• 제목/요약/키워드: Urban Modeling

검색결과 798건 처리시간 0.032초

잠재 산림분포 변화를 고려한 토지이용도가 장래 기후변화에 미치는 영향 모사 (A Simulation Study on Future Climate Change Considering Potential Forest Distribution Change in Landcover)

  • 김재철;이종범;최성호
    • 환경영향평가
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    • 제21권1호
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    • pp.105-117
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    • 2012
  • Future climate according to land-use change was simulated by regional climate model. The goal of study was to predict the distribution of meteorological elements using the Weather Research & Forecasting Model (WRF). The KME (Korea Ministry of Environment) medium-category land-use classification was used as dominant vegetation types. Meteorological modeling requires higher and more sophisticated land-use and initialization data. The WRF model simulations with HyTAG land-use indicated certain change in potential vegetation distribution in the future (2086-2088). Compared to the past (1986-1988) distribution, coniferous forest area was decreased in metropolitan and areas with complex terrain. The research shows a possibility to simulate regional climate with high resolution. As a result, the future climate was predicted to $4.5^{\circ}$ which was $0.5^{\circ}$ higher than prediction by Meteorological Administration. To improve future prediction of regional area, regional climate model with HyTAG as well as high resolution initial values such as urban growth and CO2 flux simulation would be desirable.

공기업 근로자의 경력학습이 고용가능성에 미치는 영향에서 직무 전문성의 매개효과 (The Effect of Career Learning on Employability and the Mediating Effect of Job Expertise in a Public Corporation)

  • 이의중
    • 토지주택연구
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    • 제8권3호
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    • pp.123-130
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    • 2017
  • This study aims to empirically verify the impacts of career learning on employability and the mediating effect of job expertise in a public corporation. For the empirical analysis, I surveyed 958 employees(valid respondents) working in a public corporation. And the structural equation modeling(SEM) was used to statistically analize and test the research hypotheses. The independent variable is 'career learning', the dependent variable is 'employability' and the mediating variable is 'job expertise'. The results are as follows. The empirical analysis shows that the positive effects of 'career learning ${\rightarrow}$ job expertise', 'job expertise ${\rightarrow}$ employability' and 'career learning ${\rightarrow}$ employability' are all verified. And the mediating effect of job expertise between career learning and employability is also partially verified. So, all the proposed hypotheses are accepted. From this result, I can clearly suggest that the employees can be growing to professionals with high employability when they retire if they are voluntarily and self-motivated to set up their career plan and to enhance their job expertise. In this context, it is expected that the company should support the employees to continue to strengthen their own expertise in their job place through their mid-long term career learning plan.

도시유역 하수관로 관망정보 오차가 SWMM 모형의 유출결과에 미치는 영향 분석 - 도림천 대상유역 - (Variability on Urban Runoff using SWMM Modeling According to the Sewer information Error)

  • 황성환;김민석;손홍민;문영일
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2015년도 학술발표회
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    • pp.18-18
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    • 2015
  • 현재 국내 도시유역의 유출분석을 위한 많은 모형들 중에서 SWMM 모형은 지표면의 양상, 침투율, 하수관망 체계를 고려한 유출분석이 가능하고, 계산과정에서 부등류를 해석함으로써 하류관로의 배수위 영향을 고려할 수 있는 장점을 가지고 있어 도시유출해석에 많이 이용되고 있는 실정이다. 지하시설물인 하수관로는 유지관리가 어려운 시설물 중 하나이다. 지하에 위치한 하수관망도는 상부 외압에 의한 토양의 유동과 미세한 토류의 변화 등으로 지속적으로 유동이 발생하고 있는 실정이다. 또한, 육안을 통한 조사가 어려운 지하시설물이기 때문에 하수관로 정보의 유지관리가 어려운 실정이다. 맨홀은 하수관거의 제원이 변화된 지점, 흐름방향 및 경사가 급격하게 변하는 지점 등에 위치하고 있어 하수관로 정보를 관리하는 있다. 지하시설물인 하수관로는 관리가 용이하지 않기 때문에 지반침하 등으로 관거의 평균경사 등이 변경될 수 있다. 본 연구에서는 하수관로 상류 및 하류 관저고의 변화에 따른 민감도를 분석하고자 한다. 대상 유역의 모든 관로에 대한 영향을 객관적으로 검토하기 위하여 도시적인 해석을 토하여 관거정보의 오차에 따라서 유출에 미치는 영향을 분석하고 이런 문제를 해결할 수 있는 방안 들을 정리하여 향후, 하수관로 정보의 신뢰성 확보를 위하여 하수관망 정보의 정밀도 문제를 검토하는데 도움이 되고자 한다.

