Investigating socio-ecological vulnerability to climate change via remote sensing and a data-driven ranking algorithm DOI
Harrison Odion Ikhumhen, Qinhua Fang, Shanlong Lu

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 347, P. 119254 - 119254

Published: Oct. 6, 2023

Language: Английский

An integrated assessment of urban flooding risk and resilience based on spatial grids DOI

Zhenliang Liao,

Xinyu He, Wenchong Tian

et al.

Urban Water Journal, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 12

Published: Jan. 2, 2025

During heavy rainfall events, stormwater exceeds the drainage capacity and overflows onto urban surface, causing flooding problems. Risk resilience assess severity recovery characteristics of damage from static dynamic perspectives independently. This work proposes a spatial grid-based integrated risk-resilience assessment framework for to consider both risk aspects at detailed level. The formulates an drainage-surface coupled model simulate inundation process. A classification method is proposed identify flood-affected each grid, with values considering socio-economic step-by-step dynamics. According case results discussion, classifies all grids into four types different levels, in which 7.02% are identified as worst type high low resilience. enables detailed-level targeted management

Language: Английский

Citations

0

Establishment and Application of a Specialized Physical Examination Indicator System for Urban Waterlogging Risk in China DOI Open Access
Junqi Li, Haohan Zhang, Xiaoran Zhang

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(6), P. 4998 - 4998

Published: March 11, 2023

With the rapid development of urbanization in China, urban waterlogging has become a significant problem constructing safety human environment. As an essential manifestation modernization governance system and capacity, city physical examination establishes multi-criteria evaluation for diagnosis, rectification, improvement. In order to accurately identify risk waterlogging, concept special was established, mechanism indicator definition were improved on basis “four-factor method” flooding disaster assessment. From perspective basin flood control background disaster-bearing conditions, “Major-Minor-Micro” drainage crucial locations personnel protection, emergency management twenty-four indicators five categories selected. The interaction between multiple factors is considered establish as characteristic with goal resilience. results study could provide theoretical technical support diagnosis problems formulation prevention strategies.

Language: Английский

Citations

8

STFS-urban: Spatio-temporal flood simulation model for urban areas DOI Creative Commons
Zongkui Guan, Yiwen Chen, Zhao Yu

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 349, P. 119289 - 119289

Published: Oct. 27, 2023

Amidst escalating urbanization and increasing extreme climatic events, strengthening flood resilience strategies in global cities has become imperative. This study introduces an innovative spatiotemporal urban simulation model that seamlessly integrates diverse refined multi-spatiotemporal scales, ranging from 7.5 to 60 min 100–2000 m, respectively. The comprises multi-scale radar rainfall inversion (MRI), fine-grained coupled (FGCFS), transformer-CNN prediction (TCFP) modules. Employing the Nanjing area as a case study, model's efficacy is subjected rigorous assessment. advantages derived integrated refinement coupling boundary conditions through FGCFS TCFP are accentuated. Impressively, results underscore robust performance of across most revealing correlation coefficient surpassing 0.8 root-mean-square error under 5.2 mm. achieves optimal simulated water depth changes at × 500 m resolution, with Nash efficiency exceeding 0.69 (0.94 YS observation point 0.89 SXM point), alongside percentage deviations below 12.89 (3.59 2.42 XJL point). TCFP's learning proficiency showcased convergence 0.002 after twenty iterations, particularly suitable for resolutions 4 m. Notably, both demonstrate efficient utilization resources, enabling streamlined simulations varying data resolutions. Consequently, our propels sophisticated framework harmonizing integration, coupling, dynamic allocation. Our work extends beyond practical solutions, offering glimpse into future modeling, reaffirming its pivotal role within realm environmental research management.

Language: Английский

Citations

8

Quantitative assessment of flooding risk based on predicted evacuation time: A case study in Joso city, Japan DOI

Zishuang Han,

Yasuhiro Mitani, Kohei Kawano

et al.

International Journal of Disaster Risk Reduction, Journal Year: 2023, Volume and Issue: 98, P. 104113 - 104113

Published: Nov. 1, 2023

Language: Английский

Citations

8

How does new industrialisation improve manufacturing industry chain resilience? DOI

Tian Hong-na,

Riran Hou

Technology Analysis and Strategic Management, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 17

Published: Nov. 28, 2024

As uncertainty in the manufacturing industry chain rises, improving its resilience becomes crucial for ensuring stable global economic operations. Industrialisation fuels modernisation, and China's new industrialisation is vital era journey. Firstly, this study uses grounded theory to identify driving factors of (MICR) based on (NI). Secondly, analyses complex causal relationship between NI MICR from a macro perspective through fsQCA. Thirdly, Decision-making Trial Evaluation Laboratory - Interpretative Structural Modeling Method Bayesian Network (DEMATEL-ISM-BN) explain effect mechanism micro perspective. Research findings show that perspective, driven by configuration six types factors, such as quality priority, open cycle people-oriented. From each factor drives deep surface, there path most likely cause high MICR. The research results explore at present stage, reveal improve provide practical implications enhancing changing environment.

Language: Английский

Citations

3

Risk Assessment of Flood Disaster in Cities Based on “Disaster-Pregnant, Disaster-Causing, Disaster-Forming and Disaster-Curing” DOI

Xinjian Guan,

Yuan Liu, Yu Meng

et al.

Water Resources Management, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 10, 2024

Language: Английский

Citations

3

A tri-system urban waterlogging risk assessment framework based on GIS- game theory combination weight: a case of Zhengzhou City DOI

Y P Li,

Zhi‐Hua Hu

Natural Hazards, Journal Year: 2024, Volume and Issue: unknown

Published: July 22, 2024

Language: Английский

Citations

2

Unraveling the factors behind self-reported trapped incidents in the extraordinary urban flood disaster: a case study of Zhengzhou City, China DOI
Hongbo Zhao, Yangyang Liu, Yue Li

et al.

Cities, Journal Year: 2024, Volume and Issue: 155, P. 105444 - 105444

Published: Oct. 9, 2024

Language: Английский

Citations

2

Block-level spatial integration of population density, social vulnerability, and heavy precipitation reveals intensified urban flooding risk DOI

Jiali Zhu,

Weiqi Zhou,

Wenjuan Yu

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 117, P. 105984 - 105984

Published: Nov. 12, 2024

Language: Английский

Citations

2

Flood risk assessment of coastal cities based on GCW_ISODATA and explainable artificial intelligence methods DOI

Yawen Zang,

Huimin Wang, Zhenzhen Liu

et al.

International Journal of Disaster Risk Reduction, Journal Year: 2024, Volume and Issue: unknown, P. 105025 - 105025

Published: Nov. 1, 2024

Language: Английский

Citations

2