環保專案成果報告查詢系統

專案計畫編號	EPA-107-WA02-02-A158
經費年度	107
計畫經費	4,550 千元
預算科目	區域環境管理-推動區域環境保護工作
專案開始日期	2018/07/10
專案結束日期	2018/12/15
專案主持人	林明弘
主辦單位	中區環境督察大隊
承辦人	范文彬
執行單位	振興發科技有限公司
專案分類	水質保護、環境資訊系統
中文關鍵字	水污染、高污染潛勢事業、預警系統
英文關鍵字	Water pollution, High pollution potential institutions, Early warning system
協同主持人	陳威達
共同主持人
計畫聯絡人	陳恬恬
計畫聯絡電話	02-23393250#611
計畫聯絡信箱	allison@mail.pstcom.com.tw

中文摘要	本計畫主要為了建置高潛勢事業水污染預警系統，藉此提供稽查人員更便利的資料調閱及預警功能，相關工作簡述如下： (一)擴大水污染預警系統範疇及擴充系統功能　　本計畫於該工作項目之重點即是彙整中區環境督察大隊管轄之5縣市及水污染嚴重之縣市如桃園市、臺南市、高雄市之高污染潛勢事業資料庫，以提供未來稽查相關資訊，但建置相關資料前，需先鎖定高污染潛勢事業對象，再透過精確之資料以提供後續污染比對。故於建置前，本計畫規劃介接事業廢棄物申報及管理資訊系統、水污染源管制資料管理系統、環保報案中心公害陳情案件管理系統、環保稽查處分管制系統等外部資料。另亦規劃地區應介接之水質監測資料為環保署測站資料、環保局自設測站等資料來源，依據其監測物質與資料更新頻率不同，本計畫設計不同之欄位與更新機制，提供水質監測資料介接服務。並透過GIS與MIS結合，建立水污染預警系統。另在潛勢預警功能上，將介接的水污染源申報及許可資料中的各類參數，進行資料庫化，並提供合理值功能設定，及勾稽比對功能。讓高潛勢事業機構，能透過系統被篩選出來。另亦提供資料異常警示功能，讓申報資料有異常時，得以透過系統警示快速確認狀況。 (二)建立科學化風險排序準則為提供科學化風險排序準則，本計畫採用類神經網路法進行分析，並就金屬表面處理業（含電鍍）、印染整理業、製革業等工廠，進行高、中、低潛勢之分析。 (三)實廠驗證查核及資訊回饋　　目前完成之查核工作，已建立用水量、廢水量、用電量、用藥量、污泥量之參數，並透過合理性分析，提供關聯性參數之建立。執行期間已完成3家電鍍業與金屬表面處理業、2家畜牧業、2家印染整理業、3家皮革業，合計10家高污染事業之稽查。 (四)協助不法利得計算　　本計畫依據環保署所提供之資料進行廢水產生量、廢水處理之合理藥劑使用量及污泥產生量、單價及費用之蒐集，並建構不法利得試算表，期能協助主辦單位在未來不法利得計算尚可更為方便，於計畫期間，已協助環保署完成1家不法利得計算。 (五)辦理系統功能及使用教育訓練　　本計畫已於系統建置完成後辦理1場次之資料庫系統及GIS系統功能教育訓練。
中文關鍵字	水污染、高污染潛勢事業、預警系統

中文摘要

本計畫主要為了建置高潛勢事業水污染預警系統，藉此提供稽查人員更便利的資料調閱及預警功能，相關工作簡述如下： (一)擴大水污染預警系統範疇及擴充系統功能　　本計畫於該工作項目之重點即是彙整中區環境督察大隊管轄之5縣市及水污染嚴重之縣市如桃園市、臺南市、高雄市之高污染潛勢事業資料庫，以提供未來稽查相關資訊，但建置相關資料前，需先鎖定高污染潛勢事業對象，再透過精確之資料以提供後續污染比對。故於建置前，本計畫規劃介接事業廢棄物申報及管理資訊系統、水污染源管制資料管理系統、環保報案中心公害陳情案件管理系統、環保稽查處分管制系統等外部資料。另亦規劃地區應介接之水質監測資料為環保署測站資料、環保局自設測站等資料來源，依據其監測物質與資料更新頻率不同，本計畫設計不同之欄位與更新機制，提供水質監測資料介接服務。並透過GIS與MIS結合，建立水污染預警系統。另在潛勢預警功能上，將介接的水污染源申報及許可資料中的各類參數，進行資料庫化，並提供合理值功能設定，及勾稽比對功能。讓高潛勢事業機構，能透過系統被篩選出來。另亦提供資料異常警示功能，讓申報資料有異常時，得以透過系統警示快速確認狀況。 (二)建立科學化風險排序準則為提供科學化風險排序準則，本計畫採用類神經網路法進行分析，並就金屬表面處理業（含電鍍）、印染整理業、製革業等工廠，進行高、中、低潛勢之分析。 (三)實廠驗證查核及資訊回饋　　目前完成之查核工作，已建立用水量、廢水量、用電量、用藥量、污泥量之參數，並透過合理性分析，提供關聯性參數之建立。執行期間已完成3家電鍍業與金屬表面處理業、2家畜牧業、2家印染整理業、3家皮革業，合計10家高污染事業之稽查。 (四)協助不法利得計算　　本計畫依據環保署所提供之資料進行廢水產生量、廢水處理之合理藥劑使用量及污泥產生量、單價及費用之蒐集，並建構不法利得試算表，期能協助主辦單位在未來不法利得計算尚可更為方便，於計畫期間，已協助環保署完成1家不法利得計算。 (五)辦理系統功能及使用教育訓練　　本計畫已於系統建置完成後辦理1場次之資料庫系統及GIS系統功能教育訓練。

