• Journal of The Korean Society of Agricultural Engineers
• /
• v.60 no.3
• /
• pp.37-50
• /
• 2018

Local climate characteristics for both urban and rural areas can be attributed to multiple factors. Two factors affecting these characteristics include: 1) greenhouse gases related to global warming, and 2) urban heat island (UHI) effects caused by changes in surface land use and energy balances related to rapid urbanization. Because of the unique hydrological and climatological characteristics of cities compared with rural and forested areas, distinguishing the impacts of global warming urbanization is important. In this study, we analyzed anthropogenic climatic changes caused by rapid urbanization. Weather elements (maximum temperature, minimum temperature, and precipitation) over the last 60 years (1955-2016) are compared in urban areas (Seoul, Incheon, Pohang, Daegu, Jeonju, Ulsan, Gwangju, Busan) and rural/forested areas (Gangneung, Chupungnyeong, Mokpo, and Yeosu). Temperature differences between these areas reveal the effects of urbanization and global warming. The findings of this study can be used to analyze and forecast the impacts of climate change and urbanization in other urban and non-urban areas.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.25 no.4
• /
• pp.284-301
• /
• 2023

The changes in rice climatic yield potential (CYP) across the Korean Peninsula are evaluated based on the new climate change scenario produced by the National Institute of Agricultural Sciences with 18 ensemble members at 1 km resolution under a Shared Socioeconomic Pathway (SSP) and Representative Concentration Pathways (RCP) emission scenarios. To overcome the data availability, we utilize solar radiation f or CYP instead of sunshine duration which is relatively uncommon in the climate prediction f ield. The result show that maximum CYP(CYPmax) decreased, and the optimal heading date is progressively delayed under warmer temperature conditions compared to the current climate. This trend is particularly pronounced in the SSP5-85 scenario, indicating faster warming, except for the northeastern mountainous regions of North Korea. This shows the benef its of lower emission scenarios and pursuing more efforts to limit greenhouse gas emissions. On the other hand, the CYPmax shows a wide range of feasible futures, which shows inherent uncertainties in f uture climate projections and the risks when analyzing a single model or a small number of model results, highlighting the importance of the ensemble approach. The f indings of this study on changes in rice productivity and uncertainties in temperature and solar radiation during the 21st century, based on climate change scenarios, hold value as f undamental information for climate change adaptation efforts.

• Journal of the Korean Solar Energy Society
• /
• v.29 no.3
• /
• pp.51-58
• /
• 2009

Recently, many social, economical and political problems have occurred in the field of urban energy supply because of the depletion of fossil fuels and the international climate change agreements and the current energy-related laws focus on individual buildings which makes them difficult to implement. Also, the policies for energy savings have increased day by day, but it is difficult to establish efficient urban plan because of lack of integrated policies and institutions. Current legal systems for urban plan does not cover domestic and international climate change agreements, energy related industry's structural changes and other environmental problems such as embodied energy and global warming. This paper tries to investigate current conditions of legal system to provide fundamental materials for improving energy conservation in urban plan.

• Journal of the Korean Institute of Traditional Landscape Architecture
• /
• v.42 no.2
• /
• pp.47-55
• /
• 2024

As climate change issues intensify, the importance of green spaces, a Nature-based Solution (NbS), is being emphasized for urban climate change adaptation. This study analyzes the carbon neutrality effects of the historical landscape forests of Seolleung and Jeongneung, large green spaces in urban areas, using the i-Tree Eco simulation. By doing so, the study underscores the significance of maintenance and management from a climate change adaptation perspective. For the simulation analysis, an inventory was established based on field-measured tree monitoring data of 10,643 trees within the study area, linked with climate data from nearby weather observation stations. The analysis results showed that the trees within the study area annually reduced air pollutants by 5,400 kg, stored 1,260 tons of carbon, and sequestered 98.23 tons of carbon. Additionally, since the study area primarily consists of forest species, it was found that it can secure relatively higher biomass accumulation compared to trees applied to street trees and park green spaces. This emphasizes the need for maintenance and management of historical landscape forests as urban resources that can contribute to national carbon neutrality due to their high forest structure integrity, in addition to their heritage preservation value.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.19 no.2
• /
• pp.1-13
• /
• 2016

In an effort to establish adaptive measures for low carbon use and climate change, this study developed storylines for shared socio-economic reference pathways(SSP) and simulated change in land use for each storyline. First, cellular automata modeling was performed using past data, and a transition rule for the local characteristics of each planning area under study was derived by comparing with the results of the base year. Second, three storylines were formulated based on the hypothesized change in land use for the SSP. SSP1, the scenario for sustainability, assumed that the land was developed into a compact city, SSP2 assumed the development of a road through the middle of the land while maintaining the current situation, and SSP3 assumed unsustainable development into a fragmented world. Third, change in land use depending on planning area was predicted by integrating the SSP scenarios with cellular automata(CA) modeling. According to the results of analysis using the SSP scenarios, the urban area ratio increased slightly up to 2020 in SSP1 and up to 2030 in SSP2 and did not change any more subsequently, but it increased continuously until 2050 in SSP3 that assumed low level urban planning. These results on change in land use are expected to contribute towards making reasonable decisions and policies on climate change, and the outcomes of simulation derived from spatial downscaling, if applied to vulnerability assessment, will be useful to set the priority of policies on climate change adaptation.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.19 no.4
• /
• pp.36-51
• /
• 2016

This study assessed urban flood risk using a Bayesian probability statistical method and GIS incorporating a climate change scenario. Risk is assessed based on a combination of hazard probability and its consequences, the degree of impact. Flood probability was calculated on the basis of a Bayesian model and future flood occurrence likelihoods were estimated using climate change scenario data. The flood impacts include human and property damage. Focusing on Seocho-gu, Seoul, the findings are as follows. Current flood probability is high in areas near rivers, as well as low lying and impervious areas, such as Seocho-dong and Banpo-dong. Flood risk areas are predicted to increase by a multiple of 1.3 from 2030 to 2050. Risk assessment results generally show that human risk is relatively high in high-rise residential zones, whereas property risk is high in commercial zones. The magnitude of property damage risk for 2050 increased by 6.6% compared to 2030. The proposed flood risk assessment method provides detailed spatial results that will contribute to decision making for disaster mitigation.

