• Title/Summary/Keyword: 지하도로

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Projection of Temporal and Spatial Precipitation Characteristic Change in Urban Area according to Extreme Indices (극한기후 지수에 따른 도시지역의 시공간적 강우 특성 변화 전망)

  • Soo Jin Moon;In Hee Yeo;Ji Hoon Choi
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.316-316
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    • 2023
  • 2022년 8월 수도권 이상폭우로 인해 서울 도심지역의 지하시설, 도로, 주택 등에 침수가 발생하면서 인명 및 재산피해가 발생하였으며, 특히 동서로 가로지르는 정체전선으로 좁고 긴 비구름이 집중되면서 국지적으로 피해가 집중되었다. 서울시의 경우 도시화에 따른 불투수지역 증가 및 내수배제 불량에 따른 빗물 역류로 인한 피해가 지속적으로 발생하고 있으며, 최근에는 기후변화에 따른 방재성능목표 강우량을 초과하는 빈도의 이상폭우로 인해 하천범람과 내수배제 불량에 따른 복합적인 원인으로 침수피해 가중되고 있는 실정이다. 또한 서울시의 경우 전체 자연적, 사회적, 경제적, 환경적 요인 등의 지역적 편차가 매우 큰 도시로 지형적인 특성뿐만 아니라 취약시설(병원, 학교 등), 수방시설물(하천, 배수시설, 빗물펌프장 등) 및 방재시설(대피소, 구호소 등) 밀도 등에 따른 침수 취약성 및 위험성 등의 편차가 매우 크기 때문에 지역특성에 대한 피해사례가 다원화 되고 있는 실정이다. 본 연구에서는 30년 이상의 종관기상관측(ASOS)과 서울시 자치구별 20년 이상의 방재기상관측(AWS)자료를 기반으로 CMIP6 SSP(Shared Socioeconomic Pathways, 공통사회 경제경로)시나리오에 따른 극한기후 지수(강수강도, 호우일수, 지속기간, 1일 최대강수량, 95퍼센타일 강수일수 등)에 대한 재현성을 평가하고 공간자기상관분석 등 시공간적인 강우특성에 대한 변화를 전망하였다. 특히 여름철 강우의 경우 자치구별 편차가 크게 나타났고 이를 통해 대도시의 도심지역의 경우 세분화하여 지역의 정확한 강우특성을 파악하는 것이 필요하다는 것을 확인할 수 있었다. 본 연구의 결과는 도심지의 방재성능 초과강우 정의와 기준을 수립하고, 장기적인 수자원 및 도시계획 차원의 대책을 마련하는데 활용될 수 있을 것으로 판단된다. 기후위기에 따른 기록적인 호우(지역별 방재성능을 초과하는 강우)에 따른 재해는 구조적인 대책을 통해 모두 저감할 수 없는 한계가 있다. 하지만 인명피해를 최소화하는 것을 목표로 기후위기에 대한 적응단계로 인식하고 수리·수문학적, 사회경제학적 등 지역특성에 따른 방재성능목표 강우량에 대한 재검토와 더불어 법제도(풍수해보험, 저류조설치 의무화 등), 개인별 재해예방, 취약계층 안전망 확보, 반지하주택 침수안전대책, 재해지도 개선 등 구조적/비구조적인 대책을 통합 수립 및 보완하는 것이 필요한 시점이다.

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Analysis of enzyme activity changes caused by flooding stress in upland crops (침수 스트레스에 의한 밭작물의 효소활성 변화 분석)

  • Juhyung Shin;Byeonggyu Kim;Kihwan Kim;Tae-An Kang;Won-Chan Kim
    • Korean Journal of Environmental Biology
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    • v.40 no.3
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    • pp.341-351
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    • 2022
  • Among various environmental stresses, humid stress lacks mechanisms and biochemical understanding compared to drought, low temperature, and high salt stresses. The aim of this study was to investigate enzyme activity of field crops under humidity stress. Results of this study could be used as basic data for understanding humidity stress and early diagnosis. Growth and enzyme activities of sesame, perilla, red beans, sorghum, and beans as major field crops in Korea when flooded were investigated. It was confirmed that growths of both shoots and roots were retarded. In plants, anaerobic fermentation occurred due to flooding stress, which increased the activity of alcohol dehydrogenase (ADH) compared to the control group. Increases of reactive oxygen species (ROS) were also observed. All flooded plants showed increased peroxidase (POD) activity and lipid peroxidation. Their dyeing strength was darker than that of the control group, even in 3,3'-diaminobenzidine (DAB) staining. Since enzyme activity changes in plants appear relatively faster than changes in phenotype at the ground level, they could be used as biomarkers for early diagnosis of humidity stress in crops.

