). Mann-Kendall trend analysis shows trend analysis indicate that significant improvement trend for all parameters studied except for BOD (WQ1 (P<0.1) and WQ6 (P<0.05)) and SS (WQ4 to WQ6 (P<0.05)) trend were shows the unhealthy significant trend. This indicates that even though the WQI getting good in trend, a few parameters such as BOD and SS need to be watched and enforcement by the local authority need to be done to make sure the WQI continuously getting better in the future. HACA grouped the six monitoring stations into three different clusters based on their similarities namely less pollution site (LPS), medium pollution site (MPS) and high pollution site (HPS). HACA indicate one station (WQ1) into group LPS, two stations into MPS (WQ2 and WQ3) and three stations into HPS (WQ4, WQ5 and WQ6) respectively. PCA was used to investigate the origin of each water quality variable based on the clustered region. Three principal components (PCs) were obtained with 75.3% total variation for HPS, 73.4% for MPS and 68.1% for LPS. The major pollution source for HPS are of anthropogenic source (municipal waste, domestic wastes) while for MPS the major source of pollution was from non point source pollution such as animal husbandry in livestock farm. For the LPS, major source comes from the sea tide effect (natural effect). The identification and classification of different region by this study will help the local authorities make better and more informed decisions about the improvement water quality program for the future.

Water quality assessment of the river Buriganga, Bangladesh

2018 ◽  
Vol 4 (1) ◽  
pp. 47-54 ◽  
Author(s):  
K Fatema ◽  
M Begum ◽  
M Al Zahid ◽  
ME Hossain
Keyword(s):  
Water Quality ◽  
Water Quality Assessment ◽  
Quality Parameters ◽  
Dry Season ◽  
River Ecosystem ◽  
Wet Season ◽  
Different Seasons ◽  
Water Quality Status ◽  
Quality Status

The present investigation was conducted to assess the water quality status of the river Buriganga. Water samples were collected from three selected stations in wet (June-August) and dry (November-January) seasons during the years 2017 and 2018. Temperature and Dissolved Oxygen (DO) of water varied from 22.80 to 31.40 °C and 0.22 to 2.74 mg/L, respectively. Electrical conductivity of water varied from 180 to 598 μS/cm while pH ranged from 7.61 to 8.97. This study showed that temperature, DO and Fe were higher in wet season than in the dry season, whereas pH, conductivity and phosphate were higher in dry season than in the wet season. But manganese did not vary in different seasons. It is found that the differences of water quality parameters were significant in seasons (p<0.05) except for Fe and insignificant for stations (p>0.05) except for DO. The results reveal that there were significant differences between sampling seasons (wet and dry) (p<0.05) except for temperature and manganese. A significant correlation (p<0.01) was also found among temperature and other parameters viz. DO, conductivity, pH, phosphate. According to the result obtained in the present study, it may be said that the water quality of the river Buriganga is not acceptable to declare the river-ecosystem as a sound one ecologically.J. Biodivers. Conserv. Bioresour. Manag. 2018, 4(1): 47-54

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