## Abstract The nonlinear trend of runoff and its response to climate change in the Aksu River were identified and evaluated using several selected methods, including grey relation analysis, wavelet analysis, and regression analysis. The time series of runoff and related climate variables from two
Temporal trends of hydro-climatic variables and runoff response to climatic variability and vegetation changes in the Yiluo River basin, China
β Scribed by Qiang Liu; Zhifeng Yang; Baoshan Cui; Tao Sun
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 297 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0885-6087
- DOI
- 10.1002/hyp.7414
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
The Yiluo River is the largest tributary for the middle and lower reaches of the Yellow River below Sanmenxia Dam. Changes of the hydrological processes in the Yiluo River basin, influenced by the climatic variability and human activities, can directly affect ecological integrity in the lower reach of the Yellow River. Understanding the impact of the climatic variability and human activities on the hydrological processes in the Yiluo River basin is especially important to maintain the ecosystem integrity and sustain the society development in the lower reach of the Yellow River basin. In this study, the temporal trends of annual precipitation, air temperature, reference evapotranspiration (ET~0~) and runoff during 1961β2000 in the Yiluo River basin were explored by the MannβKendall method (MβK method), Yamamoto method and linear fitted model. The impacts of the climatic variability and vegetation changes on the annual runoff were discussed by the empirical model and simple water balance model and their contribution to change of annual runoff have been estimated. Results indicated that (i) significant upwards trend for air temperature and significant downwards trend both for precipitation and ET~0~ were detected by the MβK method at 95% confidence level. And the consistent trends were obtained by the linear fitted model; (ii) the abrupt change started from 1987 detected by the MβK method and Yamamoto method, and so the annual runoff during 1961β2000 was divided into two periods: baseline period (1961β1986) and changeable period (1987β2000); and (iii) the vegetation changes were the main cause for change of annual runoff from baseline period to changeable period, and climatic variability contributed a little to the change of annual runoff of the Yiluo River. Copyright Β© 2009 John Wiley & Sons, Ltd.
π SIMILAR VOLUMES
## Abstract On the basis of the mean air temperature, precipitation, sunshine duration and pan evaporation at 23 meteorological stations in the headwater catchment of the Yellow River basin from 1960 to 2001, the longβterm monotonic trend and abrupt changes for major climate variables have been inv
## Abstract Observed rainfall and flow data from the Dongjiang River basin in humid southern China were used to investigate runoff changes during lowβflow and flooding periods and in annual flows over the past 45 years. We first applied the nonβparametric MannβKendall rank statistic method to analy
The temporal trends of reference evapotranspiration (ET ref ) reflect the combined effects of radiometric and aerodynamic variables, such as global solar radiation (R s ), wind speed, relative humidity and air temperature. The temporal trends of annual ET ref during 1961-2006 calculated by Penman-Mo
## Abstract Located in the Loess Plateau of China, the Wuding River basin (30 261 km^2^) contributes significantly to the total sediment yield in the Yellow River. To reduce sediment yield from the catchment, largeβscale soil conservation measures have been implemented in the last four decades. The