• Title/Summary/Keyword: Multi-Site Model

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The Application of MultiLayered Primitive-Composite Model for Integrated Design System of Agricultural Facilities (농업시설물의 통합설계시스템 개발을 위한 객체 모델링에 관한 연구(구조 및 재료 \circled1))

  • 배연정;이정재;윤성수;김한중
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 2000.10a
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    • pp.226-232
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    • 2000
  • The design of agricultural facilities is the consistent activities, which systematically analyze all the actual conditions, design the unit structures, and improve the faming environment through efficient organization of the unit facility. The design of agricultural facilities is composed of site study, preliminary design, primary design, and detail design. Integrated design system can manage and process the information created by and used in all steps of design process. Formal data models of these design activities are important conceptual steps in development of integrated design system. However, most of existing models are not available for agricultural facilities. To support efficiently developing the integrated design system of agricultural facilities, we have developed the Multi-Layered Primitive-Composite mode I through object-oriented analysis of agricultural facilities. The MPC model not only satisfies the characteristics of agricultural facility, such as variety, coupling, informal data, but also improves abilities of integrated design system such as extensibility, flexibility, and granularity. The paper presents a formal definition of the MPC model.

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Comparison of Crop Growth and Evapotranspiration Simulations between Noah Multi Physics Model and CERES-Rice Model (Noah Multi Physics 모델과 CERES-Rice 모델의 작물 생육 및 증발산 모의 비교)

  • Kim, Kwangsoo;kang, Minseok;Jeong, Haneul;Kim, Joon
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.15 no.4
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    • pp.282-290
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    • 2013
  • Biophysical and biochemical processes through which crops interact with the atmosphere have been simulated using land surface models and crop growth models. The Noah Multi Physics (MP) model and the CERES-Rice model, which are a land surface model, and a crop growth model, respectively, were used to simulate and compare rice growth and evapotranspiration (ET) in the areas near Haenam flux tower in Korea. Simulations using these models were performed from 2003 to 2012 during which flux measurements were obtained at the Haenam site. The Noah MP model failed to simulate the pattern of temporal change in leaf area index (LAI) after heading. The simulated aboveground biomass with the Noah MP model was underestimated by about 10% of the actual biomass. The ET simulated with the Noah MP model was as low as 21% of those with the CERES-Rice model. In comparison with actual ET measured at Haenam flux site, the root mean square error (RMSE) of the Noah MP model was 1.8 times larger than that of the CERES-Rice model. The Noah MP model seems to show less reliable simulation of crop growth and ET due to simplified phenology processes and assimilates partitioning compared with the CERES-Rice model. When ET was adjusted by the ratio between leaf biomass simulated using CERES-Rice model and Noah MP model, however, the RMSE of ET was reduced by 30%. This suggests that an improvement of the Noah MP model in representing rice growth in paddy fields would allow more reliable simulation of matter and energy fluxes.

Influence of multi-component ground motions on seismic responses of long-span transmission tower-line system: An experimental study

  • Tian, Li;Ma, Ruisheng;Qiu, Canxing;Xin, Aiqiang;Pan, Haiyang;Guo, Wei
    • Earthquakes and Structures
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    • v.15 no.6
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    • pp.583-593
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    • 2018
  • Seismic performance is particularly important for life-line structures, especially for long-span transmission tower line system subjected to multi-component ground motions. However, the influence of multi-component seismic loads and the coupling effect between supporting towers and transmission lines are not taken into consideration in the current seismic design specifications. In this research, shake table tests are conducted to investigate the performance of long-span transmission tower-line system under multi-component seismic excitations. For reproducing the genuine structural responses, the reduced-scale experimental model of the prototype is designed and constructed based on the Buckingham's theorem. And three commonly used seismic records are selected as the input ground motions according to the site soil condition of supporting towers. In order to compare the experimental results, the dynamic responses of transmission tower-line system subjected to single-component and two-component ground motions are also studied using shake table tests. Furthermore, an empirical model is proposed to evaluate the acceleration and member stress responses of transmission tower-line system subjected to multi-component ground motions. The results demonstrate that the ground motions with multi-components can amplify the dynamic response of transmission tower-line system, and transmission lines have a significant influence on the structural response and should not be neglected in seismic analysis. The experimental results can provide a reference for the seismic design and analysis of long-span transmission tower-line system subjected to multi-component ground motions.

