Floods in coastal areas are caused by a range of complex factors such as typhoons and heavy rainfall, and this issue has become increasingly serious as interference has occurred in the social-ecological system in recent years. Given the structural limitations and high maintenance costs of the existing gray infrastructure, the need for a nature-based restoration plan utilizing green infrastructure has been raised. The purpose of this study is to simulate the restoration process through the quantification of green infrastructure effects along with resilience in disaster-prone coastal areas, and to present it as nature-based restoration planning. For this purpose, first, a disaster-prone area was derived from Haeundae-gu, Busan, Republic of Korea, which was affected by typhoons. In order to simulate the runoff from typhoon “Chaba” in the target area and the effects of reducing the runoff of green infrastructure, relevant data was collected and a model constructed. Finally, the effects of the green infrastructure as applied to the disaster-prone area were quantified by means of resilience and a nature-based restoration plan was presented. As a result of this study, first, the runoff reduction effect was greatest when the maximum biotope area ratio of 30% was applied to the artificial ground. In the case of the green roof, the effect was the greatest 6 h following the typhoon passing through, and the effects of the infiltration storage facility was greater 9 h following the same. Porous pavement exhibited the lowest runoff reduction effect. In terms of resilience, it was found that the system was restored to its original state after the biotope area ratio of 20% was applied. This study is significant in that it analyzes the effects of green infrastructure based upon the concept of resilience and connects them to nature-based restoration planning. Based on this, it will be provided as an important tool for planning policy management to effectively respond to future coastal disasters.

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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.

Sustainable designs like low-carbon landscapes are key to lowering the anthropogenic carbon footprint of our society and promoting harmony with natural ecosystems. We can design low-carbon landscapes for terrestrial (e.g. forests and urban farming areas) as well as aquatic (e.g. urban streams, ponds, and wetlands) urban spaces. Ecological interactions between water and soil in an urban ecosystem cause high carbon accumulation rates, especially in waterfront areas. Furthermore, heat absorption at waterfronts also significantly mitigates urban heat island effect. Therefore, urban open spaces with waterfronts are ecologically vital and may help us cope with climate change. However, the design and application of urban low-carbon landscapes are still in the conceptual phase and the creation a low carbon city remains as a preliminary draft. At present, there are very few studies measuring carbon emissions and carbon absorptions in the urban area. Moreover, studies that analyze low-carbon landscape components and their social effects are needed. In this study, we propose a novel conceptual definition of low-carbon landscape and investigate the research methods related to low-carbon landscape design. We have also listed numerous case studies of urban waterfronts scrutinizing the various components of a low-carbon landscape.