環保專案成果報告查詢系統

專案計畫編號
經費年度	112
計畫經費	416 千元
預算科目	水污染防治及水體水質改善
專案開始日期	2023/03/08
專案結束日期	2023/11/30
專案主持人	陳勝恭
主辦單位	雲林縣環境保護局
承辦人	吳亞臻
執行單位	能碩工程顧問股份有限公司
專案分類	水質保護
中文關鍵字	河川水質模式、水污染防治評核、關鍵測站
英文關鍵字	River water quality model, River pollution restoration assessment plan, Key monitoring stations
協同主持人
共同主持人
計畫聯絡人	劉冠岑
計畫聯絡電話	05-5374942#
計畫聯絡信箱	ylepbwater@gmail.com

中文摘要	本計畫執行的主要目地係針對雲林縣北港溪流域及新虎尾溪流域的環境背景資料進行彙整分析，進一步改善污染現況，並冀望藉由各支流排水及其他排水路之背景水質資料調查工作詳細清查出污染源，並依據科學數據研訂相關污染管制措施。透過河川水質模式建立及水質採樣檢測成果，辦理水質模式校驗及驗證工作。同時進一步協助追蹤管考各項「水污染防治評核計畫」，以增進評核成績並強化其執行成效。並透過以科學稽查方式達成轄內水污染防治法列管事業及影響水質測站上游集污區內臨登、未登工廠等未列管事業之查核工作，另外亦可透過水污費徵收查核提升水污費徵收之管理及催繳，並辦理水污染防治法相關法令宣導說明會強化轄內事業對於各項法令熟悉程度避免受罰。計畫執行期間已完成蒐集分析北港溪流域及新虎尾溪流域之環境背景資料，並針對水污染源排放特性及排放資料變化進行趨勢分析。針對北港溪、新虎尾溪支流排水及其他大排流域，已辦理河川水質採樣80點次，並進行河川水質模式校驗證及相關分析。根據以往相關資料和本計畫水質採樣結果，綜合北港溪和新虎尾溪的水質變化趨勢，關鍵指標污染物為生化需氧量（BOD）和氨氮。在北港溪流域，BOD主要來源為生活污水，畜牧廢水次之，分別占59.8%及31.0%，非點源污染為8.1%；氨氮污染物部分，整體而言以生活污水及畜牧廢水污染為主，分別各占44.0%及39.0%，而非點源為16.5%；SS主要來自非點源污染為主，占污染總量之50.5%，其次是生活污水33.5%、畜牧廢水15.3%。新虎尾溪流域主要受到畜牧廢水污染，在該集水區中BOD、氨氮及SS，畜牧廢水分別約占總量之67.4%、67.5%及44.3%。建議北港溪流域優先進行管制的指標污染物主要可從污染較嚴重的土庫大橋、觀光大橋的水質測站BOD、氨氮改善為主，新虎尾溪流域優先進行管制的指標污染物建議從污染日益嚴重的豐橋、海豐橋水質及新增之蚊港橋測站BOD、氨氮改善為主。建議持續擬定各項污染整治策略及方向應針對指標污染物全力強化污染減量工作，包含下水道建設、現地水質淨化工程、沼渣沼液資源回收及強化稽查管制作為…等相關強化措施及策略。針對雲林縣水污染防治評核計畫部分，已計算並提送整年度之關鍵測站水質改善作為並計算預估累計污染削減量。已辦理年度評核工作檢討會議4場次，並完成1場次之河川污染管制研析座談會。而水質測站上游集污區內臨登、未登工廠等未列管事業之清查對象已完成100家次；另針對水污費徵收列管事業執行240家次查核，完成召開水污染防治法令相關法規及生活污水減量宣導說明會3場次。本計畫工作項目已完成100％，符合契約相關規定要求。
中文關鍵字	河川水質模式、水污染防治評核、關鍵測站

