Stormwater runoff reduction simulation model for urban flood restoration in coastal area
■ Abstract :
Urban floods caused by expanding impervious areas due to urban development and short-term heavy precipitation adversely affect many coastal cities. Notably, Seoul, one of the coastal cities that experiences acute urban floods, suffers annually from urban floods during the rainfall season. Consequently, to mitigate the impacts of urban floods in Seoul, we established flood-vulnerable areas as target areas where green infrastructure planning was applied using the Stormwater Runoff Reduction Module (SRRM). We selected the Gangdong, Gangbuk, and Dobong districts in Seoul, Korea, all of which demonstrate high flood vulnerability. Analyses in reducing the runoff amount and peak time delay effect were estimated by model simulation using the SRRM. The reduction in peak discharge for the whole area occurred in the following order: Gangdong district, then Gangbuk district, and lastly Dobong district. In contrast, the reduction in peak discharge per unit area was most prominent in Gangbuk district, followed by Dobong and Gangdong districts. However, the delay effect was almost identical in all target areas. Based on the simulation results in this study, we planned green infrastructure, including green roofs, infiltration storage facilities, and porous pavement. We believe that the results of this study can significantly enhance the efficiency of urban flood restoration and green infrastructure planning in coastal cities.
■ Keywords :
Green infrastructure, System dynamics, Urban flood restoration, Flood vulnerability, Peak discharge
How Can Apartment-Complex Landscaping Space Improve Residents’ Psychological Well-Being?: The Case of the Capital Region in South Korea
■ Abstract :
Urban green spaces have a positive impact on citizens’ mental health and have contributed to improving their quality of life during the COVID-19 pandemic. In South Korea, where more than 50% of all households live in apartments, apartment-complex landscaping space plays the role of urban green space. This study aimed to investigate the relationships among a perceived restorative environment, restorative experience, life satisfaction, and psychological well-being by conducting a survey between residents living in apartments with landscape space. More specifically, an online survey was conducted from 8 to 15 June 2021 among residents in apartment complexes (500 households or more) located in the capital region in South Korea. We applied partial least squares structural equation modelling (PLS-SEM) using 220 samples to test the causal relationship presented in the conceptual model of this study. The results revealed that residents’ perceptions of the restorative environment of landscape space, including fascination, being away, and coherence had positive effects on restorative attention. Among the restorative environmental factors, the higher the “being away”, the greater the effect on restorative attention. Second, the effects of fascination and coherence on life satisfaction were mediated by restorative attention. Third, restorative attention and life satisfaction significantly influenced psychological well-being. Additionally, life satisfaction acts as a mediator in the relationship between restorative attention and psychological well-being. In summary, this study has theoretical implications, in that it explores the effects of apartment complex landscaping space as urban green spaces on residents’ mental health.
The importance of the Mujechineup wetland for biodiversity: an evaluation of habitat quality and ecosystem service value
■ Abstract :
Wetlands are important multifunctional systems that provide various ecological services for animal populations, particularly with regard to regulation and support. The biodiversity of wetlands is threatened by human activities that cause habitat fragmentation and destruction. The international community needs to make efforts to measure habitat quality and recognize the value of biodiversity. This study aimed to evaluate the value of Nannophya koreana habitat restoration in the Mujechineup wetland. First, through a literature review, this study estimated the expected ecosystem service value of the Mujechineup wetland compared to existing wetlands. The Mujechineup wetland's ecosystem service value ranged from a minimum of $109,296.00 (SD $32,752.00) to a maximum of $679,457.14 (SD $4,611,730.90). Second, we quantified the habitat quality of the Mujechineup wetland in Ulsan for biodiversity measurements using the integrated valuation of ecosystem services and tradeoffs (InVEST). The analysis showed that there was a difference in the quality of the habitat depending on the spatial unit. Samdong-myeon was processed for 2 min with a mean value of 0.094. Ulju-gun was processed for 1 h 14 min with a mean value of 0.146. In addition, as a result of the field survey, the ratio of Hemiptera, Odonata and Coleoptera (HOC) groups in the Mujechineup wetland where Nannophya koreana lives was more than 50%, but the ratio of predators was approximately 10% on average. Third, this study investigated the willingness to pay to restore the habitat of Nannophya koreana, which lives in the Mujechineup wetland. The average amount that people would be willing to pay annually for the restoration of the Mujechineup wetland was $33,652. The study found that awareness of the importance of Nannophya koreana and the need for restoration of its habitat environment was high. These findings can be used to recognize the value of the Mujechineup wetland as a habitat for Nannophya koreana and to communicate its importance.
