• Title/Summary/Keyword: 모니터링 지표

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A study on the prediction of total nitrogen concentration based on sensors and intelligent algorithms (센서 및 지능형 알고리즘 기반 총 질소 농도 예측 연구)

  • Su Han Nam;Jae Hyun Kwon;Young Do Kim
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.154-154
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    • 2023
  • 수질모니터링은 수자원 보존과 공중 보건에 있어 매우 중요하다. 기후변화로 인한 이상강우와 산업화 등의 이유로 비점오염물질 및 오염원 배출량이 증가하여 하천과 호소에 영양염류가 증가하게 된다. 영얌염류의 증가로 하천에 부영양화 상태가 지속된다면 녹조발생 등으로 인해 생태계에 부정적 영향을 초래하게 된다. 또한 부영양화는 원수의 유기물량 증가로 인해 처리비용 증가, 이취미 문제 등 인간에게도 직접적인 문제를 유발한다. 특히 우리나라의 경우 하천 취수율이 높은 국가이며, 낙동강 중상류 지역에는 산업시설이 과도하게 밀집되어 있어 하천에 오염물질 유입이 되어 부영양화가 된다면 심각한 문제를 유발하게 된다. TN은 부영양화의 중요한 지표다. 우리나라의 TN 측정은 시료 채수 후 실험실에서 수질오염공정 시험기준에 따라 진행이 된다. 실험실 분석은 TN 농도를 분석하는 일반적인 방법이며, 정확한 검출 및 정량화를 목표로 한다. 하지만 이러한 방식은 정교한 장비를 갖춘 전문 실험실 및 전문 인력을 필요로 한다. 환경부에서 주요 하천에 수질측정망을 설치하여 수질현황에 대한 종합적인 조사를 통해 수질변화 추세를 파악하는 것이 가능하지만, 실시간 TN 농도를 감지하는데 매우 제한적이다. 현재 조사방식은 TN 농도 증가로 인한 문제에 대해 초기대응을 하기에는 한계가 있다. 최근 센서의 발전으로 다양한 항목을 신속하고 지속적으로 모니터링 할 수 있게 되었다. TN에 대한 직접적인 센서 모니터링은 불가능 하지만 여러 측정 항목이 TN과 상관관계가 있는 것이 여러 연구에서 입증되었다. 이러한 결과를 바탕으로 본 연구에서는 오염도가 높은 낙동강을 대상으로 TN 예측에 대한 기초 연구를 진행하였다. 과거 측정된 자료를 활용하여 센서로 측정 가능한 항목을 통해 TN 예측을 진행하며, 실제 활용을 위해 회귀식을 도출하고자 한다. 최근 환경부에서 실시간 수질 현황 및 오염도를 파악하기 위해 자동측정망 지점을 늘리는 추세인데, 본 연구의 결과를 활용한다면 실시간 TN 예측에 대한 기초자료 활용될 수 있을 것으로 판단된다.

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A study on the Seoul and Gangdong-gu Street Monitor Comparative Analysis for Safety Walking Environment (안전보행환경을 위한 서울과 강동구거리모니터 비교 분석 연구)

  • Kim, Sung Soo;Noh, Kyung Ran;Lee, Tae Shik
    • Journal of Korean Society of Disaster and Security
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    • v.7 no.1
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    • pp.1-8
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    • 2014
  • This research has been studied through the actual conditional investigation about street monitoring from January to December of 2013 in Seoul city primally. As the result of this research, it has been performed aleady the Seoul city's BIS (Balanced Index Score) goal of 2013. The 18,490 cases were reported through the street monitoring activities. Despite of increasing drastically for 1,151 cases's record of 2012, Street monitoring activity appeared wide variations in the region, ages, vocation and gender. Also it depended on 25 outstanding persons of merely 3.9%. They reported 13,880 cases that run to 75.1%. On the basis of Herbert W. Heinrich's Domino theory and law of 1:29:300, the dead of 54, seriously and the slightly injured of 1,573 and the latent injured of 16,275 were decreased by eliminating unsafe state. It respected and protected the 17,903 Seoul citizen's life. This study suggested a effective improvemental method of monitoring activity by dawing a problem through Seoul and Gangdong-gu street monitor comparative analysis.

