scholarly journals PERANCANGAN SISTEM BASIS DATA ONLINE MONITORING KUALITAS AIR DI SUNGAI CILIWUNG

2018 ◽  
Vol 9 (1) ◽  
Author(s):  
Satmoko Yudo
Keyword(s):  
Water Quality ◽  
Online Monitoring ◽  
Water Quality Monitoring ◽  
River Pollution ◽  
Database Management System ◽  
Quality Data ◽  
Water Quality Data ◽  
Quality Of Water ◽  
The Government

Population growth in the Jakarta city that continues to rise each year, this has resulted in environmental pollution, especially pollution of the Ciliwung river continues to grow. Nowadays various attempts have been made in terms of prevention of pollution of the river Ciliwung. One of the efforts to control pollution in the river Ciliwung is monitoring the quality of water in rivers and creeks Ciliwung. This monitoring is done in real-time and online, where the water quality data sent to data centers and analyzed  into information that can be displayed at any time and anywhere through the Internet. If there are pollutants that enter the river so heavilly polluted in certain time, the government or the authorities that manages the river can take action to control pollution. To support online monitoring system running well required database management system (DBMS) for storing water quality data at any time and integrated well. Keywords : river pollution, water quality monitoring online, Ciliwung river, design database.

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 A Low-Cost Water Quality Monitoring System for the Ayeyarwady River in Myanmar Using a Participatory Approach

Water ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 1984 ◽  
Author(s):  
Thanda Thatoe Nwe Win ◽  
Thom Bogaard ◽  
Nick van de Giesen
Keyword(s):  
Water Quality ◽  
Mobile Phone ◽  
Low Cost ◽  
School Teacher ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Quality Data ◽  
Water Quality Data ◽  
Lower Accuracy

Newly developed mobile phone applications in combination with citizen science are used in different fields of research, such as public health monitoring, environmental monitoring, precipitation monitoring, noise pollution measurement and mapping, earth observation. In this paper, we present a low-cost water quality mobile phone measurement technique combined with sensor and test strips, and reported the weekly-collected data of three years of the Ayeyarwady River system by volunteers at seven locations and compared these results with the measurements collected by the lab technicians. We assessed the quality of the collected data and their reliability based on several indicators, such as data accuracy, consistency, and completeness. In this study, six local governmental staffs and one middle school teacher collected baseline water quality data with high temporal and spatial resolution. The quality of the data collected by volunteers was comparable to the data of the experienced lab technicians for sensor-based measurement of electrical conductivity and transparency. However, the lower accuracy (higher uncertainty range) of the indicator strips made them less useful in the Ayeyarwady with its relatively small water quality variations. We showed that participatory water quality monitoring in Myanmar can be a serious alternative for a more classical water sampling and lab analysis-based monitoring network, particularly as it results in much higher spatial and temporal resolution of water quality information against the very modest investment and running costs. This approach can help solving the invisible water crisis of unknown water quality (changes) in river and lake systems all over the world.

scholarly journals Appraisal of Drinking Water Quality in Lahore Residence, Pakistan

2017 ◽  
Vol 60 (1) ◽  
pp. 34-41
Author(s):  
Khalid Mahmood ◽  
Muhammad Asim
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Underground Water ◽  
Poor Quality ◽  
Drinking Water Quality ◽  
Quality Data ◽  
Southeastern Part ◽  
Water Quality Data ◽  
Quality Of Water

A comprehensive study for the spatial distribution of drinking water quality had been conductedfor residential area of Lahore, Pakistan. The study had made use of the geographic information system(GIS) for geographical representation and spatial analysis of groundwater quality. Physicochemicalparameters including electric conductivity, pH, TDS, Cl, Mg, Ca, alkalinity and bicarbonates from 73 ofthe water samples had been included in the analysis. Water quality data had been geo-referenced followedby its interpolation using inverse distance weighted (IDW) for each of the parameters. Very high alkalinityand bicarbonates values were observed in most parts of the area. For the comprehensive view, water qualityindex map had been prepared using weighted overlay analysis (WOA). The water quality index map wasclassified into five zones of excellent, good, poor, very poor and unfit for drinking as per WHO standardsof drinking water. 21% region had excellent quality of the underground water and 50% was found goodfor drinking. Poor quality of water was found in southeastern part, covering 27% of the study area. Only2% of the area was found under the very poor and unfit water quality conditions for drinking.

scholarly journals The Fluctuation of Water Quality of Ci Lutung flow areas in Majalengka and Sumedang.

