A Visual Physical-Chemical Parameters Analysis Approach for Evaluating the Influence of Port Facilities in Surface Water Quality

Monitoring of environmental factors allows the achievement of some important objectives regarding water quality, forecasting, warning and intervention. The aim of this paper is to investigate water quality parameters in some potential pollutant sources from northern, southern and east-southern areas of Romania. Surface water quality data for some selected chemical parameters were collected and analyzed at different points from March to May 2017.

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Spatio-Temporal Analysis of Surface Water Quality in Mokopane Area, Limpopo, South Africa

Water ◽

10.3390/w13020220 ◽

2021 ◽

Vol 13 (2) ◽

pp. 220

Author(s):

Mmasabata Dolly Molekoa ◽

Ram Avtar ◽

Pankaj Kumar ◽

Huynh Vuong Thu Minh ◽

Rajarshi Dasgupta ◽

...

Keyword(s):

South Africa ◽

Water Quality ◽

Heavy Metal ◽

Land Use ◽

Surface Water ◽

Water Samples ◽

Surface Water Quality ◽

Quality Data ◽

Chemical Parameters ◽

Physico Chemical

Considering the well-documented impacts of land-use change on water resources and the rapid land-use conversions occurring throughout Africa, in this study, we conducted a spatiotemporal analysis of surface water quality and its relation with the land use and land cover (LULC) pattern in Mokopane, Limpopo province of South Africa. Various physico-chemical parameters were analyzed for surface water samples collected from five sampling locations from 2016 to 2020. Time-series analysis of key surface water quality parameters was performed to identify the essential hydrological processes governing water quality. The analyzed water quality data were also used to calculate the heavy metal pollution index (HPI), heavy metal evaluation index (HEI) and weighted water quality index (WQI). Also, the spatial trend of water quality is compared with LULC changes from 2015 to 2020. Results revealed that the concentration of most of the physico-chemical parameters in the water samples was beyond the World Health Organization (WHO) adopted permissible limit, except for a few parameters in some locations. Based on the calculated values of HPI and HEI, water quality samples were categorized as low to moderately polluted water bodies, whereas all water samples fell under the poor category (>100) and beyond based on the calculated WQI. Looking precisely at the water quality’s temporal trend, it is found that most of the sampling shows a deteriorating trend from 2016 to 2019. However, the year 2020 shows a slightly improving trend on water quality, which can be justified by lowering human activities during the lockdown period imposed by COVID-19. Land use has a significant relationship with surface water quality, and it was evident that built-up land had a more significant negative impact on water quality than the other land use classes. Both natural processes (rock weathering) and anthropogenic activities (wastewater discharge, industrial activities etc.) were found to be playing a vital role in water quality evolution. This study suggests that continuous assessment and monitoring of the spatial and temporal variability of water quality in Limpopo is important to control pollution and health safety in the future.

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Interpretation of the results of surface water quality applying multivariate analysis

Hemijska industrija ◽

10.2298/hemind131016015m ◽

2015 ◽

Vol 69 (1) ◽

pp. 29-36 ◽

Cited By ~ 2

Author(s):

Borko Matijevic ◽

Djendji Vastag ◽

Milena Becelic-Tomin ◽

Bozo Dalmacija ◽

Suzana Apostolov

Keyword(s):

Water Quality ◽

Statistical Analysis ◽

Surface Water ◽

Ecological Status ◽

Surface Water Quality ◽

Water Bodies ◽

Chemical Parameters ◽

Multivariate Statistical ◽

Surface Water Bodies ◽

The Given

Monitoring of surface water, through the analysis of physical-chemical and chemical parameters is a very important factor in the control of water quality and the health of living beings. Surface water quality is largely determined by the nature (atmospherics) and anthropogenic processes (discharge of municipal and industrial waste water). The results of monitoring of surface water are usually too expensive and difficult for correct interpreting, due to the spatial and temporal variations in water quality. By applying Multivariate statistical analysis can achieve significant reductions of the ampleness of the available data and the better interpretation of the obtained results about the quality and ecological status/potential of water. In this paper, were analyzed selected results of the analysis of surface water in AP Vojvodina in 2011 year by using multivariate statistical analysis (cluster analysis and principal components analysis). These techniques allow the interpretation of the results of the monitoring program of investigated surface water bodies and simultaneous identification of registered influence and potential sources of pollution on the quality of the given water bodies. With both methods applied and the division of water bodies tested in the same manner at the origin (natural and artificial) and on the basis of territorial belonging monitoring stations (Banat and Backa). Individual variations are discussed in corresponding differences in individual measuring stations in relation to others. Application of the given method, a grouping of the examined indicators of water quality in the following factors: hydro-chemical factor, ecological factor, the factor point pollution and diffusion. The obtained results confirm the initial hypothesis that the use of different statistical methods can identify the main factors that have an impact on the ecological status and ecological potential of water bodies and to improve the existing monitoring. In addition, analysis of the extracted surface water bodies where it is necessary to implement simultaneous monitoring of the biological quality elements to determine whether chemical parameters ensure the functioning of ecosystems.

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Effects of Hydrochemistry of Urban Runoff in Surface Water Quality in Enugu Urban Area, Enugu State, South-East Nigeria.

10.36265/rejoen.2018.01012 ◽

2018 ◽

pp. 7-20

Author(s):

Obuka E.N. ◽

Okwu-delunzu V.U. ◽

Chukwu K.

