气候变化领域集成服务门户(CCPortal): Simulating active layer temperature based on weather factors on the Qinghai-Tibetan Plateau using ANN and wavelet-ANN models

CCPortal

DOI	10.1016/j.coldregions.2020.103118
	Simulating active layer temperature based on weather factors on the Qinghai-Tibetan Plateau using ANN and wavelet-ANN models
	Gao, Siru; Wu, Qingbai; Zhang, Zhongqiong; Jiang, Guanli
发表日期	2020
ISSN	0165-232X
EISSN	1872-7441
卷号	177
英文摘要	Active layer temperature (ALT) is an important dynamic attribute in characterization of permafrost change. Accurate simulation of the dynamic changes of ALT is essential for management and application of monitoring ALT data. This paper discusses the use of artificial neural network (ANN) and wavelet-ANN (W-ANN) hybrid models to simulate and forecast the ALT time series data based on five weather factors: air temperature, precipitation, wind speed, downward longwave radiation and downward shortwave radiation. Data are available for cold (FH1 site) and warm (CM2 site) permafrost locations on the Qinghai-Tibetan Plateau for the period 1996-2010. The ANN-based and W-ANN-based ALT models are developed using data from 1996 to 2007 and ALT forecasts are produced for the period 2008-2010 at both sites. The results demonstrate that ANN and W-ANN models can precisely simulate the ALT. The W-ANN hybrid model that uses decomposed sub-series as input provides forecasting results that are more accurate than the ANN model, which uses original time series. Moreover, the W-ANN-based ALT model is found more appropriate for modeling complicated physical relations between inputs and output.
英文关键词	Artificial neural network (ANN); Wavelet transform; Active layer temperature; Weather factors; Qinghai-Tibetan Plateau
语种	英语
WOS研究方向	Engineering ; Geology
WOS类目	Engineering, Environmental ; Engineering, Civil ; Geosciences, Multidisciplinary
WOS关键词	THERMAL REGIMES ; TIME-SERIES ; PERMAFROST ; EMBANKMENT ; PREDICTION ; DYNAMICS
WOS记录号	WOS:000554882900004
来源期刊	COLD REGIONS SCIENCE AND TECHNOLOGY
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/240194
作者单位	[Gao, Siru; Wu, Qingbai; Zhang, Zhongqiong; Jiang, Guanli] Chinese Acad Sci, State Key Lab Frozen Soil Engn, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Gansu, Peoples R China; [Wu, Qingbai] Chinese Acad Sci, Beiluhe Observat Stn Frozen Soil Environm & Engn, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Gao, Siru,Wu, Qingbai,Zhang, Zhongqiong,et al. Simulating active layer temperature based on weather factors on the Qinghai-Tibetan Plateau using ANN and wavelet-ANN models[J]. 中国科学院西北生态环境资源研究院,2020,177.
APA	Gao, Siru,Wu, Qingbai,Zhang, Zhongqiong,&Jiang, Guanli.(2020).Simulating active layer temperature based on weather factors on the Qinghai-Tibetan Plateau using ANN and wavelet-ANN models.COLD REGIONS SCIENCE AND TECHNOLOGY,177.
MLA	Gao, Siru,et al."Simulating active layer temperature based on weather factors on the Qinghai-Tibetan Plateau using ANN and wavelet-ANN models".COLD REGIONS SCIENCE AND TECHNOLOGY 177(2020).