| 田福昌,苑希民,王秀杰,耿庆柱.国内外河流（网）非线性动力系统防灾分形理论研究综述[J].水利学报,2018,49(8):926-936 |
| 国内外河流（网）非线性动力系统防灾分形理论研究综述 |
| Review on disaster prevention fractal theory of nonlinear dynamic system in rivers （networks） at home and abroad |
| 投稿时间：2018-05-06 |
| DOI：10.13243/j.cnki.slxb.20180419 |
| 中文关键词: 河流（网）动力系统 分形分维 水文序列 洪水分期 河型判别 智能分形 灾变系统 多尺度分形 |
| 英文关键词: dynamic system in rivers(networks) fractal and fractal dimension hydrological series seasonal flood channel pattern discrimination intelligent fractal catastrophe system multi-scale fractal in hydrology |
| 基金项目:国家重点研发计划项目（2017YFC0405601）；高等学校学科创新引智计划项目（B14012）；科技部重点领域创新团队项目（2014RA4031）；国家自然基金委创新团队项目（51621092） |
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| 摘要点击次数: 1963 |
| 全文下载次数: 1231 |
| 中文摘要: |
| 河流（网）非线性动力系统发展一般遵循“相对稳定—混沌—无序—分形自组织—恢复相对稳定”的变化规律，演变过程表现出一定的混沌分形特征。从长序列水文过程分形、洪水分期分形、河流形态演变分形、洪灾时序及频次分形、水文多尺度分形等5个方面，分析探讨了国内外河流（网）动力系统防灾分形理论研究动态及趋势展望。提出水利智能分形复合理论、流域多尺度洪灾分维动力机制、河型转化分维判别标准、河流演变复合参数分形特征与物理机制、堤防灾变系统演化分形混沌理论、水文多尺度智能分形与决策支持等方面是分形混沌学与水科学、灾害学及人工智能学交叉发展未来取得重要突破的关键方向。 |
| 英文摘要: |
| The development of nonlinear dynamic system in rivers (networks) generally follows the law:"relatively steady-chaos-disorder-fractal self-organization-back to relatively steady", and the evolution process shows a certain degree of chaotic fractal characteristics. From the aspects of long sequence hydrological process fractal, flood stage and fractal, river morphology evolution fractal, flood timing and frequency fractal, state-of-the-art and trend of disaster prevention fractal theory of dynamic system in rivers (networks), multi-scale analysis and fractal in hydrology at home and abroad are analyzed and discussed in the paper. Some aspects which include composite theory of water conservancy intelligence fractal,fractal dimension dynamic mechanism of multi-scale flood disasters in the basin, fractal dimension discrimination standard of river pattern change, compound parameter fractal characteristic and physical mechanism of river evolution and fractal chaos theory of embankment catastrophic system, intelligent fractal and decision support of multi-scale analysis in hydrology are key directions. These directions are about cross-development of fractal chaos science,water science,disaster science and artificial intelligence for great breakthroughs in the future. |
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