Keyword(s):

Water Quality ◽

Surface Water ◽

Urban Area ◽

Water Samples ◽

Surface Water Quality ◽

Urban Runoff ◽

Chemical Characteristic ◽

Anthropogenic Factors ◽

Human Populations ◽

Physical Chemical

Bacterial contamination of water and its associated human health problems are of concern to most people because surface water diseases have troubled human populations for centuries. The aim of this research is to determine the effects of hydrochemistry of urban runoff on surface water quality in Enugu urban area. The water samples were collected from six major rivers in the study area (Ekulu, Asata, Aria, Idaw, Ayo and Ogbete river) with 13 stations of runoff measurement in Enugu urban area. Physico-chemical data was collected by dividing the basin into 13 sub-catchments areas and these were confined mainly within the existing layout. The water samples collected from various strategic points from the study area were analyzed through laboratory tests. The first layer consists of Physical, chemical, and microbiological parameter. These were summarized and imported for statistical analysis and data processing. The result shows that rivers in the study area were highly polluted. The average quantity of Faecal Coliform in Enugu urban River was 17066.67cfu, and average Total Coliform pollution 25400 cfu. These changes were as a result of human and animal excreta flushed into surface water via runoff. The study noted that the physical, chemical and microbiological parameter of the basin, as well as geographical dispositions, combined with anthropogenic factors, are strong causative factors of runoff which causes pollution in surface water quality in the study area. Physio-chemical characteristic shows the hydrochemistry properties of runoff and the extent of pollution in surface water in the study area. The work recommends that there should be effective enforcement of legislation and improve in construction of modernize drainage channel which will collect discharge instead of channelling waste to rivers.

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Assessment of Water Quality of Brahmani River using Correlation and Regression Analysis

10.20944/preprints202003.0088.v1 ◽

2020 ◽

Author(s):

Saroj Nayak

Keyword(s):

Water Quality ◽

Surface Water ◽

Correlation Coefficient ◽

Surface Water Quality ◽

Quality Parameters ◽

Water Quality Parameters ◽

Quality Data ◽

Chemical Parameters ◽

Water Quality Data

This work evaluates the surface water quality in terms of physico-chemical parameters of the Brahmani River, Odisha using statistical analysis involving the calculation of correlation coefficient and regression equation. Besides this, the work also highlights and draws attention towards the “Water Quality Index” in a simplified format which may be used at large and could represent the reliable picture of water quality. Surface water quality data is taken from OSPCB of various location i.e. Panposh D/S, Rourkela D/S, Rengali, Talcher U/S, Kamalanga D/S, Bhuban, Pattamundai and was assessed for summer, monsoon, winter for the years 2011, 2012, 2013, 2014 and 2015. Average of values, minimum of values and maximum of values of water quality parameters were obtained seasonally over the above mentioned years. Besides this, the standard deviation for the water quality parameters was also obtained for water quality parameters namely pH, Temperature, DO, TDS, Alkalinity, EC, Na+, Ca2+, Mg2+, K+, F-, Cl-, NO3-, SO42- and PO42-. Seasonal changes in various physical and chemical parameters were analysed.The values obtained were compared with the guideline values for drinking water by Bureau of Indian Standard (BIS). A systematic correlation and regression study is carried out for three seasons, showed linear relationship among different water quality parameters. This provides an easy and rapid method of monitoring water quality. Highly significant (0.8< r <1.0), moderately significant (0.6< r <0.8) and significant (0.5< r <0.6) correlations between the parameters have been worked out. High correlation coefficient has been observed between TDS,EC-Na+, Ca2+, Cl-, SO42- ; Na+- Cl-. From the collected quantities, certain parameters were selected to derive WQI for the variations in water quality of each designated sampling site. WQI of Brahmani River ranged from 36.7 to 44.1 which falls in the range of good quality of water.Panposh D/S and Rourkela D/S showed poor water quality in summer and winter season. It is shown that WQI may be a useful tool for assessing water quality and predicting trend of variation in water quality at differentlocations in the Brahmani River.

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CARACTERIZAÇÃO DA QUALIDADE DAS ÁGUAS SUPERFICIAIS DA MICROBACIA DO CÓRREGO DA ARARA EM SANDOVALINA –SP

Colloquium Exactarum ◽

10.5747/ce.2018.v10.n3.e240 ◽

2018 ◽

Vol 10 (3) ◽

pp. 01-08

Author(s):

Noemi de Oliveira Dias ◽

Aline Targino da Silva ◽

Elson Mendonça Felici ◽

Nelissa Garcia Balarim ◽

Yeda Ruiz Maria

Keyword(s):

Water Quality ◽

Surface Water ◽

Surface Water Quality ◽

Water Bodies ◽

Physical Chemical

The present study aimed to characterize the surface water quality of the Arara Stream microbasin located in the municipality of Sandovalina -SP. To reach the proposed objective, physical-chemical analyzes of the water collected in four sections of the stream were performed. In all nine parameters were analyzed. The results were compared to the values determined by Conama Resolution No. 357/05 for water bodies classified as Class 2. The values obtained for phosphorus and pH showed that these parameters are in disagreement with the aforementioned resolution, and the pH has values below and phosphorus has concentrations above those set by resolution.

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