Abstract
Using the hydrological and meteorological data in the Kaidu River Basin during 1957–2008, we simulated the hydro-climatic process by back-propagation artificial neural network (BPANN) based on wavelet analysis (WA), and then compared the simulated results with those from a multiple linear regression (MLR). The results show that the variation of runoff responded to regional climate change. The annual runoff (AR) was mainly affected by annual average temperature (AAT) and annual precipitation (AP), which revealed different variation patterns at five time scales. At the time scale of 32-years, AR presented a monotonically increasing trend with the similar trend of AAT and AP. But at the 2-year, 4-year, 8-year, and 16-year time-scale, AR presented nonlinear variation with fluctuations of AAT and AP. Both MLR and BPANN successfully simulated the hydroclimatic process based on WA at each time scale, but the simulated effect from BPANN is better than that from MLR.
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Jianhua Xu obtained his B.S. of mathematics and M.S. of geography from Lanzhou University, China in 1986 and 1988, respectively. He worked as a Professor in Department of Geography at Lanzhou University from 1996 to 2000. Then, he has been working as a Professor in the Key Lab of GIScience of the Education Ministry of China, East China Normal University until now. He has hosted and finished more than 30 research projects which from National Natural Science Fund of China, National Social Science Fund of China, as well as from the support of provinces and ministries of China. He has already published 13 books and more than 100 academic papers. His research interests focus on geographical modelling, GIS and remote sensing application.
Yaning Chen obtained his B.S. and Ph.D. from Department of Geology, Northwest University, China in 1982 and 2000, respectively. Now, he is a Professor of Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, and the Director of the State Key Laboratory of Oasis Ecology and Desert Environment. He has hosted and finished more than 40 research projects which from National Natural Science Fund of China, National Basic Research Program of China, as well as from the support of provinces and ministries of China. He has already published more than 100 academic papers. His research interests focus on climate change and hydrology in arid area.
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Xu, J., Chen, Y., Li, W. et al. Combining BPANN and wavelet analysis to simulate hydro-climatic processes—a case study of the Kaidu River, North-west China. Front. Earth Sci. 7, 227–237 (2013). https://doi.org/10.1007/s11707-013-0354-2
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DOI: https://doi.org/10.1007/s11707-013-0354-2