A Case Study on the Air Quality Impact Assessment for the Large Scale Urban Development (대규모 도시개발사업에 대한 대기질 평가 사례 연구)

  • Kim, Sang-Mok;Lee, Sang-Hun;Park, Keun-Hyoung;Woo, Jae-Kyun;Koo, Youn-Seo;Kim, Sung-Tae;Han, Jin-Seok
    • Journal of Environmental Impact Assessment
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    • v.16 no.6
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    • pp.381-391
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    • 2007
  • The air quality modeling was carried out to assess the impact of air quality for large scale urban development. The site for the assessment is Multi-fuctional Administrative City which locates in Yeongi-gun, Chungcheongnam-do and estimated population in 2030 is 500,000. Two automatic weather monitoring stations were installed to monitor the meteorological variables for a year and upper air meteorological parameters were measured using radiosonde for 5 days with 4 hours interval in every season. The air quality of standard air pollutants were also measured for 5 days continuously in every season. The results of wind field analysis based on the site measurements and CALMET modeling showed that the valley and mountain winds were prevailed when the sypnotic wind was weak. It also showed that wind speed and directions were highly space-variable within the site basin. The variable wind characteristics implies that the Gaussian dispersion model such ISC3 and AERMOD are not appropriate and the unsteady-sate Lagrangian model such as CALPUFF is preferable. CALPUFF model was applied to assess air quality impact of new sources. The new sources were those for individual and group heating facilities as well as the traffic increases. The results showed that the estimated concentrations of CO and $SO_2$ pollutants by summing the impact concentration of new sources by the dispersion model and the ambient air concentrations by the site measurements were acceptable but those of PM-10 and $NO_2$ would violate ambient air quality standards at several locations due to high ambient air concentrations. It is recommended that the emission reductions near the site should be enforced to improve the ambient air quality.

Development of Multisite Spatio-Temporal Downscaling for Climate Change and Short-term Prediction (기후변화 및 단기예측을 시공간적 다지점 Downscaling 기법 개발)

  • Kwon, Hyun-Han;Moon, Young-Il;Moon, Jang-Won;Kim, Byung-Sik
    • Proceedings of the Korea Water Resources Association Conference
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    • 2009.05a
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    • pp.120-124
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    • 2009
  • 기후변화로 인한 사회, 경제, 자원, 환경, 수자원 등에 영향분석은 세계적인 연구 트렌드로 자리 잡고 있다. 다양한 모형들이 기후변화 영향을 효과적으로 평가하기 위해서 개발되고 있으나 주로 강우-유출 모형을 통한 유출의 변화 특성을 모의하는데 대부분의 연구가 초점을 맞추고 있다. 그러나 기본적으로 사용되는 강수량자료의 정확한 추정이 기후변화 연구에서 가장 중요하다고 해도 과언이 아니다. 이러한 관점에서 GCM 기후모형으로부터 유도된 기후변화 시나리오로부터 여러 단계로 가공하여 모형의 입력 자료로 사용하기 위한 강수량 자료를 생산하게 된다. 이러한 과정을 총칭해서 Downscaling이라고 한다. 본 연구에서는 기후모형으로 얻은 정보를 유역단위의 수문시나리오로 변환하기 위한 통계학적 Downscaling의 연구이론 변천 상황을 종합적으로 검토하고 각 모형이 갖는 장단점을 분석하고자 한다. 즉, Weather Generator, Single-site Nonstationary Markov Chain, Multi-site Nonstationary Markov Chain, Multi-site Weather State Based Markov Model 등 다양한 모델의 변화 및 진보 과정을 살펴보고 실제 국내 유역에 적용하여 모형의 타당성을 평가해보고자 한다. 이를 위해 IPCC 기후변화 시나리오를 활용하였으며 일강수량자료계열의 특성치, 극치수문량 변동특성 등 기후변화에 따른 영향분석을 일부 실시하여 분석하였다.

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Multi-Dimensional Selection Method of Port Logistics Location Based on Entropy Weight Method

  • Ruiwei Guo
    • Journal of Information Processing Systems
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    • v.19 no.4
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    • pp.407-416
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    • 2023
  • In order to effectively relieve the traffic pressure of the city, ensure the smooth flow of freight and promote the development of the logistics industry, the selection of appropriate port logistics location is the basis of giving full play to the port logistics function. In order to better realize the selection of port logistics, this paper adopts the entropy weight method to set up a multi-dimensional evaluation index, and constructs the evaluation model of port logistics location. Then through the actual case, from the environmental dimension and economic competition dimension to make choices and analysis. The results show that port d has the largest logistics competitiveness and the highest relative proximity among the three indicators of hinterland city economic activity, hinterland economic structure, and port operation capacity of different port logistics locations, which has absolute advantages. It is hoped that the research results can provide a reference for the multi-dimensional selection of port logistics site selections.

Development of a new explicit soft computing model to predict the blast-induced ground vibration

  • Alzabeebee, Saif;Jamei, Mehdi;Hasanipanah, Mahdi;Amnieh, Hassan Bakhshandeh;Karbasi, Masoud;Keawsawasvong, Suraparb
    • Geomechanics and Engineering
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    • v.30 no.6
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    • pp.551-564
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    • 2022
  • Fragmenting the rock mass is considered as the most important work in open-pit mines. Ground vibration is the most hazardous issue of blasting which can cause critical damage to the surrounding structures. This paper focuses on developing an explicit model to predict the ground vibration through an multi objective evolutionary polynomial regression (MOGA-EPR). To this end, a database including 79 sets of data related to a quarry site in Malaysia were used. In addition, a gene expression programming (GEP) model and several empirical equations were employed to predict ground vibration, and their performances were then compared with the MOGA-EPR model using the mean absolute error (MAE), root mean square error (RMSE), mean (𝜇), standard deviation of the mean (𝜎), coefficient of determination (R2) and a20-index. Comparing the results, it was found that the MOGA-EPR model predicted the ground vibration more precisely than the GEP model and the empirical equations, where the MOGA-EPR scored lower MAE and RMSE, 𝜇 and 𝜎 closer to the optimum value, and higher R2 and a20-index. Accordingly, the proposed MOGA-EPR model can be introduced as a useful method to predict ground vibration and has the capacity to be generalized to predict other blasting effects.

