A WebGIS-based decision-making system for monitoring and control of hyphantria cunea

Hyphantria cunea is one of the harmful international plant quarantine pests. In order to monitor and control the increasingly serious situation, based on the materials and data collected by “the 221 project” in Beijing in recent three years, this paper studies the spatial decision-making system of hyphantria prevention and control simulation, by combining WebGIS, JSP and Ajax technology. We design the architecture for the decision-making system, the database and the modules for detailed functions using ArcIMS advanced development technology. We also implement a centralized data management, a reasonable layout for monitoring stations and material reserve stations, a scientific and dynamic outbreak simulation, a decision-making system for its prevention and control. This provides a visual and convenient platform for the users to manage and query data; it also provides scientific proofs for the decision-makers to analyze and forecast the situation of hyphantria cunea, and to guide the on-field and aerial measures.