A Novel Sensitivity Analysis Framework for Quantifying Permafrost Impacts on Runoff Variability in the Yangtze River Source Region DOI Open Access

Jiaxuan Chang,

Xuefeng Sang, Yun Zhang

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(4), P. 1570 - 1570

Published: Feb. 14, 2025

In the context of global climate change, understanding cryosphere degradation and its impact on water resources in alpine regions is crucial for sustainable development. This study investigates relationship between permafrost runoff variations Source Region Yangtze River (SRYR), a critical tower supply Asia. We propose novel method assessing sensitivity, which establishes correlation changes hydrological responses, contributing to resource management. Our research quantifies key uncertainties change attribution, providing essential data decision making. Results show that watershed characteristics account up 20% variation, with (−0.02 sensitivity) demonstrating greater influence than NDVI variations. The findings offer insights development adaptation strategies, particularly maintaining ecosystem services ensuring long-term security under changing conditions. offers scientific basis climate-resilient management policies high-altitude regions.

Language: Английский

A Novel Sensitivity Analysis Framework for Quantifying Permafrost Impacts on Runoff Variability in the Yangtze River Source Region DOI Open Access

Jiaxuan Chang,

Xuefeng Sang, Yun Zhang

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(4), P. 1570 - 1570

Published: Feb. 14, 2025

In the context of global climate change, understanding cryosphere degradation and its impact on water resources in alpine regions is crucial for sustainable development. This study investigates relationship between permafrost runoff variations Source Region Yangtze River (SRYR), a critical tower supply Asia. We propose novel method assessing sensitivity, which establishes correlation changes hydrological responses, contributing to resource management. Our research quantifies key uncertainties change attribution, providing essential data decision making. Results show that watershed characteristics account up 20% variation, with (−0.02 sensitivity) demonstrating greater influence than NDVI variations. The findings offer insights development adaptation strategies, particularly maintaining ecosystem services ensuring long-term security under changing conditions. offers scientific basis climate-resilient management policies high-altitude regions.

Language: Английский

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