scholarly journals A COMPREHENSIVE ASSESSMENT OF SEPTAGE MANAGEMENT IN BANTUL, YOGYAKARTA

2021 ◽  
Vol 4 (2) ◽  
pp. 109
Author(s):  
Adelia Anju Asmara ◽  
Suphia Rahmawati ◽  
Andik Yulianto ◽  
Margita Rahayu Abay ◽  
Dilla Arlina ◽  
...  
Keyword(s):  
Water Quality ◽  
Community Involvement ◽  
Government Regulation ◽  
Treatment Plant ◽  
Assessment Method ◽  
Quality Parameters ◽  
Quality Analysis ◽  
Oil And Grease ◽  
Sludge Treatment ◽  
Standard Quality

<p><strong>Aim:</strong> This study aims to assess the entire process of septage management comprising regulation, operational procedures, finance, community involvement, and water quality analysis to maximize the initial and hugest human fecal sludge treatment called Faecal Sludge Treatment Plant (IPLT) in Yogyakarta. <strong>Methodology and Results:</strong> The Modified EHRA (Environmental Health Risk Assessment) method was applied which focused only on wastewater treatment aspect. Several regulations including standard quality methods (SNI) were utilized and made a comparison between baseline rules and obtained results. Furthermore, quality assessment was accomplished by observation and interview. The results showed that the human sector needs to improve not only the amount of operators but also urgently put up protective personal equipment during the suction process. The dissemination of attractive information about sludge suction service done by PUPKP as a representation of the local government among the dwellers ought to upgrade a lot. Technologies employed which are carriage transportation and vacuum machine, are good enough. Contrarily, septage treatment plants require extra-effort to enhance it as most water quality parameters barely meet the standard quality. BOD, COD, ammonia, total coliform, oil and grease do not meet the third class of water quality (Government Regulation of Republic of Indonesia No. 82/2001). Subsequently, the effectiveness of each unit i.e. anaerobic tank and stabilization ponds are under 50% and the loading rate has a maximum capacity of 87.5m<sup>3</sup>/day, and 60m<sup>3</sup>/day minimum capacity. <strong>Conclusion, significance and impact of study:</strong> Therefore, almost all aspects of septage management in Bantul Yogyakarta are required to improve</p>

STUDI PERBANDINGAN KUALITAS AIR BERSIH DALAM KAITANYA DENGAN AKTIVITAS MASYARAKAT DI SEKITAR SUMBER AIR PADA DESA WAINITU, BATUMERAH, AMAHUSU, DAN HALONG

2017 ◽  
Vol 13 (2) ◽  
pp. 111-119
Author(s):  
Lela Uyara ◽  
Pieter Kunu ◽  
Silwanus M Talakua
Keyword(s):  
Water Quality ◽  
Quality Standard ◽  
Total Coliform ◽  
Quality Analysis ◽  
Clean Water ◽  
Water Quality Analysis ◽  
E Coli ◽  
Microbiological Parameters ◽  
Standard Quality

The study aims to determine the quality of clean water in the villages of Wainitu, Batumerah, Amahusu and Halong by comparing the result of water quality analysis with water quality standard. Water quality analysis includes Physiscal, Chemical, and Microbiological parameters. This research uses descriptive method, this method describes systematics, accurate about facts and characteristic of the quality of clean water of each research location. The results showed that the source of clean water in the village of Batumerah did not meet the standard of clean water quality standards indicated by the number of E. coli and the high total coliform.  Keywords: standard quality of clean water, water quality, Wainitu, Batumerah, Amahusu and Halong villages   ABSTRAK Penelitian yang bertujuan untuk menetapkan kualitas air bersih di Desa Wainitu, Batumerah, Amahusu dan Halong, dengan membandingkan hasil analisis kualitas air dengan standar baku mutu air bersih. Analisis kualitas air meliputi parameter fisika, kimia dan mikrobiologi. Penelitian ini menggunakan metode deskriptif; metode ini menggambarkan sicara sistematis, akurat, fakta dan karakteristik mengenai kualitas air bersih di masing-masing lokasi penelitian. Hasil penelitian menunjukkan bahwa sumber air bersih di Desa Batumerah tidak memenuhi standar baku mutu air bersih yang ditunjukkan oleh jumlah E. coli dan total Koliform yang tinggi. Kata Kunci: baku mutu air bersih, Desa Wainitu, Batumerah, Amahusu dan Halong, kualitas air

scholarly journals Researchof Water Quality and its Chemical Parameters by Titration Method and Instrumenal Method

