scholarly journals A comparative analysis on water quality in an urban micro watershed

2017 ◽  
Vol 28 (4) ◽  
pp. 566-578 ◽  
Author(s):  
Karen Tavares Zambrano ◽  
Cristiano Poleto ◽  
Jefferson Nascimento Oliveira
Keyword(s):  
Water Quality ◽  
Comparative Analysis ◽  
Quality Parameters ◽  
Quality Data ◽  
Water Quality Data ◽  
Content Type ◽  
Quality Water ◽  
Practical Implications ◽  
Selection Of

Purpose This study presents a comparative analysis of water quality data in an urban micro watershed to study the magnitude of impacts on the water quality parameters over the last decade. The purpose of this paper is to evaluate the degree of deterioration using the water quality index. Design/methodology/approach Rapid urban growth without proper land use and occupation planning results in the overload of urban water resources. Therefore, a literature review was conducted on the research subject published in the dissertation databases of the Engineering Faculty of Ilha Solteira, which resulted in the selection of two dissertations on water quality in the Ipê Stream, Ilha Solteira – SP, Brazil. The results will be evaluated according to the Brazilian laws and regulations in force. Findings This study shows that pollution and degradation in the stream intensified during the study period, with the most impacted areas within the urban perimeter. Practical implications The increasing impacts underscore the need for efficient measures such as implementation of retention reservoirs, elimination of clandestine sewage connections and restoration of riparian forests. Originality/value This study highlights the need to monitor the water quality of streams in order to establish preventive and mitigating measures to avert the growing environmental impacts and to ensure quality water for future generations.

scholarly journals Investigation of water quality from Damanga estuary through the water quality indexing Gujarat

2021 ◽  
Vol 9 (2) ◽  
Author(s):  
Shefaliben Sureshbhai Patel ◽  
Susmita Sahoo
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Anthropogenic Activities ◽  
River Estuary ◽  
Poor Quality ◽  
Quality Parameters ◽  
Quality Data ◽  
Water Quality Data ◽  
Investigation Area

The seasonal investigation about the water quality from Damanganga river estuary on two habitats downstream and upstream was carried out from January to December 2019 containing three major seasons: winter, summer and monsoon. For this monitoring activity total 29 parameters (24 physico-chemical parameters and 5 heavy metals) were analyzed. Multivariate analyses suggested inter dependency among these studied parameters. Water Quality Index is computed based on the major fluctuated and affected parameters. The calculated values of WQI for all three seasons ranged from 122.84 to 173.82 which suggested poor water quality of the water body. WQI values of the investigation area proposed that the estuarine water quality is deteriorated due to high value of presented heavy metals (Aluminum, Iron, Manganese, Boron and Zinc), Chloride, Ammonium and Sulfate in water sample. In this case, the downstream station is having accessional pollutant contaminations while the upstream station is having diminutive pollutant contaminants. Temporally, the dominant frailty found during the winter followed by summer and monsoon. This study field exhibited poor quality of water; the reason behind this might be the impressive surrounding industrial zone as well as other anthropogenic activities. There is quite normal probability distribution expressed by the represented water quality data at the both habitats. The Bray-Curtis cluster analysis shows different percentage similarity level between the water quality parameters.  

INVESTIGATION OF WATER QUALITY FROM DAMANGANGA ESTUARY THROUGH THE WATER QUALITY INDEXING, GUJARAT

2021 ◽  
Author(s):  
Shefaliben Sureshbhai Patel ◽  
Susmita Sahoo
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Anthropogenic Activities ◽  
River Estuary ◽  
Poor Quality ◽  
Quality Parameters ◽  
Quality Data ◽  
Water Quality Data ◽  
Investigation Area

The seasonal investigation about the water quality from Damanganga river estuary on two habitats downstream and upstream was carried out from January to December 2019 containing three major seasons: winter, summer and monsoon. For this monitoring activity total 29 parameters (24 physico-chemical parameters and 5 heavy metals) were analyzed. Multivariate analyses suggested inter dependency among these studied parameters. Water Quality Index is computed based on the major fluctuated and affected parameters. The calculated values of WQI for all three seasons ranged from 122.84 to 173.82 which suggested poor water quality of the water body. WQI values of the investigation area proposed that the estuarine water quality is deteriorated due to high value of presented heavy metals (Aluminum, Iron, Manganese, Boron and Zinc), Chloride, Ammonium and Sulfate in water sample. In this case, the downstream station is having accessional pollutant contaminations while the upstream station is having diminutive pollutant contaminants. Temporally, the dominant frailty found during the winter followed by summer and monsoon. This study field exhibited poor quality of water; the reason behind this might be the impressive surrounding industrial zone as well as other anthropogenic activities. There is quite normal probability distribution expressed by the represented water quality data at the both habitats. The Bray-Curtis cluster analysis shows different percentage similarity level between the water quality parameters.  

