A New Method of Analyzing Aquifer Water Abundance

2012 ◽  
Vol 170-173 ◽  
pp. 1134-1141
Author(s):  
Chao Han ◽  
Jing Wei Liu ◽  
Guo Liang Li ◽  
Xiao Hua Pan ◽  
Jie Nan Tu
Keyword(s):  
Distribution Density ◽  
Drilling Fluid ◽  
Specific Capacity ◽  
Analytic Hierarchy ◽  
Water Abundance ◽  
Water Capacity ◽  
Geological Conditions ◽  
Main Factors ◽  
Water Bursting ◽  
Hierarchy Process

To prevent water bursting in mining coals and boring tunnels, analysis of water abundance of aquifer has to be done firstly. Based on analysis of main factors that can influence the water abundance of aquifer, five indices were used-aquifer thickness, drilling fluid consumption, structure distribution density, specific capacity and permeability coefficient. And the fuzzy analytic hierarchy process was introduced to determine the weight of each factor. Combining the data management and spatial analysis of GIS, we calculated and estimated the characteristic of water abundance for the study area. Due to the wide variance of water abundance over the whole study area, we set five rates to show the different results. So the study area was divided into five parts whose water capacity from high to low. The division was consistent with the hydro-geological conditions. So our method could be an alternative.

Water abundance analysis of aquifer in coal roof based on grey relational analysis and analytic hierarchy process

2016 ◽  
Vol 11 (2) ◽  
pp. 487-494
Author(s):  
Li Bo
Keyword(s):  
Analytic Hierarchy Process ◽  
Grey Relational Analysis ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Analytic Hierarchy ◽  
Water Abundance ◽  
Relational Analysis ◽  
Major Factors ◽  
Grey Relational ◽  
Hierarchy Process

As water abundance of aquifer of coal roof significantly influences roof water hazard, evaluating and grading the degree of water abundance are important in practical application. By analyzing the influencing factors of water abundance of aquifer, an evaluation index system and a grading standard for the water abundance were established integrating quantitative and qualitative indexes. Meanwhile, according to the grey relation characteristics of the major factors influencing water abundance, a multi-factor evaluation model for water abundance was constructed based on grey relational analysis and analytic hierarchy process. The model can objectively reveal the influences of the multiple factors on the evaluation of water abundance. Furthermore, the method was verified by comprehensively evaluating the water abundance of the aquifer of coal roof in a working face of Pingshuo Coal Mine in Shanxi, China using the model. The method provides basis for the research on the evaluation of water abundance of aquifer in coal roof.

scholarly journals A MULTI-CRITERIA FRAMEWORK FOR OFFICE TENANTS' PREFERENCES AT OFFICE BUILDINGS

2015 ◽  
Vol 19 (3) ◽  
pp. 271-282 ◽  
Author(s):  
Yasmin Mohd ADNAN ◽  
Md Nasir DAUD ◽  
Muhammad Najib MOHAMED RAZALI
Keyword(s):  
Office Buildings ◽  
City Centre ◽  
Relative Importance ◽  
Kuala Lumpur ◽  
Financial Cost ◽  
Analytic Hierarchy ◽  
Office Space ◽  
Main Factors ◽  
Hierarchy Process ◽  
Business Sectors

In order to mitigate the anticipated oversupply of office space, it is necessary to gauge the preference of office occupiers, namely tenants of purpose built office buildings, since these tenants form the indicator of demand for space. In this study, a multi-criteria decision making method (MCDM) – the Analytic Hierarchy Process (AHP) procedure was employed to analyse the relative importance of the main factors chosen by the main sectors of tenants at top grade office buildings in Kuala Lumpur city centre. This study had identified the elicitation of experts’ opinion and tenants’ selection comprises twenty-six important factors for office occupation in Kuala Lumpur city centre, grouped under four main categories: Location, Lease, Building and Financial/Cost. This study then employed AHP to assess the relative importance placed on each category, revealing the varying patterns of preferences when tested on tenants from three main business sectors occupying top grade office buildings. The findings showed that, between the three sectors (Finance/Banking, ICT & Media and Oil & Gas), differences in preference were only slight for most factors but were significant for a few. The findings from this study are insightful in informing decisions on future office provision, particularly in the context of working towards satisfying office tenants’ requirements.