Detection of Steel Ribs in Tunnel GPR Images Based on YOLO Algorithm (YOLO 알고리즘을 활용한 터널 GPR 이미지 내 강지보재 탐지)

  • Bae, Byongkyu;Ahn, Jaehun;Jung, Hyunjun;Yoo, Chang Kyoon
    • Journal of the Korean Geotechnical Society
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    • v.39 no.7
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    • pp.31-37
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    • 2023
  • Since tunnels are built underground, it is impossible to check visually the location and degree of deterioration of steel ribs. Therefore, in tunnel maintenance, GPR images are generally used to detect steel ribs. While research on GPR image analysis employing artificial neural networks has primarily focused on detecting underground pipes and road damage, there have been limited applications for analyzing tunnel GPR data, specifically for steel rib detection, both internationally and domestically. In this study, a one-step object detection algorithm called YOLO, based on a convolutional neural network, was utilized to automate the localization of steel ribs using GPR data. The performance of the algorithm is then analyzed. Two datasets were employed for the analysis. A dataset comprising 512 original images and another dataset consisting of 2,048 augmented images. The omission rate, which represents the ratio of undetected steel ribs to the total number of steel ribs, was 0.38% for the model using the augmented data, whereas the omission rate for the model using only the original data was 7.18%. Thus, from an automation standpoint, it is more practical to employ an augmented dataset.

A Study on Evacuation Guidance using Location Identification Technology for Disaster (재난시 위치식별기술을 활용한 피난 유도에 관한 연구)

  • Moon, Sang-ho;Yu, Young-jung;Lee, Chul-gyoo
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.12
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    • pp.937-946
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    • 2017
  • Recently, urban structures including buildings are becoming increasingly large and super high-rise in order to make human life more convenient. As the number of super high-rise buildings increases, however, the risk of fire and other disasters is increasing. Especially, it is expected that deaths and injuries will be tremendous than imagined if the evacuation guidance is not provided promptly and precisely for the occupants in case of a fire in super high-rise buildings. Therefore, rapid rescue should be done for those who are in need of residence or rescue in the building. To do this, identification of the size and location of people inside the building should be preceded. To do this, first, we conduct a preliminary study on existing location tracking technologies to identify occupants. Based on this, in this paper, we will study how to improve evacuation time in case of a fire in super high-rise buildings. For this purpose, we utilize the location tracking technology to identify the number of people in real time and improve the density when a disaster such as a fire occurs.

Growth Characteristics according to GA3 Treatment of Angelica acutiloba (Siebold & Zucc.) Kitagawa (일당귀의 GA3 처리에 따른 생육특성)

  • Dae Hui Jeong;Yeong Bae Yun;Jeong Hoon Huh;Hong Woo Park
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2022.09a
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    • pp.46-46
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    • 2022
  • 본 연구의 목적은 약용과 식용으로서의 활용도가 높은 일당귀[Angelica acutiloba (Siebold & Zucc.) Kitagawa]의 GA3농도에 따른 생육특성을 확인하고, 최적의 재배기술 개발 및 지속가능한 안정적인 작물생산에 대한 기초자료의 제공에 있다. 연구재료는 강원도 태백시에 위치하는 일당귀 재배농가에서 2021년 10월에 채종한 종자를 구입하였고, 영주시 풍기읍에 위치한 연구온실에서 연구를 수행하였다. 일당귀의 종자를 증류수에 48시간 침지 후 GA3농도 4조건(50 ppm, 100 ppm, 500 ppm, 1,000 ppm)에 24시간 처리 후 72구 포트에 파종 후 출아율과 생육특성을 조사하였다. 연구결과 일당귀 종자는 16일이 경과한 시점부터 출아를 시작하였고, 500 ppm처리구에서 73.3%로 가장 높은 출아율을 나타냈다. 생육특성조사는 출아 후 40일(1차)과 80일(2차) 경과된 시점에서 총 2회를 수행하였는데 1차 생육조사에서는 주근길이와 직경을 제외한 모든 생육특성에서 처리구별 생육의 차이가 확인되지 않았으나 2차 생육조사에서는 지상부와 지하부의 모든 생육특성에서 처리구별 생육의 차이가 확인되었다. 잎수(6.3개)와 주근길이(4.26 cm)는 500 ppm처리구에서 가장 높은 생육량을 나타냈고, 지상부 높이(21.81 cm), 잎길이(9.0 cm), 잎너비(10.77 cm), 주근직경(5.71 mm)은 1,000 ppm처리구에서 가장 높은 생육량을 나타냈다. 따라서 GA3 처리에 따른 일당귀의 생육특성은 생육초기보다 후기로 갈수록 발현량이 높게 나타나는 것으로 판단된다. 또한 저농도의 GA3처리보다 500-1,000 ppm 사이의 처리농도가 적합한 것으로 판단되며, 추후 일당귀의 유용성분 분석을 통한 이화학적 연구가 추가된다면 최적의 재배기술 확립을 통한 안정적인 작물 생산에 기여할 수 있을 것이라 사료된다.