2019 ◽  
Vol 8 (6S4) ◽  
pp. 871-874
Keyword(s):  
Water Quality ◽  
Electrical Conductivity ◽  
Water Samples ◽  
Total Dissolved Solids ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Quality Analysis ◽  
Instrumental Method ◽  
Titration Method ◽  
Dissolved Solids

he water quality analysis is an important aspect in understanding the behavior of water and what can they be used for. This study gives us a valuable information on the general properties of water quality parameters like pH, electrical conductivity, TDS, Bicarbonate, Sulfate, Nitrate, chloride etc. of the study area . Water samples were analyzed at the water quality lab. NIH, Roorkee for pH, electrical conductivity and total dissolved solids. The pH of water varied from 7.14 to 7.75. The electrical conductivity (EC) of sample falls from 620µS/cm to 2000µS/cm. The overall total dissolved solids in water of study area varied from 120mg/l to 900mg/l. Overall the range of the Chloride in water of the study area tend to falls between 13mg/l to 375mg/l. Sulfate of all the water samples that were collected from the study area have ranged from 28mg/l to 250mg .The range of the Bicarbonate of all the water samples varied from 320mg/l to 1051mg/l. The study area helps to know about water quality parameters and how to find their values by usingtwo methods : 1) titration method 2) instrumental method .It also helps us to apply these water quality parameters in ArcGis. It helps us to show the values of different parameters in different blocks ofambala for different years In this we have studied different blocks of ambala district Haryana .We have taken the samples from different places from the blocks and also samples are from wells, canal , rivers, ponds.

scholarly journals Real-time water quality monitoring through Internet of Things and ANOVA-based analysis: a case study on river Krishna

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Prasad M. Pujar ◽  
Harish H. Kenchannavar ◽  
Raviraj M. Kulkarni ◽  
Umakant P. Kulkarni
Keyword(s):  
Water Quality ◽  
Internet Of Things ◽  
Real Time ◽  
River Basin ◽  
Water Quality Monitoring ◽  
Quality Parameters ◽  
Quality Monitoring ◽  
Quality Analysis ◽  
Water Quality Analysis

AbstractIn this paper, an attempt has been made to develop a statistical model based on Internet of Things (IoT) for water quality analysis of river Krishna using different water quality parameters such as pH, conductivity, dissolved oxygen, temperature, biochemical oxygen demand, total dissolved solids and conductivity. These parameters are very important to assess the water quality of the river. The water quality data were collected from six stations of river Krishna in the state of Karnataka. River Krishna is the fourth largest river in India with approximately 1400 km of length and flows from its origin toward Bay of Bengal. In our study, we have considered only stretch of river Krishna flowing in state of Karnataka, i.e., length of about 483 km. In recent years, the mineral-rich river basin is subjected to rapid industrialization, thus polluting the river basin. The river water is bound to get polluted from various pollutants such as the urban waste water, agricultural waste and industrial waste, thus making it unusable for anthropogenic activities. The traditional manual technique that is under use is a very slow process. It requires staff to collect the water samples from the site and take them to the laboratory and then perform the analysis on various water parameters which is costly and time-consuming process. The timely information about water quality is thus unavailable to the people in the river basin area. This creates a perfect opportunity for swift real-time water quality check through analysis of water samples collected from the river Krishna. IoT is one of the ways with which real-time monitoring of water quality of river Krishna can be done in quick time. In this paper, we have emphasized on IoT-based water quality monitoring by applying the statistical analysis for the data collected from the river Krishna. One-way analysis of variance (ANOVA) and two-way ANOVA were applied for the data collected, and found that one-way ANOVA was more effective in carrying out water quality analysis. The hypotheses that are drawn using ANOVA were used for water quality analysis. Further, these analyses can be used to train the IoT system so that it can take the decision whenever there is abnormal change in the reading of any of the water quality parameters.