scholarly journals APPLICATION OF AHP (ANALYTIC HIERARCHY PROCESS) FOR DETERMINATION THE AFFECTING MAIN FACTORS IN SOIL EROSION AT SONG BE BASIN

2011 ◽  
Vol 14 (4) ◽  
pp. 41-50
Author(s):  
Ngan Truong Nguyen
Keyword(s):  
Soil Erosion ◽  
Analytic Hierarchy Process ◽  
Plant Cover ◽  
Analytic Hierarchy ◽  
Slope Length ◽  
Factors Affecting ◽  
Erosion Processes ◽  
Two Factors ◽  
Main Factors ◽  
Hierarchy Process

Soil erosion is a global environmental problem. The affecting main factors for soil erosion processes are different due to the specific areas. The calculated results of soil erosion, by Ha Quang Hai and Tran Tuan Tu, demonstrated that Song Be basin is eroded very huge, about 321 tons/ha/year. The article is based on factors proposed by R.P.C Morgan in 2005, using the analytic hierarchy process AHP (Thomas L. Saaty, 1970) to determine the weights for these factors. Since then, the article concluded main factors affecting soil erosion at Song Be basin. Research results showed that the Terrain factor has the largest weight (0.30), followed by two factors: Plant cover (0.29) and Rain (0.28). The article also identified four main factors impacting on the soil erosion at Song Be basin, including: slope, land cover ratio, intensity of rainfall and slope length. These results will be the basis for subsequent studies to adjust USLE model more applicably for erosion characteristics in the researched area.

scholarly journals Ranking the Success Factors to Improve Safety and Growth of Artichoke Medicinal Plant Using Fuzzy Analytic Hierarchy Process

2020 ◽  
Author(s):  
Javad Rezaeian ◽  
F. Talebi ◽  
R. Alizadeh Foroutan
Keyword(s):  
Analytic Hierarchy Process ◽  
Success Factors ◽  
Food Source ◽  
Comprehensive Analysis ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Factors Affecting ◽  
Medium Level ◽  
Main Factors ◽  
Hierarchy Process

Today, the use of herbal medicine like artichoke is rapidly increasing worldwide. The consumption of artichoke as a food source is raising too. Therefore, it is necessary to determine the main factors affecting the growth of this plant which is investigated in this study. A comprehensive analysis of the literature is performed to detect these factors. A fuzzy Analytic Hierarchy Process (AHP) is employed to prioritize the factors. Results indicate that the conditions of irrigation and soil are the most important ones. In addition, the best conditions for artichoke growth are the medium level of irrigation, soil with suitable drainage, low temperature and sufficient sunlight.

Fuzzy Analytic Hierarchy Process to Solve the Child Abuse Problem

2020 ◽  
Vol 5 (4) ◽  
pp. 38-47
Author(s):  
Norpah Mahat ◽  
Nur Farhiyah Zulkofli
Keyword(s):  
Child Abuse ◽  
Mental Health Problems ◽  
Analytic Hierarchy ◽  
Steady Growth ◽  
Illegitimate Child ◽  
Care And Support ◽  
The Family ◽  
Main Factors ◽  
And Gender ◽  
Hierarchy Process

Children always bring so much joy, happiness and laughter to one’s life. Unfortunately, they were al ways being the target to abuse. The effects of child abuse are severe and long - lasting to the victims. While recently Malaysia statistic has reported a sign ificant increment of child abuse cases that have reported in this country. The graph presents a steady growth of these cases without showing any sign of decrement. The victim is only a child, who is innocent, powerless, and incapable to protect themselves without any help, care and support from people around themselves. Hence, this stud y purposed to determine the main factors that contribute to child abuse cases in Malaysia. In this study, FAHP (Fuzzy Analytic Hierarchy Pr ocess) are used to determine the ma in factors that contribute to the child abuse cases in Malaysia. The data was collected from the official portal of the Department of Social Welfare, Ministry of Women, Family and Community Development. The factors used in this study are family dispute, fo llowed boyfriend, unknown, financial problem, negligence of parents or guardian, illegitimate child, stepchild, adopted child or preserved by others during childhood, alcoholic, gambler, drug addicts, abuser suffered mental health problems, abuser was form erly abused and others. Three criteria consist of perpetrators, type of carer occupations and gender of the victim are taken into consideration. The result shows the family dispute was determined as the main factors of child abuse compared to the other fac tors. This finding is very important for the use of the M inistry of W omen, F amily and C ommunity D evelopment responsible for the formulation of policies and guidelines on the development of children, women and families in Malaysia. This effort is expected to reduce the rate of child abuse in turn giving them a better life.

