Nonparametric Perturbing Nearest neighbor Bootstraping Model for Simulation of Flood Time Series
Nonparametric Perturbing Nearest neighbor Bootstraping Model for Simulation of Flood Time Series
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发表时间：
2000
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通讯作者：
W. Wen
中科院分区：
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作者：
W. Wen
本文研究了洪水时间序列非参数随机模拟的新方法。基于非参数最近邻自举模型的缺点和优点，提出了一种扰动最近邻自举模型，并将其应用于单站和多站洪水时间序列的随机生成。该模型概念清晰、结构单一。模型验证和确认的结果表明，所提出的模型对于洪水时间序列的模拟是有效的。
In this paper, a new approach for nonparametric stochastic simulation of flood time series was studied. Based on shortcoming and virtue of the nonparametric nearest neighbor bootstraping model, a perturbing nearest neighbor bootstraping model has been presented and was applied to the stochastic generation of flood time series at single station and multi stations. The model has clear concept and single structure. The results from model verification and validation have shown that the suggested model is functional for simulation of flood time series.