A WebGIS-Based System for Urban Stormwater Risk Analysis Using a Cloud Matter-Element Model

2020 ◽  
Vol 16 (3) ◽  
pp. 80-99
Author(s):  
Junfei Chen ◽  
Cong Yu

The interaction of human activity, climate change, and urbanization gives rise to more frequent urban stormwater disasters, which causes great economic loss in cities. This article presents a prototype of an interactive WebGIS system for urban stormwater risk analysis. The system has a Browse/Server(B/S) structure and uses WebGIS techniques for prototype development. It is based on the theory of disaster system and Cloud matter-element model for risk assessment. The risk results are immediately generated and visualized interactively by rendering risk maps. Finally, two urban stormwater events in Nanjing in 2015 and 2016 were selected to verify the accuracy of the risk assessment. The results show that the intelligence system can effectively assess the risk level and identify the spatial-temporal distribution of urban stormwater risk in Nanjing, China.

Author(s):  
Sanjeev Puri

Risk management for software projects is intended to minimize the chances of unexpected events, or more specifically to keep all possible outcomes under tight management control with making judgments about how risk events are to be treated, valued, compared and combined. It is necessary to have some well-founded infrastructure for the identification of software security risks as well as the application of appropriate controls to manage risks. To be truly beneficial, the risk analysis framework must be granular and practical enough to produce a customizable roadmap of which problems exist, and to rank them in order of severity. The paper a risk assessment framework for a precise, unambiguous and efficient risk analysis with qualitative risk analysis methodologies and tree based techniques by exploiting the synthesis of risk analysis methods with object-oriented modeling, semi-formal methods and tools, in order to improve the security risk analysis of software and security policy implementation of security-cri tical systems to reduce risk levels and optimizequality instructions.


Author(s):  
Sri Aminatun ◽  
Yunalia Muntafi

<em>Located on a hilly topography with a steep slope, highlighted the importance of settlement arrangement based on a landslide risk assessment in Girirejo village, Imogiri, Bantul, Yogyakarta. This study aims to map landslides risk, identify houses in the landslide risk zone, and provide recommendations for settlement arrangements. The research begins with observation, interviews, and focus group discussion. Disaster risk mapping and analysis were carried out through weighting method based on Perka BNPB No.2 of 2012 concerning General Guidelines for Disaster Risk Assessment and a formula with parameters of hazard, vulnerability, and capacity. Results showed the medium to a high-level of landslide risk was dominated by northern and eastern parts of Girirejo (21 families in red-zone, 23 families in yellow-zone), while western and southern regions had a low landslide risk level. This research also provided a formulation of settlements concept for medium and high-risk areas by considering landslides risk analysis study.</em>


2013 ◽  
Vol 726-731 ◽  
pp. 744-749 ◽  
Author(s):  
Yong Chao Shi ◽  
Ai Wu Cao ◽  
Jin Wang

According to the extension of matter element, a quantitative evaluation model of dam risk analysis of multiple parameters is developed. Matter-element model was constructed to assess dam behavior by matter-element transform. The emergency capacity besides safety of dam and failure losses is taken into concerned during the analysis of risk of dam. Finally, a simple example shows that is more reasonable compared with traditional methods.


2020 ◽  
Vol 2020 ◽  
pp. 1-23
Author(s):  
Lingyun Liu ◽  
Jianli Zhou ◽  
Haoxin Dong ◽  
Yao Tao ◽  
Yunna Wu ◽  
...  

Reducing the phenomenon of wind curtailment is essential to improve the level of wind power consumption. Wind power development in China has shifted to southeast region and dispersed wind power has developed rapidly and gradually become the new main force. However, various obstacles limit the smooth progress of dispersed wind power in low wind speed area. An important point is the absence of targeted risk analysis and evaluation methods. Therefore, the principal contribution of this paper is to find out the critical risk factors of such projects and propose the risk assessment model. First, 18 critical risk factors are identified using the constructed five-dimensional risk analysis model. Second, the hesitant fuzzy linguistic term set with credibility is utilized to collect evaluation information on one hand and to improve the multicriteria decision-making methods involved on the other hand. Third, the risk evaluation and ranking for 10 provinces that mainly develop dispersed wind power is carried out. The evaluation results indicate that the risk level of dispersed wind power projects is “Relatively Low” in most study provinces and the risk levels of Guangdong and Fujian are higher. It is worth noting that the consistency between the evaluation results and the distribution of wind resources can be used to guide the formulation of stimulus policies. Besides, the ranking results show some preference for investment choice. Finally, dual sensitivity analysis tests the stability of the model and shows the ranking results under different decision preferences. Scenario analysis gives the possible risk scenarios and evaluation results in the future. This study can provide insightful inspiration to wind power investors, risk management practitioners, and policymakers.


Author(s):  
Aleksandra Sukhova ◽  
Elena Elizareva

Objective: Identifying an accurate quantitative risk assessment. FEC (Fuel and Energy Complex) plants are a high-risk area as they may cause manmade disasters, various accidents, pose a threat to human life and environment. In addition, the Russian energy industry is noted for its high complexity and social responsibility. Its specific feature is that it is not always possible to make an accurate quantitative risk assessment reasonably in advance and its degree determination methods are not well enough developed. In view of the above, there are some difficulties in minimizing the risks and estimating risk management costs. There has been a recent trend in improved current legislation on industrial safety and Rostechnadzor (Federal Environmental, Industrial and Nuclear Supervision Service of Russia) oversight and supervision activity practice toward implementing a risk-based approach using the risk analysis methods. It allows optimizing the methods and frequency of inspections made by regulatory bodies depending on the risk level of facilities supervised. Methods: The (accident) risk analysis is performed as a certain scientific justification set forth using qualitative and quantitative analysis of a potential accident likelihood, consequences of its occurrence, and identification of the weakest points in the engineering system or complex. Using fault tree analysis, this article identifies hazards and assesses the high-pressure gas pipeline loss of containment risk, one of the events possible for an energy provider in operation. Results: Based on the risk analysis, there has been a proposal to replace gland seal valves with bellows seal valves noted for their optimum relationship between the unit reliability, cost and sophistication level. In case the facilities with gland seal valves remain in operation, improved production process monitoring is recommended using gas leak detectors and automatic interlocking devices. Practical importance: The measures proposed will allow minimizing the gas pipeline loss of containment risk.


2012 ◽  
Vol 226-228 ◽  
pp. 2284-2291
Author(s):  
Xia Lin Wang ◽  
Bao Wen Yan

Risk assessment on geological hazards and zoning is the foundation of geological hazards prevention. To solve the problem of uncertainty and incompatibility between quantitative and qualitative indicators, and the deficiencies of the indexes weight method, this paper establishes the model for risk assessment on geological hazards binding the extension theory with the optimal combination weighting method. With the matter-element model of the extension theory, the weight coefficients are calculated by using the optimal combination weighting method that can effectively use the experience of expert judgement and accurately reflect the utility value of the data, and can properly resolve the problem of weight allocation. Then, through calculating the correlation function value and relational degree, determine the actual geological hazard grades of study area. Finally, this paper applies this model in Hanyin County of Shannxi Province and gets the predicting results compared with AHP method and entropy method, and the results conform to the fact. It is proved that extension theory based on optimal combination weighting method is quite effective and available in risk assessment on geological hazards.


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