Assessment of flow regime alterations over a spectrum of temporal scales using wavelet‐based approaches

摘要: The full range of natural flow regime is essential for sustaining the riverine ecosystems and biodiversity, yet there are still limited tools available assessment alterations over a spectrum temporal scales. Wavelet analysis has proven useful detecting hydrologic at multiple scales via wavelet power (WPS) series. existing approach based on global WPS (GWPS) ratio tends to be dominated by rare high-power flows so that more frequent low-power often underrepresented. We devise new individual deviations between (DWPS) root-mean-squared yield DWPS (GDWPS). test these two approaches three reaches Feitsui Reservoir system (Taiwan) subjected different classes anthropogenic interventions. GDWPS reveal unique features not detected with GWPS ratios. also segregate effects subflow components overall using GDWPS. results show daily hydropeaking waves below reservoir only intensified oscillations scale but most significantly eliminated subweekly variability. Alterations were severe diversion weir, where residual resulted in maximum impact while postdiversion null led large submonthly smallest impacts confluence longer than 2 days substantially mitigated joining unregulated tributary flows, whereas daily-scale alteration was retained because inherited from releases. proposed unravels first time details intermediate overridden low-frequency when long-term averaged used.