• Title/Summary/Keyword: land-use type

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Effects of Urban Greenspace on Improving Atmospheric Environment - Focusing on Jung-gu in Seoul - (도시녹지의 대기환경개선 효과 - 서울시 중구를 중심으로 -)

  • 조현길;조용현;안태원
    • Journal of the Korean Institute of Landscape Architecture
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    • v.31 no.3
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    • pp.83-90
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    • 2003
  • This study explored effects of urban greenspace on improving atmospheric environment, which is concerned with $CO_2$, SO$_2$ and NO$_2$ uptake, and with reduction of summer air temperatures. The site of this study was focused on Jung-gu in Seoul. Tree density and cover were 1.1 trees/100 $m^2$ and 12.5% respectively for the study area except forest lands. Atmospheric purification by greenspace was associated with changes in tree cover per unit area of each land use type. The mean $CO_2$ storage by woody plants was 19.4t/ha, and annual uptake averaged 2.2t/ha/yr for $CO_2$, 1.9kg/ha/yr for SO$_2$ and 5.0kg/ha/yr for NO$_2$. Entire tree plantings in the study area played a significant role by annually offsetting $CO_2$ emissions of about 1,830t from fossil fuel consumption by 330 persons, SO$_2$ emissions of 1,620kg by 1,080 persons, and NO$_2$ emissions of 4,230kg by 450 persons. The summer air temperature was 3.6$^{\circ}C$ cooler at a location with 54% cover of woody plants and 4.5$^{\circ}C$ cooler at a forest site with 100% cover, compared to a place with no planting. A 10% increase of woody plant cover was estimated to decrease summer air temperature by approximately 0.6$^{\circ}C$ until a certain level of canopy cover. Analyzing data from the Automatic Weather Stations in Seoul revealed that increasing tree cover decreased mean air temperature for the summer season (Jun~Aug) in a nonlinear function. Woody plant cover was the best predictive variable of summer temperature reduction. The results from this study are expected to be useful in emphasizing the environmental benefits and importance of urban greenspace enlargement, and in urging the necessity for planting and management budgets.

A Study on Carbon Reduction Effect in On-site Improvement Type Residential Regeneration (현지개량형 주거지 재생의 탄소저감 효과 분석)

  • Kim, Young-Hwan;Park, Sang-Jun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.3
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    • pp.1495-1501
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    • 2013
  • This study aims to figure out the effectiveness of low-carbon oriented residential regeneration by on-site improvement method. For this, we examined some technical planning elements for carbon reduction and selected standard criteria of computation on energy use-based amount of carbon emission through previous literature review and case studies. Next, based on this, we compared and analyzed three types of carbon emission in the designated renewal area in Cheongju City. The three types of carbon emission were the existing development, the redevelopment of apartment by overall removal, and the development of low-carbon oriented residential regeneration by on-site improvement method. Finally, we examined proper way to reduce carbon emission in low-carbon oriented residential regeneration.

A Study on Stability Estimation of a Orchard Vehicle using Multi-Body Dynamic and Finite Element Analysis (다물체 동역학 및 유한요소 해석을 통한 과수원용 작업차량 안정성 평가에 관한 연구)

  • Han, Chang-Woo;Son, Jae-Hwan;Park, Kee-Jin;Jang, Eun-Sil;Woo, Seung-Min
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.9
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    • pp.4142-4148
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    • 2013
  • Because of effective fruit growing and management in the slope land, the use of orchard vehicle with lifting utilities has been increased. For this reason the study on the stability of that vehicle for worker's safety is needed. This study is investigated on the stability estimation of orchard vehicle with four wheels and dual rectangular-type lifting utilities which can be moved on the dirt sloping load. Through the multi-body dynamics analysis on the vehicle mechanism, overturning angles of 19.2 and $34.6^{\circ}$ in the right-left and front-rear direction can be calculated. It is determined tractive resistances and required powers of the wheels. And through the finite element analysis on the frame of lifting utility its maximum von-Mises stress is 146 MPa and it is structural stable. Therefore it is known that the orchard vehicle with wheels and lifting utilities has static and dynamic stability.

