☆ 3.9 Article

Flash flood and landslide susceptibility analysis for a mountainous roadway in Vietnam using spatial modeling

QUATERNARY SCIENCE ADVANCES (2023)

Related references

Note: Only part of the references are listed.

Article Geosciences, Multidisciplinary

Spatiotemporal variation of flash floods in the Hengduan Mountains region affected by rainfall properties and land use

Xiaoyun Sun et al.

Summary: This study analyzed the effects of changes in precipitation and land use on spatiotemporal variation of flash floods in the Hengduan Mountains region of China. It found that the increase in flash flood events was closely correlated with the increased frequency and magnitude of heavy rainfall as well as the expansion of artificial surfaces. The study also revealed significant periodic variation in the occurrence of flash floods on various scales and identified a displacement of the center of gravity of flash flooding in the region.

NATURAL HAZARDS (2022)

Add to Collection

Article Green & Sustainable Science & Technology

A Landslide Susceptibility Evaluation of Highway Disasters Based on the Frequency Ratio Coupling Model

Huadan Fan et al.

Summary: Evaluating the susceptibility to highway landslides is crucial for keeping highways open. In this study, the city of Laibin in China was chosen as the study area, and nine evaluation factors were selected. Multiple models, including FR, AHP, LR, BPNN, and SVM, were used to evaluate the susceptibility. The results showed that the FR-LR model had the highest accuracy.

SUSTAINABILITY (2022)

Add to Collection

Article Environmental Studies

GIS-Based Comparative Study of the Bayesian Network, Decision Table, Radial Basis Function Network and Stochastic Gradient Descent for the Spatial Prediction of Landslide Susceptibility

Junpeng Huang et al.

Summary: Four advanced machine learning models were proposed to delineate landslide susceptibility zones along the proposed railway. The results showed that the SGD model performed best among the four models.

LAND (2022)

Add to Collection

Article Environmental Sciences

Performance analysis of advanced decision tree-based ensemble learning algorithms for landslide susceptibility mapping

Emrehan Kutlug Sahin et al.

Summary: In this study, decision forest-based ensemble learning algorithms CCF and RotFor were tested for landslide susceptibility mapping, along with other popular ensemble learning algorithms like RF, AdaBoost, and bagging. Performance was evaluated using OA, success rate curves, AUC analysis, McNemar's test, and ROC curves, showing that CCF outperformed RotFor by about 4% with no significant difference between CCF and other methods.

GEOCARTO INTERNATIONAL (2021)

Add to Collection

Article Geography

Hydrography and geomorphology of Antananarivo High City (Madagascar)

Frodella William et al.

Summary: The text describes the location of the city of Antananarivo in Madagascar and its susceptibility to frequent heavy cyclonic rains leading to geo-hydrological hazards. It discusses the use of field data and remote sensing interpretation to produce detailed maps for understanding and managing the risks in the area.

JOURNAL OF MAPS (2021)

Add to Collection

Article Environmental Sciences

Natural hazard's effect and farmers' perception: Perspectives from flash floods and landslides in remotely mountainous regions of Vietnam

Nga Thanh Thi Pham et al.

Summary: Understanding indigenous people's perceptions of natural disasters, particularly flash floods and landslides, is crucial for further research on the impacts of these events. The study conducted in Vietnam revealed that the most observed impacts of natural disasters were a decline in productivity, decreased income, and more challenging working conditions. Furthermore, nearly 45% of farmers perceived an increasing trend in the frequency and impacts of flash floods and landslides over the past 15 years, indicating a need for improved awareness and adaptive strategies.

SCIENCE OF THE TOTAL ENVIRONMENT (2021)

Add to Collection

Article Environmental Sciences

Landslide mapping and analysis along the China-Pakistan Karakoram Highway based on SBAS-InSAR detection in 2017

Su Xiao-jun et al.

