scholarly journals Uncertainties in selected surface water quality data

2006 ◽  
Vol 3 (5) ◽  
pp. 2991-3021 ◽  
Author(s):  
M. Rode ◽  
U. Suhr
Keyword(s):  
Water Quality ◽  
Particulate Matter ◽  
Surface Water ◽  
Suspended Particulate Matter ◽  
Surface Water Quality ◽  
Quality Data ◽  
Sampling Location ◽  
Water Quality Data ◽  
Suspended Particulate

Abstract. Monitoring of surface waters is primarily done to detect the status and trends in water quality and to identify whether observed trends arise form natural or anthropogenic causes. Empirical quality of surface water quality data is rarely certain and knowledge of their uncertainties is essential to assess the reliability of water quality models and their predictions. The objective of this paper is to assess the uncertainties in selected surface water quality data, i.e. suspended sediment, nitrogen fraction, phosphorus fraction, heavy metals and biological compounds. The methodology used to structure the uncertainty is based on the empirical quality of data and the sources of uncertainty in data (van Loon et al., 2006). A literature review was carried out including additional experimental data of the Elbe river. All data of compounds associated with suspended particulate matter have considerable higher sampling uncertainties than soluble concentrations. This is due to high variability's within the cross section of a given river. This variability is positively correlated with total suspended particulate matter concentrations. Sampling location has also considerable effect on the representativeness of a water sample. These sampling uncertainties are highly site specific. The estimation of uncertainty in sampling can only be achieved by taking at least a proportion of samples in duplicates. Compared to sampling uncertainties measurement and analytical uncertainties are much lower. Instrument quality can be stated well suited for field and laboratory situations for all considered constituents. Analytical errors can contribute considerable to the overall uncertainty of surface water quality data. Temporal autocorrelation of surface water quality data is present but literature on general behaviour of water quality compounds is rare. For meso scale river catchments reasonable yearly dissolved load calculations can be achieved using biweekly sample frequencies. For suspended sediments none of the methods investigated produced very reliable load estimates when weekly concentrations data were used. Uncertainties associated with loads estimates based on infrequent samples will decrease with increasing size of rivers.

scholarly journals Uncertainties in selected river water quality data

2007 ◽  
Vol 11 (2) ◽  
pp. 863-874 ◽  
Author(s):  
M. Rode ◽  
U. Suhr
Keyword(s):  
Water Quality ◽  
Particulate Matter ◽  
River Water ◽  
Suspended Particulate Matter ◽  
River Water Quality ◽  
Quality Data ◽  
Sampling Location ◽  
Water Quality Data ◽  
Suspended Particulate

Abstract. Monitoring of surface waters is primarily done to detect the status and trends in water quality and to identify whether observed trends arise from natural or anthropogenic causes. Empirical quality of river water quality data is rarely certain and knowledge of their uncertainties is essential to assess the reliability of water quality models and their predictions. The objective of this paper is to assess the uncertainties in selected river water quality data, i.e. suspended sediment, nitrogen fraction, phosphorus fraction, heavy metals and biological compounds. The methodology used to structure the uncertainty is based on the empirical quality of data and the sources of uncertainty in data (van Loon et al., 2005). A literature review was carried out including additional experimental data of the Elbe river. All data of compounds associated with suspended particulate matter have considerable higher sampling uncertainties than soluble concentrations. This is due to high variability within the cross section of a given river. This variability is positively correlated with total suspended particulate matter concentrations. Sampling location has also considerable effect on the representativeness of a water sample. These sampling uncertainties are highly site specific. The estimation of uncertainty in sampling can only be achieved by taking at least a proportion of samples in duplicates. Compared to sampling uncertainties, measurement and analytical uncertainties are much lower. Instrument quality can be stated well suited for field and laboratory situations for all considered constituents. Analytical errors can contribute considerably to the overall uncertainty of river water quality data. Temporal autocorrelation of river water quality data is present but literature on general behaviour of water quality compounds is rare. For meso scale river catchments (500–3000 km2) reasonable yearly dissolved load calculations can be achieved using biweekly sample frequencies. For suspended sediments none of the methods investigated produced very reliable load estimates when weekly concentrations data were used. Uncertainties associated with loads estimates based on infrequent samples will decrease with increasing size of rivers.

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.

Spatiotemporal variation of surface water quality for decades: a case study of Huai River System, China

2013 ◽  
Vol 68 (6) ◽  
pp. 1233-1241 ◽  
Author(s):  
Wei Ji ◽  
Dafang Zhuang ◽  
Hongyan Ren ◽  
Dong Jiang ◽  
Yaohuan Huang ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Surface Water Quality ◽  
River System ◽  
Spatiotemporal Variation ◽  
Quality Data ◽  
Main Stream ◽  
Water Quality Data ◽  
Huai River

Characterization of spatiotemporal variation of water quality is a basic environmental issue with implications for public health in China. Trends in the temporal and spatial distribution of water quality in the Huai River System (HRS) were analyzed using yearly surface water quality data collected from 1982 to 2009. Results showed that the water quality of the main stream deteriorated in the 1990s and early 2000s but has been ameliorated since 2005. The sections that were classified as severely polluted from the monitoring data were located largely in the middle reach. The water quality of HRS fluctuated during the period 1997–2009; it has improved and stabilized since 2005. In terms of spatialized frequency of serious pollution, heavily polluted regions were mostly concentrated in the area along several tributaries of the Ying, Guo and New Sui Rivers as well as the area north of Nansi Lake. These regions decreased from 1997 to 2009, especially after 2005. Our analysis indicated that water pollution in HRS had a close relation with population and primary industry during the period 1997–2009, and implied that spatiotemporal variation of surface water quality could provide a scientific foundation for human health risk assessment of the Huai River Basin.

