References
References
[1] IPCC, 2021. Climate Change 2021: The Physical Science Basis.
[2] Seneviratne et al., 2012. Changes in climate extremes and their impacts.
[3] Westra et al., 2013. Global increasing trends in annual maximum daily precipitation.
[4] Mann, H.B., 1945. Nonparametric tests against trend.
[5] Kendall, M.G., 1975. Rank Correlation Methods.
[6] Yue et al., 2002. Power of the Mann–Kendall and Spearman's rho tests.
[7] Sen, P.K., 1968. Estimates of the regression coefficient.
[8] Hurst, H.E., 1951. Long-term storage capacity of reservoirs.
[9] Alexander et al., 2006. Global observed changes in daily climate extremes.
[10] Zhang et al., 2011. Indices for monitoring changes in extremes.
[11] Zhai et al., 2005. Trends in total precipitation and frequency of daily precipitation extremes over China.
[12] Zhai et al., 1999. Changes of climate extremes in China.
[13] Su et al., 2006. Recent trends in observed temperature and precipitation extremes.
[14] Wang et al., 2020. Innovative trend analysis of rainfall in Yangtze River Delta. Water.
[15] Chen et al., 2015. Spatial and temporal trends of extreme precipitation over Zhejiang.
[16] Madakumbura, G.D., et al. (2021). Anthropogenic influence on extreme precipitation over global land areas seen in records of precipitation intensity. Nature Communications, 12, 3944.
[17] Kotz, M., et al. (2022). The effect of rainfall changes on economic production. Nature, 601, 223–227.
[18] Zhou, B., et al. (2023). Projected changes in the East Asian summer monsoon and associated precipitation under the 1.5°C and 2°C warming targets. International Journal of Climatology, 43(2), 987-1002.
[19] Li, X., et al. (2022). Spatiotemporal variability of extreme precipitation in Zhejiang Province, China, and its teleconnection with SST. Theoretical and Applied Climatology, 148, 123–138.
[20] Zhang, Y., et al. (2024). Urbanization effects on precipitation extremes in the Yangtze River Delta: A multi-scale analysis. Urban Climate, 53, 101822.
[21] Wang, F., et al. (2022). Long-term persistence of hydrologic series in the Yellow River Basin using an improved Hurst exponent. Journal of Hydrology, 610, 127956.
[22] Wu, Z., et al. (2023). Multi-scale entropy analysis of rainfall complexity in changing environments. Water Resources Research, 59(4), e2022WR033456.
[23] Zhao, T., et al. (2021). Vulnerability of inter-basin water transfer systems to synchronous drought: A case study of the South-to-North Water Diversion Project. Journal of Environmental Management, 293, 112847.
[24] Chen, H., et al. (2022). Optimization of water diversion scheduling based on uncertainty analysis. Water, 14(3), 452.
[25] Liu, J., et al. (2023). Climate-adaptive scheduling for large-scale water infrastructure: Framework and application. Engineering, 25, 112-125.