Establishment of content criteria of marker compounds through the monitoring of Achyranthis Radix collected from Korea and China (한국 및 중국 지역에서 수집된 우슬의 모니터링을 통한 지표성분의 함량기준 설정)

  • Kim, Dae-Hyun;Kim, Sang-Hyuk;Jang, Yu-Seon;Shin, Min-Chul;Chu, Van Men;Lee, Young-Keun;Woo, Mi-Hee;Kang, Jong-Seong
    • Analytical Science and Technology
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    • v.25 no.4
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    • pp.250-256
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    • 2012
  • Two marker compounds of Achyranthis Radix, ecdysterone and inokosterone, were analyzed by HPLC on an ODS column ($250{\times}4.6$ mm, 5 ${\mu}m$) with a mobile phase of 15% acetonitrile containing 0.08% formic acid at a flow rate of 1.0 mL/min and a detection wavelength of UV 254 nm. The method was validated by ICH guideline and applied to the monitoring of marker compounds in 93 samples of Achyranthis Radix collected at various areas in Korea and China. The new content criteria of ecdysterone and inokosterone, established using linear regression method were 0.033% and 0.020%, respectively. When the new content criteria were applied to the quality control test of commercial Achyranthis Radix, 95.4% of total samples including 100% of Korean and 92.6% of Chinese samples were passed the test. Application of new content criteria could protect the Korean products and decrease the distribution of Chinese products with lower quality.

Microstructure of Spider Booklung as Bio-indicator for Monitoring Environmental Asbestos Exposure (거미 서폐의 미세구조와 석면노출 환경의 모니터링을 위한 생물지표적 유용성 평가에 관한 연구)

  • Kim, Chang-Mo;Moon, Myung-Jin
    • Korean Journal of Environmental Biology
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    • v.32 no.1
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    • pp.49-57
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    • 2014
  • Orb-web spiders can be considered as an effective bio-indicative animal to monitor the ecological air pollution of certain habitat since they have limited shifting ability during their life spans. In this study we revealed the fine structural characteristics of booklung in the orb-web spider Nephila clavata, and its bio-indicative significance in the monitoring environmental asbestos exposure. The high resolution scanning electron microscopy results suggest that the cuticular spikes near the atrium could be act as an effective filtering structure for dust materials. Furthermore, inner cuticular spikes which protruded across the air sacs, have the functions not only sustaining appropriate respiratory volume of each air sac but also help to enhance respiratory capacity by maximizing the gross surface area for gas exchange. Interestingly, in spite of short exposure, the asbestose fibrils were effectively captured on the surface of the atrial cuticular spikes. Furthermore, histologic damages were observed due to penetration of asbestos fibrils through air sacs and fixed on the hemolymph space. In addition, although accumulated mass of hemocytes were observed near the fibrils, there were no asbestos bodies or coagulated hemocytes were found on the surface of the fibrils, This could be mainly due to the short exposure period towards asbestos. Briefly, these results indicate the spider's booklung could be valuable tool in the detection ecological air pollutants.

Development of Drought Assessment Scheme using Root Zone Soil Moisture (토양수분을 이용한 가뭄평가기법 개발)

  • Shin, Yongchul;Park, KyungWon;Yoon, Sunkwon;Jung, Younghun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.24-24
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    • 2015
  • 최근 원격탐사기법을 이용한 많은 가뭄평가기법들이 개발되었으나 산림과 함께 산악지형이 우세한 우리나라의 경우 지형특성으로 인하여 가뭄평가시 불확실성이 증가하게 된다. 특히, 농업가뭄은 기후와 지표특성에 큰 영향을 받기 때문에 기후특성만을 고려한 가뭄지수는 실제 필요한 농업가뭄의 특성을 반영하는데 있어서 한계가 있다. 따라서 본 연구에서는 기후와 지표특성을 함께 고려할 수 있는 토양수분을 이용한 가뭄평가기법(Drought Assessment Scheme)을 개발하였다. 가뭄평가기법을 위하여 역추적기법(Inverse Modeling-IM) 기반의 자료동화기법(Data Assimilation, DA)을 이용하였다. 자료동화기법은 1-Dimensional (1-D) 기반의 토양의 물리적 특성을 고려하는 SWMI_ST 모형과 최적화 알고리즘(유전자 알고리즘, Genetic Algorithm-GA)을 연계하여 실측 및 위성기반의 토양수분자료로부터 토양의 수리학적 매개변수(${\alpha}$, n, ${\Theta}_{res}$, ${\Theta}_{sat}$, $K_{sat}$)를 추출한다. 본 연구에서는 LANDSAT(30 m X 30 m) 및 MODerate Resolution Imaging Spectroradiometer(MODIS, 500 m X 500 m) 이미지자료를 이용하여 시 공간적으로 분포되어 있는 토양수분을 산정하였으며, 이후 자료동화기법을 이용하여 LANDSAT/MODIS 토양수분자료로 부터 공간적으로 분포되어 있는 토양의 매개변수를 추출하였다. 추출된 매개변수, GIS 기반의 지표피복 및 기상자료를 이용하여 장기간의 토양수분을 산정 및 예측 할 수 있다. 고해상도의 이미지 자료를 사용하는 가뭄평가기법은 필지~시 군 단위까지 실제 우리나라 지형특성을 고려하여 효율적으로 가뭄을 모니터링 및 예측 할 수 있다.

