scholarly journals Invasive Alien Plants and Invasion Risk Assessment on Pingtan Island

2022 ◽  
Vol 14 (2) ◽  
pp. 923
Author(s):  
Minxian Luo ◽  
Lifang Xiao ◽  
Xuhui Chen ◽  
Kaiqin Lin ◽  
Bao Liu ◽  
...  

Pingtan Island is the largest island in Fujian Province and the fifth largest island in China. The invasion of a large number of alien plants has had a profound impact on the local ecological environment. Because the harm caused by alien invasive plants varies greatly between different ecosystems and even in different habitats, the risk assessment index system suitable for one region may not be suitable for other regions. Therefore, it is necessary to establish a risk assessment index system for invasive alien plants on Pingtan Island. Alien plant communities in different habitats were studied by means of quadrat investigation and professional literature review. Some invasive alien species were selected and compiled into a list of invasive alien plants on Pingtan Island, and their species composition, origin, flora, life forms, and habitats were statistically grouped. There were 104 species in 80 genera and 37 families of alien invasive plants. Asteraceae, Fabaceae, Amaranthaceae, and Poaceae were the main families, accounting for 26.7%, 6.7%, 6.7% and 5.8% of the total species, respectively. The geographical components of families and genera have obvious tropical properties, accounting for 51.3% and 66.6% of the total species, respectively. These originated mainly from South America and North America, accounting for 45.5% and 30.1% of the total frequency, respectively. Annual herbs, biennial herbs, and perennial herbs accounted for 84.6% of the total species. Based on a DPSIR conceptual model and an AHP method, an invasion risk assessment of 104 invasive alien plants was conducted. The ecological adaptability, habitat distribution and landscape impact of species were considered in the selection of indicators and the formulation of standards. A total of 23 high-risk invasive species were identified at level I, 37 medium-risk invasive species at level II, and 44 low-risk invasive species at level III. Lantana camara L. had the highest risk score (49), followed by Cenchrus echinatus L. (45), Spartina alterniflora Loisel. (45), and Panicum repens L. (43.5). Suggestions are put forward to prevent the invasion of alien plants on Pingtan Island and to provide a theoretical basis for promoting the healthy and stable development of the ecological environment on the island.

Author(s):  
Ruzhen Luo ◽  
Chunmei Zhang ◽  
Yanhui Liu

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.


2016 ◽  
Vol 53 (2) ◽  
pp. 326-342 ◽  
Author(s):  
Guo-Hua Zhang ◽  
Yu-Yong Jiao ◽  
Li-Biao Chen ◽  
Hao Wang ◽  
Shu-Cai Li

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.


2012 ◽  
Vol 446-449 ◽  
pp. 2162-2167
Author(s):  
Su Ping Huang

The safety management of tower cranes is a systematic engineering. Focused on the complexity and uncertainty of the safety evaluation of tower cranes, D-S evidence theory is applied to evaluate the the safety conditions of tower cranes in service, the safety risk assessment index system of tower cranes is built and the specific and improved algorithm of the evidence theory is given. through example calculation, this method is proved is feasible, effective and applicable in the safety evaluation of tower cranes.


2012 ◽  
Vol 629 ◽  
pp. 778-783
Author(s):  
Ke Pan ◽  
Shouan Guan

Railway siding for transport of hazardous materials is an important way in transporting of hazardous materials in China and they often result in catastrophic consequences for environment and society with a great deal of economic loss. Risk assessment for railway siding is an effective way to ensure its operational safety. This paper focuses on the application of self-organizing neural network (SOMNN) to assess the risk of the railway siding operational system and classify its risk factors. In this work, the system analysis method based on the characteristics of railway siding for hazardous materials is first used to establish the transport risk assessment index system. A comprehensive risk assessment model of railway siding has been developed with the SOMNN theory to improve present methods available for risk assessment of rail siding’s safety. A field case study about 15 railway slides for transporting of oil in Jilin broach center of China National Petroleum Corporation is undertaken so that the effectiveness of the proposed approach could be verified. The result is in line with the actual situation and indicates that this method used is feasible and rational. This model provides a new method for transport risk assessment of hazardous materials by rail. The method is also proved more efficient for both risk assessment and safety management. The work specified in this paper can be as reference to the assessment work in China.


2011 ◽  
Vol 368-373 ◽  
pp. 3180-3183
Author(s):  
Zhang Jun Liu ◽  
Ya Kong

In the present paper, the fuzzy probability method is applied to assess the risk of international engineering project. Firstly, According to the risk from the whole cycle of international engineering project, The influential factors of the project bidding risk assessment are analyzed. The risk of international engineering project is divided into four parts, such as national risk, industrial risk, involved parties risk and project’s risk, and an assessment index system of international project risk is constructed. Secondly, based on the fuzzy probability method, a new model of the risk assessment for international engineering project is developed. In order to assess index weighted value scientifically, the analytical hierarchy process (AHP) is introduced into the fuzzy weighted values. Finally, the validity and rationality of the risk evaluation for international engineering project is verified through the risk instance of a project.


Sign in / Sign up

Export Citation Format

Share Document