A comparative analysis of methods to represent uncertainty in estimating the cost of constructing wastewater treatment plants

被引:31
作者
Chen, HW [1 ]
Chang, NB [1 ]
机构
[1] Natl Cheng Kung Univ, Dept Environm Engn, Tainan 70101, Taiwan
关键词
wastewater treatment; cost analysis; fuzzy linear regression; fuzzy goal regression; forecasting; environmental management;
D O I
10.1006/jema.2001.0563
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Prediction of construction cost of wastewater treatment facilities could be influential for the economic feasibility of various levels of water pollution control programs. However, construction cost estimation is difficult to precisely evaluate in an uncertain environment and measured quantities are always burdened with different types of cost structures. Therefore, an understanding of the previous development of wastewater treatment plants and of the related construction cost structures of those facilities becomes essential for dealing with an effective regional water pollution control program. But deviations between the observed values and the estimated values are supposed to be due to measurement errors only in the conventional regression models. The inherent uncertainties of the underlying cost structure, where the human estimation is influential, are rarely explored. This paper is designed to recast a well-known problem of construction cost estimation for both domestic and Industrial wastewater treatment plants via a comparative framework. Comparisons were made for three technologies of regression analyses, including the conventional least squares regression method, the fuzzy linear regression method, and the newly derived fuzzy goal regression method. The case study, incorporating a complete database with 48 domestic wastewater treatment plants and 29 industrial wastewater treatment plants being collected in Taiwan, Implements such a cost estimation procedure in an uncertain environment. Given that the fuzzy structure in regression estimation may account for the inherent human complexity in cost estimation, the fuzzy goal regression method does exhibit more robust results in terms of some criteria. Moderate economy of scale exists in constructing both the domestic and industrial wastewater treatment plants. Findings indicate that the optimal size of a domestic wastewater treatment plant is approximately equivalent to 15 000 m(3)/day (CMD) and higher in Taiwan. Yet the optimal size of an industrial wastewater treatment plant could fall in between 6000 CMD and 20 000 CMD. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:383 / 409
页数:27
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