scholarly journals Finite volume model for the simulation of 1D unsteady river flow and water quality based on the WASP

2019 ◽  
Vol 22 (2) ◽  
pp. 327-345 ◽  
Author(s):  
Geovanny Gordillo ◽  
Mario Morales-Hernández ◽  
Pilar García-Navarro
Keyword(s):  
Water Quality ◽  
Finite Volume ◽  
River Flow ◽  
Temporal Variations ◽  
Quality Parameters ◽  
Water Dynamics ◽  
Quality Analysis ◽  
Real Field ◽  
Finite Volume Scheme ◽  
Combined System

Abstract In this work, a one-dimensional (1D) finite volume numerical model for the unsteady simulation of the flow hydrodynamics and water quality is developed. The water dynamics is formulated with the 1D shallow water equations, and the water quality evolution is described by the Water Quality Analysis Simulation Program (WASP) model, allowing us to interpret and predict the transport and fate of various biochemical substances along any river reach. This combined system is solved with an explicit finite volume scheme based on Roe's linearization for the advection component of both the flow and the solute transport equations. The proposed model is able to consider temporal variations in tributaries and abstractions occurring in the river basin. This feature is transcendent in order to predict the chemical composition of natural water bodies during winter and summer periods, leading to an improvement in the agreement between computed and observed water quality evolutions. The combined model has been evaluated using literature tests in a steady state and a real-field case of the Ebro river (Spain), characterized by a marked unsteady regime. In the real case, we found that the water temperature was very sensitive to both the solar radiation and the average air temperature, requiring a careful calibration of these parameters. The numerical results are also demonstrated to be reasonably accurate, conservative and robust in real-scale field cases, showing that the model is able to predict the evolution of quality parameters as well as hydrodynamic variables in complex scenarios.

scholarly journals Water quality and management in the Australian pig industry

2021 ◽  
Vol 61 (7) ◽  
pp. 637
Author(s):  
Louise Edwards ◽  
Helen Crabb
Keyword(s):  
Water Quality ◽  
Management Practices ◽  
Production Systems ◽  
Water Source ◽  
Quality Parameters ◽  
Quality Of Water ◽  
Standard Quality ◽  
Pig Performance ◽  
The Impact

Context Water is the first nutrient and an essential component of all agricultural production systems. Despite its importance there has been limited research on water, and in particular, the impact of its availability, management and quality on production systems. Aims This research sought to describe the management and quality of water used within the Australian pig industry. Specifically, the water sources utilised, how water was managed and to evaluate water quality at both the source and the point of delivery to the pig. Methods Fifty-seven commercial piggeries across Australia participated in this study by completing a written survey on water management. In addition, survey participants undertook physical farm parameter measurements including collecting water samples. Each water sample was tested for standard quality parameters including pH, hardness, heavy metals and microbiological status. Key results Responses were received from 57 farms, estimated to represent at least 22% of ‘large’ pig herds. Bore water was the most common water source being utilised within the farms surveyed. Management practices and infrastructure delivering water from the source to the point of consumption were found to differ across the farms surveyed. Furthermore, water was regularly used as a delivery mechanism for soluble additives such as antibiotics. The quality of water at the source and point of consumption was found to be highly variable with many parameters, particularly pH, hardness, salinity, iron, manganese and microbiological levels, exceeding the acceptable standard. Conclusions In general, water quality did not appear to be routinely monitored or managed. As a result, farm managers had poor visibility of the potential negative impacts that inferior water quality or management may be having on pig production and in turn the economics of their business. Indeed, inferior water quality may impact the delivery of antibiotics and in turn undermine the industry’s antimicrobial stewardship efforts. Implications The study findings suggest that water quality represents a significant challenge to the Australian pig industry. Access to drinking water of an acceptable quality is essential for optimal pig performance, health and welfare but also to ensure farm to fork supply chain integrity, traceability and food safety.

