A novel hybrid artificial intelligence approach for flood susceptibility assessment

K Chapi, VP Singh, A Shirzadi, H Shahabi… - … modelling & software, 2017 - Elsevier
… introduced for mapping flood susceptibility. A spatial database was generated for the Haraz
watershed, northern Iran, that included a flood inventory map and eleven flood conditioning …

A comparative assessment of flood susceptibility modeling using multi-criteria decision-making analysis and machine learning methods

K Khosravi, H Shahabi, BT Pham, J Adamowski… - Journal of …, 2019 - Elsevier
… The NBT model can therefore be explored for the construction of flood susceptibility maps.
Flood susceptibility maps generated from this study may be useful for land use planning of …

Flood susceptibility assessment using GIS-based support vector machine model with different kernel types

MS Tehrany, B Pradhan, S Mansor, N Ahmad - Catena, 2015 - Elsevier
… resultant flood susceptibility maps can be beneficial in flood … SVM model has not been
explored in flood mapping even … SVM model in flood susceptibility assessment. Amongst machine …

GIS based hybrid computational approaches for flash flood susceptibility assessment

BT Pham, M Avand, S Janizadeh, TV Phong… - Water, 2020 - mdpi.com
… The proposed methods presented in this study would help in the development of accurate
flash flood susceptible maps of watershed areas not only in Iran but also other parts of the …

Application of the GIS based multi-criteria decision analysis and analytical hierarchy process (AHP) in the flood susceptibility mapping (Tunisia)

S Hammami, L Zouhri, D Souissi, A Souei… - Arabian Journal of …, 2019 - Springer
… production prototype for the evaluation of flooding susceptibility for the city of Tunis. Eight
criterions were considered in order to identify and assess the spatial distribution of hazardous …

Flood susceptibility assessment using novel ensemble of hyperpipes and support vector regression algorithms

A Saha, SC Pal, A Arabameri, T Blaschke, S Panahi… - Water, 2021 - mdpi.com
… A high value of TWI indicates the land is well saturated and prone to flood susceptibility
and vice-versa [42]. The TWI map in this study area was prepared using Equation (2) and …

Multi-criteria approach to develop flood susceptibility maps in arid regions of Middle East

SH Mahmoud, TY Gan - Journal of Cleaner Production, 2018 - Elsevier
Flood susceptibility and risk assessment are very important … methodology for identifying
flood susceptibility zones using a … flood records and re-applied in the Riyadh city to assess the …

Flood susceptibility assessment in Bangladesh using machine learning and multi-criteria decision analysis

M Rahman, C Ningsheng, MM Islam, A Dewan… - Earth Systems and …, 2019 - Springer
flood susceptibility mapping and the best combination ( 11 C) was used for generating a new
Flood susceptibility mapping can be defined as a quantitative or qualitative assessment of …

Urban flood susceptibility assessment based on convolutional neural networks

G Zhao, B Pang, Z Xu, D Peng, D Zuo - Journal of Hydrology, 2020 - Elsevier
… for flood susceptibility assessment in an urban catchment. This approach can identify flood-prone
areas induced by pluvial flood … of CNNs for flood susceptibility mapping in urban areas …

A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with …

K Khosravi, E Nohani, E Maroufinia, HR Pourghasemi - Natural hazards, 2016 - Springer
Flood is one of the most prevalent natural disasters that frequently occur in the northern … of
flood occurrences. The main aim of the current study was to prepare flood susceptibility maps