Temporal Variations in Karst Spring Flow and Its Response to Climate Change in the Taihang Mountains, China

AbstractThe variation in flow for the Xiaonanhai spring and its main controlling factors were statistically examined using Mann-Kendall trend analysis, rescaled range (R/S) analysis, Morlet wavelet analysis, and cross-wavelet analysis. The annual spring flow has exhibited a continuous and significan...

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Bibliographic Details
Published in:Journal of hydrologic engineering 2021-10, Vol.26 (10)
Main Authors: Lin, Yun, Wang, Xiao-Lin, Qu, Peng-Chong, Wu, Ya-Zun, Wang, Shi-Ping
Format: Article
Language:English
Subjects:
Analysis
Back propagation networks
Case Studies
Case Study
Civil engineering
Climate change
Climate effects
Coherence analysis
Flow
Future climates
Hydrology
Karst
Karst springs
Morlet wavelet
Mountains
Neural networks
Precipitation
Regression models
Spring
Spring (season)
Statistical analysis
Temporal variations
Trend analysis
Wavelet analysis
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Summary:AbstractThe variation in flow for the Xiaonanhai spring and its main controlling factors were statistically examined using Mann-Kendall trend analysis, rescaled range (R/S) analysis, Morlet wavelet analysis, and cross-wavelet analysis. The annual spring flow has exhibited a continuous and significant downward trend since 1997, which varies temporally, with main periods of 14–17 years and 25–28 years. There is a positive correlation between the spring flow and precipitation (p
ISSN:1084-0699
1943-5584
DOI:10.1061/(ASCE)HE.1943-5584.0002120