2023
DOI: 10.3390/ijerph20043096
|View full text |Cite
|
Sign up to set email alerts
|

Nature-Based Restoration Simulation for Disaster-Prone Coastal Area Using Green Infrastructure Effect

Abstract: 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 gre… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
4
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(5 citation statements)
references
References 32 publications
1
4
0
Order By: Relevance
“…Therefore, the widest possible implementation of such solutions should be pursued. This is confirmed by research by Song et al [22], who noted that the existing gray infrastructure requires nature-based restoration using GI. The need to use nature-based solutions that eliminate the negative effects of urbanization has also been highlighted by other authors [23,24].…”
Section: Introductionsupporting
confidence: 68%
“…Therefore, the widest possible implementation of such solutions should be pursued. This is confirmed by research by Song et al [22], who noted that the existing gray infrastructure requires nature-based restoration using GI. The need to use nature-based solutions that eliminate the negative effects of urbanization has also been highlighted by other authors [23,24].…”
Section: Introductionsupporting
confidence: 68%
“…Given the shift of populations from rural to urban areas, thereby resulting in the enlargement of urban areas, and an increase in the number of man-made structures and buildings, a decrease in the accessibility to green spaces has occurred, and therefore an exacerbation of issues related to flooding and water quality (stormwater management) as well as air quality have been observed in urban areas. Therefore, the effectiveness of these solutions in rural areas are not so determinant since the impermeability of roofs combined with a reduction in green areas is more noticeable in cities, due to their densification in recent years [18].…”
Section: Methodology and Data Collectionmentioning
confidence: 99%
“…As an example, the use of vegetated sustainable drainage systems (SUDS) in the UK is encouraged (e.g., green roofs, vegetated swales, rain gardens), for surface water runoff management due to their similarity to natural processes (i.e., infiltrating and attenuating), constituting thus a further sustainable and resilient measure for stormwater management [20]. Furthermore, and due to the structural constraints and high maintenance costs of the current grey infrastructures, Song et al 2023 [18] emphasize the significance of NbS in overcoming coastal flooding, describing that a maximum of 30% of the green infrastructure area (that may respond to climate change and the recovery of natural ecological processes away from the artificial area) offered the best flood protection and resilience. Infiltration storage facilities, followed by green roofs, are the most effective kind of land cover, while porous pavement has the lowest impact.…”
Section: Nature-based Solutions For Urban Rainwater Managementmentioning
confidence: 99%
See 1 more Smart Citation
“…Climate change can increase rainfall and its return period, resulting in excess flow and increased runoff and pollutant rates. Not only in urban areas but also in coastal areas, LID implementation is needed to reduce the risk of flooding due to typhoon storms [34]. LID practices can effectively reduce urban inundation, including hydraulic parameters such as inundation depth, inundation area, and inundation time [35].…”
Section: Overview Of Lid Techniquementioning
confidence: 99%