• 제목/요약/키워드: surface water monitoring

검색결과 528건 처리시간 0.035초

금강 수계 내 하천퇴적물 및 지표수의 지표미생물 농도분포 (Monitoring of Indicator Microorganism Concentrations of River Sediment and Surface Water in the Geum River Basin)

  • 김건하
    • 한국물환경학회지
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    • 제26권1호
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    • pp.125-132
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    • 2010
  • Characterization of sediment quality is important for the proper management of surface water quality, yet sediment has not been monitored sufficiently. In this study, fecal indicator microorganism concentrations of sediments in the Geum River Basin were monitored. Sampling was carried out at one paddy field, one lakeshore and five monitoring stations in the lower reach of the Geum River Basin. Surface waters and sediments were sampled four times during rainy season. Total coliform concentrations of sediments were 12 times higher in average to those of surface waters while E. coli concentrations of sediments were six times higher. No correlation found between indicator microorganism concentration between surface waters and sediments.

Non-invasive acceleration-based methodology for damage detection and assessment of water distribution system

  • Shinozuka, Masanobu;Chou, Pai H.;Kim, Sehwan;Kim, Hong Rok;Karmakar, Debasis;Fei, Lu
    • Smart Structures and Systems
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    • 제6권5_6호
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    • pp.545-559
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    • 2010
  • This paper presents the results of a pilot study and verification of a concept of a novel methodology for damage detection and assessment of water distribution system. The unique feature of the proposed noninvasive methodology is the use of accelerometers installed on the pipe surface, instead of pressure sensors that are traditionally installed invasively. Experimental observations show that a sharp change in pressure is always accompanied by a sharp change of pipe surface acceleration at the corresponding locations along the pipe length. Therefore, water pressure-monitoring can be transformed into acceleration-monitoring of the pipe surface. The latter is a significantly more economical alternative due to the use of less expensive sensors such as MEMS (Micro-Electro-Mechanical Systems) or other acceleration sensors. In this scenario, monitoring is made for Maximum Pipe Acceleration Gradient (MPAG) rather than Maximum Water Head Gradient (MWHG). This paper presents the results of a small-scale laboratory experiment that serves as the proof of concept of the proposed technology. The ultimate goal of this study is to improve upon the existing SCADA (Supervisory Control And Data Acquisition) by integrating the proposed non-invasive monitoring techniques to ultimately develop the next generation SCADA system for water distribution systems.

Surface Water Mapping of Remote Sensing Data Using Pre-Trained Fully Convolutional Network

  • Song, Ah Ram;Jung, Min Young;Kim, Yong Il
    • 한국측량학회지
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    • 제36권5호
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    • pp.423-432
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    • 2018
  • Surface water mapping has been widely used in various remote sensing applications. Water indices have been commonly used to distinguish water bodies from land; however, determining the optimal threshold and discriminating water bodies from similar objects such as shadows and snow is difficult. Deep learning algorithms have greatly advanced image segmentation and classification. In particular, FCN (Fully Convolutional Network) is state-of-the-art in per-pixel image segmentation and are used in most benchmarks such as PASCAL VOC2012 and Microsoft COCO (Common Objects in Context). However, these data sets are designed for daily scenarios and a few studies have conducted on applications of FCN using large scale remotely sensed data set. This paper aims to fine-tune the pre-trained FCN network using the CRMS (Coastwide Reference Monitoring System) data set for surface water mapping. The CRMS provides color infrared aerial photos and ground truth maps for the monitoring and restoration of wetlands in Louisiana, USA. To effectively learn the characteristics of surface water, we used pre-trained the DeepWaterMap network, which classifies water, land, snow, ice, clouds, and shadows using Landsat satellite images. Furthermore, the DeepWaterMap network was fine-tuned for the CRMS data set using two classes: water and land. The fine-tuned network finally classifies surface water without any additional learning process. The experimental results show that the proposed method enables high-quality surface mapping from CRMS data set and show the suitability of pre-trained FCN networks using remote sensing data for surface water mapping.

하천 퇴적물의 영양염류 모니터링 (Monitoring and Analysis of Nutrients in Sediments in the Riverbed)

  • 김건하;정우혁;이준배
    • 한국물환경학회지
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    • 제22권5호
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    • pp.838-845
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    • 2006
  • Characterization of sediment in the riverbed is of importance for effective water quality management, yet have not been monitored sufficiently. This paper reports monitoring results of nutrient concentrations of sediments. Surface waters and sediments were sampled four times during rainy season at five monitoring points. Organics of overlying water were increased after high flow condition followed by decreasing tendencies. Soluble phosphorus fraction among total phosphorus was increased after high flow condition while total phosphorus was in decreasing tendencies. Monitoring result suggested that more extended monitoring scheme for flow rate, scouring velocity, and suspended material is required for analyzing relationship between water quality and sediment.