scholarly journals Avaliação Preliminar da Presença de Metais Traço, nas Águas do Riacho Mussuré e o Córrego de Mumbaba – João Pessoa – PB (Preliminary Assessment of the Presence of Trace Metals in the Waters of the Stream Mussuré and Creek Mumbaba - João Pessoa)

2014 ◽  
Vol 7 (4) ◽  
pp. 668
Author(s):  
Maria Leonia Pessoa ◽  
Jose Dantas Neto
Keyword(s):  
Water Quality ◽  
Trace Metals ◽  
Industrial Effluent ◽  
Quality Data ◽  
Chemical Parameters ◽  
Preliminary Assessment ◽  
Total Chromium ◽  
Water Quality Data ◽  
Quality Water

Este estudo teve como objetivo analisar a qualidade da água do córrego Mumbaba e o riacho Mussuré por meios de parâmetros físico-químicos; dando ênfase a presença de concentração de metais pesados nas águas, a fim de fornecer subsídios aos gestores ambientais na tomada de decisões. Para tanto, delimitou-se como área de estudo a bacia do riacho Mussuré, que está inserida na bacia do rio Gramame, no estado da Paraíba. E o Córrego localizado na comunidade Mumbaba no sudoeste do Município de João Pessoa – PB. Cinco pontos amostrais foram estabelecidos e as variáveis medidas foram temperatura, pH, condutividade elétrica, turbidez, oxigênio dissolvido, nitrato, nitrito, nitrogênio amoniacal e fósforo. Foram constatadas diversas alterações na qualidade da água do riacho Mussuré e o córrego, ao longo de todo seu curso. Os teores de OD estavam muito abaixo do limite estabelecido pela Resolução 357/05 para a classe 3 (4,0 mgL-1), nas cinco estações monitoradas. A estação situada aproximadamente na metade do curso do riacho apresentou os maiores valores de turbidez, e a pior qualidade da água através do uso dos dois índices citados, fato que se deve ao lançamento de efluentes industriais a montante desta estação. Com relação aos metais, as concentrações de cromo total, chumbo, níquel, cádmio, cobre e mercúrio em todos os pontos analisados permaneceram abaixo do limite estabelecido pela resolução nº 357/2005 do CONAMA. Pelos resultados encontrados conclui-se que o riacho Mussuré, e o córrego apresenta alto grau de degradação e suas águas representam um risco para a saúde da população usuária.  Preliminary Assessment of the Presence of Trace Metals in the Waters of the Stream Mussuré and Creek Mumbaba - João Pessoa A B S T R A C T The aim of this work was to evaluate the water quality of the stream Mussuré and creek Mumbaba by means of physico-chemical parameters: emphasizing the presence of heavy metals concentration in water in order to provide information to environmental managers in making decisions. So, we delineated the study area as the basin of the creek Mussuré , which is embedded in the Gramame River basin in the state of Paraíba . And the community Mumbaba located in the southwest of the city of João Pessoa - PB . The methodology consisted in the analysis of water quality data . The data relating to physical , chemical parameters were analyzed over five sampling stations . Several changes were observed in the water quality of the stream and creek Mussuré , throughout its course . The levels of DO were well below the limit established by CONAMA Resolution 357 / 05 for Class 3 ( 4.0 mg / L ) in five stations monitored . The station located about halfway through the course of the creek had the highest turbidity values ​​, and the lowest water quality through the use of two indices mentioned, a fact that is due to industrial effluent discharge upstream of this station . As for metals, concentrations of total chromium, lead, nickel and copper in the stream Mussuré station (MS01A) showed values above the limit established by CONAMA Resolution 357/2005. The results it is concluded that the creek Mussuré , and the stream has a high degree of degradation and its waters pose a risk to the health of the user population . Keywords: water quality, water pollution, environmental impacts, Industrial core

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

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.