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The Evaluation of Existing Congestion Indices' Applicability for Development of Traffic Condition Index (소통관리 지표 개발을 위한 기존 혼잡지표의 국내 적용성평가 연구)

  • Lee, Seung-Jun;Kim, Tae-Young;Ko, Han-Geom;Bok, Ki-Chan
    • International Journal of Highway Engineering
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    • v.10 no.3
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    • pp.119-128
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    • 2008
  • On the many highways, severe traffic congestions happen chronically and make traffic problems like reduction of mobility because of rapid increase of vehicles though road construction has been last. In order to solve these traffic problems, it is needed to find the trend and the symptom of traffic congestion and to analyze the cause of congestion and the(spatial) range affected by congestion. To develop the traffic condition monitoring index prior to doing all those things is most important. With this reason, many countries including U.S. had been developed the congestion criteria and indices. In this paper, applicability and characteristics of existing traffic congestion indices were considered and the direction for development of a new traffic condition index was suggested to achieve an effective traffic management.

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Application of the Carabid Beetles as Ecological Indicator Species for Wetland Characterization and Monitoring in Busan and Gyeongsangnam-do (습지지표종으로서 딱정벌레류를 이용한 부산, 경남 주요 습지의 특성 및 변화 관찰)

  • Do, Yu-Do;Moon, Tae-Young;Joo, Gea-Jae
    • Korean Journal of Environment and Ecology
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    • v.21 no.1
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    • pp.22-29
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    • 2007
  • Investigation of carabid beetles as on ecological indicator species for wetland characterization and monitoring was conducted in three types of wetlands such as emergent wetland, forested wetland, and estuary, During the investigation period, twenty-eight species belonging to twenty-two genera and three families(Carabidae, Harpalidae, Brachinidae) were identified. The diversity of carabid beetles at riverine wetland such as Woopo (H'=1.18) and Hwapo-neup (H'=1.08) were higher than in the forested wetland (H'=1.03) and estuarine (H'=0.91). Species compositions in each wetland were significantly different(${\chi}^2=1716.8$, P<0.01). Riverine wetlands differed significantly from the forested wetland. Indicator species for the wetland chose with indicator species analysis were reacted sensitively on the parameter such as soil composition, moisture of soil, and environmental change. Thus, it was consequently suggested that these indicator species may be applied for wetland characterization and monitoring of the wetland ecosystem.

Optimum conditions for artificial neural networks to simulate indicator bacteria concentrations for river system (하천의 지표 미생물 모의를 위한 인공신경망 최적화)

  • Bae, Hun Kyun
    • Journal of Korea Water Resources Association
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    • v.54 no.spc1
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    • pp.1053-1060
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    • 2021
  • Current water quality monitoring systems in Korea carried based on in-situ grab sample analysis. It is difficult to improve the current water quality monitoring system, i.e. shorter sampling period or increasing sampling points, because the current systems are both cost- and labor-intensive. One possible way to improve the current water quality monitoring system is to adopt a modeling approach. In this study, a modeling technique was introduced to support the current water quality monitoring system, and an artificial neural network model, the computational tool which mimics the biological processes of human brain, was applied to predict water quality of the river. The approach tried to predict concentrations of Total coliform at the outlet of the river and this showed, somewhat, poor estimations since concentrations of Total coliform were rapidly fluctuated. The approach, however, could forecast whether concentrations of Total coliform would exceed the water quality standard or not. As results, modeling approaches is expected to assist the current water quality monitoring system if the approach is applied to judge whether water quality factors could exceed the water quality standards or not and this would help proper water resource managements.

A Monitoring for Citizen Participation in Artificial Nest Boxes Using Mobile Applications (모바일 애플리케이션을 활용한 시민참여 인공새집 모니터링 방안 연구)

