A new avenue to improve the performance of integrated modeling for flash flood susceptibility assessment: Applying cluster algorithms
Authors:
- Jun LiuJLJun Liu
- Junnan XiongJXJunnan Xiong
- Yangbo ChenYCYangbo Chen
- Huaizhang SunHSHuaizhang Sun
- Xueqiang ZhaoXZXueqiang Zhao
- Fengmiao TuFTFengmiao Tu
- Yu GuYGYu Gu
Open Access
- 10 December 2022
- journal article
- research article
- Published by Elsevier in Ecological Indicators
- Vol. 146
Abstract
No abstract availableKeywords
Funding Information
- National Key Research and Development Program of China (2020YFD1100701)
- Basic and Applied Basic Research Foundation of Guangdong Province (SHZH-IWHR-57)
This publication has 63 references indexed in Scilit:
- Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province, IranGeocarto International, 2015
- Flood susceptibility assessment using GIS-based support vector machine model with different kernel typesCATENA, 2015
- Flash flood warnings using the ensemble precipitation forecasting technique: A case study on forecasting floods in Taiwan caused by typhoonsJournal of Hydrology, 2015
- Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GISJournal of Hydrology, 2014
- Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GISJournal of Hydrology, 2013
- Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regressionLandslides, 2013
- An artificial neural network model for flood simulation using GIS: Johor River Basin, MalaysiaEnvironmental Earth Sciences, 2011
- A review of advances in flash flood forecastingHydrological Processes, 2011
- Global warming and hurricanes: the potential impact of hurricane intensification and sea level rise on coastal floodingClimatic Change, 2010
- Major flood disasters in Europe: 1950–2005Natural Hazards, 2006