Effectiveness of multi-mode surface wave inversion in shallow engineering site investigations (토목관련 천부층 조사에서 다중 모드 표면파 역산의 효과)

  • Feng Shaokong;Sugiyama Takeshi;Yamanaka Hiroaki
    • Geophysics and Geophysical Exploration
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    • v.8 no.1
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    • pp.26-33
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    • 2005
  • Inversion of multi-mode surface-wave phase velocity for shallow engineering site investigation has received much attention in recent years. A sensitivity analysis and inversion of both synthetic and field data demonstrates the greater effectiveness of this method over employing the fundamental mode alone. Perturbation of thickness and shear-wave velocity parameters in multi-modal Rayleigh wave phase velocities revealed that the sensitivities of higher modes: (a) concentrate in different frequency bands, and (b) are greater than the fundamental mode for deeper parameters. These observations suggest that multi-mode phase velocity inversion can provide better parameter discrimination and imaging of deep structure, especially with a velocity reversal, than can inversion of fundamental mode data alone. An inversion of the theoretical phase velocities in a model with a low velocity layer at 20 m depth can only image the soft layer when the first higher mode is incorporated. This is especially important when the lowest measurable frequency is only 6 Hz. Field tests were conducted at sites surveyed by borehole and PS logging. At the first site, an array microtremor survey, often used for deep geological surveying in Japan, was used to survey the soil down to 35 m depth. At the second site, linear multichannel spreads with a sledgehammer source were recorded, for an investigation down to 12 m depth. The f-k power spectrum method was applied for dispersion analysis, and velocities up to the second higher mode were observed in each test. The multi-mode inversion results agree well with PS logs, but models estimated from the fundamental mode alone show f large underestimation of the depth to shallow soft layers below artificial fill.

Investigating Drivers of Housing Vacancy in Old Town Incheon using Multi-level Analysis (다층모형을 활용한 인천광역시 원도심 빈집 발생의 영향요인 분석)

  • Lee, Da-Ye
    • Journal of Cadastre & Land InformatiX
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    • v.50 no.2
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    • pp.237-254
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    • 2020
  • Housing vacancies have become a major issue in urban areas, there have been many efforts to address this issue at the national and local levels. The purpose of this paper is to investigate the factors contributing to housing vacancies in old town Incheon in South Korea. In particular, the research focuses on examining the effects of multiple levels of factors on housing vacancies in a comprehensive way; the three levels of factors were identified with a literature review including housing (Level 1), Neighborhood (Level 2), and Region (Level 3). A multi-level logistic regression model was used to examine the relationship between 13 factors in three spatial levels and housing vacancies. As a result, the factors in all three levels were able to explain housing vacancies including site area and shape, proximity to major roads (Level 1), ratio of houses in designated urban renewal area and slope (Level 2), and ratio of the elderly living alone, land price, changes in land price and ratio of new houses (Level 3). These results show that the combination of the physical inferiority of the housing site and the neighborhood environment and the economic and social vulnerability of the region is likely to increases the number of vacant houses. This study also suggested that a multi-dimensional policy strategy is needed to solve the problem of housing vacancies, and urban policies, such as supplying new housing or urban renewal area designation, should be carefully implemented in a way not to create housing vacancies.

Multi-objective Optimization Model for Tower Crane Layout Planning in Modular Construction (모듈러 건축의 타워크레인 배치계획 수립을 위한 다중 최적화 모델 개발)

  • Yoon, Sungboo;Park, Moonseo;Jung, Minhyuk;Hyun, Hosang;Ahn, Suho
    • Korean Journal of Construction Engineering and Management
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    • v.22 no.1
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    • pp.36-46
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    • 2021
  • With an increasing trend toward high-rise modular construction, the simultaneous use of tower cranes at a modular construction site has recently been observed. Tower crane layout planning (TCLP) has a significant effect on cost, duration, safety and productivity of a project. In a modular construction project, particularly, poor decision about the layout of tower cranes is likely to have negative effects like additional employment of cranes and redesign, which will lead to additional costs and possible delays. It is, therefore, crucial to conduct thorough inspection of field conditions, lifting materials, tower crane capacity to make decisions on the layout of tower cranes. However, several challenges exist in planning for a multi-crane construction site in terms of safety and collaboration, which makes planning with experience and intuition complicated. This paper suggests a multi-objective optimization model for selection of the number of tower cranes, their models and locations, which minimizes cost and conflict. The proposed model contributes to the body of knowledge by showing the feasibility of using multi-objective optimization for TCLP decision-making process with consideration of trade-offs between cost and conflict.