  • Kyeong-Tae Kim;Hyun-Jung Lee;Chae-Young Kim;Whee-Moon Kim;Won-Kyong Song
    • Korean Journal of Environment and Ecology
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    • v.37 no.3
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    • pp.221-231
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    • 2023
  • Great tit (Parus major) is a bioindicator species that can measure environmental changes in urban ecosystems and plays an important role in maintaining health as a representative insectivorous bird. Researchers have utilized artificial nest box surveys to understand the reproductive ecology of the Paridae family of birds, including the Great tits, but it is difficult to conduct a macroscopic study due to spatial and temporal limitations. This study designed and applied a citizen-participatory monitoring of artificial nest boxes project to transcend the limitations of expert-centered monitoring methods. The Suwon Front Yard Bird Monitoring Team installed artificial nest boxes in green spaces in Suwon, Gyeonggi Province and observed the reproductive ecology of the Paridae family through the participation of voluntary citizen surveyors. Participants were recruited through an online survey from February 9 to February 22, 2021, and they directly performed from installation to observation of artificial next boxes from February 23 to August 31, 2021. Online education was provided to the volunteers for the entire monitoring process to lower the entry barrier for non-expert citizen surveyors and collect consistent data, and observation records were collected through a mobile app. A total of 98 citizen surveyors participated in the citizen-participatory monitoring of artificial nest boxes project, and 175 (84.95%) of the 256 distributed artificial nest boxes were installed in green spaces in Suwon City. Among the installed artificial nest boxes, the results of the citizen science project were confirmed for 173 (83.98%), excluding two boxes with position coordinate generation errors. A total of 987 artificial nest box observation records were collected from citizen surveyors, with a minimum of one time, a maximum of 26 times, and an average of 5.71±4.37 times. The number of observations of artificial birdhouses per month was 70 times (7.09%) in February, 444 times (44.98%) in March, 284 times (28.77%) in April, 133 times (13.48%) in May, 46 times (4.66%) in June, 6 times (0.61%) in July, and 4 times (0.41%) in August. Birds using the artificial nest boxes were observed in 57 (32.95%) of the 173 installed artificial nest boxes, and they included Great tit (Parus major) using 12 boxes (21.05%), Varied Tit (Parus varius) using 7 boxes (12.28%), and unidentified birds using 38 boxes (66.67%). This study is the first to consider citizen participation in the monitoring of artificial nest boxes, a survey method for the reproductive ecology of the Paridae family, including Great tits, and it can be utilized as basic data for the design of ecological monitoring combined with citizen science in the future.

The Probabilistic Drought Analysis Based on Ensemble Technique through the MSWSI Improvement (MSWSI 개선을 통한 앙상블기법 기반 확률론적 가뭄해석)

  • Jang, Suk Hwan;Lee, Jae-Kyoung;Jo, Jun Won
    • Proceedings of the Korea Water Resources Association Conference
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    • 2018.05a
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    • pp.300-300
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    • 2018
  • 최근 우리나라는 봄철 지속적으로 가뭄이 발생하는 추세로 모니터링과 더불어 가뭄 피해를 경감할 수 있도록 가뭄해석 기법이 필요하다. 이를 위해 우선적으로 우리나라 실정에 적합한 가뭄지수를 산정하고, 개선을 통해 가뭄정보들이 수자원확보를 위한 관리와 정책에 활용되어야 한다. 이에 따라 본 연구에서는 국내 기존에 활용되고 있는 수문학적 가뭄지수인 개선된 지표수공급지수(MSWSI : Modified Surface Water Supply Index)를 선정하고 개선하였으며, 개선된 MSWSI를 이용하여 앙상블기법 기반의 확률론적 가뭄해석을 수행하였다. MSWSI의 개선에 있어서는 우선, 유역 내 공식적으로 수집되는 모든 수문기상인자를 조사하여 기존 MSWSI에서 적용한 강수량, 하천유량, 댐 유입량, 지하수량 4가지 인자와 사용 가능한 댐 저수위, 댐 방류량 인자를 추가하여 반영하였다. 또한 각 수문인자들에 대하여 인자별로 적합한 확률분포를 적용하였다. 또한 극심한 가뭄이 발생한 2006년과 2014년을 대상으로 비교 검토를 실시하고, 앙상블기반 확률론적 가뭄전망을 수행하고 검증하였다. 연구결과, 본 연구에서 개선한 MSWSI가 2006년과 2014년 발생한 가뭄현상을 더 잘 나타내는 것으로 분석되었다. 또한 실제 수문기상현상을 더욱 잘 반영하여 실제 가뭄과 유사한 가뭄결과로 분석되어, 개선된 MSWSI가 효용성이 있음을 확인하였다. 또한 앙상블 기반의 확률론적 가뭄전망 결과, 본 연구에서 개선한 MSWSI를 이용하였을 때 더 우수한 것으로 분석되었다. 대부분의 유역에서 실제 가뭄지수가 개선된 MSWSI를 이용한 가뭄전망 범위에 속하는 것으로 나타나, 본 연구에서 개선한 MSWSI를 활용한다면 보다 정확한 가뭄모니터링 수행이 가능하며, 가뭄전망의 정확성을 높일 것으로 판단된다.

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