A new approach combining the certainty factor(CF) and analytic hierarchy process(AHP) methods was proposed to assess landslide susceptibility in the Ziyang district, which is situated in the Qin-Ba Mountain region, Ch...A new approach combining the certainty factor(CF) and analytic hierarchy process(AHP) methods was proposed to assess landslide susceptibility in the Ziyang district, which is situated in the Qin-Ba Mountain region, China. Landslide inventory data were collected based on field investigations and remote sensing interpretations. A total of 791 landslides were identified. A total of 633 landslides were randomly selected from this data setas the training set, and the remaining landslides were used for validation as the test set. Nine factors, including the slope angle, slope aspect, slope curvature, lithology, distance to faults, distance to streams, precipitation, road network intensity degree and land use were chosen as the landslide causal factors for further susceptibility assessment. The weight of each factor and its subclass were calculated by AHP and CF methods. Landslide susceptibility was compared between the bivariate statistical method and the proposed CF-AHP method. The results indicate that the distance to streams, distance to faults and lithology are the most dominant causal factors associated with landslides. The susceptibility zonation was categorized into five classes of landslide susceptibility, i.e., very high, high, moderate, low and very low level. Lastly, the relative operating characteristics(ROC) curve was used to validate the accuracy of the new approach, and the result showed a satisfactory prediction rate of 78.3%, compared to 69.2% obtained with the landslide susceptibility index method. The results indicate that the CF-AHP combined method is more appropriate for assessing the landslide susceptibility in this area.展开更多
In the context of the global“double carbon”goal,this article uses the Analytic Hierarchy Process and Multiple Linear Regression combined with a survey questionnaire to study the issue of carbon literacy among reside...In the context of the global“double carbon”goal,this article uses the Analytic Hierarchy Process and Multiple Linear Regression combined with a survey questionnaire to study the issue of carbon literacy among residents in Chongqing.The weights of each dimension are determined to promote the formation of a good situation of multi-party collaborative promotion and help achieve the“double carbon”goal.The level of carbon literacy reflects the residents’understanding of carbon literacy and has important significance for economic and social operation and environmental protection.The results indicate that the deepening of the concept of carbon inclusiveness and the continuous advancement of technology will lead to a continuous process of improving the carbon inclusiveness literacy of Chongqing residents.Corresponding suggestions are proposed on how to improve the carbon inclusiveness literacy of Chongqing residents,which is of great research significance.展开更多
Value analysis of grain production influencing factors is a complex decision problem. This paper introduced a modified Analytic Hierarchy Process （AHP） accumulation factor, namely Solving Weight by AHP＇s Accumulati...Value analysis of grain production influencing factors is a complex decision problem. This paper introduced a modified Analytic Hierarchy Process （AHP） accumulation factor, namely Solving Weight by AHP＇s Accumulation Factor Sequence Evaluating Data. We used the arithmetical average to replace the expert marking, so that the possible decision mistakes by the subjective judgments could be avoided. We computed the case with this method, which obtained attribute value of 17 influencing factors of the potential food production in Heilongjiang Province, and the result of which was reasonable展开更多
The improved analytic hierachy process method was utilized in this paper,and a variety of factors influencing the food production were classified into several interrelated orderly objectives layers;based on the works ...The improved analytic hierachy process method was utilized in this paper,and a variety of factors influencing the food production were classified into several interrelated orderly objectives layers;based on the works above,this paper made an scientific assessment on the influencing factors of food production and production potential of the various regions in the Songnen Plain.The weights and composite indices were calculated with the method of solving weight by AHP's accumulation factor sequence evaluating data,and were processed by single-level sorting and general sorting.The result showed that,the region of Changchun had the biggest potential for improving food production,but smallest for Heihe region.The key reason for the food production discrepancy of a variety of regions in Songnen Plain is the differences in scale of production and climatic conditions,the weight coefficients of which are 0.3654 and 0.2742;however,the weight coefficients of agricultural science and technology investment is very low just 0.1703,which should be increasted in the future.展开更多
为解决当前山区高速公路选线过程中存在的影响因素多、参建各方侧重点不同、无法定量描述比选方案等难题,在充分调研中外高速公路及铁路选线影响因素的基础上,系统分析和总结中国山区高速公路选线影响因素,并将其概括为经济、技术、安...为解决当前山区高速公路选线过程中存在的影响因素多、参建各方侧重点不同、无法定量描述比选方案等难题,在充分调研中外高速公路及铁路选线影响因素的基础上,系统分析和总结中国山区高速公路选线影响因素,并将其概括为经济、技术、安全和环境4个方面,共计16个具体影响因子;依托西和—宕昌高速公路工程,组织项目区域所在地方政府、行业主管部门、业主、设计、施工、监理、第三方检测单位及科研院所相关专家共计164人组成专家组,采用层次分析法(analytic hierarchy process,AHP)对16个选线影响因子重要度进行评价。结果表明:环境指标中3个影响因素的综合权重平均分值较高,反映了工程建设领域环保意识的进一步加强。为进一步建立方案比选的优选模型,以依托项目灯塔—蒿林村段路线的方案比选为例,在AHP的基础上运用逼近理想解的排序法(technique for order preference by similarity to idea solution,TOPSIS)对比选方案进行优选,4种比选方案的优越度分别为2.84、0.56、0.72、2.15,即方案1最优。研究成果在全面分析山区高速公路选线影响因素的前提下,采用AHP-TOPSIS综合评判指标体系模型,在充分利用专家经验的同时,又能客观、科学的对比选方案进行最优解排序,较好地解决了山区高速公路选线问题,可为类似线形工程方案的选择提供参考。展开更多