scholarly journals A comparative analysis of the effects of landfills on water quality: a case study of two locations in New Jersey

2019 ◽  
Vol 4 (2) ◽  
pp. 9-13
Author(s):  
Casilda Saavedra
Keyword(s):  
Water Quality ◽  
New Jersey ◽  
Comparative Analysis ◽  
Inorganic Material ◽  
Quality Data ◽  
Water Quality Data ◽  
Quality Of Water ◽  
The Town

Leachate is a liquid generated by mixing of water with organic and inorganic material found in landfills. This liquid accumulates at the bottom of the landfill and has the potential to percolate through the soil to enter groundwater or other water bodies. Leachate contains various contaminants and toxins that can significantly diminish the quality of water it enters, which can become hazardous to humans and the environment. In this article, the water quality of two towns: Egg Harbor and Middle Township, New Jersey were analyzed and compared. Egg Harbor Township has a landfill located within the town, while the closest landfill to Middle Township is approximately 10 miles away. Water supply for both towns comes from the same aquifer, known as the Kirkwood-Cohansey water table system. The water quality results from community wells within Egg Harbor Township were compared to those of Middle Township. Water quality data for this study is from New Jersey American Water database. Based on the results, the water quality of Egg Harbor Township varies significantly from Middle Township. The levels of contaminants in Egg Harbor Township are much higher compared to Middle Township. Therefore, it can be concluded that communities near landfills, even well monitored and managed ones, are prone to have poorer water quality than those farther away from the landfill.

scholarly journals Mapping of use and occupation of the soil and irrigation water quality in the city of Salto do Lontra-Paraná, Brazil

2013 ◽  
Vol 33 (5) ◽  
pp. 1024-1037 ◽  
Author(s):  
Suzana C. Wrublack ◽  
Erivelto Mercante ◽  
Marcio A. Vilas Boas
Keyword(s):  
Water Quality ◽  
Irrigation Water ◽  
Bare Soil ◽  
Quality Parameters ◽  
Quality Data ◽  
Irrigation Water Quality ◽  
Water Quality Data ◽  
Thermotolerant Coliforms ◽  
Quality Of Irrigation Water

The objective of this study consisted on mapping the use and soil occupation and evaluation of the quality of irrigation water used in Salto do Lontra, in the state of Paraná, Brazil. Images of the satellite SPOT-5 were used to perform the supervised classification of the Maximum Likelihood algorithm - MAXVER, and the water quality parameters analyzed were pH, EC, HCO3-, Cl-, PO4(3-), NO3-, turbidity, temperature and thermotolerant coliforms in two distinct rainfall periods. The water quality data were subjected to statistical analysis by the techniques of PCA and FA, to identify the most relevant variables in assessing the quality of irrigation water. The characterization of soil use and occupation by the classifier MAXVER allowed the identification of the following classes: crops, bare soil/stubble, forests and urban area. The PCA technique applied to irrigation water quality data explained 53.27% of the variation in water quality among the sampled points. Nitrate, thermotolerant coliforms, temperature, electrical conductivity and bicarbonate were the parameters that best explained the spatial variation of water quality.

scholarly journals Sedimentation and Its Impacts/Effects on River System and Reservoir Water Quality: case Study of Mazowe Catchment, Zimbabwe

2018 ◽  
Vol 377 ◽  
pp. 57-66 ◽  
Author(s):  
Colleta Tundu ◽  
Michael James Tumbare ◽  
Jean-Marie Kileshye Onema
Keyword(s):  
Water Quality ◽  
Sediment Yield ◽  
Soil Loss ◽  
Quality Parameters ◽  
Water Sources ◽  
Water Quality Parameters ◽  
Quality Data ◽  
Water Quality Data ◽  
Quality Of Water

