scholarly journals Analisis kelimpahan E.coli dan bakteri Patogen sebagai indikator penurunan kualitas perairan pada budidaya keramba apung ikan patin desa Buluh Cina Kabupaten Kampar

Jurnal Zona ◽  
2017 ◽  
Vol 1 (1) ◽  
pp. 9-19
Author(s):  
Mumin Rifai ◽  
Zulkarnaini Zulkarnaini ◽  
Sofyan Husein Siregar
Keyword(s):  
Water Quality ◽  
River Water ◽  
Pathogenic Bacteria ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Significant Variable ◽  
Water Stream ◽  
E Coli ◽  
Average Value

The research on Escherichia coli (E. coli) and bacterial pathogens within catfish culture in Buluh Cina Village has been done in August 2015. This study aimed to analyze the quality  of the river water, the abundance of E.coli in the water stream and pathogenic bacteria in catfish and to correlate the quality of the water with an abundance of E. coli and the prevalence of pathogenic bacteria. The location of the study is three observation stations with sampling conducted by three replications. The water quality parameters under investigation were temperature, brightness, pH, DO, Nitrate, Nitrite, Ammonia, Phosphate, TSS and BOD while the indicator for microbiological contamination  is done by testing the abundance  of E. coli in the river water as well as the pathogenic bacteria in catfish. The results  of water quality measurements and testing of E. coli indicate the water quality is still good  with the standard required under Regulation No 82/2001 except ammonia, phosphates, nitrites and E. coli. Ammonia has exceeded the threshold value with the  average  from 0.018 to 0.059 mg/L, the phosphate on the average value of 4,921 to 9,804 mg/L, nitrite  in the average value from 0.015 to 0.068 mg/L and the abundance of E. coli on the value of the average 4,200-5,500 cfu / 100 ml. While the results of testing on pathogenic bacteria found in catfish are Aeromonas sp, Pseudomonas sp, Pasteurella sp and  Edwardsiella sp. The highest prevalence of pathogenic bacteria obtained in Aeromonas sp is equal to 29.63%. In the statistical test toward  chemical parameters of water  measured affects  the abundance of E. coli by 94%. The most significant variable on the water quality parameters affecting the abundance of E. coli is the temperature, TSS, pH, and DO with a correlation coefficient 0.5.

Effects of Two Types of Landfills on River Water Quality and Endocrine Disruptor Concentrations Before and After Rainfall in a Subtropical Climate

2009 ◽  
Vol 44 (4) ◽  
pp. 355-363 ◽  
Author(s):  
Chia-Wei Lin ◽  
Mei-Hui Li
Keyword(s):  
Water Quality ◽  
River Water ◽  
Quality Parameters ◽  
River Water Quality ◽  
Water Quality Parameters ◽  
Sanitary Landfill ◽  
Garbage Dump ◽  
Before And After ◽  
Dilution Effects

Abstract One closed uncontrolled landfill, the Neihu garbage dump, and one active controlled landfill, the Sanzhuku sanitary landfill, were selected for investigation of their leachate characteristics and effects on adjacent river water quality before and after rainfall in northern Taiwan. A total of seven samplings were made during February and June 2007, with four samplings done after individual rainfall events on study sites. Water quality of runoff samples collected from the Sanzhuku sanitary landfill showed less pollution than the water quality of leachates collected from the Neihu garbage dump; however, some water quality levels of leachate samples collected from the Neihu garbage dump were relatively high, such as ammonia nitrogen (NH3-N), orthophosphate (PO43-) and biochemical oxygen demand (BOD5). At the uncontrolled dump, rainfall lead to dilution effects on river water NH3-N and PO43- concentrations, but not other water quality parameters. In contrast, the concentrations of bisphenol A (BPA) and nonylphenol were increased in both types of landfills after rainfall in the present study. Dilution effects of rainfall on most water quality parameters and toxicity tests were observed in the Neihu garbage dump leachates after rainfall, but not for the Sanzhuku Landfill runoff. The highest concentration of BPA measured in this study was 25.8 μg L-1 in the Sanzhuku sanitary landfill runoff after the heaviest rainfall event, during which 236 mm of rainfall accumulated over four days. The results of this study suggest that both uncontrolled and controlled landfill leachates can be an important potential pollution source of BPA to adjacent water bodies.