• Journal of Environmental Impact Assessment
• /
• v.19 no.2
• /
• pp.117-125
• /
• 2010

Korea's researchers have recently studied the prediction of forest change, but they have not considered landuse/cover change compared to distribution of forest vegetation. The purpose of our study is to predict forest vegetation based on landuse/cover change on the Korean Peninsula in the 2090's. The methods of this study were Multi-layer perceptrom neural network for Landuse/cover (water, urban, barren, wetland, grass, forest, agriculture) change and Multinomial Logit Model for distribution prediction for forest vegetation (Pinus densiflora, Quercus Spp., Alpine Plants, Evergreen Broad-Leaved Plants). The classification accuracy of landuse/cover change on the Korean Peninsula was 71.3%. Urban areas expanded with large cities as the central, but forest and agriculture area contracted by 6%. The distribution model of forest vegetation has 63.6% prediction accuracy. Pinus densiflora and evergreen broad-leaved plants increased but Quercus Spp. and alpine plants decreased from the model. Finally, the results of forest vegetation based on landuse/cover change increased Pinus densiflora to 38.9% and evergreen broad-leaved plants to 70% when it is compared to the current climate. But Quercus Spp. decreased 10.2% and alpine plants disappeared almost completely for most of the Korean Peninsula. These results were difficult to make a distinction between the increase of Pinus densiflora and the decrease of Quercus Spp. because of they both inhabit a similar environment on the Korean Peninsula.

• Journal of Environmental Science International
• /
• v.12 no.7
• /
• pp.697-704
• /
• 2003

Through data analysis using the meteorological data during 40 years(1961∼2000) for 2 stations(Daegu and Chupungnyong), we studied the present condition and long-term trends in urban climatic environments of Daegu. It was found that there was about 1.5$^{\circ}C$ rise in annual mean temperature of Daegu from 1961 to 2000. On the other hand, that of Chupungnyung was not more than 0.4$^{\circ}C$ for the same period. The regional disparity in temperature changes has been caused by the difference of urban effects on climate between two regions. In particular, the urban warming appears more significant in winter season. There was about 3$^{\circ}C$ rise in annual mean daily minimum temperature of winter season(Dec.∼Feb.) in Daegu. As the result, the number of winter days continuously decreased from 115 days(1961) to 75 days(2000). The long-term trends of relative humidity were also studied to exame the effects of urbanization on climate in Daegu. It was found that there was about 7% decrease in relative humidity of Daegu during past 40 years(1961∼2000). On the other side, the decrease of Chupungnyung was not more than 2% for the same period. The long-term trends of the other climatic factors(fog days, tropical night days, etc) were also studied in this study.

• Ocean and Polar Research
• /
• v.45 no.4
• /
• pp.219-228
• /
• 2023

One reason for the constant change of coastlines is related to natural factors such as waves, tides, changes in ocean currents, and sea level rise, and another reason is with regard to artificial factors such as man-made structures in coastal areas. The recent intensification of climate change is accelerating common efforts around the world to cope with the phenomenon of beach regression. Korea designates Coastal Erosion Management Zones under the 'Coast Management Act' to mitigate its coastal erosion. France, on the other hand, enacted the 2021 Climate Act that promotes adaptation to territory due to beach regression, while gradually limiting development activities at the urban planning level according to the proximity of the coastline through Loi Littoral (The French Coastal Law). This paper reviews the coastal erosion management legislation of both countries, derives implications for legislation in Korea based on an assessment ofFrench legislation, and presents an improvement plan.

• Atmosphere
• /
• v.29 no.2
• /
• pp.131-147
• /
• 2019

On the urban scale, Micro-climate analysis models for urban scale have been developed to investigate the atmospheric characteristics in urban surface in detail and to predict the micro-climate change due to the changes in urban structure. BioCAS (Biometeorological Climate Impact Assessment System) is a system that combines such analysis models and has been implemented internally in the Korea Meteorological Administration. One of role in this system is the analysis of the health impact by heat waves in urban area. In this study, the vegetation cooling models A and B were developed and linked with BioCAS and evaluated by the temperature drop at the vegetation areas during ten selected heat-wave days. Smaller prediction errors were found as a result of applying the vegetation cooling models to the heat-wave days. In addition, it was found that the effects of the vegetation cooling models produced different results according to the distribution of vegetation area in land cover near each observation site - the improvement of the model performance on temperature analysis was different according to land use at each location. The model A was better fitted where the surrounding vegetation ratio was 50% or more, whereas the model B was better where the vegetation ratio was less than 50% (higher building and impervious areas). Through this study, it should be possible to select an appropriate vegetation cooling model according to its fraction coverage so that the temperature analysis around built-up areas would be improved.