EPA-92-Z102-02-102

092

4,340 千元

2003/04/01

2004/03/31

江康鈺

環境督察總隊

逢甲大學環境工程與科學系

化學物質管理

垃圾採樣,三成分分析,元素分析,發熱量,,,,

ultimate analysis,energy content,Refuse sampling,proximate analysis

童翔新、黃東池、李燊銘、林哲彥

江康鈺

04-24517250*5216

kychiang@fcu.edu.tw

垃圾組成採樣及分析工作對於垃圾適當之管理極為重要，尤其是垃圾組成受到季節、生活習慣、地理型態、人口及法規等因素之影響，同時上述因素之變動性亦將影響正確及具代表性之垃圾組成樣品。因此，本計畫將採集足夠之樣品數量進行分析，以確保本計畫之統計分析結果。有鑑於此，本計畫之主要目的包括(1)確定垃圾之組成比例；(2)分析垃圾之物理、化學及生物性質；(3)作為資源回收可行性之評估；(4)提供處理技術與設備設計之參考依據。本年度仍為延續性計畫，執行期限自民國92年4月起至93年3月止，台灣地區共計52個鄉鎮市為採樣地點，每季每鄉鎮市採集樣品一次，並分析其物理及化學性質。根據本年度之採樣分析結果顯示，長期之採樣分析有助於減少分析結果之誤差，並提供台灣地區垃圾性質分析之完善資料庫，同時本計畫結果亦可提供未來垃圾管理趨勢之重要參考依據。

垃圾採樣,三成分分析,元素分析,發熱量,,,,

0000065986.pdf

1MB

[期末報告]公開完整版

2004/6/1 上午 12:00:00

Municipal Solid Waste (MSW) composition established studies are important to the proper management of waste in municipalities and communities. The composition of generated waste is extremely varied due to seasonal, lifestyle, geographic, demographic, and legislative impacts. These variations make it difficult to obtain an accurate and representative waste composition sample. In order to ensure the statistical significance of project results, a sufficient number of samples must be sorted and a sufficiently large sample weight must be correctly collected for sorting. The objectives of this project were to (1) identify composition of component generation; (2) analyze physical, chemical, and biological properties of wastes; (3) estimate materials recovery potential for recycling; (4) aid in the design of processing equipment. To accomplish this objective, a composition and property project was designed and implemented continuously for Taiwan, from April 2003 to March 2004. This project was planned to sample 52 municipal solid waste (MSW) sources (municipalities) in Taiwan once a season for every source and to analyze the physical and chemical compositions of MSW samples. Based on observations during the Taiwan waste composition analysis project, it was concluded that a well-established database of MSW using the results of long-term sampling and analysis projects could reduce bias in results. This project also provided important information regarding consideration of trend in MSW management.

ultimate analysis,energy content,Refuse sampling,proximate analysis