scholarly journals Water Quality Assessment of Surface and Groundwater Sources Using a Water Quality Index Method: A Case Study of a Peri-Urban Town in Southwest, Nigeria

Environments ◽  
2019 ◽  
Vol 6 (2) ◽  
pp. 23 ◽  
Author(s):  
Samuel Olasoji ◽  
Nather Oyewole ◽  
Bayode Abiola ◽  
Joshua Edokpayi
Keyword(s):  
Water Quality ◽  
Water Samples ◽  
Water Quality Index ◽  
Quality Index ◽  
Quality Parameters ◽  
Faecal Coliform ◽  
Water Quality Parameters ◽  
Treated Water ◽  
E Coli

Sustainable access to safe drinking water remains a global problem as more people in the world still consume water from unimproved sources. This study was carried out to evaluate the quality of 12 different water sources and 2 treated water used by a peri-urban town in the Southwest region of Nigeria to assess their suitability for drinking and domestic use. Water quality parameters studied include pH, temperature, acidity, total alkalinity, chloride content and total CO2. A Flame Atomic Absorption spectrophotometer was used to determine the concentrations of Ca, Mg, Cu, Cr, and Pb in the water samples. The total coliform was determined using the most probable number technique while a qualitative method was used to detect the presence of faecal coliform and E. coli in the water samples. All the physicochemical water quality parameters complied with regulatory standards. Similarly, most of the heavy metals also complied except for some sites. Faecal coliform and E. coli tested positive for all the samples except one of the tap water sample. Majority of the water samples (86%) were rated as excellent based on the physicochemical parameters. One sample each was rated as having poor and good water quality, respectively. All the samples tested positive for faecal coliform bacteria and E. coli except one (treated water). It is recommended that Microbial water quality parameters be included in all Water Quality Index (WQI) analyses in order to give the true status of the quality of a water resource.

scholarly journals Determining the Amount of Sanitary Water Flow from Dams based on the Quality of Drinking Water

2020 ◽  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
River Water ◽  
Water Flow ◽  
River Flow ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Surface Method ◽  
Annual Discharge

Introduction: Given the crisis of water shortage and the industrial development in Iran, comprehensive water-resource management, planning, and serious handling of water quality of the rivers in Iran are the critical issues to tackle with. The concentration of river pollutants is a function of both the quantity and quality of the river flow regime. In this regard, the construction of large dams leads to quantitative and qualitative changes in downstream rivers. These changes are effective in the health of the river environment for such uses as drinking, agriculture, and industry. Accordingly, it is essential to consider the quality of river water in addition to the amount of river water needs. Materials and Methods: This study examined a 22-km long section of the river at the riffle of Taleghan Dam in Alborz Province (103 km from Karaj), Iran. The average annual and monthly discharges of the river in four 6-km-apart stations were estimated. The statistics of eight hydrometric stations and a discharge-surface method were used to calculate the average annual discharge of each sub-basin downstream of Taleghan Dam. Moreover, the discharge non-dimensionalization method, along with the observational statistics of the index station, was used to calculate the average monthly discharge in the examined stations. The Hydrologic Engineering Centers River Analysis System (RAS-HEC) software was then utilized to determine the values ​​of river flow rates hydraulically. Additionally, water quality parameters were compared with the standard concentrations proposed by the World Health Organization (WHO) for drinking-water quality to examine possible changes in pollutant concentrations during the study. Correlation and regression statistical tests in SPSS software (version 24) were then used to analyze the relationship between discharge and pollutant concentration. Results: The experimental equation of Q = 0.0372A0.8641 was obtained to estimate the discharge based on the sub-basins area using the discharge-surface method. The average annual discharge at stations 2, 3, and 4 (B, C, and D) were estimated at 1.39, 2.11, and 3.39 m3/s, respectively, using this equation. Subsequently, the average monthly discharges in the studied stations in September were calculated at 0.21, 0.29, and 0.46 m3/s, respectively. Afterward, the discharge was measured using HEC-RAS software in the same month at 0.34, 0.44, 0, and 0.62 m3/s, respectively. The examination of water quality values from ​​among the 17 water quality parameters revealed that physicochemical elements, pH concentration, lead (Pb), and electrical conductivity were higher than the standard concentration of drinking water proposed by the WHO. Conclusion: A model was presented to estimate sanitary water flow by performing correlation tests and linear regression calculations between the river discharge at the dam downstream and the concentration of water quality parameters. According to the proposed model, the minimum flow of sanitary water was estimated at 1.82 m3/s to be considered to release from the dam in the driest month of the year. Therefore, the release of water as the minimum flow of sanitary water less than 1.82 m3/s was not allowed in any other month of the year.

