| 英文摘要 |
The Soil and Groundwater Management Information Systems (SGM) is a single portal for managing all soil and groundwater-related tasks. The system’s functions have been gradually expanded and strengthened according to task and management needs in previous projects. In addition, various systems have also been developed to cope with new trends of techniques or technologies, such as Geographic Information System (GIS), Mobile Device System (MDS), or Farmland Pollution Tracking Modules, among others.
Apart from continuation of system maintenance, this project focuses on three key aspects: (1) Strengthen irregularity management, which allows us to deal with problems properly once they happen: Examples include adding schedule alert and groundwater concentration trend analysis into the procedures of monitored sites. (2) Effectively integrate cross-field data and increase the completeness of environmental data: For example, this project has integrated data from Central Geological Survey Agency, Water Resource Agency, and Environmental Testing Agency, which not only is good for further management but can help simplify the resources needed for conducting tasks. (3) Strengthen data application and analysis, which can in turn aid management and decision-making: Examples include applications of cross-unit business surveys that have been conducted in the past, applications of basic data to conduct pollution factor evaluation analysis, application of graphical data on farm ditches surveyed by Water Resource and Engineering Associations, and application of monitored business sites to develop farmland pollution tracking modules.
Thanks to the aforementioned analyses or functional module developments, this project has thus far been able to, on task level, allow the Soil and Groundwater Pollution Remediation Fund Management Board’s to more effectively monitor the performance of monitored sites, of the subsidized projects, and of the progress of each county and city’s soil and groundwater task implementations. On practical management level, this project uses information integration platforms and farmland pollution tracking modules to better manage regional environment qualities as well as track down pollutions. Overall, the expansion and strengthening in such functions has allowed a 30% increase in operation efficiency, while the farmland pollution tracking modules has effectively helped reduce the scope in searching and determining polluters (a 20-50% reduction seen in actual cases).
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