• Title/Summary/Keyword: Urban Climate Change

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Urban Heat Island Intensity Analysis by Landuse Types (토지이용 유형별 도시열섬강도 분석)

  • Je, Min-Hee;Jung, Seung-Hyun
    • The Journal of the Korea Contents Association
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    • v.18 no.11
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    • pp.1-12
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    • 2018
  • Heat waves during summer cause a qualitative degradation in urban environments and increases the number of patients who suffer from heat-related illnesses, and the urbanization deepens these problems. It is a prerequisite to analyze the current status accurately in order to assess the urban heat island phenomenon. Thus, this study aims to collect weather measurements information at the occurrence of a severe heat wave in Seoul, thereby allowing analysis of information, which will also consider the land use type. The weather measurement information used in the analysis had an advantage, as the gap between measured locations is considerably shorter than before due to the miniaturization of the automatic weather systems (AWS), which are connected through the communication network. Based on the above collected information, a temporal change in the data due to land use type was analyzed. As a result, the difference in temperature change in response to the land use type could be compared, as could the occurrence pattern of the tropical night phenomenon, and the effect on temperature reduction in green belt areas could be identified through the comparison of the intensity of heat island by time and land use. The methods and results derived in this study through the comparative analysis in terms of time and land use, weather information measurements, and mapping can be utilized as foundational data that can be referred to in urban planning to reduce the heat island phenomenon in the future.

Relationship between the Distribution of Wildbirds and Temperature for Six Years - A Case Study of Worldcup Park in Seoul, Korea - (6년 동안의 야생조류 변화와 기온과의 관계연구 - 월드컵공원을 대상으로 -)

  • Kim, Ji-Seok;Han, Bong-Ho;Kwak, Jeong-In
    • Korean Journal of Environment and Ecology
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    • v.24 no.3
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    • pp.227-234
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    • 2010
  • To see the influence of bird species by the change of temperature in city, we have carried out bird census 22 times for 6 years from 2003 to 2008 in Worldcup Park, Seoul. And we analysed the correlation between the temperature of Seoul and wildbirds. 15 orders, 38 families and 102 species were confirmed to have existed. We could find that Hypsipetes amaurotis gradually turned out to have increased with statistical significance for 6 years. To analyze the relationship between the temperature of Seoul and wildbirds, we have chosen 31 bird species observed more than 30% in frequency and proceeded the regression analysis. The survey shows that with the temperature rise the number of the resident birds such as Pica pica, Parus palustris, Anas platyrhynchos and Anas poecilorhyncha and the migratory birds such as Buteo buteo has declined. These 5 species have a possibility to be decreased as a global climate warming and maybe move to another habitat. In contrast, Oriolus chinensis and Falco tinnunculus are characterized into the species that increased due to the rising temperature. So they have a posibility to increase and expand their habitat. This survey shows that temperature rise can cause to change the composition of bird species. And 7 bird species related with the change of temperature have a great possibility as a indicator of the climate change.

Classification of Carbon-Based Global Marine Eco-Provinces Using Remote Sensing Data and K-Means Clustering (K-Means Clustering 기법과 원격탐사 자료를 활용한 탄소기반 글로벌 해양 생태구역 분류)

  • Young Jun Kim;Dukwon Bae;Jungho Im ;Sihun Jung;Minki Choo;Daehyeon Han
    • Korean Journal of Remote Sensing
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    • v.39 no.5_3
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    • pp.1043-1060
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    • 2023
  • An acceleration of climate change in recent years has led to increased attention towards 'blue carbon' which refers to the carbon captured by the ocean. However, our comprehension of marine ecosystems is still incomplete. This study classified and analyzed global marine eco-provinces using k-means clustering considering carbon cycling. We utilized five input variables during the past 20 years (2001-2020): Carbon-based Productivity Model (CbPM) Net Primary Production (NPP), particulate inorganic and organic carbon (PIC and POC), sea surface salinity (SSS), and sea surface temperature (SST). A total of nine eco-provinces were classified through an optimization process, and the spatial distribution and environmental characteristics of each province were analyzed. Among them, five provinces showed characteristics of open oceans, while four provinces reflected characteristics of coastal and high-latitude regions. Furthermore, a qualitative comparison was conducted with previous studies regarding marine ecological zones to provide a detailed analysis of the features of nine eco-provinces considering carbon cycling. Finally, we examined the changes in nine eco-provinces for four periods in the past (2001-2005, 2006-2010, 2011-2015, and 2016-2020). Rapid changes in coastal ecosystems were observed, and especially, significant decreases in the eco-provinces having higher productivity by large freshwater inflow were identified. Our findings can serve as valuable reference material for marine ecosystem classification and coastal management, with consideration of carbon cycling and ongoing climate changes. The findings can also be employed in the development of guidelines for the systematic management of vulnerable coastal regions to climate change.

