中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Drought Forecasting in a Semi-arid Watershed Using Climate Signals: a Neuro-fuzzy Modeling Approach

文献类型:期刊论文

作者Bahram CHOUBIN ; Shahram KHALIGHI-SIGAROODI ; Arash MALEKIAN ; Sajjad AHMAD ; Pedram ATTAROD
刊名Journal of Mountain Science
出版日期2014-11
卷号11期号:6页码:1593-1605
关键词Annual Rainfall Large-scale Climate Signals Neuro-Fuzzy Cross-Correlation Principal Components Analysis Drought
通讯作者Sajjad AHMAD
英文摘要Large-scale annual climate indices were used to forecast annual drought conditions in the Maharlu-Bakhtegan watershed, located in Iran, using a neuro-fuzzy model. The Standardized Precipitation Index (SPI) was used as a proxy for drought conditions. Among the 45 climate indices considered, eight identified as most relevant were the Atlantic Multidecadal Oscillation (AMO), Atlantic Meridional Mode (AMM), the Bivariate ENSO Time series (BEST), the East Central Tropical Pacific Surface Temperature (NINO 3.4), the Central Tropical Pacific Surface Temperature (NINO 4), the North Tropical Atlantic Index (NTA), the Southern Oscillation Index (SOI), and the Tropical Northern Atlantic Index (TNA). These indices accounted for 81% of the variance in the Principal Components Analysis (PCA) method. The Atlantic surface temperature (SST: Atlantic) had an inverse relationship with SPI, and the AMM index had the highest correlation. Drought forecasts of neuro-fuzzy model demonstrate better prediction at a two-year lag compared to a stepwise regression model.
收录类别SCI
公开日期2014-11-18
源URL[http://ir.imde.ac.cn/handle/131551/7427]  
专题成都山地灾害与环境研究所_Journal of Mountain Science _Journal of Mountain Science-2014_Vol11 No.6
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GB/T 7714
Bahram CHOUBIN,Shahram KHALIGHI-SIGAROODI,Arash MALEKIAN,et al. Drought Forecasting in a Semi-arid Watershed Using Climate Signals: a Neuro-fuzzy Modeling Approach[J]. Journal of Mountain Science,2014,11(6):1593-1605.
APA Bahram CHOUBIN,Shahram KHALIGHI-SIGAROODI,Arash MALEKIAN,Sajjad AHMAD,&Pedram ATTAROD.(2014).Drought Forecasting in a Semi-arid Watershed Using Climate Signals: a Neuro-fuzzy Modeling Approach.Journal of Mountain Science,11(6),1593-1605.
MLA Bahram CHOUBIN,et al."Drought Forecasting in a Semi-arid Watershed Using Climate Signals: a Neuro-fuzzy Modeling Approach".Journal of Mountain Science 11.6(2014):1593-1605.

入库方式: OAI收割

来源:成都山地灾害与环境研究所

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