Lin K.,Sun Yat Sen University |
Lin K.,Key Laboratory Of Water Cycle And Water Security In Southern China Of Guangdong Higher Educ Institute |
He Y.,Sun Yat Sen University |
He Y.,Key Laboratory Of Water Cycle And Water Security In Southern China Of Guangdong Higher Educ Institute |
And 2 more authors.
Shuili Fadian Xuebao/Journal of Hydroelectric Engineering | Year: 2012
An improved monthly SCS model was calibrated and used to simulate the runoff of each sub-basin of Dongjiang under different land use scenarios, based on the status quo of the land figures for two periods (the years 1980 and 2000) and the inputs of monthly hydrological data in the sub-basins Shuntian, Lantang, Jiuzhou and Yuecheng. Simulations of the four sub-basins by this model are satisfactory. The results show that since 1980s the land use in the Dongjiang basin have been characterized with a prominent increase in built-up land and strong farmland, while little change in forest, water and unutilized land. Land use change in the subbasins have caused increases in monthly mean runoff, maximum runoff and runoff in the flood period to different extent.
Zhang L.,Guangzhou University |
Chen X.-H.,Sun Yat Sen University |
Chen X.-H.,Key Laboratory Of Water Cycle And Water Security In Southern China Of Guangdong Higher Educ Institute |
Qian H.-S.,Guangzhou University
Shuili Xuebao/Journal of Hydraulic Engineering | Year: 2011
According to the strategy for coexisting with flood sustainably, flood mitigation was split into three phases: flood control, disaster undertaking, recovery and reconstruction. Resilience is employed to describe recovery speed of flood-control system after wreckage. By means of selecting dominating driving forces of recovery capability from flood hazard, an indicator system is presented and an assessment model named as compromise programming model is developed. The application of the proposed model to lower reaches of Beijiang River shows that the maximum of resilience to flood hazard is 0.57 and the minimum is 0.33. The result demonstrates that the proposed model is feasible and effective.