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1766-2000年黄河上中游汛期径流量波动特征及其与PDO关系
Reconstruction of runoffs over Upper-Middle Reaches of Yellow River and its relationship between PDO since AD 1766

查看参考文献23篇

潘威 1,2   郑景云 2   满志敏 3  
文摘 利用清代黄河上中游3个站点的志桩尺寸记录,通过建立回归模型反演了1766-1911年的逐年径流量,重建了兰州、青铜峡和三门峡1766-2000年的逐年汛期径流量序列,再结合河源段唐乃亥站1766-2000年的逐年径流量,构建了河源—上游—中游4个站点的径流量序列,这是目前利用历史文献记录能够获得的最为清晰的黄河径流量曲线。研究显示,19世纪中期出现在黄河下游的沉重“河患”是由青铜峡—三门峡河段内的径流量突变所致,而20世纪20年代的枯水时段从河源段到中游段都存在,但其不是突变造成。同时,研究也揭示出太平洋年代际振荡(PDO)与黄河上中游径流量在年代际尺度上存在着阶段性的反相位关系,20世纪前期和中期,8~16年尺度上在4个站点的径流量都有反相位关系出现;在19世纪30-50年代,PDO与流量在4~6年尺度上的反相位关系在兰州和三门峡断面都较为明显。交互小波分析显示,PDO与黄河上中游汛期水量在8~16年尺度上存在着较为明显的反相关关系,但只存在于三门峡和兰州断面。这一关系也许表明,黄河上中游产流区的夏季降雨量与PDO的关系具有较为明显的时间和空间差异性。
其他语种文摘 This study, through establishing the regression model, inverts the annual runoff of 1766- 1911 AD, builds up and improves the annual runoff series of 1766- 2000 AD in flood season in Lanzhou, Qingtongxia and Sanmenxia by using the records of water level stake of three gauge stations in the Upper- Middle Yellow River (UMYR) in the Qing Dynasty. Combining the annual runoff of 1766- 1911 AD at Tangnaihai Station in riverhead reach, the study builds the runoff series of four stations at the riverhead and UMYR, which is presently the clearest runoff curve of the Yellow River by historical records. According to the research, the heavy "river disaster" that appeared in the lower Yellow River in the mid-19th century was caused by sudden changes of the runoff at the Qingtongxia-Sanmenxia section. Drought period of the river in the 1920s existed from the riverhead to the middle reach, but it was not caused by sudden changes. Meanwhile, the study also reveals that PDO and the runoff of the UMYR had a periodic inverse phase relationship on the interdecadal scale. In the early and mid-20th century, the runoff of the four stations had an inverse phase relationship on the scale of 8-16 years. In the 1830-1850s, the inverse phase relationship between PDO and flow on the scale of 4- 6 years was more obvious at Lanzhou- Sanmenxia section. According to the interactive wavelet analysis, there is a significant inverse correlation between PDO and the amount of water in the UMYR on a scale of 8- 16 years, but only at the Sanmenxia- Lanzhou section, suggesting that the relationship between summer rainfall in the UMYR and PDO had obvious temporal and spatial differences. (1) During the study period, the change of runoff flow in the UMYR had obvious differences; On the natural state, there was no obvious consistency in the flow change of the UMYR. The occurrence of sudden change time point was not synchronous in history. In the long term, the runoff change of the UMYR had a unique phenomenon. The simultaneous reduction of flows of each reach since the 1970s is a special phenomenon, at least it is the only phenomenon discussed in this study within this time range. (2) It is concluded that the correlation between the PDO and runoff in the UMYR is periodic and there is no special obvious linear relationship, but regional differences are more obvious. The inverse correlation between PDO and runoff in the study reaches is mainly on a decadal scale. The Lanzhou- Sanmenxia section is relatively sensitive in the face of the change of the PDO on the decadal scale. When formulating the water resources strategy of the Yellow River, we should notice the differences in the response of different sections to the same environmental background. (3) In the mid- 19th century, many large- scale floods in the lower reach resulted from the sudden increase of runoff in the middle reach. In the reign of Emperor Daoguang of the mid- 19th century, the Qing Dynasty declined rapidly. During this period, large- scale flood disasters occurred in many parts of eastern China, especially in the populous North China Plain and Taihu Basin. The flood brought huge financial and social losses. Among them, eastern Henan of North China Plain suffered from the flood disaster in successive years by burst of the Yellow River in the 1840s, and the central government spent a huge amount of money to solve the problem of the river, which greatly aggravated the financial difficulties in that period.
来源 地理学报 ,2018,73(11):2053-2063 【核心库】
DOI 10.11821/dlxb201811001
关键词 黄河 ; 气候变化 ; PDO ; 径流量
地址