scholarly journals Investigation of water quality changes in drinking water supplied from Sitlee water treatment plant on River Tawi to Old Jammu City, Jammu, J&K, India

2018 ◽  
Vol 10 (2) ◽  
pp. 601-607
Author(s):  
Poonam Kundan ◽  
Deepika Slathia
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Treatment ◽  
Water Samples ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Quality Parameters ◽  
Faecal Coliform ◽  
Quality Changes ◽  
Distribution Point

In the present study, an attempt has been made to evaluate the water quality changes in River Tawi water treated at Sitlee water treatment plant, and supplied for drinking to Old Jammu City, Jammu, J&K, India. Water samples from the treated water unit of Sitlee water treatment plant and around ten houses from the distribution point (Old Jammu City) were analyzed monthly for various physicochemical parameters for a period of one year (February 2014 to January 2015). The study indicated deterioration of drinking water quality during its passage through the distribution network which has been attributed to the leakages and defects in the old pipe system supplying water to the Jammu city. Comparison of analyzed water quality parameters with the drinking water standards prescribed by World Health Organization (WHO) and Bureau of Indian Standards (BIS) indicated that parameters like DO (7.49-8.24mg/l), calcium(49.93-67.08mg/l), magnesium(16.14-25.21mg/l) and potassium(6.99-7.93mg/l) were almost nearing the desirable limits but were within the permissible limits and parameters like turbidity(3.5-8.17 NTU) and total hardness(78.87-120.50mg/l) were above the desirable limits in the water samples collected from the distribution point. The collected primary data for the thirteen water quality parameters has been used to calculate the Arithmetic Water Quality Index(WQI) which has shown monsoon increase with higher values at distribution point(65.65). One time microbial analysis (MPN/100ml) for total and faecal coliform has indicated presence of faecal coliform (<1/100ml) in water samples from eight households at distribution point which indicates contamination of water with human faecal matter during its passage through the distribution network. According to microbial standards laid down by Central Pollution Control Board (2008), water contaminated with faecal coliform is unfit for drinking without conventional treatment.

scholarly journals Identification of the Main Water Quality Parameters for Monitoring and Evaluating Watershed Health

2020 ◽  
Vol 52 (2) ◽  
pp. 227
Author(s):  
Pranatasari Dyah Susanti ◽  
Nining Wahyuningrum
Keyword(s):  
Water Quality ◽  
Government Regulation ◽  
Pollution Index ◽  
Monitoring And Evaluation ◽  
Quality Standards ◽  
Quality Parameters ◽  
Class Iii ◽  
Water Quality Standards ◽  
Pollution Levels ◽  
Phosphate Nitrate

Water quality is one of the crucial parameters in monitoring and evaluating watersheds. A large number of parameters causes the monitoring and evaluation of watershed performance to be less efficient and costly. This study aims to determine the main parameters as a method of simplifying water quality observation parameters by producing equations that can be used to predict the level of pollution of a non-point source pollutant (watershed). A sampling of surface water was carried out by purposive sampling at several outlets located in the Brantas and Upper Solo watersheds. The research parameters analysed were: TSS, TDS, BOD, COD, Phenol, Free Chlorineine, Sulfide, Arsenic, Fe, Pb, Phosphate, Nitrate, Nitrite, Detergent, Turbidity and E. Coli. The results of the analysis of water quality are used to calculate the value of the Pollution Index (PI) according to the Decree of the Minister of Environment No. 115 of 2003 and to determine the class of water quality standards that refer to Class III water quality standards, in Government Regulation No.82 of 2001. The analysis showed that all samples were at mild to moderate pollution levels, and did not meet class III water quality standards. Multiple regression analysis produced two equations, namely: Model 1: PI = 3.952 + 91.668 Phenol and Model 2: PI = 3.086 + 80.167 Phenol + 0.152 BOD, with R squared values of 53% and 69.9% with a confidence level of 0.005. Thus the prediction of pollution levels of similar watershed can be made only by using the two most influential parameters namely phenol and/or BOD alone.   

