Study of microalgae cultivation systems based on integrated analytic hierarchy process–life cycle optimization

The purpose of this paper is to establish a complete appraisal system and study on comprehensive environment risk assessment of brownfield reuse in procedure and method through the case of Xishan District, according to life cycle theory. Methods employed include system analysis, analytic hierarchy process and grey evaluation method. The result shows that,(1) The life cycle of brownfield reuse can be divided into three stages which are the confirmation and preparation stage, the control and treatment stage, the maintenance and supervision stage, including policy and legal risk, economic risk, organizational risk, pollution risk, etc, eight elements.(2)the environmental risk of Xishan District is in medium level. Additionally, due to the polluting and complexity of brownfield, it should be respond to the necessary control. It is concluded that the comprehensive environment risk assessment of brownfield reuse has high scientific and practical by using analytic hierarchy process and grey evaluation method.

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Application of Analytic Hierarchy Process Techniques to Streamlined Life-Cycle Analysis of Two Anodizing Processes

Environmental Science & Technology ◽

10.1021/es9807338 ◽

1999 ◽

Vol 33 (9) ◽

pp. 1495-1500 ◽

Cited By ~ 20

Author(s):

Patrick Eagan ◽

Laurence Weinberg

Keyword(s):

Life Cycle ◽

Analytic Hierarchy Process ◽

Life Cycle Analysis ◽

Analytic Hierarchy ◽

Hierarchy Process

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Life-Cycle Performance Assessment and Distress Prediction of Subgrade Based on an Analytic Hierarchy Process and the PSO–LSSVM Model

Applied Sciences ◽

10.3390/app10217529 ◽

2020 ◽

Vol 10 (21) ◽

pp. 7529 ◽

Cited By ~ 1

Author(s):

Qi Li ◽

Yimin Wang ◽

Kunbiao Zhang ◽

Zhiyuan Cheng ◽

Ziyu Tao

Keyword(s):

Life Cycle ◽

Analytic Hierarchy Process ◽

Performance Assessment ◽

Cycle Performance ◽

Support Vector ◽

Analytic Hierarchy ◽

Geological Conditions ◽

Internal And External Factors ◽

Whole Life Cycle ◽

Hierarchy Process

The subgrade performance assessment and targeted maintenance of a highway during operation is very important and challenging. This paper focuses on the performance of the whole life-cycle of a highway subgrade during the operational period. Four roads with different traffic volume and geological conditions were selected; 20 test sections of these 4 roads were examined for a three-year distress survey, and 18 specific subgrade distresses of the 5 assessment objects were tracked and collected. First, based on the analytic hierarchy process (AHP), the subgrade performance of the selected section is evaluated, and the subgrade performance index (SPI) at different time periods is obtained. Then, based on the internal and external factors which affect the subgrade, three algorithms to determine the optimal support vector machine (SVM) model were proposed to train and predict the SPI. The results show that the SPI predicted results based on the data time series and particle swarm optimization–least squares SVM (PSO–LSSVM) model are better than those based on grid search (Grid-SVM) and genetic algorithm (GA-SVM) models. Finally, this paper provides a detailed idea for the rational layout of subgrade life-cycle assessment and decision-making by establishing a subgrade performance assessment–prediction–maintenance–management architecture system.

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