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1.
Sci Total Environ ; 761: 143179, 2021 Mar 20.
Artigo em Inglês | MEDLINE | ID: mdl-33160658

RESUMO

Coastal cities face increasing natural disaster risks. Developing a green infrastructure network can reduce coastal vulnerability by connecting green spaces. Only a few researchers have examined practical guidelines for a green infrastructure network in coastal cities. Therefore, the purpose of this study is to build a green infrastructure network by integrating potential evacuation routes and green spaces in a coastal city. The Haeundae District in South Korea was chosen as the study site. We constructed a green infrastructure network using space syntax and GIS network analysis. The results of this study showed that first, we created an integrated green infrastructure network by building evacuation route networks and urban ecological networks. Second, we evaluated the evacuation function and flood risk. Finally, we proposed green infrastructure network planning for coastal disasters, including hub and corridor design. This study can contribute to establishing strategies to reduce vulnerability in coastal cities.

2.
Sensors (Basel) ; 19(14)2019 Jul 19.
Artigo em Inglês | MEDLINE | ID: mdl-31330996

RESUMO

In recent years, the enormous losses caused by urban surface deformation have received more and more attention. Traditional geodetic techniques are point-based measurements, which have limitations in using traditional geodetic techniques to detect and monitor in areas where geological disasters occur. Therefore, we chose Interferometric Synthetic Aperture Radar (InSAR) technology to study the surface deformation in urban areas. In this research, we discovered the land subsidence phenomenon using InSAR and Global Navigation Satellite System (GNSS) technology. Two different kinds of time-series InSAR (TS-InSAR) methods: Small BAseline Subset (SBAS) and the Permanent Scatterer InSAR (PSI) process were executed on a dataset with 31 Sentinel-1A Synthetic Aperture Radar (SAR) images. We generated the surface deformation field of Shenzhen, China and Hong Kong Special Administrative Region (HKSAR). The time series of the 3d variation of the reference station network located in the HKSAR was generated at the same time. We compare the characteristics and advantages of PSI, SBAS, and GNSS in the study area. We mainly focus on the variety along the coastline area. From the results generated by SBAS and PSI techniques, we discovered the occurrence of significant subsidence phenomenon in the land reclamation area, especially in the metro construction area and the buildings with a shallow foundation located in the land reclamation area.

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