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城市公园声景长时感知模型研究——以加拿大温哥华市3个城市公园为例
洪昕晨1, 黄圳1, 王光玉2, 刘江1
1.福州大学;2.加拿大英属哥伦比亚大学
摘要:
为探究循环神经网络(RNN)对长时间模拟城市公园声景感知响度(PLS)和感知协调度(PHS)的适用性,采用具有时序记忆和延迟功能的Elman神经网络和NARX神经网络分别进行验证。将城市公园声景和光景客观指标作为输入层,PLS和PHS作为输出层进行神经网络训练和模拟。研究结果显示:1)PLS和PHS同时与等效A声级(LAeq)、背景声(L95)以及光景客观指标中的直射光(TL)之间具有相关性;2)Elman神经网络对PLS有较好的长时模拟效果,而NARX神经网络则对PHS具有较优的长时模拟效果;3)从输入层各参数的贡献率来看,等效A声级(LAeq)、前景声(L5)、心理声学参数响度(LO)和漫射光(EL)同时在两个RNN模型中体现出了较高的贡献度。该结果表明,循环神经网络适用于城市公园的声景长时感知模型,并为城市公园的声景优化设计提供了有效的评估方法和参考依据。
关键词:  声景  光景  循环神经网络(RNN)  城市公园  长时模拟  感知响度  感知协调度
DOI:10.14085/j.fjyl.2022.03.0086.06
分类号:TU986;TP391.41
基金项目:国家重点研发计划(编号 2018YFC0704705);教育部人文社会科学研究项目(编号 21YJCZH038);福建省中青年教师科研项目(编号 JAT200010)
Modeling Long-Term Perceived Soundscape in Urban Parks: A Case Study of Three Urban Parks in Vancouver, Canada
HONG Xinchen1, HUANG Zhen1, WANG Guangyu2, LIU Jiang1
1.Fuzhou University;2.University of British Columbia, Canada
Abstract:
To explore the applicability of Recurrent Neural Network (RNN) to simulate the long-term perceived loudness and harmoniousness of soundscape (PLS, PHS) in urban parks, this research uses the Elman and NARX neural networks with temporal memory and delay functions for separate validation. It takes objective parameters of soundscape and lightscape as inputs, and PLS and PHS as outputs to train and simulate the models of Elman and NARX neural network. The results show that: 1) There is correlation between PLS, PHS, LAeq, background sound (L95) and direct light (TL); 2) The Elman neural network has better long-term simulation effect on PLS and NARX neural network has better long-term simulation effect on PHS; 3) From the contribution rate of each parameter in the input layer, LAeq, foreground sound (L5), psychoacoustic parameter loudness (LO) and diffuse light (EL) simultaneously show a higher contribution in the two RNN models. The results indicate that the RNN is suitable for the long-term perceived soundscape in urban parks, providing an effective method and reference for the optimal design of soundscape in urban parks.
Key words:  soundscape  lightscape  recurrent neural network(RNN)  urban parks  long-term simulation  perceived loudness of soundscape  perceived harmoniousness of soundscape
引用本文:洪昕晨,黄圳,王光玉,刘江.城市公园声景长时感知模型研究——以加拿大温哥华市3个城市公园为例[J].风景园林,2022,29(3):86-91.
HONG Xinchen,HUANG Zhen,WANG Guangyu,LIU Jiang.Modeling Long-Term Perceived Soundscape in Urban Parks: A Case Study of Three Urban Parks in Vancouver, Canada[J].Landscape Architecture Journal, 2022, 29(3):86-91.