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 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 STATUS MUTU DAERAH PENAMBANGAN PASIR DI PERAIRAN SUNGAI SERAYU DENGAN MENGGUNAKAN METODE STORET

INFO-TEKNIK ◽  
2018 ◽  
Vol 19 (2) ◽  
pp. 155
Author(s):  
Nurlinda Ayu Triwuri ◽  
Murni Handayani ◽  
Rosita Dwityaningsih
Keyword(s):  
Water Quality ◽  
River Water ◽  
Good Condition ◽  
River Water Quality ◽  
Quality Data ◽  
Quality Level ◽  
Sand Mining ◽  
Water Quality Data ◽  
Group D

The quality of river water is strongly related to human activities in it. Changesin the condition of water quality in the river flow are the effects of the dischargefrom existing land use. One of them is sand mining activities along the SerayuRiver, especially around Tumiyang, Kebasen, Banyumas Regency. Activitiesfrom sand mining will cause a decrease in river water quality. From this activity,it is necessary to study the status of water quality using the STORET method todetermine the quality of river water so that the river can be utilized in accordancewith the applicable designation.The STORET method is one method for determining water quality data withwater quality standards in accordance with the appointment of Minister ofEnvironment Decree No.115 2003. This research is a quantitative descriptivestudy to determine the water quality of the Serayu river in the sand of miningareas precisely in Banyumas Regency. The parameters measured in this studywere measurements of Total Disolved Solid (TDS), temperature, pH, andElectrical Conductivity. Determining the location of taking water using apurposive sampling method.Based on the results of data analysis using the Storet method and refers to thequality standards of Government Regulation No.20 of 1990 Group D. Waterquality in Serayu River has a total score of 9 after sand mining. This shows thequality status of the lightly polluted Serayu river (-1 to -10). But still in class Band the river water quality level is still in good condition. There are temperatureparameters that exceed the threshold of 25 - 32oC, but the TDS, DHL and pHparameters are still within the threshold of designation in Group D.

scholarly journals Investigation of the Soan River Water Quality Using Multivariate Statistical Approach

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Zakaullah ◽  
Naeem Ejaz
Keyword(s):  
Water Quality ◽  
River Water ◽  
Water Quality Management ◽  
Oxygen Demand ◽  
River Water Quality ◽  
Quality Data ◽  
Spatiotemporal Pattern ◽  
Multivariate Statistical ◽  
Water Quality Data

Evaluating the quality of river water is a critical process due to pollution and variations of natural or anthropogenic origin. For the Soan River (Pakistan), seven sampling sites were selected in the urban area of Rawalpindi/Islamabad, and 18 major chemical parameters were examined over two seasons, i.e., premonsoon and postmonsoon 2019. Multivariate statistical approaches such as the Spearman correlation coefficient, cluster analysis (CA), and principal component analysis (PCA) were used to evaluate the water quality of the Soan River based on temporal and spatial patterns. Analytical results obtained by PCA show that 92.46% of the total variation in the premonsoon season and 93.11% in the postmonsoon season were observed by only two loading factors in both seasons. The PCA and CA made it possible to extract and recognize the origins of the factors responsible for water quality variations during the year 2019. The sampling stations were grouped into specific clusters on the basis of the spatiotemporal pattern of water quality data. The parameters dissolved oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD), turbidity, and total suspended solids (TSS) are among the prominent contributing variations in water quality, indicating that the water quality of the Soan River deteriorates gradually as it passes through the urban areas, receiving domestic and industrial wastewater from the outfalls. This study indicates that the adopted methodology can be utilized effectively for effective river water quality management.

scholarly journals Classification and Risk-Mapping of River Water Quality in Surabaya with Semantic Visualitzation

2019 ◽  
Vol 7 (2) ◽  
Author(s):  
Taufan Radias Miko ◽  
Tri Harsono ◽  
Aliridho Barakbah
Keyword(s):  
Water Quality ◽  
River Water ◽  
River Water Quality ◽  
Risk Mapping ◽  
Quality Data ◽  
Household Waste ◽  
Polluted Water ◽  
Measuring Instruments ◽  
Water Quality Data

River water pollution is one of the environmental problems that occur in Surabaya. The amount of industrial waste and household waste makes Surabaya River water easily polluted every day, besides that there are also many people who are not aware about the quality of river water in Surabaya. In this paper, we present a new system to classify water quality of river in surabaya. The system involve a semantic visualization of risk-mapping for the river, so that the people of Surabaya are easier to get information about the quality of Surabaya River water. In this paper, we measured the water quality of Surabaya River using Horiba sensor measuring instruments using 5 parameters, namely temperature, PH, DO, Turbidity, TDS. These five parameters are input variables for calculating water quality with the methods applied in this research. We use the Storet Method to determine the quality of Surabaya River water. The results of the Storet Method explained that there were 0.03% of the data on lightly polluted water quality and there were 37.41% of the data being moderately polluted and there were 59.29% of the data heavily polluted. The results of the calculation using the Storet method concluded that the condition of Surabaya River water quality was not good. We also apply the rule of the Storet Method to the Neural Network by using Surabaya River water quality data as learning data and gave performance 70.02% accuracy.

scholarly journals Water quality in Cidurian watershed, Indonesia

2021 ◽  
Vol 306 ◽  
pp. 04009
Author(s):  
Rahmah Dewi Yustika ◽  
Ratri Ariani
Keyword(s):  
Water Quality ◽  
River Water ◽  
Oxygen Demand ◽  
Quality Standard ◽  
River Water Quality ◽  
Quality Data ◽  
Sampling Location ◽  
Water Quality Data ◽  
Main River ◽  
Middle Stream

Studies about river water quality are essential since the decreasing of water quality could threaten hydrology watershed function. The objective of this study was to identify water quality in rainy and dry seasons of Cidurian watershed. Water quality data were obtained from Main River Basin Organization Territory Cidanau – Ciujung – Cidurian for 2018 and 2019. The parameters of water quality consist of total suspended solids (TSS), pH, dissolved oxygen (DO), chemical oxygen demand (COD), biochemical oxygen demand (BOD), phosphate (PO4), nitrite (NO2 – N), electrical conductivity (EC), temperature, Ca, and Mg. Water sampling location were in Jasinga (upstream), Neglasari (middle stream), Rancasumur (middle stream), and Tanara (downstream). The result showed that TSS concentration showed higher in rainy season than dry season in all sampling points with values higher than river water quality standard 50 mg/L. Therefore, need attention to adopt soil conservation practices in mixed tree crops, dry cultivation land, and crop plantation to decrease soil erosion. Downstream had values of pH, DO, COD, and BOD outside of water quality standards. Accordingly, government should issue some policies to protect from decreasing water quality. The information on river water quality in Cidurian watershed could support better watershed management for sustainable hydrology watershed function.

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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