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Application of Multiple Linear Regression Analysis and Tree-Based Machine Learning Techniques for Cutter Life Index(CLI) Prediction (커터수명지수 예측을 위한 다중선형회귀분석과 트리 기반 머신러닝 기법 적용)

  • Ju-Pyo Hong;Tae Young Ko
    • Tunnel and Underground Space
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    • v.33 no.6
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    • pp.594-609
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    • 2023
  • TBM (Tunnel Boring Machine) method is gaining popularity in urban and underwater tunneling projects due to its ability to ensure excavation face stability and minimize environmental impact. Among the prominent models for predicting disc cutter life, the NTNU model uses the Cutter Life Index(CLI) as a key parameter, but the complexity of testing procedures and rarity of equipment make measurement challenging. In this study, CLI was predicted using multiple linear regression analysis and tree-based machine learning techniques, utilizing rock properties. Through literature review, a database including rock uniaxial compressive strength, Brazilian tensile strength, equivalent quartz content, and Cerchar abrasivity index was built, and derived variables were added. The multiple linear regression analysis selected input variables based on statistical significance and multicollinearity, while the machine learning prediction model chose variables based on their importance. Dividing the data into 80% for training and 20% for testing, a comparative analysis of the predictive performance was conducted, and XGBoost was identified as the optimal model. The validity of the multiple linear regression and XGBoost models derived in this study was confirmed by comparing their predictive performance with prior research.

Analysis of Keywords in national river occupancy permits by region using text mining and network theory (텍스트 마이닝과 네트워크 이론을 활용한 권역별 국가하천 점용허가 키워드 분석)

  • Seong Yun Jeong
    • Smart Media Journal
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    • v.12 no.11
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    • pp.185-197
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    • 2023
  • This study was conducted using text mining and network theory to extract useful information for application for occupancy and performance of permit tasks contained in the permit contents from the permit register, which is used only for the simple purpose of recording occupancy permit information. Based on text mining, we analyzed and compared the frequency of vocabulary occurrence and topic modeling in five regions, including Seoul, Gyeonggi, Gyeongsang, Jeolla, Chungcheong, and Gangwon, as well as normalization processes such as stopword removal and morpheme analysis. By applying four types of centrality algorithms, including stage, proximity, mediation, and eigenvector, which are widely used in network theory, we looked at keywords that are in a central position or act as an intermediary in the network. Through a comprehensive analysis of vocabulary appearance frequency, topic modeling, and network centrality, it was found that the 'installation' keyword was the most influential in all regions. This is believed to be the result of the Ministry of Environment's permit management office issuing many permits for constructing facilities or installing structures. In addition, it was found that keywords related to road facilities, flood control facilities, underground facilities, power/communication facilities, sports/park facilities, etc. were at a central position or played a role as an intermediary in topic modeling and networks. Most of the keywords appeared to have a Zipf's law statistical distribution with low frequency of occurrence and low distribution ratio.

Effect of Air Pollution on Cherry Tree (Prunus yedoensis Matsumara) Planted on National Roadsides between Cheonju and Kunsan City(II) - Chlorophyll, Magnesium and Sodium Contents in the Leaves - (대기오염(大氣汚染)이 전주(全州)-군산간(群山間) 국도변(國道邊) 왕벚나무에 미치는 영향(影響)(II) - Chlorophyll, Mg 및 Na 함유량(含有量)을 중심으로 -)