A Basic Study on How to Improve the Management and Operation of Maritime or Coastal National Parks as Based on the Analysis of the Basic Statistical Data on National Parks (국립공원 기초통계자료분석을 기반으로 한 해상·해안형 국립공원 관리운영개선에 대한 기초 연구)

  • Lee, Hee-Won;Yeom, Sung-Jin
    • Journal of Environmental Science International
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    • v.28 no.9
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    • pp.751-763
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    • 2019
  • National parks, which are preserved areas of $6,726.298km^2$($3,972.589km^2$ on land and $2,753.709km^2$, at sea), take up 6.71% of the national territory, and they are classified by type into 17 mountain parks, 4 maritime or coastal parks, and 1 historical site park. Of them all, the maritime or coastal national parks, which are preserved areas covering wide tracts of maritime, lately attract increasing numbers of visitors. In this light, this study identifies the issues with the maritime or coastal national parks such as the changes in the number of visitors and the unbalance involved in the budget execution, based on the visitors to the national parks and the specifics of budget executed for them. On this basis, the study has conducted the research with a view to suggesting improvements for more useful management and operation of the maritime or coastal national parks. As a result, the study has reached the following conclusions. First, to accommodate those who want to visit the maritime or coastal national parks, the tour infrastructure needs to be expanded to guide the visitors' use of the facilities by focusing on their touring behavior and characteristics. Second, budget should be acquired through diversifying revenue structure to eliminate hugely unbalanced budget. Third, visitors nowadays come to national parks for recreational experience or to tour nature, but the maritime or coastal national parks focus on cultural facilities. To accommodate the visitors' needs, the parks should get diversified visitor facilities that reflect the regional characteristics.

Analysis of factors influencing the travel mode choice of bicycle by trip purpose -a case study of Seoul (통행목적별 자전거 통행수단 선택에 영향을 미치는 요인 분석 -서울시를 대상으로)

  • Lee, Kyunghwan;Ko, Eunjeong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.12
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    • pp.33-42
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    • 2020
  • This study analyzed the bicycle traffic patterns and identified the influence factors for each traffic purpose using the household traffic conditions survey for Seoul. The results are summarized as follows. First, as a result of surveying the bicycle traffic ratios according to the administrative dongs, there was a difference of 14.2% by region. Second, various personal characteristic variables, such as age, gender, income, occupation, and housing type, affect the bicycle mode choice, and bicycle passage increases when using facilities in residential areas. Third, among the neighborhood environments, the bicycle traffic for commuting purposes appeared to increase more in the areas of higher land use mix and lower crime rates. In addition, the bicycle road density and the inclination of the area commonly affect bicycle travel for commuting, shopping, exercising, and leisure.

Psychological and Physiological Responses to Different Views through a Window in Apartment Complexes

  • Jeon, Seong Min;Kang, Minji;Kim, Su Jin;Kim, Yong Jin;Choi, Hyo Bhin;Lee, Juyoung
    • Journal of People, Plants, and Environment
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    • v.24 no.5
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    • pp.545-550
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    • 2021
  • Background and objective: With increasing land use intensity in urban areas, apartment buildings have been recognized as a typical type of urban residence. In this study, the impacts of different views through a window on health-related responses were investigated using psychological and physiological parameters. Methods: Photos of three different types of views taken on low (2-12 m), middle (28-35 m), and high (over 54 m) floors of dense apartment building areas were used as visual stimuli. Twenty-two healthy adults participated in the indoor experiment. Semantic differential methods and profile of mood states were used as psychological tools. Autonomic nervous activity was evaluated using blood pressures, pulse rate and heart rate variability (HRV). Results: Analytic data showed different characteristics of psychological and physiological outcomes in three different apartment views. In the analysis of psychological parameters, significantly negative responses to the views on middle floors were found in the subscales of tension-anxiety and anger-hostility, compared to low floors. Significantly positive scores in the subscale of vigor were found on low floors with abundance of vegetation and high floors with a view of the sky. A significantly increased value of HF was found on low floors (2,294.96 ± 169.79), compared to the middle(1,553.45 ± 84.66) and high (1,523.02 ± 70.49) floors. Despite the high scores in openness and vigor, high floor views showed significantly higher LF/HF values (1.83 ± 0.09), the indicator of the sympathetic nervous system, than low (1.30 ± 0.07) and middle floor views (1.34 ± 0.06), which might be related to the unconscious fear of heights. Conclusion: Views from different heights in an apartment building can affect the psychological states of residents. Green space through the window may have a positive health outcome by reducing physiological stress.

