scholarly journals Investigation of ecological environment and assessment of ecological security in Tieshan Reservoir watershed

2022 ◽  
Vol 355 ◽  
pp. 02069
Author(s):  
Na Wang ◽  
Ying Wang ◽  
Zhan Liu
Keyword(s):  
Index System ◽  
Assessment Model ◽  
Security Level ◽  
Ecological Security ◽  
The Sustainable Development ◽  
Assessment Index ◽  
Green Tourism ◽  
Assessment Index System ◽  
Security Index ◽  
Reservoir Watershed

In this study, based on the “Driver-Pressure-State-Impact-Response” (DPSIR) assessment model, an assessment index system aming at the Tieshan Reservoir watershed was established from 4 aspects including social-economic impact, ecological subsystem, ecological service subsystem, regulation and management. Eighteen major items containing 55 indexes were selected in the assessment index system. Furthermore, the ecological security index (ESI) was calculated, and the deviation degree of reservoir ecological safety from the standard state was assessed. Results showed that ecological security index of Tieshan Reservoir watershed is 89, ecological security level is I , indicating security. The low security indexes of total phosphorus and total nitrogen were the major disadvantage factors that affected the ecological security of Tieshan Reservoir watershed, including rural life pollution and farmland runoff pollution. In addition, long-term mechanism of protection and development has not been formed yet, which also restricts the economic growth. Strengthening the formulation of laws and regulations on environmental protection, tamping the basic capacity building of water pollution control, developing ecological agriculture and green tourism are the important ways to improve the ecological security and realize the sustainable development of Tieshan Reservoir watershed.

Analytical model for assessing collapse risk during mountain tunnel construction

2016 ◽  
Vol 53 (2) ◽  
pp. 326-342 ◽  
Author(s):  
Guo-Hua Zhang ◽  
Yu-Yong Jiao ◽  
Li-Biao Chen ◽  
Hao Wang ◽  
Shu-Cai Li
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Index System ◽  
Assessment Model ◽  
Tunnel Construction ◽  
Assessment Index ◽  
Assessment Index System ◽  
Geological Prediction ◽  
Tunnel Collapse ◽  
Mountain Tunnel

Risk management for safety in mountain tunnel construction is of great significance. However, existing research lags behind engineering applications. In this paper, the risk of mountain tunnel collapse is used as an example to illustrate a new assessment method based on case-based reasoning, advanced geological prediction, and rough set theory. First, the risk surroundings and risk factors involved in tunnel collapse are integrated and summarized, and a risk assessment index system is established for tunnel collapse. At the same time, because the dynamic response parameters obtained by the advanced geological prediction usually indicate a typical geological structure, sensitive response parameters are introduced in the assessment index system. Advanced risk assessment can be performed for tunnel sections at a certain distance ahead of the tunnel face. Second, the major risk surroundings and the advanced geological prediction results are analyzed for the tunnel under assessment. Cases with similar attribute characteristics are selected via comparison with previous cases. Attribute reduction and calculation of weights are subsequently performed for the risk surroundings and risk factors of similar cases based on the attribute significance theory of rough sets. Finally, index screening and objective weights are applied in the fuzzy comprehensive assessment model. The results of this paper can be used to improve the theoretical level and reliability of risk assessment in tunnel safety and serve as a reference for tunnel construction.

Study on Risk Assessment Index System of Public Safety in the Railway Station Region

2014 ◽  
Vol 955-959 ◽  
pp. 1873-1876
Author(s):  
Jing Zhao Zhang ◽  
De Wen Li ◽  
Hong Gang Wang
Keyword(s):  
Risk Assessment ◽  
Index System ◽  
Public Safety ◽  
System Security ◽  
Security Level ◽  
Analytic Hierarchy ◽  
Railway Station ◽  
Assessment Index ◽  
Assessment Index System ◽  
Special Circumstances

Based on the special circumstances of public safety at the railway station region, the risk assessment index system of public safety in this area is built. Analytic Hierarchy Process is selected as the method of decision making and comprehensive assessment. Taking the characteristics and pattern of historic development of the public safety situation in Xi’an railway station region, the rationality of index weights is verified. Then, the risk assessment of public safety in Xi’an railway station region is conducted through expert investigation and grading. The results show that the system security level of Xi’an railway station region is grade II, the evaluation scores of B1, B2 and B3 are 83.5, 84.4 and 87.8 respectively, the indexes of index layer whose system security level in grade I contain C9, C14, C23, C24, C29, C30, C32 and C35.

scholarly journals A Study on RB-XGBoost Algorithm-Based e-Commerce Credit Risk Assessment Model

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Weimin Yang ◽  
Lili Gao
Keyword(s):  
Risk Assessment ◽  
Credit Risk ◽  
Index System ◽  
Operating Characteristic ◽  
Evaluation Index System ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Assessment Index ◽  
Credit Risk Assessment ◽  
Assessment Index System