中文關鍵字

水污染、高污染潛勢事業、預警系統

類型	檔名	檔案大小	說明	最新版公開日期
期末報告	高污染潛勢事業評估驗證及預警機制建置計畫_公開版.pdf	20MB		2019/1/1 上午 12:00:00

摘要	In order to improve to access water pollution information and provide early warning function for inspectors, the purpose of this project is to build the Water Pollution Warning System for factories with high risk potential pollution. The program team has completed the milestones and details as follows: 1. Expand the scope of water pollution warning system and expand system functions. The focus of this project is collected the high pollution potential business database of 5 counties and cities under the jurisdiction of the Central Environmental Supervision Brigade and the counties and cities with serious water pollution such as Taoyuan City, Tainan City and Kaohsiung City. Therefore, the project team connect the WMS, EEMS, IWR ＆ MS, EAMS and other systems through the Webserver way. In addition, the project team also carried out data analysis. The project team also covers the environmental monitoring data of EPA, EPBs and other sources. Depending on the frequency of monitoring the material and the information, the project team designed different fields and update mechanisms. The project team to build water pollution potential water pollution early warning system through the combination of GIS and MIS. We also analyzed the various parameters and to build potential early warning function by through different water pollution source declaration and licensing information and the establishment of a database. It let this system function can provides a reasonable value of the function set and ticking comparison function. So that high potential business organizations can be screened out through the system. 2. Establishment of a scientific risk ranking criteria In order to provide a scientific risk ranking criterion, we use Artificial Neural Network to determine the pollution status of the factory risk. The scope of assessment includes metal surface treatment (including electroplating), printing and dyeing finishing factories, leather factories, etc. 3. Industries inspect results feedback and system risk verification 10 inspection work for industries had been completed. The project team to establish the parameter value rationality and relevance about use of water, waste water, electricity, dosage, sludge production by through the inspection work. 4. Principles of Illegal Profits for Illegal Wastewater Treatment The project team not only establishment of metal surface treatment industry (electroplating industry) illegal profit calculation of rationality based on the wastewater quality correlation parameters and related research literature sources but also had calculated 3 electroplating and metal surface treatment industries illegal income. We look forward it can be to assist the inspectors calculate the illegal profit are more convenient through the amount profitability of waste water treatment cost and sludge production and build the illegal profit of spreadsheet metal surface treatment industry (electroplating industry). 5. System function description and operation education training The program team will handle the system function introduction and operation education training when the system is completed.
英文關鍵字	Water pollution, High pollution potential institutions, Early warning system

摘要

In order to improve to access water pollution information and provide early warning function for inspectors, the purpose of this project is to build the Water Pollution Warning System for factories with high risk potential pollution. The program team has completed the milestones and details as follows: 1. Expand the scope of water pollution warning system and expand system functions. The focus of this project is collected the high pollution potential business database of 5 counties and cities under the jurisdiction of the Central Environmental Supervision Brigade and the counties and cities with serious water pollution such as Taoyuan City, Tainan City and Kaohsiung City. Therefore, the project team connect the WMS, EEMS, IWR ＆ MS, EAMS and other systems through the Webserver way. In addition, the project team also carried out data analysis. The project team also covers the environmental monitoring data of EPA, EPBs and other sources. Depending on the frequency of monitoring the material and the information, the project team designed different fields and update mechanisms. The project team to build water pollution potential water pollution early warning system through the combination of GIS and MIS. We also analyzed the various parameters and to build potential early warning function by through different water pollution source declaration and licensing information and the establishment of a database. It let this system function can provides a reasonable value of the function set and ticking comparison function. So that high potential business organizations can be screened out through the system. 2. Establishment of a scientific risk ranking criteria In order to provide a scientific risk ranking criterion, we use Artificial Neural Network to determine the pollution status of the factory risk. The scope of assessment includes metal surface treatment (including electroplating), printing and dyeing finishing factories, leather factories, etc. 3. Industries inspect results feedback and system risk verification 10 inspection work for industries had been completed. The project team to establish the parameter value rationality and relevance about use of water, waste water, electricity, dosage, sludge production by through the inspection work. 4. Principles of Illegal Profits for Illegal Wastewater Treatment The project team not only establishment of metal surface treatment industry (electroplating industry) illegal profit calculation of rationality based on the wastewater quality correlation parameters and related research literature sources but also had calculated 3 electroplating and metal surface treatment industries illegal income. We look forward it can be to assist the inspectors calculate the illegal profit are more convenient through the amount profitability of waste water treatment cost and sludge production and build the illegal profit of spreadsheet metal surface treatment industry (electroplating industry). 5. System function description and operation education training The program team will handle the system function introduction and operation education training when the system is completed.

英文關鍵字

Water pollution, High pollution potential institutions, Early warning system