出版社：The International Institute for Science, Technology and Education (IISTE)
摘要：Some information from the study of the spatial and temporal distribution of these have significance in the management of water resources, such as drinking water supply, agricultural planning, analysis of flood and erosion hazard rate analysis and the effects of climate change (climate phenomenon ) for the purposes of environmental management. The main objective of this study was to produce precipitation variability to spatial and temporal erosivity Catchment Area in Bengkulu River watershed based on rainfall data. The specific objective of this research is to: Produce monthly rainfall erosion by 14 stations rainfall observation post in the Catchment Area Bengkulu River watershed. Spatial interpolation models to map the R-factor values are seen in their spatial distribution. Spatial and temporal distribution of rainfall reviewed to provide basic information on the distribution patterns of rainfall at a rate of rain erosivity (R). This study focuses on the use of Bol's method for calculating the value of erosivity rainfall and calculates the spatial distribution pattern of an average value analysis Rainfall In Monthly and Yearly so be input in applying the method of spatial models IDW interpolation method.Results showed that the spatial distribution pattern as follows (1). Value Erosivity highest in January is 725, which is the highest value, the value of erosivity reached 26 was in August at Station Post observations of rainfall in the area Pagar Jati, this shows the level of erosion is very small, because of the intensity of the fall of rain sanggat rare happen. There are several factors that can affect the rate of erosion in addition to the intensity of the rainfall, Climate, soil, Relief, and Topography. (2). Monthly rainfall distribution Catchment Area Bengkulu River watershed monsoon rainfall pattern shows that there is a maximum peak in November and a minimum peak that occurred in August.