中文摘要

本計畫執行的主要目地係針對雲林縣北港溪流域及新虎尾溪流域的環境背景資料進行彙整分析，進一步改善污染現況，並冀望藉由各支流排水及其他排水路之背景水質資料調查工作詳細清查出污染源，並依據科學數據研訂相關污染管制措施。透過河川水質模式建立及水質採樣檢測成果，辦理水質模式校驗及驗證工作。同時進一步協助追蹤管考各項「水污染防治評核計畫」，以增進評核成績並強化其執行成效。並透過以科學稽查方式達成轄內水污染防治法列管事業及影響水質測站上游集污區內臨登、未登工廠等未列管事業之查核工作，另外亦可透過水污費徵收查核提升水污費徵收之管理及催繳，並辦理水污染防治法相關法令宣導說明會強化轄內事業對於各項法令熟悉程度避免受罰。計畫執行期間已完成蒐集分析北港溪流域及新虎尾溪流域之環境背景資料，並針對水污染源排放特性及排放資料變化進行趨勢分析。針對北港溪、新虎尾溪支流排水及其他大排流域，已辦理河川水質採樣80點次，並進行河川水質模式校驗證及相關分析。根據以往相關資料和本計畫水質採樣結果，綜合北港溪和新虎尾溪的水質變化趨勢，關鍵指標污染物為生化需氧量（BOD）和氨氮。在北港溪流域，BOD主要來源為生活污水，畜牧廢水次之，分別占59.8%及31.0%，非點源污染為8.1%；氨氮污染物部分，整體而言以生活污水及畜牧廢水污染為主，分別各占44.0%及39.0%，而非點源為16.5%；SS主要來自非點源污染為主，占污染總量之50.5%，其次是生活污水33.5%、畜牧廢水15.3%。新虎尾溪流域主要受到畜牧廢水污染，在該集水區中BOD、氨氮及SS，畜牧廢水分別約占總量之67.4%、67.5%及44.3%。建議北港溪流域優先進行管制的指標污染物主要可從污染較嚴重的土庫大橋、觀光大橋的水質測站BOD、氨氮改善為主，新虎尾溪流域優先進行管制的指標污染物建議從污染日益嚴重的豐橋、海豐橋水質及新增之蚊港橋測站BOD、氨氮改善為主。建議持續擬定各項污染整治策略及方向應針對指標污染物全力強化污染減量工作，包含下水道建設、現地水質淨化工程、沼渣沼液資源回收及強化稽查管制作為…等相關強化措施及策略。針對雲林縣水污染防治評核計畫部分，已計算並提送整年度之關鍵測站水質改善作為並計算預估累計污染削減量。已辦理年度評核工作檢討會議4場次，並完成1場次之河川污染管制研析座談會。而水質測站上游集污區內臨登、未登工廠等未列管事業之清查對象已完成100家次；另針對水污費徵收列管事業執行240家次查核，完成召開水污染防治法令相關法規及生活污水減量宣導說明會3場次。本計畫工作項目已完成100％，符合契約相關規定要求。

中文關鍵字

河川水質模式、水污染防治評核、關鍵測站

類型	檔名	檔案大小	說明	最新版公開日期
期末報告	期末報告定稿本(全文).pdf	38MB		2024/3/30 上午 12:00:00

摘要	The main purpose of this project is to analyze the environmental background data of the Beigang River Basin and Hsinhuwei River Basin in Yunlin County to further improve the water pollution situation. It is also hoped that through the investigation of background water quality data of each tributary drainage and other drainage, the sources of pollution will be identified in detail, and relevant pollution control measures will be developed based on scientific data. Through the establishment of river water quality models and water quality sampling and testing results, water quality model calibration and verification work were completed. At the same time, we assist in the tracking and management of various "Water Pollution Prevention and Control Assessment Plans" to improve assessment results and strengthen their implementation effectiveness. We also use scientific inspection methods to complete the inspection of businesses listed under the control of the Water Pollution Prevention and Control Act in the jurisdiction, as well as temporarily registered and unregistered factories and other unregulated businesses in the catchment area upstream of the water quality monitoring station. In addition, the management and collection of water pollution prevention and control fees can also be improved through the water pollution prevention and control fee collection review. This project also organizes legal publicity and briefing sessions related to the Water Pollution Prevention and Control Act to enhance the familiarity of businesses within the jurisdiction with related laws to avoid penalties. During the implementation of the project, the collection and analysis of the environmental background data of the Beigang River Basin and the Hsinhuwei River Basin have been completed, and trend analysis has been conducted on the discharge characteristics of water pollution sources and changes in discharge data. For Beigang river, Hsinhuwei river tributary drainage and other large drainage basins, 80 river water quality sampling stations have been analyzed, and river water quality model calibration, verification and related approaches have been conducted. Based on the past relevant plans and the results of the water quality sampling of this project, the water quality changes of Beigang river and Hsinhuwei river have been illuminated. The primary indicator pollutants are biochemical oxygen demand (BOD) and ammonia-nitrogen. In the Beigang River Basin, the main source of BOD is domestic sewage, followed by livestock wastewater, accounting for 59.8% and 31.0% respectively, and non-point source pollution is 8.1%. Ammonia-nitrogen pollutants are generally dominated by domestic sewage and livestock wastewater pollution, accounting for 44.0% and 39.0% respectively, while non-point sources account for 16.5%. SS mainly comes from non-point source pollution, accounting for 50.5% of the total pollution, followed by domestic sewage 33.5% and livestock wastewater 15.3%. The Hsinhuwei River Basin is mainly polluted by livestock wastewater. In this watershed, BOD, ammonia-nitrogen and SS, and livestock wastewater account for approximately 67.4%, 67.5% and 44.3% of the total mass respectively. It is recommended that the indicator pollutants that should be prioritized for control in the Beigang River Basin should focus on BOD and ammonia-nitrogen improvement at the water quality monitoring stations of Tuku Bridge and Kuankuang Bridge, which are more seriously polluted. The index water quality pollutants that are prioritized for control in the Hsinhuwei River Basin are recommended to focus on improving BOD and ammonia-nitrogen in the increasingly polluted Feng Bridge, Haifeng Bridge and newly added Wengang Bridge monitoring stations. It is recommended that various pollution restoration strategies and directions should be continuously formulated and pollution reduction work should be fully strengthened for target pollutants, including sewer construction, on-site water quality purification projects, animal husbandry biogas slurry and residue resource recycling, and strengthening of business inspection and control measures and other related strengthening measures. and strategy. In addition, this plan has calculated and submitted the water quality improvement actions of key monitoring stations this year and calculated the estimated cumulative pollution reduction for the Yunlin County Water Pollution Prevention and Control Assessment Plan. The project has completed 4 annual evaluation work review meetings and 1 river pollution control research and analysis symposium. The inventory of temporarily registered and unregistered factories and other unregulated businesses in the catchment area upstream of the water quality monitoring station has been completed to 100 companies. In addition, 240 inspections were conducted on businesses subject to water pollution prevention and control fees. Completed 3 publicity briefings on Water Pollution Prevention and Control Act and regulations and domestic sewage reduction. The planned work project has been 100% completed and complies with the relevant provisions of the contract.
英文關鍵字	River water quality model, River pollution restoration assessment plan, Key monitoring stations

