• Title/Summary/Keyword: Water quality measuring system

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Development of Wireless Real Time River Water Quality Management System with GPS and GIS (GIS와 GPS를 연계한 무선 실시간 하천수질관리시스템 개발)

  • Yi, Jae-Eung;Ha, Sang-Min;Lee, Jong-Kook
    • Journal of the Korean Society of Hazard Mitigation
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    • v.2 no.4 s.7
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    • pp.69-75
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    • 2002
  • In this paper the development of a real time river water quality management system is described. This system can manage a river water quality fluctuation by finding out abnormal conditions quickly and exactly. The GIS based monitoring system collects various properties of river water quality through the wireless real time network. Tanchun, the first branch of the Han River was selected as the target basin of the system development. This system is composed of three parts - wireless real time field measuring system with a GPS receiver, a server computer and a GIS platform. After the first field test in Tanchun basin, the result showed the many possibilities of measuring various water quality properties in real time and storing the data and analyzing them within the GIS environment in real time in very efficient manners. It is expected that the developed system will contribute to the efficient management of a river water quality control and water quality related disaster prevention purposes.

A Study on the Automatic Measurement of Solid Content in Recycled Water in Ready Mixed Concrete Plant (레디믹스트 콘크리트 플랜트의 회수수 농도 측정 자동화에 관한 연구)

  • Choi, Young-Cheol;Moon, Gyu-Don;Cho, Bong-Seok
    • Journal of the Korean Society of Safety
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    • v.29 no.4
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    • pp.123-131
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    • 2014
  • Whole amount of waste water, approximately 921.6 liter, for cleaning a ready mixed concrete truck should be used to produce concrete as a mixing water or cleaning water. Recycling water for concrete mixing contains solids, which cause decrease in slump, air and compressive strengths, so it may influence on poor concrete quality. Therefore, it has been maintained to use recycling water with less than 3 percent of solids. Since no evaluation system has been constructed to directly reflect on variability of recycling water from ready mixed concrete plants, it is necessary to develop "Automatic recycling solid measuring system" for quality controls in real time. In this research, sensors measuring waste water concentration in ultrasonic and inductance methods were developed, and automatic system using the sensors were established. The accuracy of measurement sensors developed for recycling water based on various conditions of concentration was proved, and application limits were evaluated. Also, concentration of recycling water using sensors developed from ready mixed concrete plant was measured, and curing method verified the accuracy of the sensors. Moreover, measurement sensors for recycling water in various locations were installed to evaluate the effects on measuring method and spots. The automatic measuring system for recycling water concentration, which is developed in the research, will contribute to improve concrete quality safety through reliable solids maintenance.

Development of IoT-based non-cleaning water quality measuring equipment

  • Kim, Heung Soe;Ko, Woori;Ko, Kyoung Hak
    • Agribusiness and Information Management
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    • v.9 no.1
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    • pp.18-22
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    • 2017
  • It takes lots of time and labor if a worker have to measure the water quality at a certain but designated time every day in an un-automated aqua farm. In addition, if the equipment is soaked in the sea water consistently, it will be contaminated by diverse floating matters and barnacles, and it often becomes mal-functional within 2~3 months. Therefore, we need to develop a system with which the sensed data could be checked in real time and operated automatically, while preventing the contamination of the sensor, a crucial component for water quality measuring equipment, as much as possible, and increasing the replacement cycle. We have developed a non-cleaning water quality measuring equipment and its software which are used in the fishery household of offshore aqua farms. By providing the workers with a mobile application which has a function of monitoring the water quality in real time, they can check the situation directly without going to the fishery household.

Remote Water Quality Warning System Using Water Fleas

  • Park Se-Hyun;Kim Eung-Soo;Park Se-Hoon
    • Journal of information and communication convergence engineering
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    • v.4 no.2
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    • pp.92-96
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    • 2006
  • Hardware for monitoring the water quality using water fleas is developed. Water flea is a frequently used biological sensor for monitoring the water quality. Water fleas quickly respond to the incoming toxic water by changing their activity when they are exposed. By measuring the activity of water fleas, the incoming toxic water is instantly detected. So far the measurement of activity of water fleas has been done with a system equipped with both a light source of LED and a light detector of photo transistor. Water flea itself is, however, sensitive to light resulting in incorrect response and the system has two inconvenient separate parts of the light source and the detector. This paper suggests a system using a CCD camera instead of a light source and a detector. The suggested system processes the image data from the CCD camera in real time without any delay. The developed system becomes a part of the remote water monitoring embedded system.

