**Peer Review Journal ** DOI on demand of Author (Charges Apply) ** Fast Review and Publicaton Process ** Free E-Certificate to Each Author

Current Issues
     2026:7/3

International Journal of Multidisciplinary Research and Growth Evaluation

ISSN: (Print) | 2582-7138 (Online) | Impact Factor: 9.54 | Open Access

Flow prediction in Kabul River: An artificial intelligence based technique

Author(s):

Published:

Volume: 5 | Issue: 2 | Pages: 854-857

Subject: Engineering

Country: Pakistan

DOI: https://doi.org/10.54660/.IJMRGE.2024.5.2.854-857

License: CC BY 4.0

Full Text (PDF)

Open Access - Free to Download

Download Full Article (PDF)

Abstract

This study employs random forest regressor to forecast future flow in Kabul River. Utilizing CMIP6 projected climate data for the SSP585 scenario from the IPSL-CM6A-LR climate model. The random forest regressor demonstrate efficacy in predicting flow, achieving an R2 of 0.77. The study highlights the importance of modern artificial intelligence-based techniques for precise flow and flood predictions and suggests an increase in flash flood events in Kabul River in response to a warming climate.

How to Cite This Article

Salah Ud Din (2024). Flow prediction in Kabul River: An artificial intelligence based technique . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 5(2), 854-857. DOI: https://doi.org/10.54660/.IJMRGE.2024.5.2.854-857

Publication Information

Journal: International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE)

Publisher: Anfo Publication House

ISSN: (Print), 2582-7138 (Online)

Frequency: Bimonthly

Language: English

Open Access: Yes - This article is distributed under the terms of the Creative Commons Attribution 4.0 International License

Share This Article: