Research on a Multi-Dimensional Indicator Assessment Model for Evaluating Landslide Risk near Large Alpine Reservoirs DOI Creative Commons

Hanyin Hu,

Ke Hu, Xinyao Zhang

и другие.

Applied Sciences, Год журнала: 2024, Номер 14(12), С. 5201 - 5201

Опубликована: Июнь 14, 2024

Geological disasters in large alpine reservoirs primarily take the form of landslide occurrences and are predominantly induced by slope instability. Presently, risk monitoring assessment strategies tend to prioritize sudden alerts overlooking progressive trajectories from onset creeping deformations within its critical state preceding landslides. Hence, analyzing safety risks over time demonstrates a significant degree hysteresis, highlighting necessity for comprehensive approach that encompasses both gradual precursors events. This study analyzes factors affecting stability establishes evaluation indicator system includes terrain morphology, meteorological conditions, ecological environment, soil human activity, external manifestation. It proposes quantitative model based on fuzzy broad learning system, aiming accurately assess slopes with different levels. The overall accuracy rate reaches 92.08%. multi-dimensional provides long-term conditions scientific guidance management disaster prevention mitigation long scale risky reservoir areas.

Язык: Английский

Enhancing Urban Resilience: Opportunities and Challenges in Adapting to Natural Disasters in Indonesian Cities DOI Open Access
Mirza Fuady,

Buraida Buraida,

M. Andrian Kevin

и другие.

Sustainability, Год журнала: 2025, Номер 17(4), С. 1632 - 1632

Опубликована: Фев. 16, 2025

This study identifies the key challenges and opportunities for enhancing urban resilience in Indonesia, focusing on implementation of green city concepts as a strategic solution to improve sustainability. Case studies Banda Aceh, Jakarta, Surabaya demonstrate potential limitations this approach addressing critical issues such flooding, coastal erosion, heat island effects. A systematic literature review (SLR) policy analysis related were employed, along with an evaluation initiatives implemented several major cities across Indonesia. Findings reveal that inadequate infrastructure, rapid urbanization, limited budgets constitute obstacles adopting sustainable solutions. However, significant exist through collaborative efforts between government, society, private sector. These include application environmentally friendly technologies, development robust early warning systems, adaptive planning strategies. concludes strengthening necessitates cross-sector collaboration, investments resilient increased public awareness involvement mitigating disaster risks climate change.

Язык: Английский

Процитировано

1

Precipitation-induced landslide risk escalation in China’s urbanization with high-resolution soil moisture and multi-source precipitation product DOI
Kunlong He, Xiaohong Chen, Dongmei Zhao

и другие.

Journal of Hydrology, Год журнала: 2024, Номер 638, С. 131536 - 131536

Опубликована: Июнь 16, 2024

Язык: Английский

Процитировано

7

Vulnerability assessment of disaster chains: A case study of rainstorm–landslide disaster chains in the Greater Bay Area DOI
Wei Wang, Yue Song, Li Huang

и другие.

International Journal of Disaster Risk Reduction, Год журнала: 2025, Номер unknown, С. 105272 - 105272

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1

Integrated Risk Assessment of Mountainous Long-Distance Oil and Gas Pipelines Based on Multisource Spatial Data DOI Creative Commons
Benji Wang, Zheng Li, Baikang Zhu

и другие.

ACS Omega, Год журнала: 2024, Номер 9(28), С. 30492 - 30507

Опубликована: Июль 2, 2024

Pipeline risk assessment is crucial for pipeline safety management and operation. The aim of this study to develop a comprehensive model that accurately evaluates risks ensures the safe reliable operation system. based on multisource spatial data primarily applicable long-distance oil gas pipelines traverse complex geological conditions in mountainous areas. research conducted using example Jinliwen natural Zhejiang Province, China. By analyzing area potential may encounter, indicator system was developed slope units divide sections. levels are classified K-means clustering-entropy weighted-random forest algorithm. evaluated accuracy (Acc), precision (Pre), recall (R), F1-score, ROC curve. results show has an 0.917, 0.92, 0.916, F1-score 0.914, AUC (Area Under Curve) 0.93, indicating its strong predictive capability. demonstrate consistency when compared with actual incident events. This indicates constructed effectively reflects influencing factors risk, providing basis disaster prevention mitigation efforts similar regions.

Язык: Английский

Процитировано

3

Evaluation of InSAR Applicability Using a New Multi-Index and Optical Imagery: A Case Study in the Guangdong-Hong Kong-Macao Greater Bay Area, China DOI
Zhijie Zhang, Songbo Wu, Chaoying Zhao

и другие.

Remote Sensing Applications Society and Environment, Год журнала: 2025, Номер unknown, С. 101474 - 101474

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Changes in habitat quality and their driving forces in the coastal zone of Hainan Island: Insights from 20 years of research and future projections DOI

Jinlin Lai,

Qi Shi, Jiadong Chen

и другие.

Deleted Journal, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Debris flows dynamic risk assessment and interpretable Shapley method-based driving mechanisms exploring – A case study of the upper reach of the Min River DOI Creative Commons
Yufeng He, Mingtao Ding, Yu Duan

и другие.

Ecological Indicators, Год журнала: 2025, Номер 173, С. 113400 - 113400

Опубликована: Март 31, 2025

Язык: Английский

Процитировано

0

Geospatial SHAP interpretability for urban road collapse susceptibility assessment: a case study in Hangzhou, China DOI Creative Commons

Bofan Yu,

Hui Li, Huaixue Xing

и другие.

Geomatics Natural Hazards and Risk, Год журнала: 2025, Номер 16(1)

Опубликована: Апрель 15, 2025

Язык: Английский

Процитировано

0

Ecological risk assessment and management under the influence of multi-hazards in the alpine canyon region DOI

R. Gu,

Yu Huan, Qing Xiang

и другие.

Environmental Impact Assessment Review, Год журнала: 2025, Номер 115, С. 107985 - 107985

Опубликована: Май 15, 2025

Язык: Английский

Процитировано

0

A framework for using event evolutionary graphs to rapidly assess the vulnerability of urban flood cascade compound disaster event networks DOI
Yilin Chen, Lidan Zhang, Xiaohong Chen

и другие.

Journal of Hydrology, Год журнала: 2024, Номер 642, С. 131783 - 131783

Опубликована: Авг. 9, 2024

Язык: Английский

Процитировано

2