Evaluation of Performance and Maintenance Cost for Roadside’s Particulate Matter Reduction Devices Using Smart Green Infrastructure Technology
■ Abstract :
The Green Purification Unit System (GPUS) is a green infrastructure facility applicable to the roadside to reduce particulate matter from road traffic. This study introduces two types of GPUS (type1 and type2) and assesses the performance and maintenance costs of each of them. The GPUS's performance analysis used the data collected in November 2021 after the installation of the GPUS type1 and type2 at the study site in Suwon. The changes in the particulate matter concentration near the GPUS were measured. The maintenance cost of GPUS type1 and type2 was assessed by calculating the initial installation cost and the management and repair cost after installation. The results of the performance analysis showed that the GPUS type1, which was manufactured by combining plants and electric dust collectors, had a superior particulate matter reduction performance. In particular, type1 produced a greater effect of particulate matter reduction in the time with a high concentration (50μg/㎥ or higher) of particulate matter due to the operation of electric dust collectors. GPUS type2, which was designed in the form of a plant wall without applying an electric dust collector, showed lower reduction performance than type1 but showed sufficiently improved performance compared to the existing band green area. Meanwhile, the GPUS type1 had three times higher costs for the initial installation than GPUS type2. In terms of costs for managing and repairing, it was evaluated that type1 would be slightly more costly than type2. Finally, this study discussed the applicability of two types of GPUS based on the result of the analysis of their particulate matter performance and maintenance cost at the same time. Since GPUS type2 has a cheaper cost than type1, it could be more economical. However, in the area suffering a high concentration of particulate matter, GPUS type1 would be more effective than type2. Therefore, the choice of GPUS types should rely on the status of particulate matter concentration in the area where GPUS is being installed.
■ Keywords :
Green infrastructure, Green wall, Plant, Air quality management, Fine dust
■ Publication date : 2022.08
■ Journal : 한국환경복원기술학회지 Journal of Korean Environmental Restoration Technology
Street Tree Planning to Improve Public Health and Ecosystem Resilience in Urban Areas: A Scenario Analysis Using a System Dynamics Model
■ Abstract :
Increases in particulate matter in cities threaten both public health and ecosystems. Street trees, which are a corridor-type green infrastructure capable of absorbing particulate matter, have been promoted as one possible solution to this problem. However, planting selected trees solely with the goal of reducing particulate matter may adversely affect street tree ecosystem resilience by inhibiting species diversity. This study aims to investigate urban street tree planting strategies that reduce particulate matter while maintaining ecosystem resilience. To this end, a study site in Suwon, South Korea was selected, and street tree planting scenarios were developed based on the selected site information. A scenario analysis was conducted using a system dynamics model. The model simulated the long-term trends under each scenario regarding the amount of particulate matter absorbed by the trees and the changes in species diversity. The analysis results clearly show that strategic planting of street trees while focusing on only a specific purpose—reducing particulate matter—can adversely affect ecosystem resilience. The scenario analysis also revealed that increasing the number of street trees while maintaining a balance among various species is the best option for reducing particulate matter without degrading species diversity. Additionally, the results support the need to plant evergreen species to consider the winter season.
■ Keywords :
Urban ecosystem health, Urban air pollution; particulate matter; fine dust; species diversity; environmental benefits
■ Publication date : 2022.01
■ Journal : International Journal of Environmental Research and Public Health
■ Title : Green Infrastructure Introduction and Planting Base Planning for a Sustainable Waterfront-City using Causal Loop Structure Analysis - Focus on Busan Eco-Delta City -
■ Title :
Stormwater runoff reduction simulation model for urban flood restoration in coastal area
■ Abstract :
Urban floods caused by expanding impervious areas due to urban development and short-term heavy precipitation adversely affect many coastal cities. Notably, Seoul, one of the coastal cities that experiences acute urban floods, suffers annually from urban floods during the rainfall season. Consequently, to mitigate the impacts of urban floods in Seoul, we established flood-vulnerable areas as target areas where green infrastructure planning was applied using the Stormwater Runoff Reduction Module (SRRM). We selected the Gangdong, Gangbuk, and Dobong districts in Seoul, Korea, all of which demonstrate high flood vulnerability. Analyses in reducing the runoff amount and peak time delay effect were estimated by model simulation using the SRRM. The reduction in peak discharge for the whole area occurred in the following order: Gangdong district, then Gangbuk district, and lastly Dobong district. In contrast, the reduction in peak discharge per unit area was most prominent in Gangbuk district, followed by Dobong and Gangdong districts. However, the delay effect was almost identical in all target areas. Based on the simulation results in this study, we planned green infrastructure, including green roofs, infiltration storage facilities, and porous pavement. We believe that the results of this study can significantly enhance the efficiency of urban flood restoration and green infrastructure planning in coastal cities.
