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收集所有交通大學研究人員與學生個人或團體所發表之各項學術著作，涵蓋期刊論文、教師專書、學位論文等項。;;Collections of Publications of NCTU Researchers and Students Like Journal Papers and Thesis.

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A raster-based C program for siting a landfill with optimal compactness
(1996-10-01)
Kao, JJ
;
環境工程研究所
;
Institute of Environmental Engineering
Landfill siting requires performing spatial analyses for various factors to evaluate site suitability. A geographical information system, although capable of effectively manipulating spatial data, lacks the capability to locate an optimal site when compactness and other factors are considered simultaneously. In our previous work, a mixed-integer compactness model was proposed to overcome this difficulty. However, computational time with a conventional mixed-integer programming package for solving the model is time consuming and impractical. Therefore, in this work, a C program is developed, based on a proposed raster-based branch-and-bound algorithm. The program can implement multi-factor analyses for compactness and other siting factors with weights prespecified by the user. An example is provided to demonstrate the effectiveness of the program. Copyright (C) 1996 Elsevier Science Ltd
A multiobjective model for non-point source pollution control for an off-stream reservoir catchment
(2003)
Kao, JJ
;
Chen, WJ
;
環境工程研究所
;
Institute of Environmental Engineering
Phosphorus loads from agricultural non-point source pollution (NPSP) significantly degrade reservoir water quality, making adequate control of agricultural NPSP necessary for improving the water quality. Controlling NPSP is generally accomplished using various Best Management Practices (BMPs). The present study applies the Agricultural Non-Point Source Pollution (AGNPS) model to simulate NPSP loading and BMP efficiencies and establishes an enhanced multiobjective mixed-integer programming model for NPSP control strategy analyses based on these results. Cost, phosphorus load, sediment load and equity are the four major objectives considered. A case study for the Posan reservoir is presented. Four commonly proposed and applicable BMPs are chosen. Non-inferior solutions obtained using the constraint method and trade-off relationships among different control objectives are described and discussed. Compared with a previously proposed fertilizer control model, results show that the model established herein is more cost-effective and achieves better phosphorus and sediment loading reduction and equity goals. Furthermore, the current model is expected to facilitate decision-making analysis for development of an appropriate cost-sharing program to encourage adoption of appropriate BMPs by farmers.
Utilizing multiobjective analysis to determine an air quality monitoring network in an industrial district
(2006-02-01)
Kao, JJ
;
Hsieh, MR
;
環境工程研究所
;
Institute of Environmental Engineering
An industrial district with polluting factories operating inside poses a potential threat to the air quality in the surrounding areas. Therefore, establishing a proper air quality monitoring network (AQMN) is essential for assessing the effectiveness of imposed pollution controls, strategies, and facilities in reducing pollutants. The geographic layout of such an AQMN should assure the quality of the monitored data. Monitoring stations located at inappropriate sites will likely affect data validity. In this study, a multiobjective approach was explored for configuring an AQMN for an industrial district. A dispersion model was employed to simulate hourly distribution of pollutant concentrations in the study area. Models optimizing pollution detection, dosage, coverage, and population protection were established. Alternative AQMNs with varied station numbers and spatial distributions were obtained using the models. The resulting AQMNs were compared and evaluated for effectiveness in monitoring the temporal and spatial variation of pollutants. Discussion of the differences among the AQMNs is provided. This multiobjective analysis is expected to facilitate a decision-making process for determining an appropriate AQMN. (c) 2005 Elsevier Ltd. All rights reserved.
Risk analysis for flow duration curve based seasonal discharge management programs
(1996-06-01)
Kao, JJ
;
Bau, SF
;
交大名義發表
;
環境工程研究所
;
National Chiao Tung University
A non-seasonal discharge standard may be too stringent and not cost-effective for a season of large flow, if the variation of seasonal streamflow of a river is significant. Seasonal discharge programs established based on streamflow variation were therefore explored in this work. A design procedure using the dow duration curve method, two total-mass-load based discharge programs, linear programming, and Monte-Carlo analysis is proposed for determining and analyzing the pertinent seasonal division of a two-season discharge management program. The flow duration curve method was used to compute the design low flow. The maximal total waste load and uniform treatment programs were the two total-mass-load based programs analysed. Linear programming models were established to determine the optimal division of seasons based on the objective of maximally allowable total waste load. Monte-Carlo simulation with QUAL2E-UNCAS was implemented to assess the risk of violation of water quality of seasonal programs. The proposed procedure is demonstrated in a case study of the Tung-Kang River basin in Taiwan. Copyright (C) 1996 Elsevier Science Ltd
A raster-based C program for siting a landfill with optimal compactness
(1996-10-01)
Kao, JJ
;
交大名義發表
;
環境工程研究所
;
National Chiao Tung University
;
Institute of Environmental Engineering
Landfill siting requires performing spatial analyses for various factors to evaluate site suitability. A geographical information system, although capable of effectively manipulating spatial data, lacks the capability to locate an optimal site when compactness and other factors are considered simultaneously. In our previous work, a mixed-integer compactness model was proposed to overcome this difficulty. However, computational time with a conventional mixed-integer programming package for solving the model is time consuming and impractical. Therefore, in this work, a C program is developed, based on a proposed raster-based branch-and-bound algorithm. The program can implement multi-factor analyses for compactness and other siting factors with weights prespecified by the user. An example is provided to demonstrate the effectiveness of the program. Copyright (C) 1996 Elsevier Science Ltd

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