scholarly journals Developing Water Quality Index to Assess the Quality of the Drinking Water

2018 ◽  
Vol 4 (10) ◽  
pp. 2345 ◽  
Author(s):  
Shahad Esmaeel Mohammed ◽  
Khalid Adel Abdulrazzaq
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
River Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Industrial Effluents ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Euphrates River

In the present study, an attempt has been to develop a new water quality index (WQI) method that depends on the Iraqi specifications for drinking water (IQS 417, 2009)  to assess the validity of the Euphrates River for drinking by classifying the quality of the river water at different stations along its entire reach inside the Iraqi lands. The proposed classifications by this method are: Excellent, Good, Acceptable, Poor, and Very poor. Eight water quality parameters have been selected to represent the quality of the river water these are: Ion Hydrogen Concentration (pH), Calcium (Ca), Magnesium (Mg), Sodium (Na), Chloride (Cl), Sulphate (SO_4), Nitrate (NO_3), and Total Dissolved Solids (TDS). The variation of the water quality parameters along the river have been represented by graphs using Excel.2013 software. The results revealed that the quality of the Euphrates River ranges from “Good” to “Poor”, it enters the Iraqi borders with “Good” water quality and gradually its quality begins to decrease after it receives pollution from many sources such as domestic sewage and different industrial effluents until its quality becomes “Poor” according to the proposed classification. Finally the proposed WQI can be used as a tool to assess the quality of the river with both place and time.

scholarly journals Impact of Precipitation and Flow Rate Changes on the Water Quality of a Coastal River

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Hassan Pourfallah Koushali ◽  
Reza Mastouri ◽  
Mohammad Reza Khaledian
Keyword(s):  
Water Quality ◽  
River Water ◽  
Flow Rate ◽  
River Flow ◽  
Quality Parameters ◽  
River Water Quality ◽  
Water Quality Parameters ◽  
Box Plots ◽  
Coastal River

This paper aims to investigate the effects of natural variables, including precipitation and flow rate, on the quality of the Zarjoub River in Guilan province, Iran. The new hydrological insight in this study is a lack of national research focused on the dual effects of rainfall and flow rate on river water quality in coastal areas along the Anzali Wetland. To investigate the effect of precipitation and flow rate on river water quality, nine water quality variables were monitored during the 10-year period. In this article, (a) the existence of trends and the best fitted models of water quality parameters and the discharge and precipitation were analysed using statistical techniques and (b) the relationships between concentration of constituents with the discharge and precipitation on the up-stream and middle station were also examined. Box plots, for explaining the distribution of a data collection, were used. The results showed the existence of trend of water quality parameters with river flow and rainfall. As presented in Section 3, with increasing precipitation and flow rate, concentration of all constituents, except pH and SO₄2, decreased. On the contrary, the maximum amount of water quality elements was observed in low precipitations; therefore, the maximum concentration occurred in less than 15 mm precipitation. Simple regression was used to evaluate the discharge concentration and precipitation concentration. According to the correlation coefficient (r), the relationship between concentration and precipitation is weaker than (0.238) discharge concentration (0.699). The results further showed climate change and river water quality to be related.

scholarly journals Impact of Changes in Land Use and Land Cover in the Contribution Basin of Doutor João Penido Water Supply Reservoir of Juiz de Fora, MG, Brazil