2018 ◽  
Vol 73 ◽  
pp. 04013
Author(s):  
Deddy Caesar Agusto ◽  
Eko Kusratmoko
Keyword(s):  
Water Quality ◽  
Point Source ◽  
Agricultural Land ◽  
Quality Data ◽  
Water Quality Data ◽  
Water Quality Indicators ◽  
Quality Of Water ◽  
The Moment ◽  
The Impact

The river is the main source of water in Indonesia, which at the moment, this quality tends to get worse and is no longer worth consuming for various needs. The cause of the pollution is the entry of pollutants both point source (industrial waste) and non-point source (residential and agricultural land). Rainfall can be a non-point source pollutant agent from a watershed to a water body. The impact of rainfall on increasing concentrations of pollutants is very significant, especially the high intensity rainfall that falls after the long dry season. In this study, water quality data is obtained from river outlets located in Damkamun taken every 30 minutes during the rainfall event so that fluctuation in water quality can be seen. Water quality indicators studied in this research are TDS, DHLNitrate, Phosphate and Ph. The author, in analyzing, using rainfall Himawari 8 which is obtained every 10 minutes. The result shows that rainfall is directly related to the water flow and the fluctuation of the discharge affects the water quality. From the calculations, the chemical quality of water is also influenced by the use of land in the watershed. Nitrate value increases when the occurrence of rain occurs in land use while phosphate experiences a high value during the event.

Standardization of Water Quality Information in a Tidal River

1986 ◽  
Vol 18 (4-5) ◽  
pp. 43-52 ◽  
Author(s):  
Tetsuya Kusuda ◽  
Tohru Futawatari ◽  
Youichi Awaya ◽  
Kenichi Koga ◽  
Katsuhiro Furumoto
Keyword(s):  
Water Quality ◽  
Time Lag ◽  
High Tide ◽  
Tidal River ◽  
Quality Data ◽  
Water Quality Data ◽  
Monitoring Method ◽  
Quality Of Water ◽  
Tidal Rivers

The objectives of this study were to clarify the defects of the current tidal river monitoring method and to propose a better method to obtain water quality data of high quality for tidal rivers. In Japan, the Water Quality Standards for rivers also apply to tidal rivers. The method indicates that water should be sampled from 20% of the water depth below the water surface at an arbitrary time once a month. Since this method was apparently inappropriate to understand the dynamics and water profiles in tidal rivers, field surveys were conducted at different times in the River Rokkaku, which is well mixed. The results showed that the turbidity maximum moved up- and down-stream more than 10 km due to the tide. Based on this fact, a new monitoring method was proposed, which required water samples to be taken with a certain time lag from a high tide at a station. This newly proposed method improved the quality of information on water quality and made data available to ascertain long term trends. Modifications to the new method are suggested to further improve the quality of water quality data for tidal rivers.

scholarly journals Monitoring Lotic Ecosystem by the Application of Water Quality Index (CCMEWQI)

2020 ◽  
Vol 17 (1) ◽  
pp. 0023
Author(s):  
Salman Et al.
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Water Quality Management ◽  
Water Quality Monitoring ◽  
Quality Data ◽  
Total Hardness ◽  
Water Quality Data ◽  
Quality Of Water ◽  
Lotic Ecosystem

