Modeling the Flood Hazard Potential in the Aji Chai basin using Data Mining Algorithms

Due to the large area and receiving adequate rainfall during the cold and spring seasons, the Aji Chai River and its tributaries become flooded with the beginning of the spring season.In the current study, an attempt was made to prepare a flood hazard potential map in the Aji Chai basin using data mining algorithms.For this purpose, 18 effective parameters in flood occurrence were used.The investigated parameters were Elevation, Slope, Aspect, Topographic wetness index, Sediment transport index, Stream power index, earth curvature, Rainfall, Normalized Difference Vegetation Index, land use, Distance to dam, Distance to bridge, Distance to the river, River density, hydrological soil groups, Drainage texture, Geomorphology and lithology.The information layers of all parameters were prepared in raster format in the ArcGIS software.

Authors

Institutions

Publication Details

Journal
Akhbār.
Published
2024-12-01
DOI
https://doi.org/10.61186/jeer.14.4.19
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling the Flood Hazard Potential in the Aji Chai basin using Data Mining Algorithms

M Moghaddam, Tohid Rahimpour
Akhbār.
Flood Risk Assessment and Management
article

Modeling the Flood Hazard Potential in the Aji Chai basin using Data Mining Algorithms

M Moghaddam, Tohid Rahimpour
article en

Abstract

Due to the large area and receiving adequate rainfall during the cold and spring seasons, the Aji Chai River and its tributaries become flooded with the beginning of the spring season.In the current study, an attempt was made to prepare a flood hazard potential map in the Aji Chai basin using data mining algorithms.For this purpose, 18 effective parameters in flood occurrence were used.The investigated parameters were Elevation, Slope, Aspect, Topographic wetness index, Sediment transport index, Stream power index, earth curvature, Rainfall, Normalized Difference Vegetation Index, land use, Distance to dam, Distance to bridge, Distance to the river, River density, hydrological soil groups, Drainage texture, Geomorphology and lithology.The information layers of all parameters were prepared in raster format in the ArcGIS software.

Akhbār.Vol. 14(4)
University of Tabriz (IR)
Climate action
Openalex Percentile: Top 76%
Flood Risk Assessment and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Modeling the Flood Hazard Potential in the Aji Chai basin using Data Mining Algorithms — M Moghaddam, Tohid Rahimpour · Akhbār. (2024) | TGRS Research Map | TGRS