Challenges of rainfall erosivity prediction: A Novel GIS-Based Optimization algorithm to reduce uncertainty in large country modeling

Kabolizadeh, Mostafa; Rangzan, Kazem; Mohammadi, Shahin; Rabiei-Dastjerdi, Hamidreza

doi:10.1007/s12145-023-01178-2

Earth Sci Inform

2023

DOI: 10.1007/s12145-023-01178-2

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Challenges of rainfall erosivity prediction: A Novel GIS-Based Optimization algorithm to reduce uncertainty in large country modeling

Mostafa Kabolizadeh,

Kazem Rangzan,

Shahin Mohammadi

et al.

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Assessment of soil erosion and sediment delivery ratio in the Arghandab Catchment, Kandahar Province, Afghanistan by using GIS-based RUSLE method

Ansari,

Tayfur,

Mohammadi

2024

Geomatics, Natural Hazards and Risk

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Assessment of soil erosion and sediment delivery ratio in the Arghandab Catchment, Kandahar Province, Afghanistan by using GIS-based RUSLE method

Ansari,

Tayfur,

Mohammadi

2024

Geomatics, Natural Hazards and Risk

View full text Add to dashboard Cite

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Challenges of rainfall erosivity prediction: A Novel GIS-Based Optimization algorithm to reduce uncertainty in large country modeling

Cited by 1 publication

References 73 publications

Assessment of soil erosion and sediment delivery ratio in the Arghandab Catchment, Kandahar Province, Afghanistan by using GIS-based RUSLE method

Assessment of soil erosion and sediment delivery ratio in the Arghandab Catchment, Kandahar Province, Afghanistan by using GIS-based RUSLE method

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