Landslide Risk Assessment of Cropland and Man-made Infrastructures using Bayesian Predictive Model (베이지안 예측모델을 활용한 농업 및 인공 인프라의 산사태 재해 위험 평가)

  • Al, Mamun;Jang, Dong-Ho
    • Journal of The Geomorphological Association of Korea
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    • v.27 no.3
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    • pp.87-103
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    • 2020
  • The purpose of this study is to evaluate the risk of cropland and man-made infrastructures in a landslide-prone area using a GIS-based method. To achieve this goal, a landslide inventory map was prepared based on aerial photograph analysis as well as field observations. A total of 550 landslides have been counted in the entire study area. For model analysis and validation, extracted landslides were randomly selected and divided into two groups. The landslide causative factors such as slope, aspect, curvature, topographic wetness index, elevation, forest type, forest crown density, geology, land-use, soil drainage, and soil texture were used in the analysis. Moreover, to identify the correlation between landslides and causative factors, pixels were divided into several classes and frequency ratio was also extracted. A landslide susceptibility map was constructed using a bayesian predictive model (BPM) based on the entire events. In the cross validation process, the landslide susceptibility map as well as observation data were plotted with a receiver operating characteristic (ROC) curve then the area under the curve (AUC) was calculated and tried to extract a success rate curve. The results showed that, the BPM produced 85.8% accuracy. We believed that the model was acceptable for the landslide susceptibility analysis of the study area. In addition, for risk assessment, monetary value (local) and vulnerability scale were added for each social thematic data layers, which were then converted into US dollar considering landslide occurrence time. Moreover, the total number of the study area pixels and predictive landslide affected pixels were considered for making a probability table. Matching with the affected number, 5,000 landslide pixels were assumed to run for final calculation. Based on the result, cropland showed the estimated total risk as US $ 35.4 million and man-made infrastructure risk amounted to US $ 39.3 million.

Mapping Landslide Susceptibility Based on Spatial Prediction Modeling Approach and Quality Assessment (공간예측모형에 기반한 산사태 취약성 지도 작성과 품질 평가)

  • Al, Mamun;Park, Hyun-Su;JANG, Dong-Ho
    • Journal of The Geomorphological Association of Korea
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    • v.26 no.3
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    • pp.53-67
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    • 2019
  • The purpose of this study is to identify the quality of landslide susceptibility in a landslide-prone area (Jinbu-myeon, Gangwon-do, South Korea) by spatial prediction modeling approach and compare the results obtained. For this goal, a landslide inventory map was prepared mainly based on past historical information and aerial photographs analysis (Daum Map, 2008), as well as some field observation. Altogether, 550 landslides were counted at the whole study area. Among them, 182 landslides are debris flow and each group of landslides was constructed in the inventory map separately. Then, the landslide inventory was randomly selected through Excel; 50% landslide was used for model analysis and the remaining 50% was used for validation purpose. Total 12 contributing factors, such as slope, aspect, curvature, topographic wetness index (TWI), elevation, forest type, forest timber diameter, forest crown density, geology, landuse, soil depth, and soil drainage were used in the analysis. Moreover, to find out the co-relation between landslide causative factors and incidents landslide, pixels were divided into several classes and frequency ratio for individual class was extracted. Eventually, six landslide susceptibility maps were constructed using the Bayesian Predictive Discriminant (BPD), Empirical Likelihood Ratio (ELR), and Linear Regression Method (LRM) models based on different category dada. Finally, in the cross validation process, landslide susceptibility map was plotted with a receiver operating characteristic (ROC) curve and calculated the area under the curve (AUC) and tried to extract success rate curve. The result showed that Bayesian, likelihood and linear models were of 85.52%, 85.23%, and 83.49% accuracy respectively for total data. Subsequently, in the category of debris flow landslide, results are little better compare with total data and its contained 86.33%, 85.53% and 84.17% accuracy. It means all three models were reasonable methods for landslide susceptibility analysis. The models have proved to produce reliable predictions for regional spatial planning or land-use planning.