Influence of molecular weight distribution of organic substances on the removal efficiency of DBPS in a conventional water treatment plant

2000 ◽  
Vol 41 (10-11) ◽  
pp. 43-49 ◽  
Author(s):  
C-N. Chang ◽  
A. Chao ◽  
F-S. Lee ◽  
F-F. Zing
Keyword(s):  
Water Quality ◽  
Molecular Weight ◽  
Water Treatment ◽  
Weight Distribution ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Quality Parameters ◽  
Organic Substances ◽  
Raw Water ◽  
Unit Operations

The objective of this study is to investigate how the molecular weight distribution of the organic substances affects their treatment efficiencies and the reduction of disinfection by-products (DBPs) in the various unit operations of a full-scale water treatment plant. The results indicate that the membrane with a smaller molecular weight cut-off is more effective for removing the organic substances and its associated water quality parameters from the raw water. For example, using the membrane with a molecular weight cut-off of 0.5 K (500 daltons), the removal efficiency of DOC from the raw water sample can be as high as 88%. Removal efficiencies of other water quality parameters such as UV254 absorbance, THMFP and AOXFP are generally between 65–69%. When undergoing the various unit operations in the conventional water treatment plant, most organic substances are removed in the coagulation process followed by sedimentation.

scholarly journals Monitoring System for Physical Water Quality Parameters and Automatic Control for Chlorine Dosing in a Aerator Treatment Plant

2021 ◽  
Vol 1878 (1) ◽  
pp. 012065
Author(s):  
Juan Carlos Balarezo ◽  
Jorge Buele ◽  
Hernán Naranjo-Ávalos ◽  
Franklin Castillo ◽  
William G. Vargas ◽  
...  
Keyword(s):  
Water Quality ◽  
Automatic Control ◽  
Monitoring System ◽  
Treatment Plant ◽  
Quality Parameters ◽  
Water Quality Parameters

scholarly journals Assessment of physical, chemical and dissolved trace metals parameters of marine water quality in East Malaysia’s port

2021 ◽  
Vol 4 (1) ◽  
pp. 50
Author(s):  
Wan Nur Fazlina Abdol Jani ◽  
Fatihah Suja’ ◽  
Firdaus Mohamad Hamzah ◽  
Shahrom Md Zain
Keyword(s):  
Water Quality ◽  
Trace Metal ◽  
Marine Pollution ◽  
Water Quality Monitoring ◽  
Ammonia Nitrogen ◽  
Marine Water ◽  
Quality Analysis ◽  
Monitoring And Control ◽  
Oil And Grease ◽  
Metal Concentrations

A port is an important national asset that needs to be carefully protected. Ports should be maintained to preserve both public health and the natural environment. This study focused on determining the status of a port in Peninsular Malaysia based on water quality analysis. Marine water samples in the port were collected from eight sampling locations. Fifteen physical and chemical parameters and trace metal concentrations were measured in-situ and in a laboratory using standard methods. The ranges of the results were as follows; 26.6–32.2 °C for temperature, 7.2–9.5 for pH, 7.18–8.55 mg/L for DO, 6.27–423.33 NTU for turbidity, 41–751 mg/L for TSS, 1.1–10.5 mg/L for BOD5, 57–2791 mg/L for COD, 6.00–679.50 mg/L for O&G, and 0.17–7.28 mg/L for NH3-N. The trace metal concentrations were as follows; 0.000–0.080 mg/L for Al, 0.000–0.048 mg/L for Cr, 0.001–0.197 mg/L for Cu, 0.002-0.821 mg/L for Fe, 0–0.038 mg/L for Ni, and 0.001– 0.068 mg/L for Zn. The parameters of total suspended solid, chemical oxygen demand, oil and grease, ammonia-nitrogen and Cu were mostly unacceptable in terms of water quality and sources of pollution. It stemmed from the phenomenon of the tides, port activities and the diversity of shipload, effects of antifouling ship, sewage and stormwater runoff are the main contributors of marine pollution. Therefore, water quality monitoring and control of the release of untreated organic and dissolved metal wastes into marine waters are greatly needed.

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