共 17 条
1956-2003年拉萨河流域径流变化趋势(英文)
被引:18
作者:
蔺学东
[1
]
张镱锂
[1
]
姚治君
[1
]
巩同梁
[2
]
王宏
[3
]
除多
[4
]
刘林山
[1
]
张菲
[5
]
机构:
[1] Institute of Geographic Sciences and Natural Resources Research, CAS
[2] Tibet Hydroelectric Investigation, Designed Research Institute
[3] Tibet Hydrographic and Water Resources Survey Bureau
[4] Institute of Xizang-Plateau Atmosphere Environment Sciences
[5] Institute of Tibetan Plateau Research, CAS
关键词:
Lhasa River Basin;
trend of runoff variation;
Pettitt change-point test;
Mann-Kendall trend analysis;
multiple linear regressions;
D O I:
暂无
中图分类号:
P343 [陆地水文学、水文地理学(水象学)];
学科分类号:
081501 ;
摘要:
Taking the Lhasa River Basin above Lhasa hydrological station in Tibetan Plateau as a study area, the characteristics of the annual and monthly mean runoff during 1956?2003 were analyzed, based on the hydro-data of the two hydrological stations (Lhasa and Tanggya) and the meteorological data of the three meteorological stations (Damxung, Lhasa and Tanggya). The trends and the change points of runoff and climate from 1956 to 2003 were detected using the nonparametric Mann-Kendall test and Pettitt-Mann-Whitney change-point statistics. The correlations between runoff and climate change were analyzed using multiple linear regression. The major results could be summarized as follows: (1) The annual mean runoff during the last 50 years is characterized by a great fluctuation and a positive trend with two change points (around 1970 and the early 1980s), after which the runoff tended to in- crease and was increasing intensively in the last 20 years. Besides, the monthly mean runoff with a positive trend is centralized in winter half-year (November to April) and some other months (May, July and September). (2) The trends of the climate change in the study area are generally consistent with the trend of the runoff, but the leading climate factors which aroused the runoff variation are distinct. Precipitation is the dominant factor influencing the annual and monthly mean runoff in summer half year, while temperature is the primary factor in winter season.
引用
收藏
页码:95 / 106
页数:12
相关论文