Summary: The study used SBAS-InSAR to process Sentinel 1-A images along KKH in 2017, identifying 762 landslides and 40 active glacier movements. Through image interpretation and statistics, landslide classification, characteristics, distribution, and influencing factors were successfully investigated, providing scientific support for prevention and control of geological disasters in the Karakoram region.

JOURNAL OF MOUNTAIN SCIENCE (2021)

Add to Collection

Article Engineering, Geological

On the applicability of satellite SAR interferometry to landslide hazards detection in hilly areas: a case study of Shuicheng, Guizhou in Southwest China

Yian Wang et al.

Summary: This study proposed an approach of landslide detection and mapping with a priori assessment of InSAR applicability, which effectively guided the selection of SAR data, predicted observable areas, analyzed the reliability of landslide detection, and revealed reasons for detection failure.

LANDSLIDES (2021)

Add to Collection

Article Multidisciplinary Sciences

Evaluation of multi-hazard map produced using MaxEnt machine learning technique

Narges Javidan et al.

Summary: This study focused on creating a multi-hazard map in a watershed area in the Golestan Province, Iran, integrating susceptibility maps for flood, landslides, and gully erosion. The research demonstrated that 60% of the area is subjected to hazards, with landslides covering up to 21.2% of the entire territory. This type of multi-hazard map may serve as a useful tool for local administrators to identify areas susceptible to hazards on a large scale.

SCIENTIFIC REPORTS (2021)

Add to Collection

Article Geosciences, Multidisciplinary

Flash flood susceptibility prediction mapping for a road network using hybrid machine learning models

Hang Ha et al.

Summary: This study developed advanced hybrid machine learning algorithms for flash flood susceptibility modeling and mapping using data from the National Highway 6 in Hoa Binh province, Vietnam. The DCREPT model showed the best performance among the training models and highest prediction accuracy among the testing models, indicating potential for generalization to other transportation routes in mountainous areas.

NATURAL HAZARDS (2021)

Add to Collection

Article Engineering, Civil

RESEARCH THE POSSIBILITY OF USING SEA SAND IN ROADBED CONSTRUCTION IN VIETNAM

Viet-Phuong Nguyen et al.

Summary: The depletion of river sand resources has highlighted the urgent need to find alternative sources, with sea sand showing potential to replace river sand in construction. Using sea sand in roadbed construction can improve safety factors and save costs, while also having positive environmental impacts.

INTERNATIONAL JOURNAL OF GEOMATE (2021)

Add to Collection

Article Environmental Sciences

Flash flood risk assessment using geospatial technology in Shewa Robit town, Ethiopia

Awlachew Dejen et al.

Summary: The study utilized various parameters for flash flood risk analysis, generated flood vulnerability map using Weighted Sum Overlay (WSO) analyses of ARC GIS software, validated the risk map with historical flood data, and found that 3.08%, 14.62% and 20.66% of Shewa Robit town are at very high, high and moderate flash flood risk.

MODELING EARTH SYSTEMS AND ENVIRONMENT (2021)

Add to Collection

Article Geography, Physical

Applications in geomorphology

Edward Keller et al.

GEOMORPHOLOGY (2020)

Add to Collection

Article Environmental Sciences

A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area

Dieu Tien Bui et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2020)

Add to Collection

Review Environmental Sciences

The Use of LiDAR-Derived DEM in Flood Applications: A Review

Nur Atirah Muhadi et al.

REMOTE SENSING (2020)

Add to Collection

Article Environmental Sciences

Flash Flood Susceptibility Modeling and Magnitude Index Using Machine Learning and Geohydrological Models: A Modified Hybrid Approach

Samy Elmahdy et al.

REMOTE SENSING (2020)

Add to Collection

Article Geosciences, Multidisciplinary

Coupling RBF neural network with ensemble learning techniques for landslide susceptibility mapping

Binh Thai Pham et al.

CATENA (2020)

Add to Collection

Article Geosciences, Multidisciplinary

GIS-based evaluation of landslide susceptibility using hybrid computational intelligence models

Wei Chen et al.