Development of On -Line Work Roll Surface Monitoring System At Hot Strip Mill

  • Moon, Bae-Ho
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.53.4-53
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    • 2001
  • This paper described about the system which can be inspect work roll surface for deciding a milling schedule and roll changing at hot strip mill in POSCO. Developed system consists of CCD camera, Xenon lamp with fiber bundle and mechanical control part. The water probe build up water pole between head of probe and roll surface to acquisite a good image from a work roll surface under the bad environment with steam, cooling water and high temperature. This system is possible to monitor a work roll surface of about 12${\times}$9mm. We have shown the validation of the developed system which can monitor the evolution of degradation on work roll surface.

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도시 하천에서의 어류 폐사 원인 분석 II - 자동수질측정장치 및 수질모델의 사용 (Causes of Fish Kill in the Urban Stream and Prevention Methods II - Application of Automatic Water Quality Monitoring Systen and Water Quality Modeling)

  • 이은형;서동일;황현동;윤진혁;최재훈
    • 상하수도학회지
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    • 제20권4호
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    • pp.585-594
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    • 2006
  • This study focused on the causes of fish kills and its prevention methods in Yudeung Stream, Daejeon, Korea. Intense field data, continuous water quality monitoring system and water quality modeling were applied to analyze the causes. Pollutant can be delivered to urban streams by surface runoff and combined sewer overflows in rainfall events. However, water quality analysis and water quality modeling results indicate that the abrupt fish kills in the Yudeung stream seems to be caused by combined effect of DO depletion, increase in turbidity and other toxic material. Excessive fish population in the study area may harm the aesthetic value of the stream and also has greater potential for massive fish kills. It is suggested to implement methods to reduce delivery of pollutants to the stream not only to prevent fish kills but also to keep balance of ecosystem including human uses. Frequent clean up of the urban surface and CSO, installation of detention basin will be helpful. In the long run, it seems combined sewer system has be replaced with separate sewer system for more effective pollutant removal in the urban area.

Development of integrated marine monitoring network on southern coastline of Caspian sea

  • Najafi-Jilani, A.;Nik-Khah, A.
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제3권2호
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    • pp.136-140
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    • 2011
  • Monitoring of water surfaces through permanent measurement of hydrodynamic and meteorological data is one of the main requirements in safe and sustainable water management. The Caspian Sea, the major surface water body in Iran, significantly affects more than 600 km of urban and industrial coastline. In the present work, an integrated marine monitoring network for the entire southern coastline of the Caspian Sea was developed. The main design concerns centered on the network measuring components and data recording, checking, filtering, gap recognition, and transferring systems. Four coastal monitoring stations were assigned, along with two regional collecting stations and one central data station for gathering, checking and delivering recorded data at different access levels. Applicable guidelines on selection of measuring devices for both shallow and deep water zones are presented herein.

수중안전을 위한 인체 위치추적 모니터링 장치 구현 (Implementation of Human Positioning Monitoring Device for Underwater Safety)

  • 윤종화;윤달환
    • 전기전자학회논문지
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    • 제27권3호
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    • pp.225-233
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    • 2023
  • 본 논문은 해양사고 시 인체 인양정보를 모니터링하는 시스템을 구현한다. 모니터링 시스템은 수중환경 정보를 송신하는 인양기구제어기를 통하여 초음파 통신을 수행하며, 수상에서는 관제센터 또는 모선까지 10 km내 GPS 정보를 제공하기 위해 LoRa 통신을 수행한다. 수중 인양제어기는 공압 센서, 자이로 센서 및 온도센서 정보를 전송한다. 수중조건은 수심 10m 마다 수압 1기압씩 높아지고, 기구의 공기양은 육상에 비해서 1/2씩 줄어드는 환경에서 60 kg 수중 마네킹을 모델을 사용한다. 인양기구 SMB(Surface Marker Buoy)에 38g의 CO2 카트리지 1개를 사용하여 10 sec 이내에 수면 상승 조건을 기반으로 인양기구 출수 시험을 한다. 수중 통신은 수심 40m에서 100m까지 2,400bps 초음파 센서를 이용하여 데이터 전송환경을 구성한다. 모니터링 신호는 수심, 수온, 방향각 등을 수면 위의 구조요원에게 제공함으로써 인양작업자의 안전과 안전한 인체 구조를 목표로 한다.

Landsat TM과 MODIS 영상을 이용한 새만금해역 표층수온 변화 탐지 (The Change Detection of SST of Saemangeum Coastal Area using Landsat and MODIS)

  • 정종철
    • 환경영향평가
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    • 제20권2호
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    • pp.199-205
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    • 2011
  • The Saemangeum embankment construction have changed the flowing on the topography of the coastal marine environment. However, the variety of ecological factors are changing from outside of Saemangeum embankment area. The ecosystem of various marine organisms have led to changes by sea surface temperature. The aim of this study is to monitoring of sea surface temperature(SST) changes were measured by using thermal infrared satellite imagery, MODIS and Landsat. The MODIS data have the high temporal resolution and Landsat satellite data with high spatial resolution was used for time series monitoring. The extracted informations from sea surface temperature changes were compared with the dyke to allow them inside and outside of Saemangeum embankment. The spatial extent of the spread of sea water were analyzed by SST using MODIS and Landsat thermal channel data. The difference of sea surface temperature between inland and offshore waters of Saemangeum embankment have changed by seasonal flow and residence time of sea water in dyke.