A Study on the Effect of the Urban Regeneration Project on the Reduction of Carbon Emission - A Case Study of Jeonju Test-Bed - (도시재생사업 적용에 따른 탄소저감 효과 - 전주TB지역을 대상으로 -)

  • Park, Kiyong;Lee, Sangeun;Park, Heekyung
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.36 no.1
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    • pp.65-74
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    • 2016
  • This study mainly focuses on urban regeneration project as a countermeasure to resolve climate change issues by analyzing the carbon-reduction effect of Jeonju test-bed cases. First, an urban regeneration project is designed for city, Jeonju by analyzing its environmental problems and potential improvement. Then, carbon emission and reduction amounts are evaluated for different businesses and scenarios. Carbon emission sources are classified according to a standard suggested by IPCC, and the emissions are calculated by various standard methods. The result shows that carbon emission amount in Jeonju test-bed is 102,149 tCO2eq. The fact that 70% of the emission from energy sector originates from buildings implies that urban regeneration projects can concentrate on building portions to effectively reduce carbon emission. It is also projected carbon emission will decrease by 3,826tCo2eq in 2020 compared to 2011, reduction mainly based on overall population and industry shrinkage. When urban regeneration projects are applied to 5 urban sectors (urban environment, land use, green transportation, low carbon energy, and green buildings) total of 10,628tCO2eq is reduced and 4,857tCO2 (=15.47%) when only applied to the green building sector. Moreover, different carbon reduction scenarios are set up to meet each goal of different sectors. The result shows that scenario A, B, and C each has 5%, 11%, and 15% of carbon reduction, respectively. It is recommended to apply scenario B to achieve 11% reduction goal in a long term. Therefore, this research can be a valuable guideline for planning future urban regeneration projects and relative policies by analyzing the present urban issues and suggesting improvement directions.

Analysis on the Effects of Land Cover Types and Topographic Features on Heat Wave Days (토지피복유형과 지형특성이 폭염일수에 미치는 영향 분석)

  • PARK, Kyung-Hun;SONG, Bong-Geun;PARK, Jae-Eun
    • Journal of the Korean Association of Geographic Information Studies
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    • v.19 no.4
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    • pp.76-91
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    • 2016
  • The purpose of this study is to analyze the effects of spatial characteristics, such as land cover and topography, on heat wave days from the city of Milyang, which has recently drawn attention for its heat wave problems. The number of heat wave days was calculated utilizing RCP-based South Korea climate data from 2000 to 2010. Land cover types were reclassified into urban area, agricultural area, forest area, water, and grassland using 2000, 2005, and 2010 land cover data constructed by the Ministry of Environment. Topographical features were analyzed by topographic position index (TPI) using a digital elevation model (DEM) with 30 m spatial resolution. The results show that the number of heat wave days was 31.4 days in 2000, which was the highest, followed by 26.9 days in 2008, 24.2 days in 2001, and 24.0 days in 2010. The heat wave distribution was relatively higher in agricultural areas, valleys, and rural areas. The topography of Milyang contains more mountainous slope (51.6%) than flat (19.7%), while large-scale valleys (12.2%) are distributed across some of the western region. Correlation analysis between heat wave and spatial characteristics showed that the correlation between forest area land cover and number of heat wave days was negative (-0.109), indicating that heat wave can be mitigated. Topographically, flat areas and heat wave showed a positive correlation (0.305). These results provide important insights for urban planning and environmental management for understanding the impact of land development and topographic change on heat wave.

Stochastic disaggregation of daily rainfall based on K-Nearest neighbor resampling method (K번째 최근접 표본 재추출 방법에 의한 일 강우량의 추계학적 분해에 대한 연구)

  • Park, HeeSeong;Chung, GunHui
    • Journal of Korea Water Resources Association
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    • v.49 no.4
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    • pp.283-291
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    • 2016
  • As the infrastructures and populations are the condensed in the mega city, urban flood management becomes very important due to the severe loss of lives and properties. For the more accurate calculation of runoff from the urban catchment, hourly or even minute rainfall data have been utilized. However, the time steps of the measured or forecasted data under climate change scenarios are longer than hourly, which causes the difficulty on the application. In this study, daily rainfall data was disaggregated into hourly using the stochastic method. Based on the historical hourly precipitation data, Gram Schmidt orthonormalization process and K-Nearest Neighbor Resampling (KNNR) method were applied to disaggregate daily precipitation into hourly. This method was originally developed to disaggregate yearly runoff data into monthly. Precipitation data has smaller probability density than runoff data, therefore, rainfall patterns considering the previous and next days were proposed as 7 different types. Disaggregated rainfall was resampled from the only same rainfall patterns to improve applicability. The proposed method was applied rainfall data observed at Seoul weather station where has 52 years hourly rainfall data and the disaggregated hourly data were compared to the measured data. The proposed method might be applied to disaggregate the climate change scenarios.

