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Forecasting water levels on Mekong river is an important problem needed to be studied for flood warning. In this paper, we investigate the application to forecasting of daily water levels at Thakhek station on Mekong river using machine learning models such as LASSO, Random Forests and Support Vector Regression (SVR). Experimental results showed that SVR was able to achieve feasible results, the mean...
Land use and cover change (LUCC) produced enormous environmental impacts throughout the world. In this study, we quantified the spatiotemporal pattern of LUCC in the Oujiang River Basin, Eastern China, using remotely sensed data, landscape metrics and spatial analysis techniques. Results showed that residential growth and cropland reduction were the major forms of LUCC during 1992-2007. Despite of...
On the condition of different dam heights and different shapes of river valley, 3-D dynamical responses of concrete-faced rockfill dams subjected to different seismic intensity input are analyzed based on equivalent-linear model in this paper. The results show that, the distribution of the acceleration along the dam heights at the edge points on the central section is S-shaped; the acceleration increases...
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