摘要
一氧化碳(CO)是一種無色無味的氣體，形成的過程中往往是不完全燃燒的無機物質，當燃料燃燒器在室內的操作或維護與通風設備不正常時，可以累積到危險濃度。
本文依據一氧化碳中毒案件為研究對象，透過現況調查及文獻回顧，深入瞭解居家ㄧ氧化碳中毒致災原因，並歸納整理居家ㄧ氧化碳中毒各項致災變數因子對於致災潛勢的關聯性，進而應用統計方法建立多元迴歸模式進行分析法，找出關鍵致災變數之迴歸方程式，提出適當之預測模式。
証證結果顯示：燃氣熱水器使用時間、開窗通風情形及室內幾何空間面積等三個自變數達顯著性影響，為影響居家一氧化碳生成濃度對人體造成影響的關鍵因素，而其所獲得之模式(RF式模組及CF式模組)判定係數（R2）分別為0.732及0.873，顯示該二組迴歸方程式，可解釋單位時間一氧化碳產生濃度之程度相當高。
關鍵字：一氧化碳中毒、多元迴歸分析、居家安全訪視
ABSTRACT
Carbon monoxide is an odorless, colorless gas often formed in the process of incomplete combustion of inorganic substances. Carbon monoxide can build up to dangerous concentrations indoors when fuel-burning devices are not properly vented, operated, or maintained.
This study investigates the causes of home carbon monoxide poisoning related to the installation and use of gas water heaters. A database of some 45 case histories of carbon monoxide poisoning is presented. The multiple regression analysis is applied to estimate correlations among factors and establish a regression model of carbon monoxide poisoning.
The result shows three variables, the length of opening window, using time on gas water heater, room size for gas water heater, which significantly impact carbon monoxide poisoning. Based on the multiple regression analysis, the coefficients of determination (R2) for the models of RF and CF are equal to 0.732 and 0.873, respectively. The group of regression equation may explain precisely predict the unit interval/unit time of carbon monoxide.
Keywords: Carbon monoxide poisoning; Multiple Regression Analysis; Interview of home safety
|