哈尔滨主城区无资料子流域模拟径流复杂性测度

No-data Sub-basin Simulated Runoff Complexity Measurement in Urban Areas in Harbin

针对哈尔滨主城区无资料子流域模拟径流的随机性较大,且易受人为因素的干扰等问题,将本征时间尺度分解(Intrinsic Time-scale Decomposition,ITD)算法引入水文系统复杂性研究中,用于改进传统复杂性测度方法。将ITD与多尺度模糊熵(MFE)相结合测度黑龙江省哈尔滨市主城区8个无资料子流域模拟径流复杂性。结果表明,哈尔滨主城区无资料子流域的模拟径流表现出了较强的非线性特征,其中北部地区运粮河流域的径流熵值最大,南部地区肇兰新河流域的径流熵值最小,模拟径流的复杂性熵值南北方向整体呈现南高北低走向。通过对比加入白噪声和有色噪声后,小波熵(Permutation Entropy,PE)、排列熵(Wavelet Entropy,WE)和ITD-MFE的评价结果,表明ITD-MFE算法具有更好的稳健性。研究成果揭示了哈尔滨市主城区无资料自流域模拟径流复杂性差异及其变化规律,对于今后指导哈尔滨市主城区内科学合理地利用径流资源具有一定的指导意义。

In order to solve the problems of large randomness and susceptibility to human-induced interference in the runoff of the data-free sub-basin in the main urban area of Harbin,the Intrinsic Time-scale Decomposition(ITD)algorithm is introduced into the study of the complexity of hydrological systems.The results show that the simulated runoff in the non-data sub-basin of the main urban area of Harbin shows strong nonlinear characteristics.Among them,the runoff entropy value of the Yunliang River Basin in the north is the largest,and the runoff entropy value of the Zhaolan new river basin in the south is the smallest.The entropy value of runoff complexity shows a trend from south to north and low from north to south.By comparing white noise and colored noise,the evaluation results of wavelet entropy(PE),permutation entropy(WE)and ITD-MFE show that ITD-MFE algorithm has better robustness.The research findings reveal the complexity difference and variation law of simulated runoff in the main urban area of Harbin without data,which has some guiding significance for guiding the scientific and rational use of runoff resources in the main urban area of Harbin in the future.