Abstract. Sediment delivery into water sources and bodies results in the reduction of water quantity and quality, increasing costs of water purification whilst reducing the available water for various other uses. The paper gives an analysis of sedimentation in one of Zimbabwe's seven rivers, the Mazowe Catchment, and its impact on water quality. The Revised Universal Soil Loss Equation (RUSLE) model was used to compute soil lost from the catchment as a result of soil erosion. The model was used in conjunction with GIS remotely sensed data and limited ground observations. The estimated annual soil loss in the catchment indicates soil loss ranging from 0 to 65 t ha yr−1. Bathymetric survey at Chimhanda Dam showed that the capacity of the dam had reduced by 39 % as a result of sedimentation and the annual sediment deposition into Chimhanda Dam was estimated to be 330 t with a specific yield of 226 t km−2 yr−1. Relationship between selected water quality parameters, TSS, DO, NO3, pH, TDS, turbidity and sediment yield for selected water sampling points and Chimhanda Dam was analyzed. It was established that there is a strong positive relationship between the sediment yield and the water quality parameters. Sediment yield showed high positive correlation with turbidity (0.63) and TDS (0.64). Water quality data from Chimhanda treatment plant water works revealed that the quality of water is deteriorating as a result of increase in sediment accumulation in the dam. The study concluded that sedimentation can affect the water quality of water sources.

Assessement of Water Quality Parameters in Some Potential Pollutant Areas from Romania

2018 ◽  
Vol 69 (8) ◽  
pp. 2045-2049
Author(s):  
Catalina Gabriela Gheorghe ◽  
Andreea Bondarev ◽  
Ion Onutu
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Surface Water Quality ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Quality Data ◽  
Chemical Parameters ◽  
Water Quality Data ◽  
Pollutant Sources ◽  
Water Quality Forecasting

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.

Making Sense of Water Quality: Multispecies Encounters on the Mystic River

2013 ◽  
Vol 17 (2) ◽  
pp. 150-160 ◽  
Author(s):  
Caterina Scaramelli
Keyword(s):  
Water Quality ◽  
Laboratory Data ◽  
Quality Data ◽  
Human Beings ◽  
Water Lily ◽  
Water Quality Data ◽  
Water Flows ◽  
Making Sense ◽  
Quality Of Water

This paper takes water quality as an ethnographic subject. It looks at how water quality monitors in Boston make sense of the quality of water through mundane engagement with three non-human beings who they encounter during their monitoring activities: herring, bacteria and water lily. Each of these organisms suggests a different understanding of water quality for the monitors and poses a dilemma. Water quality monitors who contribute to the production of water quality data come to know water quality as through direct interactions with these beings, mediated by both sensorial experience and laboratory data. These experiences, at the same time, confuse and redraw relationships between science, water flows, non-human vitality, including that of invasive species, and people.

scholarly journals Nutrient water quality of the Wye catchment, UK: exploring patterns and fluxes using the Environment Agency data archives

2003 ◽  
Vol 7 (5) ◽  
pp. 722-743 ◽  
Author(s):  
H. P. Jarvie ◽  
C. Neal ◽  
P. J. A. Withers ◽  
A. Robinson ◽  
N. Salter
Keyword(s):  
Water Quality ◽  
Sewage Treatment ◽  
Quality Data ◽  
Agricultural Activity ◽  
Spatial And Temporal Variability ◽  
Water Quality Data ◽  
Climatic Fluctuations ◽  
Mass Load ◽  
Environment Agency

Abstract. Water quality data, collected by the Environment Agency in England and Wales over 10 years (1991 – 2000) were used to examine the spatial distribution of nutrient pollution risk and for assessing broad-scale spatial and temporal variability in nutrient fluxes across the Wye catchment. Nutrient water quality across the upper and middle Wye catchment, and along the main River Wye, is generally very good. However, the main areas of concern lie in the small tributaries in the south and east of the catchment, which have lower dilution capacity and high agricultural and effluent inputs, and where mean Total Reactive Phosphorus (TRP) in some cases exceed 1 mg-P l-1. Indeed, mass load calculations have demonstrated that the lowland south and east portion of the catchment contributes more than 85% of the whole-catchment TRP and more than 78% of nitrate (NO3‾) loads. Ratios of NO3‾:Ca were used to fingerprint different water-types across the catchment, linked to weathering and agricultural activity. The Wye catchment has been subject to two major sets of perturbations during the study period: (i) climatic fluctuations, with a drought during 1995-6, followed by a subsequent drought-break in 1997/8, and extreme high river flows in the autumn/winter of 2000/2001, and (ii) introduction of tertiary P-treatment at major sewage treatment works in the catchment. The implications of these perturbations for the nutrient water quality of the Wye catchment are discussed. Recommendations are made for more targeted monitoring to directly assess diffuse source nutrient contributions. Keywords: nutrients, phosphate, phosphorus, nitrate, nitrogen, river, Wye, PSYCHIC, Defra

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