Water Quality Index (WQI) as a tool to assess the water quality status provides advice related to the use of water quality monitoring data and it is a way for combining the complex water quality data into a single value or single statement.The present study was conducted on Al- Hilla river in the middle of Iraq from August 2012 to July 2013 at five selected stations in the river, from Al- Musaib city to Al- Hashimya at the south of Hilla to determine its suitability for aquatic environment (GWQI), drinking water (PWSI) and irrigation (IWQI).This index offers a useful representation of the overall quality of water for public or any intended use as well as indicating pollution, water quality management, and decision making. According to the obtained results, it can be concluded that the EC, TSS, Total hardness, Ca, Mg, DO, BOD5, and NO3 moved away from the desired standards when the temperature rises. The variable of value of this index may be due to increasing the ration of organic matters and converting the carbonate to bicarbonate. The results recorded high value of calcium and magnesium more than the standard value of WHO and IQS (50 mg/l and high value of total hardness more than 500 mg/l). Irrigation water quality index (IWQI) in the study sites were ranged between 66-83 ranged between fair and good.                                                  

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 A water quality index for the removal requirement and purification treatment effort of micropollutants

2020 ◽  
Author(s):  
T. E. Pronk ◽  
R. C. H. M. Hofman-Caris ◽  
D. Vries ◽  
S. A. E. Kools ◽  
T. L. ter Laak ◽  
...  
Keyword(s):  
Water Quality ◽  
Drinking Water Treatment ◽  
Water Bodies ◽  
Quality Data ◽  
Treatment Level ◽  
River Rhine ◽  
Water Quality Data ◽  
Treatment Effort ◽  
Quality Of Water

Abstract The European Water Framework Directive (WFD) states that measures should be taken to improve the quality of water bodies to prevent further required extension of current (drinking) water treatment. Hence, for water managers it is of key importance to evaluate and report on the quality of water and the level of purification treatment that is required. For this purpose a novel framework of indices is defined, and their definition allows the inclusion of new, emerging substances. The indices can be calculated based on micropollutant characteristics alone and do not require any knowledge of specific purification treatment installations. Applying this framework of indices to water bodies provides an objective and reproducible way of evaluating the required purification treatment level. The indices were calculated for water quality data for up to 600 micropollutants from five sampling locations along the river Rhine in the Netherlands. This revealed differences between the sampling sites (index values ranged from 145 to 273) and showed that for the river Rhine the required purification treatment level, as well as the underlying removal requirement and purification treatment effort, have not improved over the years, despite the introduction of the WFD in 2000.

scholarly journals Discovering Water Quality Changes and Patterns of the Endangered Thi Vai Estuary in Southern Vietnam through Trend and Multivariate Analysis

Water ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 1330
Author(s):  
Malte Lorenz ◽  
Hong Quan Nguyen ◽  
Trong Dieu Hien Le ◽  
Stephanie Zeunert ◽  
Duc Huy Dang ◽  
...  
Keyword(s):  
Water Quality ◽  
Trend Analysis ◽  
Pollution Abatement ◽  
Principal Component ◽  
Water Quality Monitoring ◽  
Quality Data ◽  
Rapid Improvement ◽  
Water Quality Data ◽  
Southern Vietnam

Temporal and spatial water quality data are essential to evaluate human health risks. Understanding the interlinking variations between water quality and socio-economic development is the key for integrated pollution management. In this study, we applied several multivariate approaches, including trend analysis, cluster analysis, and principal component analysis, to a 15-year dataset of water quality monitoring (1999 to 2013) in the Thi Vai estuary, Southern Vietnam. We discovered a rapid improvement for most of the considered water quality parameters (e.g., DO, NH4, and BOD) by step trend analysis, after the pollution abatement in 2008. Nevertheless, the nitrate concentration increased significantly at the upper and middle parts and decreased at the lower part of the estuary. Principal component (PC) analysis indicates that nowadays the water quality of the Thi Vai is influenced by point and diffuse pollution. The first PC represents soil erosion and stormwater loads in the catchment (TSS, PO4, and Fetotal); the second PC (DO, NO2, and NO3) determines the influence of DO on nitrification and denitrification; and the third PC (pH and NH4) determines point source pollution and dilution by seawater. Therefore, this study demonstrated the need for stricter pollution abatement strategies to restore and to manage the water quality of the Thi Vai Estuary.

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