摘要

The main purpose of this project is to analyze the environmental background data of the Beigang River Basin and Hsinhuwei River Basin in Yunlin County to further improve the water pollution situation. It is also hoped that through the investigation of background water quality data of each tributary drainage and other drainage, the sources of pollution will be identified in detail, and relevant pollution control measures will be developed based on scientific data. Through the establishment of river water quality models and water quality sampling and testing results, water quality model calibration and verification work were completed. At the same time, we assist in the tracking and management of various "Water Pollution Prevention and Control Assessment Plans" to improve assessment results and strengthen their implementation effectiveness. We also use scientific inspection methods to complete the inspection of businesses listed under the control of the Water Pollution Prevention and Control Act in the jurisdiction, as well as temporarily registered and unregistered factories and other unregulated businesses in the catchment area upstream of the water quality monitoring station. In addition, the management and collection of water pollution prevention and control fees can also be improved through the water pollution prevention and control fee collection review. This project also organizes legal publicity and briefing sessions related to the Water Pollution Prevention and Control Act to enhance the familiarity of businesses within the jurisdiction with related laws to avoid penalties. During the implementation of the project, the collection and analysis of the environmental background data of the Beigang River Basin and the Hsinhuwei River Basin have been completed, and trend analysis has been conducted on the discharge characteristics of water pollution sources and changes in discharge data. For Beigang river, Hsinhuwei river tributary drainage and other large drainage basins, 80 river water quality sampling stations have been analyzed, and river water quality model calibration, verification and related approaches have been conducted. Based on the past relevant plans and the results of the water quality sampling of this project, the water quality changes of Beigang river and Hsinhuwei river have been illuminated. The primary indicator pollutants are biochemical oxygen demand (BOD) and ammonia-nitrogen. In the Beigang River Basin, the main source of BOD is domestic sewage, followed by livestock wastewater, accounting for 59.8% and 31.0% respectively, and non-point source pollution is 8.1%. Ammonia-nitrogen pollutants are generally dominated by domestic sewage and livestock wastewater pollution, accounting for 44.0% and 39.0% respectively, while non-point sources account for 16.5%. SS mainly comes from non-point source pollution, accounting for 50.5% of the total pollution, followed by domestic sewage 33.5% and livestock wastewater 15.3%. The Hsinhuwei River Basin is mainly polluted by livestock wastewater. In this watershed, BOD, ammonia-nitrogen and SS, and livestock wastewater account for approximately 67.4%, 67.5% and 44.3% of the total mass respectively. It is recommended that the indicator pollutants that should be prioritized for control in the Beigang River Basin should focus on BOD and ammonia-nitrogen improvement at the water quality monitoring stations of Tuku Bridge and Kuankuang Bridge, which are more seriously polluted. The index water quality pollutants that are prioritized for control in the Hsinhuwei River Basin are recommended to focus on improving BOD and ammonia-nitrogen in the increasingly polluted Feng Bridge, Haifeng Bridge and newly added Wengang Bridge monitoring stations. It is recommended that various pollution restoration strategies and directions should be continuously formulated and pollution reduction work should be fully strengthened for target pollutants, including sewer construction, on-site water quality purification projects, animal husbandry biogas slurry and residue resource recycling, and strengthening of business inspection and control measures and other related strengthening measures. and strategy. In addition, this plan has calculated and submitted the water quality improvement actions of key monitoring stations this year and calculated the estimated cumulative pollution reduction for the Yunlin County Water Pollution Prevention and Control Assessment Plan. The project has completed 4 annual evaluation work review meetings and 1 river pollution control research and analysis symposium. The inventory of temporarily registered and unregistered factories and other unregulated businesses in the catchment area upstream of the water quality monitoring station has been completed to 100 companies. In addition, 240 inspections were conducted on businesses subject to water pollution prevention and control fees. Completed 3 publicity briefings on Water Pollution Prevention and Control Act and regulations and domestic sewage reduction. The planned work project has been 100% completed and complies with the relevant provisions of the contract.

英文關鍵字

River water quality model, River pollution restoration assessment plan, Key monitoring stations