Impact of climate change on spatiotemporal patterns of snow hydrology: Conceptual frameworks, machine learning versus nested model-Reference-Cited by-同舟云学术

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Impact of climate change on spatiotemporal patterns of snow hydrology: Conceptual frameworks, machine learning versus nested model

Published:2024-12 Issue: Volume:136 Page:103691
ISSN:1474-7065
Container-title:Physics and Chemistry of the Earth, Parts A/B/C
language:en
Short-container-title:Physics and Chemistry of the Earth, Parts A/B/C

Author:

Besharatifar Mehran^ORCID,Nasseri Mohsen^ORCID

Publisher

Elsevier BV

Reference130 articles.

1. Robust strategies for climate change adaptation in the agricultural sector under deep climate uncertainty;Abbasi;Stoch. Environ. Res. Risk Assess.,2020

2. Using the particle swarm optimization (PSO) algorithm for baseflow separation and determining the trends for the yesilirmak river (north Turkey);Acar;Russ. Meteorol. Hydrol.,2024

3. The evaluation of climate change impact on hydrologic processes of a mountain river basin;Adhikari;Theor. Appl. Climatol.,2022

4. Comparison of different methodologies for rainfall–runoff modeling: machine learning vs conceptual approach;Adnan;Nat. Hazards,2021

5. An operational sociohydrological model to understand the feedbacks between community sensitivity and environmental flows for an endorheic lake basin, lake Bakhtegan, Iran;Amirkhani;J. Hydrol.,2022

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