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      KCI등재

      폭우에 대한 도시 기후탄력성 제고를 위한 그린인프라 평가체계 구축방안 연구 = A study on a green infrastructure evaluation system for enhancing urban climate resilience to heavy rainfall

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      https://www.riss.kr/link?id=A109243746

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      Urban climate resilience, which involves transforming cities to adapt to climate change, has gained significant attention in recent years. Although previous research has explored urban climate resilience, the inherent complexity and constant evolution of urban environments present challenges for quantitative approaches. This study focuses specifically on 'heavy rain' the most damaging climate event and 'green infrastructure,' a crucial component of urban climate resilience. It introduces a conceptual framework and a quantitative evaluation methodology based on supply and demand metrics. The study posits that urban climate resilience can be enhanced as the supply of green infrastructure increases relative to demand. Demand is evaluated through factors such as precipitation, topography, land cover, and population characteristics, enabling simulations of changes due to future climate and socioeconomic shifts. Supply, on the other hand, is evaluated based on the type and area of green infrastructure, allowing the methodology to account for efforts to expand or enhance green infrastructure. The pilot application of this methodology to Suwon City, Gyeonggi-do, revealed that 43.8% of the entire area had insufficient supply compared to demand (indicating low climate resilience), and this was particularly pronounced around the Gosaek and Mangpo stations in the southern region. The study demonstrated that the calculated climate resilience values accurately reflected the actual urban space and the historical or potential damage from heavy rain.
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      Urban climate resilience, which involves transforming cities to adapt to climate change, has gained significant attention in recent years. Although previous research has explored urban climate resilience, the inherent complexity and constant evolution...

      Urban climate resilience, which involves transforming cities to adapt to climate change, has gained significant attention in recent years. Although previous research has explored urban climate resilience, the inherent complexity and constant evolution of urban environments present challenges for quantitative approaches. This study focuses specifically on 'heavy rain' the most damaging climate event and 'green infrastructure,' a crucial component of urban climate resilience. It introduces a conceptual framework and a quantitative evaluation methodology based on supply and demand metrics. The study posits that urban climate resilience can be enhanced as the supply of green infrastructure increases relative to demand. Demand is evaluated through factors such as precipitation, topography, land cover, and population characteristics, enabling simulations of changes due to future climate and socioeconomic shifts. Supply, on the other hand, is evaluated based on the type and area of green infrastructure, allowing the methodology to account for efforts to expand or enhance green infrastructure. The pilot application of this methodology to Suwon City, Gyeonggi-do, revealed that 43.8% of the entire area had insufficient supply compared to demand (indicating low climate resilience), and this was particularly pronounced around the Gosaek and Mangpo stations in the southern region. The study demonstrated that the calculated climate resilience values accurately reflected the actual urban space and the historical or potential damage from heavy rain.

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      참고문헌 (Reference)

      1 KMA, "Weather characteristics in 2018 (Korea Meteorological Administration Press Relase. 2019. 01. 08.)"

      2 윤은주 ; 이동근 ; 김호걸 ; 최광림, "Vulnerable homogeneous hotspot areas of the industrial sector for the climate change -Focused on mitigation and adaptation perspective-" 7 (7): 69-75, 2016

      3 Gunawardena KR, "Utilising green and bluespace to mitigate urban heat island intensity" 584-585 : 1040-1055, 2017

      4 Sharifi A, "Urban resilience: A transformative approach" Springer 259-276, 2016

      5 Ribeiro PJG, "Urban resilience : A conceptual framework" 50 : 101625-, 2019

      6 Aram F, "Urban green space cooling effect in cities" 5 (5): E01339-, 2019

      7 GLA, "Urban Greening Factor (UGF) guidance"

      8 KMA, "This summer, the national average temperature was 1℃ higher than the average year, and precipitation fell 291.2mm more (Korea Meteorological Administration Press Relase. 2023. 09. 07.)"

      9 Zhong J, "The spatial equilibrium analysis of urban green space and human activity in Chengdu, China" 259 : 120754-, 2020

      10 이근상 ; 이현석 ; 정관수, "The analysis of flood damage assessment using MD-FDA based on inundation trace map" 19 (19): 29-40, 2017

      1 KMA, "Weather characteristics in 2018 (Korea Meteorological Administration Press Relase. 2019. 01. 08.)"

      2 윤은주 ; 이동근 ; 김호걸 ; 최광림, "Vulnerable homogeneous hotspot areas of the industrial sector for the climate change -Focused on mitigation and adaptation perspective-" 7 (7): 69-75, 2016

      3 Gunawardena KR, "Utilising green and bluespace to mitigate urban heat island intensity" 584-585 : 1040-1055, 2017

      4 Sharifi A, "Urban resilience: A transformative approach" Springer 259-276, 2016

      5 Ribeiro PJG, "Urban resilience : A conceptual framework" 50 : 101625-, 2019

      6 Aram F, "Urban green space cooling effect in cities" 5 (5): E01339-, 2019

      7 GLA, "Urban Greening Factor (UGF) guidance"

      8 KMA, "This summer, the national average temperature was 1℃ higher than the average year, and precipitation fell 291.2mm more (Korea Meteorological Administration Press Relase. 2023. 09. 07.)"

