TY - JOUR
TI - Multi-scale modeling of the response of runoff to climate change
AU - Di Chong-Li
AU - Yang Xiao-Hua
AU - Xia Xing-Hui
AU - Chen Xiao-Juan
AU - Li Jian-Qiang
JN - Thermal Science
PY - 2014
VL - 18
IS - 5
SP - 1511
EP - 1516
PT - Article
AB - With global warming, climate change has tremendously changed the hydrological  processes. To discover the non-linear trend of the natural runoff and its  response to precipitation and temperature in the Yellow River Basin, the  non-linear relationships among the runoff, precipitation and temperature are  analyzed by the wavelet decomposition and reconstruction methods, partial  correlation analysis and multiple linear regression analysis. The main  findings of this study are: (1) The annual natural runoff, precipitation and  temperature have the similar periods (27-year, 12-year), which indicates that  the periodicity of the natural annual runoff has closely relationship with  the regional climate change. (2) The annual runoff, precipitation and  temperature exhibit five patterns non-linear variations at five time scales  (1, 2, 4, 8, 16 years), that is to say, their non-linear trends are  scale-dependent with time. (3) The annual natural runoff has a significant  positive correlation with the precipitation and has a negative correlation  with temperature. In addition, the runoff variation is more sensitive to  change in precipitation than the change in temperature at all the five time  scales. (4) Although the runoff and the climate change factors have  non-linear trends at different time scales, the runoff has linear correlation  with the temperature and the precipitation, especially at a large time scale.