Research on Rainfall data of Debris Flow Monitoring Station via WSN Technique and Spatial Analysis

Rainfall record is one of the most important Hydrological data. While analyzing the rainfall data, the integrality of the rainfall materials can't be neglected. There are correct rainfall materials that can just offer an intact hydrology analysis. In 2007, Taiwan suffered Krosa typhoon and caused debris flow disasters. This research discusses the Soil and Water Conservation Bureau's (SWCB) debris flow station's rainfall data with Central Weather Bureau's (CWB). Based on CWS's rainfall materials, remove the effect or terrain and then utilize ArcGIS9.1 of GIS software interpolation methods such as Kriging methods to estimate the debris flow station's rainfall value. In addition, we propose a wireless sensor network (WSN) based automatic weather stations (AWS), which takes advantage of the low-cost, real-time and infrastructure-free characteristics of WSN. We can therefore extend the scale of weather monitoring without increasing the number of telecommunication equipments. This WSN-based AWS is able to cover a plane and gather multiple sets of weather measurements in real-time at a better data resolution.