  • Hwang, Yu Chul;Kim, Chang Ho;Yim, Kyong Bin
    • Journal of Korean Society of Forest Science
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    • v.81 no.3
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    • pp.224-233
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    • 1992
  • This report succeds the previous paper, the source of materials and statistical designs used were not altered. Under the hypothesis of maleffect of atmospheric pollutions emitted mainly by traffic automobiles on 20-year-old, Prunus yedoensis roadside trees planted along national road between Cheonju abd Kunsan, chlorophyll a and b contents, magnesium and sodium contents of leaves were analysed on September 15. Besides control sites considered to be a pollution free district, 20 polluted road-side sites, 10 on left roadside and 10 on right roadside, oppositely faced in pairs were selected. The leaves collected from 5 trees at each sampling site were bulked to eliminate the individual tree variation. Chlorophyll were extracted by Mackinney and Arnon method. The results obtained are as follows : 1. The planting belt width between road shoulder and paved road face edge for cherry trees, 160~170cm, was considered too narrow for the growing space. 2. On an average, the total chlorophyll content between Cheonju and Iri($8.60{\sim}9.31ml/cm^2$) was lower than that for between Iri and Kunsan($9.24{\sim}10.74ml/cm^2$). 3. The chlorophyll b content showed the difference, higher on right roadside and lower on left side. However this difference could be confirmed by matched pair T-test at 10% level. 4. Without exception, the chlorophyll contents of control sites were higher than those of road-side trees, implying the maleffect of atmospheric pollutants on cherry tree growth. 5. On the contrary, magnesium and sodium contents of the leaves of road-side trees were higher than that of control site trees.

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Functional MRI of Visual cortex in the Patients with Occipital Lobe Ischemia (후두엽의 허혈성 뇌졸중 환자에서 시각피질의 기능적 자기공명영상)

  • 이영준;정태섭;윤영수;한승한;조영재;배준호
    • Investigative Magnetic Resonance Imaging
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    • v.3 no.2
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    • pp.173-178
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    • 1999
  • Purpose : To evaluate the usefulness of functional MRI (fMRI) of visual cortex in patients with ischemic infarction in the occipital lobe. Materials and Methods : Four patients with the symptoms and signs of visual cortical ischemia were included. Functional MRI was performed by 2D-FLASH technique with the parameter of 90/56msec TR/TE, $40^{\circ}$ flip angle, $240{\times}240{\;}FOV,{\;}64{\times}128$ matrix number, 8.32 seconds acquisition time, 8mm slice thickness. An axial slice including both visual cortices was selected and alternative activation and resting of the visual cortex was performed using red color photostimulator. all patients undertook visual field test, and vascular abnormality was examined by MRA (n=4) and DSA (n=2). fMRI results were compared with the results of a visual field test, conventional MRI and cerebral angiography. Results : On fMRI, decreased activity of the visual cortex was found in the occipital lobe corresponding to stenosis of the posterior cerebral artery or its branch noted on angiogram. However, 2 of 4 patients showed no abnormal findings on conventional MRI. Visual field defect was noted in 3 patients, one and of whom showed no abnormality on conventional MRI and diffusion-weighted image, but revealed decreased activity in the corresponding visual cortex on fMRI. Conclusion : fMRI may be a sensitive method for detection of the status of decreased blood flow or vascular reserve which other methods can not.

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Vertical Distribution of Heavy Metals in Paddy Soil Near Abandoned Metal Mines (폐금속광산 주변 논토양 중 중금속의 수직분포 특성)

  • Jung, Goo-Bok;Kim, Won-Il;Park, Kwang-Lai;Yun, Sun-Gang
    • Korean Journal of Environmental Agriculture
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    • v.20 no.4
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    • pp.297-302
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    • 2001
  • To compare the relationship between the vertical distribution of heavy metals in paddy soil and soil pH near four abandoned metal mines, 40 paddy surface soils $(0{\sim}15\;cm)$ and 12 soils with soil depths ($0{\sim}20$, $20{\sim}40$, $40{\sim}60$, $60{\sim}80$ and $80{\sim}100$ cm) were collected. Both total and extractable heavy metal contents in soils were analyzed after acid digestion $(HNO_3:HClO_4:H_2SO_4)$ and 0.1 N-HCl extraction, respectively. The 0.1 N-HCl fraction ratio over total contents of Cd, Cu, Pb, and Zn were 57, 30, 23, and 19% respectively. Vertical distribution of heavy metals varied considerably among the different mines. In Choil mine, there was no difference in concentrations of all the metals with soil layers. However, Cu and Pb contents in Gahak mime were high at $0{\sim}20\;cm$ depth, and Zn was high at $0{\sim}40\;cm$ depth. In Sinyemi mine, Cd and Cu contents were high at $0{\sim}40\;cm$ depth. Cd, Cu, and Pb contents in Okcheon mine were high through all soil profiles up to 100 cm soil depth. The 0.1 N-HCl fraction ratio over total contents of heavy metals with soil layers were very high at $0{\sim}20\;cm$ depth. As soil depth increased, fraction ratio of heavy metals decreased at the high soil pH (Gahak, Sinyemi, and Choil mines). However, the ratios of Cd, Cu, and Pb in Okcheon mine, having a relatively lower soil pH than other sites, were relatively similar through all the soil profiles up to 100 cm soil depth. Therefore, it was estimated that the mobility and availability of heavy metals in soils were affected by soil pH.

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