EPA-104-G106-02-288

104

2,500 千元

2015/08/13

2016/07/31

黃亮芸

水保處

劉峯秀

環輿科技股份有限公司

水質保護

水污染溯源、空間分析、廢水特性規則

Water pollution source tracing, spatial analysis, the induction of wastewater characteristics

王立祥；陳致任

林佳玉

02-27788500#322

nora@gi-tech.com.tw

本年度計畫工作為蒐集與校正污染源、水體傳輸途徑資料，擬定智慧化檢核機制，蒐集污染源屬性及彙整廢水特性規則，擬定河川水質異常標準作業流程，建置污染溯源系統功能。 本計畫序列式檢核圖資、水列管事業大門與放流口座標，與釐清事業承受水體。重新數化用於污染溯源運算的圖資，新增了178個排入點、76個集污區，以及2,300個河段；並針對事業座標、放流口未通過檢核，均提供予各環保局執行座標校正回饋，亦於水系統建置智慧化檢核工具提升資料品質。 本年度計畫已彙整空水廢毒事業許可資料之欄位，內容包含原物料、廢棄物、水質項目、污泥特性、座標與承受水體名稱等；以及透過文獻整理逐一盤點水列管事業廢水污染特性規則，包含物理感官特性類(顏色、泡沫、溫度等)與化學項目類(酸鹼、有機與無機污染物)，藉由建立污染特性規則，縮小污染源搜尋範圍，加速第一時間之溯源追蹤作業。 計畫中建置河川水質異常通報平台，利用所整合之圖資，強化水質監測資訊查詢及可疑污染源追蹤功能，提供多樣化的可疑污染源溯源方法，並可與通報事件內容連結，產出特定事件之可疑污染源名單。此系統已完成三場次系統實機教育訓練。本計畫期望藉由資料校正與運用，以及完備相關系統功能，達成協助流域污染源管理與溯源之效。

水污染溯源、空間分析、廢水特性規則

EPA104G10602288.pdf

23MB

2016/10/1 上午 12:00:00

There are various types of data about water pollution prevention held by several government agencies. Lacking of integrative information sharing platform, when water pollution occur, the environmental authorities usually follow their own standard operation procedures to find the pollution source. It’s hard to preview some suspicious targets around the polluted area with existing information system, and to make some precious event data be well-recorded or be reutilized for value-added applications. Therefore, three main works are accomplished in this project to fix the situation. First task is data digitalization and examination of collected geographic information data. We digitalized 178 inlets of catchments, 76 catchments, and 2300 river parts. As for data examination, we discover some abnormal x-coordinates and y-coordinates in listed enterprises’ front door and discharge outlets. To correct the data, we informed all EPB to check and report the coordinates, and provided them with an auto-checking key-in user interface to ensure good data quality. Collecting attribute data of listed enterprises and compiling the wastewater characteristics of announced industries is also important work in the project. Attribute data including raw materials, hazardous wastes, chemical substances in wastewater and so forth is going to be applied to water pollution source tracking with GIS. Reviewing all kinds of literatures about wastewater characteristics, and categorizing characteristics with physical parameters and chemical parameters, we defined all announced industries’ wastewater characteristics with above-mention parameters, and used it as part of tools for water pollution source tracking. The third achievement is system constructing. We established a system for informing water pollution events and improve the function of water pollution source tracing module in WPGIS by developing the method of water pollution source tracing and providing user with value-added experiences through spatial analysis. We have already held three training lessons for environmental authorities this year. In sum, by data digitalization, examination, compiling and utilizing, it strengthens the power of water pollution source tracking for environmental authorities.

Water pollution source tracing, spatial analysis, the induction of wastewater characteristics