Analytic Hierarchy Process on the Gob Natural Gas Pipeline Risk Assessment

2014 ◽  
Vol 675-677 ◽  
pp. 1371-1375 ◽  
Author(s):  
Jin Dong Wang ◽  
Hai Feng Shen ◽  
Zhen Chao Zhao
Keyword(s):  
Risk Assessment ◽  
Analytic Hierarchy Process ◽  
Evaluation System ◽  
Gas Pipeline ◽  
Ground Movement ◽  
Curvature Radius ◽  
Analytic Hierarchy ◽  
Risk Levels ◽  
Geological Conditions ◽  
Hierarchy Process

The related factors of ground movement and deformation was analyzed in coal mining, geological conditions, Analytic Hierarchy Process to establish a mining methods, mining subsidence formation time, covered lithology, mining depth and thickness ratio, horizontal deformation, curvature radius, inclination, and subsidence value of the gob as the main indicator of the type of evaluation system based on evaluation system divided into different risk levels, and to take appropriate measures to deal with different risk levels. Combined with Second West-East Gas Pipeline Ningshan branch instantiated demonstration showed Hengfa Mined subsidence gas pipeline risk assessment results coincide with the actual impact of the case, to prove that this evaluation method has great practical application guidance.

Analysis of the Power Plant Security Management Capability Based on the ISM and AHP

2014 ◽  
Vol 960-961 ◽  
pp. 1477-1482
Author(s):  
Dong Xiao Niu ◽  
Peng Wang ◽  
Qiong Wang ◽  
Fu Yu Hua ◽  
Feng Wang ◽  
...  
Keyword(s):  
Power Plant ◽  
Influencing Factors ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Security Management ◽  
Structure Model ◽  
Analytic Hierarchy ◽  
Management Capability ◽  
Main Factors ◽  
Hierarchy Process

This paper sets the thermal power plant security management system as the research object. First of all, with the application of the Interpretative Structural Modeling (ISM), we establish a multi-level hierarchical structure model on analysis of the influencing factors of thermal power plant security management. Furthermore, based on the structure model, we use the Analytic Hierarchy Process (AHP) to determine weights of all the influencing factors, in order to identify the main factors. Finally, according to the identified main factors, we provide several suggestions for security management of thermal power plant.

scholarly journals Analysis of Strategy to Improve the Quality of "the Last Kilometer" Distribution Service

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Guangqian Xin
Keyword(s):  
Analytic Hierarchy Process ◽  
Online Shopping ◽  
Analytic Hierarchy ◽  
Delivery Service ◽  
Quality Of Delivery ◽  
Main Factors ◽  
Hierarchy Process ◽  
Express Delivery

Due to the rise of modern online shopping, it has become an important force to promote the development of e-commerce. E-commerce is growing rapidly, the volume of express delivery business has increased , the quality of "last kilometer" delivery service is particularly important. In this paper, analytic hierarchy process (AHP) is used to find out the main factors of affecting the quality of delivery service in the "last kilometer ", so as to put forward the strategy of improving the quality of distribution service.

Research on the Occurrence Mechanism and Evaluation of Coal Mine Accidents

2013 ◽  
Vol 295-298 ◽  
pp. 2889-2892
Author(s):  
Qi Zeng ◽  
Yan Yan Wu
Keyword(s):  
Analytic Hierarchy Process ◽  
Hierarchical Structure ◽  
Coal Mine ◽  
Structure Model ◽  
Analytic Hierarchy ◽  
Main Factors ◽  
Mine Accidents ◽  
Occurrence Mechanism ◽  
Causation Analysis ◽  
Hierarchy Process

Based on the analysis of the coal mine accidents dangerous sources and essential factors of occurrence mechanism, the coal mine accidents causation model is built by combing with system security theory and dangerous sources theory. This paper analyzes a large number of accidents causation factors and screens the main factors; finally the coal mine accidents hierarchical structure model is constructed. What’s more, combined with examples, the fuzzy analytic hierarchy process is applied to evaluate the accidents causation analysis.

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

2020 ◽  
Vol 10 (21) ◽  
pp. 7529 ◽  
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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