Transport Demand Management in Developing Countries and Climate Change (개발도상국의 교통수요관리와 기후변화)

  • Lee, Shin
    • Journal of the Society of Disaster Information
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    • v.14 no.3
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    • pp.288-295
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    • 2018
  • Purpose: The paper aims to compare the effectiveness of the two types of transport demand management measures, namely pull measures and push measures. Method: Case studies of two metropolitan areas in the developing world assess the extent to which increases in fuel prices can contribute to reducing automobile use and increasing the public transport use and the potential of urban rail transit to cause mode shift from automobiles. Within the case studies, a stated response survey of current car users has been conducted for Cairo and an on-line survey of rail transit users in Algiers. Results: There was a major proportion of car drivers who intend to switch to public transport, depending on the range of fuel prices in Cairo and a considerable proportion of rail users who have switched from automobiles resulting in a measurable reduction in CO2 emissions in Algiers. Conclusion: Investments in urban rail can be highly effective where there are demands for better public transport, but this type of pull measures can be much more effective if combined with push measures which significantly raise driving costs.

Analysis of regional type according to spatial correspondence between heat wave vulnerable areas and health damage occurrence (폭염 취약지역과 건강 피해 발생의 공간적 일치성에 따른 지역 유형 분석)

  • Hee-Soo HWANG;Ji Yoon CHOI;Jung Eun KANG
    • Journal of the Korean Association of Geographic Information Studies
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    • v.26 no.1
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    • pp.89-113
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    • 2023
  • This study aimed to identify heat wave vulnerable areas and discuss spatial typology and policy directions through spatial coincidence analysis of heat wave damage. By utilizing the climate change vulnerability assessment of the Intergovernmental Panel on Climate Change (IPCC) and Spatial Statistics Comparison Analysis, this study examined cities, counties, and districts in South Korea for five years (2015-2019), including 2018, when the heat wave was most extreme. It was determined that the number of heat wave days (exposure) was the most impactful among various factors for heat wave vulnerability. Sensitivity and adaptive capacity to heat waves were found to vary according to regional characteristics. The relationship between heat wave vulnerability and damage was categorized into four types through spatial coherence. Hot to Hot and Cold to Cold types have a positive relationship between vulnerability and damage, while Hot to Cold and Cold to Hot types have a negative relationship. The findings suggest that since different types of regions have distinct characteristics and conditions, policies and research for improvement should be directed to address each region separately. This study may be used as basic data for establishing heat-related policies in the future, as it categorizes regions by considering both heat vulnerability and damage and examines the direction of response by type.

Analysis of Runoff Reduction Effect of Flood Mitigation Policies based on Cost-Benefit Perspective (비용-편익을 고려한 홍수 대응 정책의 유출 저감 효과 분석)

  • Jee, Hee Won;Kim, Hyeonju;Seo, Seung Beom
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.43 no.6
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    • pp.721-733
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    • 2023
  • As the frequency of extreme rainfall events increase due to climate change, climate change adaptation measures have been proposed by the central and local governments. In order to reduce flood damage in urban areas, various flood response policies, such as low impact development techniques and enhancement of the capacity of rainwater drainage networks, have been proposed. When these policies are established, regional characteristics and policy-effectiveness from the cost-benefit perspective must be considered for the flood mitigation measures. In this study, capacity enhancement of rainwater pipe networks and low impact development techniques including green roof and permeable pavement techniques are selected. And the flood reduction effect of the target watershed, Gwanak campus of Seoul National University, was analyzed using SWMM model which is an urban runoff simulation model. In addition, along with the quantified urban flooding reduction outputs, construction and operation costs for various policy scenarios were calculated so that cost-benefit analyses were conducted to analyze the effectiveness of the applied policy scenarios. As a result of cost-benefit analysis, a policy that adopts both permeable pavement and rainwater pipe expansion was selected as the best cost-effective scenario for flood mitigation. The research methodology, proposed in this study, is expected to be utilized for decision-making in the planning stage for flood mitigation measures for each region.

A Study on the Evalution after Urban Park Construction by Geographic Information System - Namsangol Park , Junggu , Seoul - (GIS를 활용한 도시공원 시공후 평가에 관한 연구 - 서울 중구 남산골공원을 중심으로 -)

  • 장동수;김남규
    • Spatial Information Research
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    • v.4 no.1
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    • pp.93-105
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    • 1996
  • The purpose of this study was to give some ideas to the improving direction and evaluation in order to solve physical' ecological problems appeared after urban park construction. This study selected Namsangol park as a site, because this park was constructed to the goal in order to rehabilitate the original landform as a part of "Namsan original landscape rehabilitation work". So this study was executed to investigate past and present landform change, soil condition, planting, water/climate etc., and then these were analyzed by GIS.- soil :pH, Ec, organic matter, the ability of moisture content, bulk density, porosity, etc.- planting:planting density, plant species- water/climate: the amount of rainfall, drainage and drainage-basin. And then this study overlayed soil+cut/fill, soil+pine tree, cut/fill + planting density, and cut/fill + plant species.t species.

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