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Preliminary Modelling of Plasco Tower Collapse

  • Yarlagadda, Tejeswar;Hajiloo, Hamzeh;Jiang, Liming;Green, Mark;Usmani, Asif
    • 국제초고층학회논문집
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    • 제7권4호
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    • pp.397-408
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    • 2018
  • In a recent tragic fire incident, the Plasco Tower collapsed after an intense outburst of fire lasting for three and a half hours and claiming the lives of 16 firefighters and 6 civilians. This paper will present continuing collaborative work between Hong Kong Polytechnic University and Queen's University in Canada to model the progressive collapse of the tower. The fire started at the 10th floor and was observed to have travelled along the floor horizontally and through the staircase and windows vertically. Plasco Tower was steel structure and all the steel sections were fabricated by welding standard European channel or angle profiles and no fire protection was applied. Four internal columns carried the loads transferred by the primary beams, and box columns were constructed along the perimeter of the building as a braced tube for resisting seismic loading. OpenSees fibre-based sections and displacement-based beam-column elements are used to model the frames, while shell elements are used for the reinforced concrete floor slabs. The thermal properties and elevated temperature mechanical properties are as recommended in the Eurocodes. The results in this preliminarily analysis are based on rough estimations of the structure's configuration. The ongoing work looks at modeling the Plasco Tower based on the most accurate findings from reviewing many photographs and collected data.

조건부스펙트럼을 적용한 원전 격납건물의 비선형 동적 해석 기반 지진취약도평가 (Application of Conditional Spectra to Seismic Fragility Assessment for an NPP Containment Building based on Nonlinear Dynamic Analysis)

  • 신동현;박지훈;전성하
    • 한국지진공학회논문집
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    • 제25권4호
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    • pp.179-189
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    • 2021
  • Conditional spectra (CS) are applied to the seismic fragility assessment of a nuclear power plant (NPP) containment building for comparison with a relevant conventional uniform hazard response spectrum (UHRS). Three different control frequencies are considered in developing conditional spectra. The contribution of diverse magnitudes and epicentral distances is identified from deaggregation for the UHRS at a control frequency and incorporated into the conditional spectra. A total of 30 ground motion records are selected and scaled to simulate the probability distribution of each conditional spectra, respectively. A set of lumped mass stick models for the containment building are built considering nonlinear bending and shear deformation and uncertainty in modeling parameters using the Latin hypercube sampling technique. Incremental dynamic analysis is conducted for different seismic input models in order to estimate seismic fragility functions. The seismic fragility functions and high confidence of low probability of failure (HCLPF) are calculated for different seismic input models and analyzed comparatively.

Prediction of compressive strength of concrete modified with fly ash: Applications of neuro-swarm and neuro-imperialism models

  • Mohammed, Ahmed;Kurda, Rawaz;Armaghani, Danial Jahed;Hasanipanah, Mahdi
    • Computers and Concrete
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    • 제27권5호
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    • pp.489-512
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    • 2021
  • In this study, two powerful techniques, namely particle swarm optimization (PSO) and imperialist competitive algorithm (ICA) were selected and combined with a pre-developed ANN model aiming at improving its performance prediction of the compressive strength of concrete modified with fly ash. To achieve this study's aims, a comprehensive database with 379 data samples was collected from the available literature. The output of the database is the compressive strength (CS) of concrete samples, which are influenced by 9 parameters as model inputs, namely those related to mix composition. The modeling steps related to ICA-ANN (or neuro-imperialism) and PSO-ANN (or neuro-swarm) were conducted through the use of several parametric studies to design the most influential parameters on these hybrid models. A comparison of the CS values predicted by hybrid intelligence techniques with the experimental CS values confirmed that the neuro-swarm model could provide a higher degree of accuracy than another proposed hybrid model (i.e., neuro-imperialism). The train and test correlation coefficient values of (0.9042 and 0.9137) and (0.8383 and 0.8777) for neuro-swarm and neuro-imperialism models, respectively revealed that although both techniques are capable enough in prediction tasks, the developed neuro-swarm model can be considered as a better alternative technique in mapping the concrete strength behavior.

