scholarly journals Data Visualization as a Measure to Improve the Effectiveness of Surface Water Quality Analysis

Author(s):  

The article shows the possibilities of data visualization for various samples using examples of hydrological and water management information. The efficiency of using some techniques (graphical representation of data, Shewhart control maps, box-and-whiskers diagram, and scattering diagram) for analyzing the results of water quality control of the Moscow river and some of its tributaries is demonstrated. It is shown that the methods of visual analysis allow you to visually display any changes in the quality of surface water and can become an effective tool in the organization of water use in the metropolis.

2019 ◽  
Vol 42 (1) ◽  
pp. 67-75 ◽  
Author(s):  
Igor Gopchak ◽  
Tetiana Basiuk ◽  
Ihor Bialyk ◽  
Oleg Pinchuk ◽  
Ievgenii Gerasimov

Abstract The environmental assessment of the surface water quality of the Western Bug River has been made using the system of classification quality of land surface water of Ukraine in accordance with the approved methodology, which allows comparing water quality of separate areas of water objects of different regions. The calculation of the environmental assessment of water quality has been carried according to three blocks: block of salt composition, block of trophic and saprobic (ecological and sanitary) indicators and block of indicators of content of specific toxic substances. The results are presented in the form of a combined environmental assessment, based on the final conclusions of the three blocks and consists in calculating the integral ecological index. Comprehensive studies of changes in the water quality of the Western Bug River have been conducted within the territory of Ukraine for a long-term period. The water quality of the river on the final values of the integral indicators of the ecological condition corresponded mainly to 4nd category of the 3rd class – the water is “satisfactory” by condition and “little polluted” by degree of purity (except for points of observation that located within the Volyn region, where the water quality corresponded to 3rd category and the 2nd class. It is “good” by condition and “fairly clean” by the degree of purity). Visualization and part of the analysis are performed using GIS technologies in the software of the ArcGIS 10.3.


Author(s):  
Hüseyin Güher ◽  
Burak Öterler ◽  
Belgin Elipek ◽  
Okan Yeler ◽  
Gazel Aydin

K?rklareli Reservoir locating in Meri?-Ergene River Basin is an important drinking/using a freshwater resource of K?rklareli Province. In order to ensure the sustainable use of this important reservoir, its current situation should be examined periodically and evaluated by multivariate analyses. For this reason, the water samples were taken between the dates April 2018 and February 2019 at monthly intervals from 3 different stations. The data of environmental and physicochemical variables (water temperature, dissolved oxygen, pH, salinity, conductivity, total dissolved solids, Chlorophyll-a, light permeability, fluoride, chloride, NO2-N, NO3-N, PO4, SO4, and essential/potentially toxic elements) measured and evaluated according to the classes in surface water quality control regulation of Turkey. The parameters exceeding first-class water quality values (chlorophyll-a, pH, NO2-N, chloride, selenium) were mapped in GIS using Spline integration approach. Also, Sodium Absorbtion Ratio, Kelly Index Values, and Magnesium Ratio, were calculated to evaluate the water quality for agricultural irrigation water standards. The water quality of the reservoir was evaluated by using multivariance analyses (Bray-Curtis Similarity Index, Correspondence Analyses, Pearson Correlation Index). As a result, it was emphasized that using GIS approach is a potential useful method of monitoring the sustainable water quality of K?rklareli reservoir which is determined to have an oligomesotrophic character.


2004 ◽  
Vol 19 (3) ◽  
pp. 413-422 ◽  
Author(s):  
Simon Bottrell ◽  
Jonathan Coulson ◽  
Michael Spence ◽  
Peter Roworth ◽  
Martin Novak ◽  
...  

Author(s):  
Aleksandra Ziemińska-Stolarska ◽  
Mirosław Imbierowicz ◽  
Marcin Jaskulski ◽  
Aleksander Szmidt ◽  
Ireneusz Zbiciński

Keywords: online monitoring; dam reservoir; water quality; multi-parameter probe; eutrophication


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