基金financial support from National Natural Science Foundation of China (Grant No. 41272282)National Natural Science Foundation of China-Youth Foundation (Grant No. 41402254)+1 种基金geological disaster survey projects of China Geological Survey (Grant No. 1212011220135, Grant No. DDW2016-01)the Fundamental Research Funds for the Central Universities (Grant No. 310826175030)
文摘A new approach combining the certainty factor(CF) and analytic hierarchy process(AHP) methods was proposed to assess landslide susceptibility in the Ziyang district, which is situated in the Qin-Ba Mountain region, China. Landslide inventory data were collected based on field investigations and remote sensing interpretations. A total of 791 landslides were identified. A total of 633 landslides were randomly selected from this data setas the training set, and the remaining landslides were used for validation as the test set. Nine factors, including the slope angle, slope aspect, slope curvature, lithology, distance to faults, distance to streams, precipitation, road network intensity degree and land use were chosen as the landslide causal factors for further susceptibility assessment. The weight of each factor and its subclass were calculated by AHP and CF methods. Landslide susceptibility was compared between the bivariate statistical method and the proposed CF-AHP method. The results indicate that the distance to streams, distance to faults and lithology are the most dominant causal factors associated with landslides. The susceptibility zonation was categorized into five classes of landslide susceptibility, i.e., very high, high, moderate, low and very low level. Lastly, the relative operating characteristics(ROC) curve was used to validate the accuracy of the new approach, and the result showed a satisfactory prediction rate of 78.3%, compared to 69.2% obtained with the landslide susceptibility index method. The results indicate that the CF-AHP combined method is more appropriate for assessing the landslide susceptibility in this area.
基金Research on the Measurement and Influencing Factors of Carbon Inclusive Literacy of Chongqing Residents under the“ Dual Carbon”Goal(S2024115001011)。
文摘In the context of the global“double carbon”goal,this article uses the Analytic Hierarchy Process and Multiple Linear Regression combined with a survey questionnaire to study the issue of carbon literacy among residents in Chongqing.The weights of each dimension are determined to promote the formation of a good situation of multi-party collaborative promotion and help achieve the“double carbon”goal.The level of carbon literacy reflects the residents’understanding of carbon literacy and has important significance for economic and social operation and environmental protection.The results indicate that the deepening of the concept of carbon inclusiveness and the continuous advancement of technology will lead to a continuous process of improving the carbon inclusiveness literacy of Chongqing residents.Corresponding suggestions are proposed on how to improve the carbon inclusiveness literacy of Chongqing residents,which is of great research significance.
文摘Value analysis of grain production influencing factors is a complex decision problem. This paper introduced a modified Analytic Hierarchy Process （AHP） accumulation factor, namely Solving Weight by AHP＇s Accumulation Factor Sequence Evaluating Data. We used the arithmetical average to replace the expert marking, so that the possible decision mistakes by the subjective judgments could be avoided. We computed the case with this method, which obtained attribute value of 17 influencing factors of the potential food production in Heilongjiang Province, and the result of which was reasonable
文摘The improved analytic hierachy process method was utilized in this paper,and a variety of factors influencing the food production were classified into several interrelated orderly objectives layers;based on the works above,this paper made an scientific assessment on the influencing factors of food production and production potential of the various regions in the Songnen Plain.The weights and composite indices were calculated with the method of solving weight by AHP's accumulation factor sequence evaluating data,and were processed by single-level sorting and general sorting.The result showed that,the region of Changchun had the biggest potential for improving food production,but smallest for Heihe region.The key reason for the food production discrepancy of a variety of regions in Songnen Plain is the differences in scale of production and climatic conditions,the weight coefficients of which are 0.3654 and 0.2742;however,the weight coefficients of agricultural science and technology investment is very low just 0.1703,which should be increasted in the future.
文摘为解决当前山区高速公路选线过程中存在的影响因素多、参建各方侧重点不同、无法定量描述比选方案等难题,在充分调研中外高速公路及铁路选线影响因素的基础上,系统分析和总结中国山区高速公路选线影响因素,并将其概括为经济、技术、安全和环境4个方面,共计16个具体影响因子;依托西和—宕昌高速公路工程,组织项目区域所在地方政府、行业主管部门、业主、设计、施工、监理、第三方检测单位及科研院所相关专家共计164人组成专家组,采用层次分析法(analytic hierarchy process,AHP)对16个选线影响因子重要度进行评价。结果表明:环境指标中3个影响因素的综合权重平均分值较高,反映了工程建设领域环保意识的进一步加强。为进一步建立方案比选的优选模型,以依托项目灯塔—蒿林村段路线的方案比选为例,在AHP的基础上运用逼近理想解的排序法(technique for order preference by similarity to idea solution,TOPSIS)对比选方案进行优选,4种比选方案的优越度分别为2.84、0.56、0.72、2.15,即方案1最优。研究成果在全面分析山区高速公路选线影响因素的前提下,采用AHP-TOPSIS综合评判指标体系模型,在充分利用专家经验的同时,又能客观、科学的对比选方案进行最优解排序,较好地解决了山区高速公路选线问题,可为类似线形工程方案的选择提供参考。
