THE PREDICTION OF COMMUNITY EFFLUENT WATER QUALITY BASED ON GM(1,1)OF GREY SYSTEM THEORY

碩士 === 大同大學 === 機械工程學系(所) === 92 === In the “Challenge 2008 Sanitary Sewer Construction & Implementation Plan” of the Construction and Planning Agency, Ministry of the Interior, it maps out the blueprint of the future sanitary sewer. It is predicable that the ratio of prevalence of the future sa...

Full description

Bibliographic Details
Main Authors: Wei-Cheng Tsai, 蔡尉成
Other Authors: Chao-heng Chien
Format: Others
Language:en_US
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/62556429230677485815
Description
Summary:碩士 === 大同大學 === 機械工程學系(所) === 92 === In the “Challenge 2008 Sanitary Sewer Construction & Implementation Plan” of the Construction and Planning Agency, Ministry of the Interior, it maps out the blueprint of the future sanitary sewer. It is predicable that the ratio of prevalence of the future sanitary sewer will be increased from 10.1% by end of 2002 to 20.3% in 2007. In order to prevent the direct discharge of the unpurified household sewage and industrial wastewater to the river (receiving water body), which run risk to pollute the ecological environment and affect our living quality, a wastewater treatment plant plays an important role. This research utilizes the GM (1.1) model of the grey system theory and use the actual operation data of a community wastewater treatment plant to conduct simulation prediction on the BOD, COD and SS of its effluent water quality based on the factorial time sequence and interaction relationship. Then the actual value and model prediction value are utilized to conduct the residual analysis in order to evaluate the prediction function of the model. The result of this thesis research finds that accurate prediction can be conducted on the effluent quality on a certain community wastewater treatment plant. For the accuracy of this experimental model prediction and in respect of COD, the average prediction value is 56.8220 and the residual mean-value is 6.9595%. In respect of BOD, the average prediction value is 15.2157 and the residual mean-value is 17.7555%. In respect of SS prediction, the average prediction value is 7.7713 and the residual mean-value is 2.5696%. The effect performance is quite good that can be provided to the operators as an important reference, so that advanced and appropriate measures can be adopted in order to avoid too much pollution on the receiving body of water.