Papers by Author: Jie Hu

Abstract: GIS technology and fractal theory provide a powerful tools in the soil erosion study.Based on GIS and three-dimensional laser，and under rainfall intensities of 45, 90 and 130mm/h with 20°slope gradient using simulated rainfall experiment, Amount of erosion , fractal dimensions and Hydraulic parameters were studied from different slope positions, Which was up-slope mid-slope and low-slope, The results showed that the distribution of erosion along the slope was difference in different rainfall intensity. the fractal dimensions increased along the slope，It indicated that the complexity of erosion increased with slope length. Reynolds number, Froude number, Darcy-weisbach drag coefficient and the shear stress were the important hydraulic parameters to study the soil erosion process and soil erosion mechanism. They were showed the same or the opposite trend with fractal dimensions, taking into the erosion distribution and erosion development process, Dynamics of soil erosion could be further advance.

Abstract: This article introduces applications of 3S, Geographical Information System (GIS), Global Position System (GPS) and Remote Sensing (RS), in river’s flood control. Take revising the Lower Yellow River’s 1:50 000 riverway topographic maps as an example, the author elaborates how to use 3S to update the existing maps. It has shown that update of maps based on 3S is short in work period, cheap in cost and simple in process. Moreover, the revised topographic maps are with high precision and they can meet the urgent data requirements of Yellow River’s flood control. It can also provide a strong data support for the construction of Digital Yellow River.

Abstract: Fractal theory was used to study the rules of Yellow River’s food happening. The author put forward a method, grid method, to calculate the riverway’s fractal dimension. After comparing the fractal dimensions and flood peak discharges of the Lower Yellow River parts, some helpful conclusions have been achieved. At a certain scale range, riverway of the Lower Yellow River shows some fractal characteristics, that is self-similarity. The fractal dimension of the Lower Yellow River changes with the flood peak discharge. Usually, the bigger the fractal dimension, the more curving the river way, the bigger the flood peak discharge, the bigger the possibility that flood happens. As a result, the fractal dimension can be regarded as a quantitative index to predict flood.