Study on the mechanical behaviors of timber frame with the simplified column foot joints

  • Yang, Qing-shan;He, Jun-xiao;Wang, Juan
    • Structural Engineering and Mechanics
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    • 제77권3호
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    • pp.383-394
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    • 2021
  • Column foot in traditional Chinese timber structures may be subjected to be uplifted due to the lateral load and subsequently reset under the vertical loads. The residual moment of the rocking column foot is the most important parameter representing the mechanical behaviors of column foot, and the simplification of joints is the basis of structural analysis of whole structure. The complicated mechanical behaviors of joint and the modeling of the column foot joint has been undertaken historically based on the experiments and numerical simulation. On the condition of limited application range of those models, a lack of simplified model to represent the mechanical behaviors of joint deserves attentions. There is a great need to undertake theoretical studies to derive the residual moment and make better simplified model of the joint. This paper proposes the residual moment and equivalent simplified model of the rotational stiffness for column foot joint. And, the timber frame is established based on the simplified model, which is verified by solid finite element model. Results show that a mutual agreement on the mechanical behaviors of the timber frame is obtained between the simplified model and the solid finite element model. This study can serve as the references of the structural analysis for the traditional timber structures.

드론 초분광 영상과 다중 식생지수를 활용한 태화강 유역 식생변화 분석 (Analysis of vegetation change in Taehwa River basin using drone hyperspectral image and multiple vegetation indices)

  • 김용석
    • 한국환경복원기술학회지
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    • 제24권1호
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    • pp.97-110
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    • 2021
  • Vegetation index information is an important figure that is used in many fields such as landscape architecture, urban planning, and environment. Vegetation may vary slightly in vegetation vitality depending on photosynthesis and chlorophyll content. In this study, a range of vegetation worth preserving in the Taehwa River water system was determined, and hyperspectral images of drones were acquired (August, October), and the results were presented through DVI(Normalized Defference Vegetation Index), EVI(Enhanced Vegetation Index), PRI(Photochemical Reflectance Index), ARI (Anthocyanin Reflectance Index) index analysis. In addition, field spectral data and VRS-GPS(Virtual Reference System-GPS) surveys were performed to ensure the quality and location accuracy of the spectral band. As a result of the analysis, NDVI and EVI showed low vegetation vitality in October, -0.165 and -0.085, respectively, and PRI and ARI increased to 0.011 and 7.588 in October, respectively. For general vegetation vitality, it was suggested that NDVI and EVI analysis were effectively performed, and PRI and ARI were thought to be effective in analyzing detailed characteristics of plants by spectral band. It is expected that it can be widely used for park design and landscape information modeling by using drone image information construction and vegetation information.

자연환경 가치의 효율적 이용과 보전을 위한 환경정책통합 기반연구 (A Study on Environmental Policy Integration for the Efficient Use and Conservation of Natural Environmental Values)

  • 윤호정;염성진
    • 한국환경과학회지
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    • 제30권8호
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    • pp.629-646
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    • 2021
  • Damage to the natural environment is becoming increasingly complex in modern society, expanding to impact not only the environment but also society and the economy. Various systems and policies based on sustainability have been promoted internationally. Legal systems and policies based on evaluation systems such as land environment assessment and urban ecological status maps, have been implemented in Korea. However, most of Korea institutions and policies related to the natural environment have been directed toward the conservation of the natural environment, and restricted to in simple theoretical frameworks with various limitations. Therefore, this study analyzed the definition and value of the natural environment for a fundamental conceptual approach to the valuation of the natural environment. Based on this, we modeled the policy process for a flexible evaluation system suitable for the actual situation of Korea natural environment through a review of the integration of environmental policy proposed in Europe.

인공지능 알고리즘을 활용한 건축 이미지 생성에 관한 연구 - 건축 스케치 기반의 실사 이미지 생성을 위한 기초적 연구 - (A Study on Architectural Image Generation using Artificial Intelligence Algorithm - A Fundamental Study on the Generation of Due Diligence Images Based on Architectural Sketch -)

  • 한상국;신동윤
    • 한국BIM학회 논문집
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    • 제11권2호
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    • pp.54-59
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    • 2021
  • In the process of designing a building, the process of expressing the designer's ideas through images is essential. However, it is expensive and time consuming for a designer to analyze every individual case image to generate a hypothetical design. This study aims to visualize the basic design draft sketch made by the designer as a real image using the Generative Adversarial Network (GAN) based on the continuously accumulated architectural case images. Through this, we proposed a method to build an automated visualization environment using artificial intelligence and to visualize the architectural idea conceived by the designer in the architectural planning stage faster and cheaper than in the past. This study was conducted using approximately 20,000 images. In our study, the GAN algorithm allowed us to represent primary materials and shades within 2 seconds, but lacked accuracy in material and shading representation. We plan to add image data in the future to address this in a follow-up study.