Evaluating the effects of climate and land use change on the future flood susceptibility in the central region of Vietnam by integrating land change modeler, machine learning methods-Reference-Cited by-同舟云学术

Evaluating the effects of climate and land use change on the future flood susceptibility in the central region of Vietnam by integrating land change modeler, machine learning methods

Published:2022-05-08 Issue:26 Volume:37 Page:12810-12845
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Nguyen Huu Duy¹,Dang Dinh Kha²,Nguyen Quoc-Huy³,Bui Quang-Thanh¹,Petrisor Alexandru-Ionut⁴

Affiliation:

1. Faculty of Geography, VNU University of Science, Vietnam National University, Thanh Xuan district, Hanoi, Vietnam

2. Faculty of Hydrology, Meteorology and Oceanography, VNU University of Science, Vietnam National University, Hanoi, Vietnam

3. Centre for Applied Research in Remote Sensing and GIS, Faculty of Geography, VNU University of Science, Vietnam National University, Hanoi, Vietnam

4. Doctoral School of Urban Planning, Ion Mincu University of Architecture and Urbanism, Bucharest, Romania

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2071477

Reference166 articles.

1. Flash-flood susceptibility mapping based on XGBoost, random forest and boosted regression trees

2. Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA)

3. Flood hazards susceptibility mapping using statistical, fuzzy logic, and MCDM methods

4. Evaluation of flood susceptibility mapping using logistic regression and GIS conditioning factors

5. Influence of Land Use on Avian Diversity in North African Urban Environments

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimized green infrastructure planning at the city scale based on an interpretable machine learning model and multi-objective optimization algorithm: A case study of central Beijing, China;Landscape and Urban Planning;2024-12

2. Monitoring the effects of climate, land cover and land use changes on multi-hazards in the Gianh River watershed, Vietnam;Environmental Research Letters;2024-09-03

3. Assessing future changes in flood susceptibility under projections from the sixth coupled model intercomparison project: case study of Algiers City (Algeria);Natural Hazards;2024-09-02

4. Using algorithmic game theory to improve supervised machine learning: A novel applicability approach in flood susceptibility mapping;Environmental Science and Pollution Research;2024-08-19

5. Flood assessment using machine learning and its implications for coastal spatial planning in Phu Yen Province, Vietnam;Journal of Water and Climate Change;2024-07-22