2021 ◽  
Vol 11 (1) ◽  
pp. 108
Author(s):  
Juliana Nazareth de Lana ◽  
Márcio de Oliveira ◽  
Vanessa Romario de Paula ◽  
Cézar Henrique Barra Rocha
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Land Cover ◽  
Water Supply ◽  
Quality Parameters ◽  
E Coli ◽  
The City ◽  
Water Supply Reservoirs ◽  
Limnological Parameters

Changes in the land use and land cover in areas adjacent to water reservoirs directly affect the quality of this water. This research presents a study on the water quality in the basin of one of the most important public water supply reservoirs in the city of Juiz de Fora, Minas Gerais. The main objective of this study was to analyze the behavior of limnological parameters and the correlation with land use and land cover in the contribution basin of the Doutor João Penido reservoir (CBJPR). The methodology was based on the analysis of water quality parameters, related to water samples collected from 2012 to 2015. Six sampling points were chosen from different locations: spring, medium course, main tributaries of the reservoir and the reservoir catchment. The parameters analyzed were turbidity, total solids (TS), oxygen consumed (OC), dissolved oxygen (DO), electrical conductivity, total nitrogen (TN), total phosphorus (TP), E. Coli, temperature, pH and total dissolved solids (TDS). The Kendall’s tau test was used to analyze the correlations between the parameters of water quality, land use and land cover in the CBJPR. In general, measured parameters showed better results in spring and in reservoir catchment, showing a worse quality of the water along the tributaries and the dilution power of the reservoir. The correlations pointed to the need for protection and preservation of forests in strategic locations to ensure good water quality.

scholarly journals Unfolding Water Quality Status During COVID-19 Lockdown for the Highly Polluted Santiago River in Jalisco, Mexico

2021 ◽  
Author(s):  
Gurusamy Kutralam-Muniasamy ◽  
Fermín Pérez-Guevara ◽  
Ignacio Elizalde Martinez ◽  
Shruti Venkata Chari
Keyword(s):  
Water Quality ◽  
River Water ◽  
Total Nitrogen ◽  
Surface Water Quality ◽  
Quality Parameters ◽  
River Water Quality ◽  
Organic Load ◽  
The Government ◽  
Temporary Closure

Abstract The Santiago River is one of Mexico's most polluted waterways and evaluating its surface water quality during the COVID-19 outbreak is critical to assessing the changes and improvements, if any, from the nationwide lockdown (April-May 2020). Hence, the data for 12 water quality parameters from 13 sampling stations during April-May 2020 (lockdown) were compared with the levels for the same period of 2019 (pre-lockdown) and with the same interval of previous eleven-years (2009-2019). The values of BOD (14%), COD (29%), TSS (7%), f. coli (31%), t. coli (14%) and Pb (20%) declined, while pH, EC, turbidity, total nitrogen and As enhanced by 0.3-21% during the lockdown compared to the pre-lockdown period suggesting decrements of organic load in the river due to the temporary closure of industrial and commercial activities. An eleven-year comparison estimated the reduction of pH, TSS, COD, total nitrogen and Pb by 1-38%. The analysis of water quality index estimates showed short-term improvements of river water quality in the lockdown period, compared to pre-lockdown and eleven-year trend as well as indicated very poor quality of the river. The contamination sources identified by factor analysis were mainly related to untreated domestic sewage, industrial wastewaters and agriculture effluents influencing the river water quality. Overall, our findings demonstrated positive responses of COVID-19 imposed lockdown on water quality of the Santiago River during the study period, providing a foundation for the government policy makers to identify the sources of pollution, to better design environmental policies and plans for water quality improvements.

scholarly journals Modeling river water quality parameters using modified adaptive neuro fuzzy inference system

2019 ◽  
Vol 12 (1) ◽  
pp. 45-54 ◽  
Author(s):  
Armin Azad ◽  
Hojat Karami ◽  
Saeed Farzin ◽  
Sayed-Farhad Mousavi ◽  
Ozgur Kisi
Keyword(s):  
Water Quality ◽  
River Water ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Quality Parameters ◽  
River Water Quality ◽  
Water Quality Parameters ◽  
Inference System ◽  
Neuro Fuzzy
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