Drought Forecast Model and Framework Using Wireless Sensor Networks

in Sciences Citation Index(SCI), 科學引文索引資料庫(SCI)
標題Drought Forecast Model and Framework Using Wireless Sensor Networks
出版類型SCI(Sciences Citation Index)
AuthorsChaur-Tzuhn Chen, 陳朝圳
出版日期2006 / 7

Taiwan faces a serious challenge with an increasing frequency of drought in recent
years. Therefore, it is important to utilize the state-of-the-art sensing and communication
technologies to monitor and forecast effectively the drought, and then notify the relevant
departments for taking preventive measures against this natural disaster. This paper proposed
and developed a Drought Forecast and Alert System (DFAS), which is a 4-tier
system framework composed of Mobile Users (MUs), Ecology Monitoring Sensors
(EMSs), Integrated Service Server (ISS), and Intelligent Drought Decision System
(ID2S). DFAS combines the wireless sensor networks, embedded multimedia communications
and neural network decision technologies to effectively achieve the forecast and
alert of the drought. DFAS analyzes the drought level of the coming 7th day via the proposed
drought forecast model derived from the Back-Propagation Network algorithm.
The drought inference factors are the 30-day accumulated rainfall, daily mean temperature,
and the soil moisture to improve the accuracy of forecasting drought. These inference
factors are detected, collected and transmitted in real-time via the Mote sensors and
mobile networks. Once a region with possible drought hazard is identified, DFAS sends
altering messages to users’ appliances. System implementation results reveal that DFAS
provide the drought specialists and users with complete environment sensing data and
images. DFAS makes it possible for the relevant personnel to take preventive measures,
e.g., the adjustment of agricultural water, for a reduced loss.

期刊名稱Journal of Information Science and Engineering
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