| 黑河流域地理观测分析——复杂性科学视角（英文） |
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| 引用本文： | 高剑波,方鹏,袁丽华.黑河流域地理观测分析——复杂性科学视角（英文）[J].地理学报(英文版),2019(9):1441-1461. |
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| 作者姓名： | 高剑波 方鹏 袁丽华 |
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| 作者单位： | State Key Laboratory of Earth Surface Processes and Resource Ecology;Institute of Complexity Science and Big Data Technology;Wuhan National Laboratory for Optoelectronics;Center for GeoData and Analysis |
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| 基金项目： | National Natural Science Foundation of China,No.71661002,No.41671532;National Key R&D Program of China,No.2017YFB0504102;The Fundamental Research Funds for the Central Universities |
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| 摘 要： | Since 2005,dozens of geographical observational stations have been established in the Heihe River Basin(HRB),and by now a large amount of meteorological,hydrological,and ecological observations as well as data pertaining to water resources,soil and vegetation have been collected.To adequately analyze these available data and data to be further collected in future,we present a perspective from complexity theory.The concrete materials covered include a presentation of adaptive multiscale filter,which can readily determine arbitrary trends,maximally reduce noise,and reliably perform fractal and multifractal analysis,and a presentation of scale-dependent Lyapunov exponent(SDLE),which can reliably distinguish deterministic chaos from random processes,determine the error doubling time for prediction,and obtain the defining parameters of the process examined.The adaptive filter is illustrated by applying it to obtain the global warming trend and the Atlantic multidecadal oscillation from sea surface temperature data,and by applying it to some variables collected at the HRB to determine diurnal cycle and fractal properties.The SDLE is illustrated to determine intermittent chaos from river flow data.
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| 关 键 词： | Heihe River BASIN GEOGRAPHICAL observation COMPLEXITY theory adaptive multiscale filter FRACTAL analysis scale-dependent LYAPUNOV EXPONENT |
Analyses of geographical observations in the Heihe River Basin: Perspectives from complexity theory |
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| Gao Jianbo,FANG Peng,YUAN Lihua.Analyses of geographical observations in the Heihe River Basin: Perspectives from complexity theory[J].Journal of Geographical Sciences,2019(9):1441-1461. |
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| Authors: | Gao Jianbo FANG Peng YUAN Lihua |
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| Abstract: | Since 2005, dozens of geographical observational stations have been established in the Heihe River Basin(HRB), and by now a large amount of meteorological, hydrological, and ecological observations as well as data pertaining to water resources, soil and vegetation have been collected. To adequately analyze these available data and data to be further collected in future, we present a perspective from complexity theory. The concrete materials covered include a presentation of adaptive multiscale filter, which can readily determine arbitrary trends, maximally reduce noise, and reliably perform fractal and multifractal analysis, and a presentation of scale-dependent Lyapunov exponent(SDLE), which can reliably distinguish deterministic chaos from random processes, determine the error doubling time for prediction, and obtain the defining parameters of the process examined. The adaptive filter is illustrated by applying it to obtain the global warming trend and the Atlantic multidecadal oscillation from sea surface temperature data, and by applying it to some variables collected at the HRB to determine diurnal cycle and fractal properties. The SDLE is illustrated to determine intermittent chaos from river flow data. |
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| Keywords: | Heihe River basin geographical observation complexity theory adaptive multiscale filter fractal analysis scale-dependent Lyapunov exponent |
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