■ Keywords :
Green infrastructure, System dynamics, Urban flood restoration, Flood vulnerability, Peak discharge
■ Publication date : 2022.07
■ Journal : Natural Hazards
■ DOI : 10.1007/s11069-022-05477-7
■ Title :
How Can Apartment-Complex Landscaping Space Improve Residents’ Psychological Well-Being?: The Case of the Capital Region in South Korea
■ Abstract :
Urban green spaces have a positive impact on citizens’ mental health and have contributed to improving their quality of life during the COVID-19 pandemic. In South Korea, where more than 50% of all households live in apartments, apartment-complex landscaping space plays the role of urban green space. This study aimed to investigate the relationships among a perceived restorative environment, restorative experience, life satisfaction, and psychological well-being by conducting a survey between residents living in apartments with landscape space. More specifically, an online survey was conducted from 8 to 15 June 2021 among residents in apartment complexes (500 households or more) located in the capital region in South Korea. We applied partial least squares structural equation modelling (PLS-SEM) using 220 samples to test the causal relationship presented in the conceptual model of this study. The results revealed that residents’ perceptions of the restorative environment of landscape space, including fascination, being away, and coherence had positive effects on restorative attention. Among the restorative environmental factors, the higher the “being away”, the greater the effect on restorative attention. Second, the effects of fascination and coherence on life satisfaction were mediated by restorative attention. Third, restorative attention and life satisfaction significantly influenced psychological well-being. Additionally, life satisfaction acts as a mediator in the relationship between restorative attention and psychological well-being. In summary, this study has theoretical implications, in that it explores the effects of apartment complex landscaping space as urban green spaces on residents’ mental health.
■ Keywords :
Urban green space, Apartment complex, Attention restoration theory, Restorative environments, Well-being
■ Publication date : 2022.08
■ Journal : International Journal of Environmental Research and Public Health
■ DOI : 10.3390/ijerph191610231
■ Title :
The importance of the Mujechineup wetland for biodiversity: an evaluation of habitat quality and ecosystem service value
■ Abstract :
Wetlands are important multifunctional systems that provide various ecological services for animal populations, particularly with regard to regulation and support. The biodiversity of wetlands is threatened by human activities that cause habitat fragmentation and destruction. The international community needs to make efforts to measure habitat quality and recognize the value of biodiversity. This study aimed to evaluate the value of Nannophya koreana habitat restoration in the Mujechineup wetland. First, through a literature review, this study estimated the expected ecosystem service value of the Mujechineup wetland compared to existing wetlands. The Mujechineup wetland's ecosystem service value ranged from a minimum of $109,296.00 (SD $32,752.00) to a maximum of $679,457.14 (SD $4,611,730.90). Second, we quantified the habitat quality of the Mujechineup wetland in Ulsan for biodiversity measurements using the integrated valuation of ecosystem services and tradeoffs (InVEST). The analysis showed that there was a difference in the quality of the habitat depending on the spatial unit. Samdong-myeon was processed for 2 min with a mean value of 0.094. Ulju-gun was processed for 1 h 14 min with a mean value of 0.146. In addition, as a result of the field survey, the ratio of Hemiptera, Odonata and Coleoptera (HOC) groups in the Mujechineup wetland where Nannophya koreana lives was more than 50%, but the ratio of predators was approximately 10% on average. Third, this study investigated the willingness to pay to restore the habitat of Nannophya koreana, which lives in the Mujechineup wetland. The average amount that people would be willing to pay annually for the restoration of the Mujechineup wetland was $33,652. The study found that awareness of the importance of Nannophya koreana and the need for restoration of its habitat environment was high. These findings can be used to recognize the value of the Mujechineup wetland as a habitat for Nannophya koreana and to communicate its importance.