      9 Zhong J, "The spatial equilibrium analysis of urban green space and human activity in Chengdu, China" 259 : 120754-, 2020

      10 이근상 ; 이현석 ; 정관수, "The analysis of flood damage assessment using MD-FDA based on inundation trace map" 19 (19): 29-40, 2017

      11 Lovell ST, "Supplying urban ecosystem services through multifunctional green infrastructure in the United States" 28 : 1447-1463, 2013

      12 김용국 ; 손용훈, "Study on the green infrastructure application with planning system -Focused on green infrastructure planning and policy in the UK-" 47 (47): 69-86, 2012

      13 Vallecillo S, "Spatial alternatives for green infrastructure planning across the EU : An ecosystem service perspective" 174 : 41-54, 2018

      14 Adger WN, "Social-ecological resilience to coastal disasters" 309 (309): 1036-1039, 2005

      15 KMA, "SSP Scenarioss"

      16 SRTM, "SRTM 1 Arc-Second Global"

      17 Statistics Korea, "Population Map"

      18 Li L, "Planning green infrastructure to mitigate urban surface water flooding risk-A methodology to identify priority areas applied in the city of Ghent" 194 : 103703-, 2020

      19 Norton BA, "Planning for cooler cities : A framework to prioritise green infrastructure to mitigate high temperatures in urban landscapes" 134 : 127-138, 2015

      20 Kabisch N, "Nature-based solutions to climate change mitigation and adaptation in urban areas : Perspectives on indicators, knowledge gaps, barriers, and opportunities for action" 21 (21): 39-, 2016

      21 Senes G, "Nature-based solutions for storm water management-Creation of a green infrastructure suitability map as a tool for land-use planning at the municipal level in the province of Monza-Brianza(Italy)" 13 (13): 6124-, 2021

      22 Douxchamps S, "Monitoring and evaluation of climate resilience for agricultural development-A review of currently available tools" 5 : 10-23, 2017

      23 Demuzere M, "Mitigating and adapting to climate change : Multifunctional and multi-scale assessment of green urban infrastructure" 146 : 107-115, 2014

      24 Meng S, "Matches and mismatches between the supply of and demand for cultural ecosystem services in rapidly urbanizing watersheds : A case study in the guanting reservoir basin, China" 45 : 101156-, 2020

      25 EPA, "Managing wet weather with green infrastructure action strategy" EPA 2008

      26 Hegetschweiler KT, "Linking demand and supply factors in identifying cultural ecosystem services of urban green infrastructures : A review of European studies" 21 : 48-59, 2017

      27 MOE, "Land Cover Map"

      28 박종화 ; 조기혁, "Influence of park size on the park cooling effect -Focused on Ilsan new town in Korea-" 51 (51): 247-261, 2016

      29 Watts N, "Health and climate change : Policy responses to protect public health" 386 (386): 1861-1914, 2015

      30 ME, "Guidelines for preparation of urban ecological maps"

      31 Benedict MA, "Green infrastructure : Conservation for the 21st century" 20 (20): 12-17, 2002

      32 MOE, "Flood Risk Map"

      33 이지선 ; 김규랑 ; 조창범 ; 강미선 ; 하종철 ; 김동수, "Evaluating the accuracies of the WBGT estimation models and their onsite applicability in Korea" 19 (19): 53-63, 2019

      34 Kim EY, "Evaluating and improving urban resilience to climate change in Suwon" Suwon Research Institute 2017

      35 Han D, "Economic impacts of flood disaster by climate change on industry and selection of structural measures for flood prevention in the basin using economic analysis" Inha University 2020

      36 Meerow S, "Defining urban resilience : A review" 147 : 38-49, 2016

      37 Langemeyer J, "Contrasting values of cultural ecosystem services in urban areas : The case of Park Montjuïc in Barcelona" 12 : 178-186, 2015

      38 Simonovic SP, "Comparison of static and dynamic resilience for a multipurpose reservoir operation" 52 (52): 8630-8649, 2016

      39 IPCC, "Climate change 2021 - The physical science basis: Working group I contribution to the sixth assessment report of the Intergovernmental Panel on Climate Change" Cambridge University Press 2021

      40 Wang K, "Built-up land expansion and its impacts on optimizing green infrastructure networks in a resource-dependent city" 55 : 102026-, 2020

      41 Kaur R, "Blue-Green Infrastructure(BGI)network in urban areas for sustainable storm water management : A geospatial approach" 16 : 100087-, 2022

      42 Larondelle N, "Balancing demand and supply of multiple urban ecosystem services on different spatial scales" 22 : 18-31, 2016

      43 조형진 ; 김경배, "Assessment of the social vulnerability in the climate change induced-flood risk: Focused on the city of Incheon" 10 (10): 341-354, 2015

      44 Dai X, "Assessing the ecological balance between supply and demand of blue-green infrastructure" 288 : 112454-, 2021

      45 김병찬 ; 강재우 ; 박찬 ; 김현진, "Analysis of Urban Heat Island (UHI) alleviating effect of urban parks and green space in seoul using Deep Neural Network (DNN) model" 48 (48): 19-28, 2020

      46 Oh S, "A study on the optimal pervious/impervious map generation method for urban impervious ratio estimation based on GIS" Inha University 2015

      47 김효민 ; 이동근 ; 박찬, "A study on selection for vulnerable area of urban flooding adaptable capacity using MaxEnt in Seoul" 48 (48): 205-217, 2013

      48 Yeo U, "A study on enhancing response to climate change using spatial analysis of green infrastructure" Busan Development Institute 2021

      49 Song IJ, "A strategy for constructing green infrastructure in Seoul from the perspective of urban planning" The Seoul Institute 2022

      50 Bruneau M, "A framework to quantitatively assess and enhance the seismic resilience of communities" 19 (19): 733-752, 2003

      51 Tyler S, "A framework for urban climate resilience" 4 (4): 311-326, 2012

      52 김지영 ; 박종화 ; 조병호 ; 이삼수, "A comparative analysis of disaster vulnerability factors between declining areas and urban areas" 21 (21): 2021-2032, 2020

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