Life Risk Assessment of Landslide Disaster in Jinbu Area Using Logistic Regression Model (로지스틱 회귀분석모델을 활용한 평창군 진부 지역의 산사태 재해의 인명 위험 평가)

  • Rahnuma, Bintae Rashid Urmi;Al, Mamun;Jang, Dong-Ho
    • Journal of The Geomorphological Association of Korea
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    • v.27 no.2
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    • pp.65-80
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    • 2020
  • This paper deals with risk assessment of life in a landslide-prone area by a GIS-based modeling method. Landslide susceptibility maps can provide a probability of landslide prone areas to mitigate or proper control this problems and to take any development plan and disaster management. A landslide inventory map of the study area was prepared based on past historical information and aerial photography analysis. A total of 550 landslides have been counted at the whole study area. The extracted landslides were randomly selected and divided into two different groups, 50% of the landslides were used for model calibration and the other were used for validation purpose. Eleven causative factors (continuous and thematic) such as slope, aspect, curvature, topographic wetness index, elevation, forest type, forest crown density, geology, land-use, soil drainage, and soil texture were used in hazard analysis. The correlation between landslides and these factors, pixels were divided into several classes and frequency ratio was also extracted. Eventually, a landslide susceptibility map was constructed using a logistic regression model based on entire events. Moreover, the landslide susceptibility map was plotted with a receiver operating characteristic (ROC) curve and calculated the area under the curve (AUC) and tried to extract a success rate curve. Based on the results, logistic regression produced an 85.18% accuracy, so we believed that the model was reliable and acceptable for the landslide susceptibility analysis on the study area. In addition, for risk assessment, vulnerability scale were added for social thematic data layer. The study area predictive landslide affected pixels 2,000 and 5,000 were also calculated for making a probability table. In final calculation, the 2,000 predictive landslide affected pixels were assumed to run. The total population causalities were estimated as 7.75 person that was relatively close to the actual number published in Korean Annual Disaster Report, 2006.

Landfill gas-landfill degassing system and methods of using landfill gas at Sarajevo landfill

  • Dzevad Imamovic;Amra Serdarevic
    • Coupled systems mechanics
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    • v.12 no.6
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    • pp.531-537
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    • 2023
  • Municipal solid waste landfills are unpredictable bioreactors which in cases of mishandling and bad supervision presents numerous risks. The key to municipal waste landfills is to approach them from the point of prevention of the possible consequences, which means using methods of organized waste disposal, and also utilizing landfill gas, as an unavoidable consequence with disposal of municipal solid waste with a high share of biodegradable organic matter. This paper presents an overview about problems of solid municipal waste management, type and composition of waste, and an overview of waste management condition. Further, the problem of landfill and landfill gasses is described with the calculation models of landfill production, as well as the use of the SWM GHG Calculator and LandGEM software on a specific example of gas production for the central zone at Sarajevo landfill "Smiljevici". Main focus of this thesis is the analysis of potentials of greenhouse gas emission reduction measures from the waste management. Overview of the best available techniques in waste management is presented as well as the methodology used for calculations. Scenarios of greenhouse gas emission reduction in waste management were defined so that emissions were calculated using the appropriate model. In the final section of the paper, its description of the problem of collection and utilization the landfill gas at the sanitary landfill "Smiljevici", and implementation of the system for landfill gas collection and solution suggestion for the gasification and exploitation of gas. Energy, environmental and economic benefits can be accomplished by utilizing municipal solid waste as fuel in industry and energy and moreover by utilizing energy generation from landfill gas, which this thesis emphasizes.