■ Keywords :
Ecosystem service, Restoration, Endangerd species, Wildlife, Nannophya koreana
■ Publication date : 2022.08
■ Journal : Landscape and Ecological Engineering
■ DOI : 10.1007/s11355-022-00520-y
■ Title :
스마트 그린인프라 기술을 활용한 도로변 미세먼지 저감장치의 성능 및 유지·관리 비용 평가
Evaluation of Performance and Maintenance Cost for Roadside’s Particulate Matter Reduction Devices Using Smart Green Infrastructure Technology
■ Abstract :
The Green Purification Unit System (GPUS) is a green infrastructure facility applicable to the roadside to reduce particulate matter from road traffic. This study introduces two types of GPUS (type1 and type2) and assesses the performance and maintenance costs of each of them. The GPUS's performance analysis used the data collected in November 2021 after the installation of the GPUS type1 and type2 at the study site in Suwon. The changes in the particulate matter concentration near the GPUS were measured. The maintenance cost of GPUS type1 and type2 was assessed by calculating the initial installation cost and the management and repair cost after installation. The results of the performance analysis showed that the GPUS type1, which was manufactured by combining plants and electric dust collectors, had a superior particulate matter reduction performance. In particular, type1 produced a greater effect of particulate matter reduction in the time with a high concentration (50μg/㎥ or higher) of particulate matter due to the operation of electric dust collectors. GPUS type2, which was designed in the form of a plant wall without applying an electric dust collector, showed lower reduction performance than type1 but showed sufficiently improved performance compared to the existing band green area. Meanwhile, the GPUS type1 had three times higher costs for the initial installation than GPUS type2. In terms of costs for managing and repairing, it was evaluated that type1 would be slightly more costly than type2. Finally, this study discussed the applicability of two types of GPUS based on the result of the analysis of their particulate matter performance and maintenance cost at the same time. Since GPUS type2 has a cheaper cost than type1, it could be more economical. However, in the area suffering a high concentration of particulate matter, GPUS type1 would be more effective than type2. Therefore, the choice of GPUS types should rely on the status of particulate matter concentration in the area where GPUS is being installed.
■ Keywords :
Green infrastructure, Green wall, Plant, Air quality management, Fine dust
■ Publication date : 2022.08
■ Journal : 한국환경복원기술학회지 Journal of Korean Environmental Restoration Technology
■ DOI : 10.13087/kosert.2022.25.4.15
■ Title :
Street Tree Planning to Improve Public Health and Ecosystem Resilience in Urban Areas: A Scenario Analysis Using a System Dynamics Model
■ Abstract :
Increases in particulate matter in cities threaten both public health and ecosystems. Street trees, which are a corridor-type green infrastructure capable of absorbing particulate matter, have been promoted as one possible solution to this problem. However, planting selected trees solely with the goal of reducing particulate matter may adversely affect street tree ecosystem resilience by inhibiting species diversity. This study aims to investigate urban street tree planting strategies that reduce particulate matter while maintaining ecosystem resilience. To this end, a study site in Suwon, South Korea was selected, and street tree planting scenarios were developed based on the selected site information. A scenario analysis was conducted using a system dynamics model. The model simulated the long-term trends under each scenario regarding the amount of particulate matter absorbed by the trees and the changes in species diversity. The analysis results clearly show that strategic planting of street trees while focusing on only a specific purpose—reducing particulate matter—can adversely affect ecosystem resilience. The scenario analysis also revealed that increasing the number of street trees while maintaining a balance among various species is the best option for reducing particulate matter without degrading species diversity. Additionally, the results support the need to plant evergreen species to consider the winter season.
■ Keywords :
Urban ecosystem health, Urban air pollution; particulate matter; fine dust; species diversity; environmental benefits
■ Publication date : 2022.01
■ Journal : International Journal of Environmental Research and Public Health
■ IF : 3.39
■ DOI : 10.3390/ijerph19031625
■ Title : Green Infrastructure Introduction and Planting Base Planning for a Sustainable Waterfront-City using Causal Loop Structure Analysis - Focus on Busan Eco-Delta City -
■ Publication date : 2021.12
■ Journal : Journal of Climate Change Research
■ DOI : 10.15531/KSCCR.2021.12.6.645
■ Title : Simulation Modeling of the Impact of Four Major River Weir Opening for the Nature Recovery
■ Publication date : 2021.09
■ Journal : Journal of Korean System Dynamics Society
■ DOI : 10.32588/ksds.22.3.1
■ Title : Adaptation and transformation planning for resilient social-ecological system in coastal wetland using spatial-temporal simulation
■ Publication date : 2021.10
■ Journal : Science of The Total Environment
■ IF : 6.551
■ DOI : 10.1016/j.scitotenv.2021.148007
■ Title : Derivation of Green Infrastructure Planning Factors for Reducing Particulate Matter - Using Text Mining -
■ Publication date : 2021.10
■ Journal : Journal of the Korean Institute of Landscape Architecture (KCI)
■ DOI : https://doi.org/10.9715/KILA.2021.49.5.079
■ Title : Development and Verification of the Effectiveness of a Fine Dust Reduction Planting Model for Socially Vulnerable Area
■ Publication date : 2021.08
■ Journal : Sustainability
■ IF : 3.251
■ DOI : 10.3390/su13168820