Construction of Observational Locations for Measuring Water Quality in the River Area (하천유역 수질 관측망 구성 연구)

  • Kwon, S.H.;Oh, H.S.
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.35 no.3
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    • pp.187-191
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    • 2012
  • The methods for constructing network of observational locations for measuring water quality in water reservoirs have been widely proposed, but they had some limitations to be applied to river areas, which lie in awkward clustering and finding representative observational locations among locations within each clustering. In this paper, a statistical approach to detect anomaly locations which were significantly different in important measurements for the water quality from the previous locations and construct observational network with them was proposed. Anomaly was detected with the sampling distribution of each primary principal component score, sum of primary PCs, or sum of residual PCs. The empirical study with the data of Nakdong Dam for guiding how to use our proposed approach and showing limitations of previous studied was described.

Development of On-line Water Quality Monitoring System (온라인 수질 감시 시스템의 개발)

  • Kim, Jae-Chul;Lee, Jae-Yun;Park, Jong-Sik;Kwon, Woo-Hyen;Kim, Sung-Ho;Lee, Chan-Won
    • Journal of Sensor Science and Technology
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    • v.5 no.3
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    • pp.75-85
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    • 1996
  • Real time water quality monitoring system in a large area has been developed. The system is hierarchically composed of CCMS(Central Control and Monitoring System), data loggers and water pollution measuring instruments, which enable systematic and efficient data collection and management. Also in this work we designed and constructed the instruments for measuring basic elements in water quality such as salinity, electrical conductivity, temperature, dissolved oxygen and the amount of coli in water.

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Urban Runoff and Water Quality Models (도시유역에서의 유출 및 수질해석 모형)

  • Lee, Jong-Tae
    • Journal of Korea Water Resources Association
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    • v.31 no.6
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    • pp.709-725
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    • 1998
  • The characteristics of storm and water quality are investigated based on the measuring data of the test river, the Hongje. the water quality of the test river is generally good comparing to other urban rivers in Seoul, because of the interception of sewer flow. But this system makes the river dry up for 3-4 months in winter. On the other hand, in rainy period the storm from the combined sewer system causes rapid increasing pollutants loads. In order to simulate the urban storm and water quality of the trest basin, the models such as SWMM, ILLUDAS, STORM, HEC-1 were applied and the results are compared in its applicability and accuracy aspects. All models discussed here have shown good results and it seems that SUMM is the most effective model in simulating both quantity and quality. Also, regression relations between the water quantity and quality were derived and their applicabilities were discussed. This regression model is a simple effective tool for estimating the pollutant loads in the rainy period, but if the amount of discharge is bigger than measuring range of raw data, the accuracy becomes poor. This model could be supplemented by expanding the range of collecting data and introducing the river characteristics. The HEC-1 would be anther effective model to simulate storm runoff of a river basin including urban area.

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Application and evaluation for effluent water quality prediction using artificial intelligence model (방류수질 예측을 위한 AI 모델 적용 및 평가)

  • Mincheol Kim;Youngho Park;Kwangtae You;Jongrack Kim
    • Journal of Korean Society of Water and Wastewater
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    • v.38 no.1
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    • pp.1-15
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    • 2024
  • Occurrence of process environment changes, such as influent load variances and process condition changes, can reduce treatment efficiency, increasing effluent water quality. In order to prevent exceeding effluent standards, it is necessary to manage effluent water quality based on process operation data including influent and process condition before exceeding occur. Accordingly, the development of the effluent water quality prediction system and the application of technology to wastewater treatment processes are getting attention. Therefore, in this study, through the multi-channel measuring instruments in the bio-reactor and smart multi-item water quality sensors (location in bio-reactor influent/effluent) were installed in The Seonam water recycling center #2 treatment plant series 3, it was collected water quality data centering around COD, T-N. Using the collected data, the artificial intelligence-based effluent quality prediction model was developed, and relative errors were compared with effluent TMS measurement data. Through relative error comparison, the applicability of the artificial intelligence-based effluent water quality prediction model in wastewater treatment process was reviewed.

Assessment of Water Quality Based on Ecological Factors in Anyang River (안양천에서의 생태학적 수질오염도 평가)

  • Lee, Yang-Kyoo;Cho, Won Chul
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.9 no.3
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    • pp.39-50
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    • 2006
  • In this study, the water quality investigated during 2002s to 2004s for Anyang river and its affluent that was based on biological and chemical methods as well as ecological index of each streams. The improving of water quality and the multiplicity of specious in the most streams except for Anyang, which was due to the improving of water quality and water resource. The seasonal dry states are completely disappeared, but water quality of Anyang main stream was classified as fifth grades water with BIP 8.51~10.00 and BOD 8.16~14.4mg/l in Anyang stream overall. And alpha-mesosaprobic in upper, mid parts and polysaprobic in down parts of Anyang main stream are appeared according to Saprobien system, respectively. The water supply of treated sewage is appeared that upgrading effects of water quality in Anyang main stream and affluents of Anyang city area, but the practical effects of "Saving Anyang River" could not gained because the water quality of other branches in upstream parts than upstream measuring point of Anyang main stream, Wanggok stream Sanbon stream in Gunpo and Eeiwang cities, was not improved.