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Advances in Meteorology
Volume 2016 (2016), Article ID 6130179, 15 pages
Research Article

Quantitative Estimation of the Impact of Precipitation and Land Surface Change on Hydrological Processes through Statistical Modeling

1College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
2National Cooperative Innovation Center for Water Safety & Hydro-Science, Hohai University, Nanjing 210098, China
3College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China

Received 3 January 2016; Revised 13 March 2016; Accepted 14 April 2016

Academic Editor: Hung Soo Kim

Copyright © 2016 Muhammad Saifullah et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Precipitation variability and land surface changes are the two primary factors that affect basin hydrology, and thus estimation of their impact is of great importance for sustainable development at a catchment scale. In this study, we investigated the long-term changes in precipitation and runoff, from 1961 to 2011, in the Yihe River basin by Mann-Kendall test. A new method of trend pattern was put forward and used to identify the trends of precipitation and runoff, which indicated that the basin had a decreasing trend in annual runoff. The change point occurred in the year 1985 dividing the long-term series into two periods. Precipitation elasticity and linear regression methods were used to quantify the impact of precipitation and land surface change on runoff and provided consistent results of the percentage change in an annual runoff for the postchange period. Use of these methods reveals that the reduction in annual runoff is mainly due to precipitation variability of 56.38–67.68% and land surface change of 43.62–32.32%, as estimated by precipitation elasticity and linear regression methods, respectively. Due to the rapid growth of urbanization, the land surface change increased from 1990 to 2010. The result of this study can provide a reference for the management of regional water resources.