CATENA (2020)

Add to Collection

Article Environmental Sciences

Slope stability evaluation and monitoring of a landslide: a case study from NE Turkey

Ayberk Kaya et al.

JOURNAL OF MOUNTAIN SCIENCE (2020)

Add to Collection

Article Geosciences, Multidisciplinary

Exploring community resilience and early warning solution for flash floods, debris flow and landslides in conflict prone villages of Badakhshan, Afghanistan

Ashutosh Mohanty et al.

INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION (2019)

Add to Collection

Article Engineering, Civil

Analysis of Transportation Disruptions from Recent Flooding and Volcanic Disasters in Hawai'i

Karl Kim et al.

TRANSPORTATION RESEARCH RECORD (2019)

Add to Collection

Article Geosciences, Multidisciplinary

Identifying the essential flood conditioning factors for flood prone area mapping using machine learning techniques

Mahyat Shafapour Tehrany et al.

CATENA (2019)

Add to Collection

Article Environmental Sciences

Farmers' decisions to adapt to flash floods and landslides in the Northern Mountainous Regions of Vietnam

Nga Thanh Thi Pham et al.

JOURNAL OF ENVIRONMENTAL MANAGEMENT (2019)

Add to Collection

Article Environmental Sciences

Landslides and flash floods induced by the storm of 22nd November 2011 in northeastern Sicily

Francesco Fiorillo et al.

ENVIRONMENTAL EARTH SCIENCES (2018)

Add to Collection

Article Environmental Studies

Flood risk assessment of Srinagar city in Jammu and Kashmir, India

Akhtar Alam et al.

INTERNATIONAL JOURNAL OF DISASTER RESILIENCE IN THE BUILT ENVIRONMENT (2018)

Add to Collection

Article Geosciences, Multidisciplinary

Global fatal landslide occurrence from 2004 to 2016

Melanie J. Froude et al.

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2018)

Add to Collection

Article Engineering, Civil

Copula-based IDF curves and empirical rainfall thresholds for flash floods and rainfall-induced landslides

Nejc Bezak et al.

JOURNAL OF HYDROLOGY (2016)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling

J. N. Goetz et al.

COMPUTERS & GEOSCIENCES (2015)

Add to Collection

Review Engineering, Industrial

Variable importance analysis: A comprehensive review

Pengfei Wei et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2015)

Add to Collection

Review Genetics & Heredity

Risk estimation and risk prediction using machine-learning methods

Jochen Kruppa et al.

HUMAN GENETICS (2012)

Add to Collection

Article Environmental Sciences

Flash flood risk estimation along the St. Katherine road, southern Sinai, Egypt using GIS based morphometry and satellite imagery

Ahmed M. Youssef et al.

ENVIRONMENTAL EARTH SCIENCES (2011)

Add to Collection

Article Geography, Physical

Morphometric analysis of debris flows and their source areas using GIS

Chien-Yuan Chen et al.

GEOMORPHOLOGY (2011)

Add to Collection

Article Geosciences, Multidisciplinary

Human activity and damaging landslides and floods on Madeira Island

D. Baioni

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2011)

Add to Collection

Article Social Sciences, Interdisciplinary

Solving multicollinearity in the process of fitting regression model using the nested estimate procedure

Feng-Jenq Lin

QUALITY & QUANTITY (2008)

Add to Collection

Article Public, Environmental & Occupational Health

Mental models of flash floods and landslides

Klaus Wagner

RISK ANALYSIS (2007)

Add to Collection

Article Automation & Control Systems

Recurrent radial basis function network for time-series prediction

R Zemouri et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2003)

Add to Collection

Article Computer Science, Artificial Intelligence

MultiBoosting: A technique for combining boosting and wagging

GI Webb

MACHINE LEARNING (2000)

Add to Collection

Article Engineering, Electrical & Electronic

Radial basis function (RBF) network adaptive power system stabilizer

R Segal et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2000)

Add to Collection

© Peeref 2019-2024. All rights reserved.