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.

scholarly journals Monitoring surface water quality using social media in the context of citizen science

2017 ◽  
Vol 21 (2) ◽  
pp. 949-961 ◽  
Author(s):  
Hang Zheng ◽  
Yang Hong ◽  
Di Long ◽  
Hua Jing
Keyword(s):  
Water Quality ◽  
Social Media ◽  
Surface Water ◽  
Surface Water Quality ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Quality Data ◽  
Future Research ◽  
Water Quality Data ◽  
Essential Information

Abstract. Surface water quality monitoring (SWQM) provides essential information for water environmental protection. However, SWQM is costly and limited in terms of equipment and sites. The global popularity of social media and intelligent mobile devices with GPS and photography functions allows citizens to monitor surface water quality. This study aims to propose a method for SWQM using social media platforms. Specifically, a WeChat-based application platform is built to collect water quality reports from volunteers, which have been proven valuable for water quality monitoring. The methods for data screening and volunteer recruitment are discussed based on the collected reports. The proposed methods provide a framework for collecting water quality data from citizens and offer a primary foundation for big data analysis in future research.

scholarly journals A influência antrópica na qualidade da água do rio Tapajós, na cidade de Santarém-PA

2021 ◽  
Vol 14 (6) ◽  
pp. 3695
Author(s):  
Christiane Do Nascimento Monte ◽  
Ana Paula De Castro Rodrigues ◽  
Sara Macedo ◽  
Carolina Ramos Régis ◽  
Edinelson Correa Saldanha ◽  
...  
Keyword(s):  
Water Quality ◽  
Particulate Matter ◽  
Suspended Particulate Matter ◽  
Inorganic Phosphorus ◽  
Northern Region ◽  
Social Functions ◽  
Suspended Particulate ◽  
Anthropic Influence ◽  
The City

O Rio Tapajós é uma das maiores bacias hidrográficas da região Norte do país, e o crescimento populacional de algumas cidades amazônicas coloca em risco a qualidade das suas águas. A cidade de Santarém, no Oeste do Pará, é uma das maiores cidades paraenses e não tem uma rede de esgoto eficiente, logo boa parte do esgoto doméstico é lançado in natura em igarapés e no rio Tapajós, o que afeta diretamente a balneabilidade do rio, que é um dos destinos turísticos em ascensão no país, devido às praias de água doce, a qualidade do pescado, que é parte da dieta alimentar da região e pode ser um vetor de doenças, as quais podem aumentar os gastos com a saúde pública. Com o objetivo de avaliar a influência antrópica no rio Tapajós foi realizada uma amostragem em seis pontos do rio na região conhecida como a orla da cidade. Foram analisados parâmetros físico-químicos, biológicos e nutrientes), Apesar de boa parte dos parâmetros estarem em conformidade com a CONAMA 357/05, os parâmetros biológicos foram acima do permitido para a classe II, indicando influência antrópica. Os dados apontaram que a presença de material particulado em suspensão (MPS), coliformes totais e fósforo inorgânico dissolvido (PID), sugerem aumento da degradação da qualidade da água.  O estudo da queda na qualidade de água nos rios amazônicos é importante, pois a relação socioeconômica entre a população e os recursos hídricos é muito importante para a manutenção das funções ambientais, econômicas e sociais na região.   The anthropic influence on the water quality of the Tapajós River, in the city of Santarém-PA A B S T R A C TThe Tapajós River is one of the largest hydrographic basins of the Northern region of the country, and the population growth of some Amazonian cities puts the quality of its waters at risk. The city of Santarém, in western Pará, is one of the largest cities in Pará and does not have an efficient sewage system, so much of the domestic sewage is released in natura into streams and the Tapajós River, which directly affects the balneability of the river, which is one of the tourist destinations on the rise in the country, due to its freshwater beaches, the quality of the fish, which is part of the diet of the region and can be a vector of diseases, which can increase spending on public health. To evaluate the anthropic influence on the Tapajós River, sampling was carried out at six points on the river in the region known as the city edge. Although most of the parameters complied with CONAMA 357/05, the biological parameters were above the permitted for class II, indicating anthropic influence. The data pointed out that the presence of suspended particulate matter (SPM), total coliforms, and dissolved inorganic phosphorus (DIP), suggest increased degradation of water quality.  The study of the decline in water quality in Amazonian rivers is important because the socioeconomic relationship between the population and water resources is very important for the maintenance of environmental, economic, and social functions in the region. Keywords: Tapajós River, sewage, inorganic phosphorus, suspended particulate matter

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