Investigation into Multi-Temporal Scale Complexity of Streamflows and Water Levels in the Poyang Lake Basin, China

摘要: The streamflow and water level complexity of the Poyang Lake basin has been investigated over multiple time-scales using daily observations spanning from 1954 through 2013. composite multiscale sample entropy was applied to measure Mann-Kendall algorithm detect temporal changes in complexity. results show that increases as time-scale increases. when timescale a seasonal scale, also monthly scale. outflows Lake, which is impacted mainly by inflow processes, lake regulation, processes Yangtze River, more complex than inflows. most time-scales, between scales, dominated increasing trend. This indicates enhanced randomness, disorderliness, irregularity streamflows levels. investigation can help provide better understanding hydrological features large freshwater lakes. Ongoing research will be made analyze understand mechanisms within context climate change anthropogenic activities.