The current method’s e-commerce credit risk assessment is prone to poor data balance and low evaluation accuracy. An RB-XGBoost algorithm-based e-commerce credit risk assessment model is proposed in this study. The adaptive random balance (RB) method is used to sample and process the obtained data to improve the balance degree of the data. An assessment index system is constructed based on the processed data. Based on the risk evaluation index system and the XGBoost algorithm, this paper constructed an e-commerce risk assessment model and assessed the e-commerce credit risk using this model. The experimental results show that the proposed method has good data balance, a high kappa coefficient, and a large receiver operating characteristic (ROC) curve area, which can effectively improve e-commerce credit risk assessment accuracy.

scholarly journals A new risk assessment model for agricultural products cold chain logistics

2017 ◽  
Vol 117 (9) ◽  
pp. 1800-1816 ◽  
Author(s):  
Hao Zhang ◽  
Bin Qiu ◽  
Keming Zhang
Keyword(s):  
Risk Assessment ◽  
Index System ◽  
Assessment Method ◽  
Agricultural Products ◽  
Assessment Model ◽  
Cold Chain ◽  
Content Type ◽  
Assessment Index ◽  
Assessment Index System ◽  
Catastrophe Progression

Purpose The purpose of this paper is to develop a quantitative risk assessment method for agricultural products cold chain logistics to assess the condition of the fresh agricultural products cold chain process objectively and accurately. Design/methodology/approach A risk assessment index system of agricultural products cold chain logistics is designed on the basis of the risk identification for the process of agricultural products cold chain logistics. This paper first uses catastrophe progression method and a new maximum deviation method to build an improved catastrophe progression assessment model for agricultural products cold chain logistics. In order to verify the reliability and validity of the model, two representative enterprises are selected as the case in the study. Findings The results in the empirical research indicate strong support for the assessment model and coincide with the reality. The risk assessment index system can also reflect the key risk factors from agricultural products cold chain logistics scientifically. In addition, the improved catastrophe progression assessment method proposed in this paper can be scientific and reasonable to predict risk. Research limitations/implications This paper contributes to provide a new risk assessment model for agricultural products cold chain logistics. The new model overcomes the limitation of subjective empowerment and it increases the objectivity and scientificity in the process of cold chain logistics risk assessment. This paper also shows that practitioners involved in the field of products cold chain logistics can manage the potential risk by a set of scientific methods for assessing the risk before the accident. Practical implications The paper provides a practical guideline to practitioners, especially for cold chain logistics managers, relevant management departments, and cold chain logistics management consultants. It is proved that the new risk assessment method and the risk assessment index system of agricultural products cold chain logistics can help them assess the risk scientifically and reasonably. Originality/value Although the calculation is simple, the new model can overcome the limitation of subjective empowerment scientifically and reasonably, and thus has important practical value.

scholarly journals Health Risk Assessment Indicators for the Left-Behind Elderly in Rural China: A Delphi Study

2020 ◽  
Vol 17 (1) ◽  
pp. 340 ◽  
Author(s):  
Ruzhen Luo ◽  
Chunmei Zhang ◽  
Yanhui Liu
Keyword(s):  
Risk Assessment ◽  
Health Risk ◽  
Health Risk Assessment ◽  
Delphi Study ◽  
Index System ◽  
Urban Areas ◽  
Health Management ◽  
Assessment Index ◽  
Left Behind ◽  
Assessment Index System

In China, many young and middle-aged rural residents move to urban areas each year. The rural elderly are left behind. The number of the rural left-behind elderly is increasing with urbanization, but it is unclear which indicators can be used to assess their health condition. The health risk assessment index system was developed to improve the health level of the rural left-behind elderly. A two-round web-based Delphi process was used to organize the recommendations from fifteen Chinese experts in geriatrics, health management, social psychology who participated in this study. Meaningfulness, importance, modifiability, and comprehensive value of the health risk assessment indicators in the index system were evaluated. The effective recovery rates of the two-round Delphi were 86.67% and 92.31%, respectively. The judgement coefficient and the authority coefficient were 0.87 and 0.82, respectively. The expert familiarity was 0.76. Ultimately, the health risk assessment index system for the rural left-behind elderly consisted of five first-level indicators, thirteen second-level indicators, and sixty-six third-level indicators. The final indicators can be used to evaluate the health of the rural left-behind elderly and provide the basis for additional health risk interventions.

Elementary Analysis on Construction of Assessment Index System of Cleaner Production of Cheese Dyeing Enterprises

2012 ◽  
Vol 268-270 ◽  
pp. 2031-2034
Author(s):  
Zheng Li ◽  
Ding Gui Luo
Keyword(s):  
Delphi Method ◽  
Index System ◽  
Cleaner Production ◽  
Analytic Hierarchy ◽  
Assessment Index ◽  
Elementary Analysis ◽  
Assessment Index System ◽  
Standard Value ◽  
Hierarchy Process ◽  
Different Levels

The concrete assessment index of cheese dyeing enterprises’ cleaner production is filtered out by the classic Delphi method (Delphi) of expert evaluation. According to the characteristic of Analytic Hierarchy Process (AHP),we have identified the different levels. Finally, assessment index system was established and the weight of each index and standard value were also determined. The cleaner production level can be evaluated eventually more intuitively. So it can provide the technical support and guidance for cleaner production assessment of Cheese Dyeing Enterprises and realize a sustainable development of this kind of enterprises.

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