1. 云南大学历史地理研究所, 昆明, 650091  

2. 中国科学院地理科学与资源研究所, 中国科学院陆地表层格局与模拟重点实验室, 北京, 100101  

3. 复旦大学历史地理研究中心, 上海, 200433

语种 中文
文献类型 研究性论文
ISSN 0375-5444
学科 地球物理学
基金 国家重点研发计划 ;  国家自然科学基金项目
文献收藏号 CSCD:6364801

参考文献 共 23 共2页

1.  IPCC. Climate Change 2014: The Scientific Basis,2014 CSCD被引 1    
2.  Mantua Nathan J. A pacific interdecadal climate oscillation with impacts on salmon production. Bulletin of the American Meteorological Society,1997,78(6):1069-1079 CSCD被引 335    
3.  任国玉. Shijia-zhuang气候变化对中国水资源情势影响综合分析. 水科学进展,2008,19(6):772-779 CSCD被引 64    
4.  李峰平. 气候变化对水循环与水资源的影响研究综述. 地理科学,2013,33(4):457-464 CSCD被引 77    
5.  夏军. 气候变化对我国水资源影响研究面临的机遇与挑战. 地球科学进展,2010,26(1):1-12 CSCD被引 3    
6.  王国庆. 黄河流域水资源未来变化趋势分析. 地理科学,2001,25(5):396-400 CSCD被引 15    
7.  Piao S. The impacts of climate change on water resources and agriculture in China. Nature,2010,467:43-51 CSCD被引 450    
8.  勾晓华. 黄河上游过去1234年流量的树轮重建与变化特征分析. 科学通报,2010,55(33):3236-3243 CSCD被引 35    
9.  康玲玲. 黄河上游兰州站近500年天然径流量序列重建. 水资源与水工程学报,2007,18(4):5-8 CSCD被引 5    
10.  王金花. 黄河兰州站520年汛期径流变化规律及预测. 人民黄河,2009,31(10):71-73 CSCD被引 3    
11.  潘威. 1766年以来黄河中游与永定河汛期径流量的变化. 地理学报,2013,68(7):975-982 CSCD被引 6    
12.  Liu F. Spatial and temporal variability of water discharge in the Yellow River Basin over the past 60 years. Journal of Geographical Sciences,2012,22(6):1013-1033 CSCD被引 13    
13.  庄宏忠. 清代志桩及黄河"水报"制度运作初探:以陕州万锦滩为例. 清史研究,2016(2):87-99 CSCD被引 1    
14.  Ze'ev Gedalof. Interdecadal climate variability and regime‐scale shifts in Pacific North America. Geophysical Research Letters,2001,28(8):1515-1518 CSCD被引 5    
15.  郑景云. 黄河中下游地区过去300年降水变化. 中国科学: D辑,2005,35(8):765-774 CSCD被引 32    
16.  史辅成. 青铜峡志桩考证及历年水量估算. 人民黄河,1990,12(4):27-29 CSCD被引 2    
17.  史辅成. 黄河历史洪水调查,考证和研究,2002 CSCD被引 1    
18.  侯迎. 基于树轮资料重建石羊河上游历史时期气候与径流量变化,2011 CSCD被引 2    
19.  Hamlet A F. Columbia River streamflow forecasting based on ENSO and PDO climate signals. Journal ofWater Resources Planning & Management,1999,125(6):333-341 CSCD被引 5    
20.  张瑞. 近50年来长江入海径流量对太平洋年代际震荡变化的响应. 海洋通报,2011,30(5):572-577 CSCD被引 8    
引证文献 3

1 王俊杰 黄河入海径流量周期变化与东亚夏季风的关系研究 海洋通报,2020,39(3):316-324
CSCD被引 4

2 龚兰兰 1951 - 2018年河北围场地区降水的多尺度变化特征 水资源与水工程学报,2020,31(5):87-92,101
CSCD被引 0 次

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