scholarly journals Indeks dan Tingkat Risiko Bahaya Longsor pada Ruas Jalan Nasional di Kabupaten Kerinci dan Kota Sungai Penuh, Provinsi Jambi

CANTILEVER ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 53-61
Author(s):  
Mutiara Sari ◽  
Mona Foralisa Toyfur ◽  
Febrian Hadinata

The Regency of Kerinci and The City of Sungai Penuh are areas that prone to landslides. In 2021 and 2021, were 13 landslides on national road sections in both, which disrupted access to both areas. This study aims to calculate the index and determine the risk level of landslides on roads and bridges on national roads in both regions. Assessment methods and variables are taken based on the Guidelines for the Implementation of Risk Analysis for Natural Disasters Affecting Roads and Bridges. The index and risk level assessment are carried out by analyzing the risk factors for landslides, namely: hazard, exposure, vulnerability, external context, and capacity. The mapping of landslide risk based on Geographic Information Systems is based on scoring and weighting in all parameters, as well as overlays among all the constituent parameters. Based on the results of the study on ten national roads (with a total road length of 82.50 km) in the study area into two classes, namely: (a) low class (= 8.72%) on 7 roads located within the city, and (b) medium class (= 91.28%) on three roads connecting the cities.

Author(s):  
Mutiara Sari ◽  
Mutiara Yusnidar ◽  
Febrian Hadinata

The regency of Kerinci and The city of Sungai Penuh are among the areas prone to landslides, which can impact roads and bridges on national roads. This study aims to determine the index and risk level of landslides on roads and bridges located on national roads in both regions. The index and risk level assessment are carried out by analyzing disaster risk factors, namely: hazard, exposure, vulnerability, external context and capacity. Assessment methods and variables are taken based on the Guidelines for the Implementation of Risk Analysis for Natural Disasters Affecting Roads and Bridges. The mapping of landslide risk based on the Geographical Information System is compiled based on scoring and weighting all parameters, as well as an overlay among all constituent parameters. Based on the sampling results of ten samples of national road sections in the Kerinci Regency and Sungai Penuh City, the risk level of hazard, exposure, vulnerability, external context and road management capacity is divided into two classes, namely the Low class about 7.19 km (= 8.72 %) with seven short roads located within the city and the Medium class, which is 75.31 Km (= 91.28 %), with three roads connecting the cities.


2019 ◽  
Vol 11 (21) ◽  
pp. 5898 ◽  
Author(s):  
Mendoza ◽  
Schwarze

Disaster damages and losses have been increasing in recent decades, highlighting the need to learn from past events. Only a better understanding of the fundamental causes of disasters and their impacts on society can lead to effective prevention and reduction of disaster risk. In this context, disaster forensics focuses on the analysis and interaction of risk factors (i.e., hazard, exposure and vulnerability) and the identification of underlying causes, in order to tackle them through dedicated action. In this work, we explore the results of disaster forensics through a case study of subsequent floods in 2002 and 2013 in the city of Grimma, Saxony, in Germany. Risk factors are investigated to identify their contribution in increasing or reducing disaster damage, in conjunction with socio-economic impacts in the mostly affected inner city of Grimma. In particular, we analyze (i) what data is needed to conduct a disaster forensic analysis and (ii) how much the sequential application of disaster forensics contributes to a better understanding of risk and the identification of the causes of disasters impacts. The analysis shows that the sequential approach for disaster forensics is key for understanding cause–effect relationships regarding socio-economic impacts.


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>


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.


2014 ◽  
Vol 635-637 ◽  
pp. 424-429 ◽  
Author(s):  
Yong Zhou ◽  
San Ming Wang

Obtain the weight of risk factors at all levels based on AHP analysis model,optimize the third edition of Pipeline Risk Management Manual to establish a new index system.Bring in the matter-element and extension model,according to the established index system and expert scoring results , calculate the correlation function values of each risk characteristics to each of the risk levels,using the figures to reach the risk level of the city pipeline.Through living example shows that this evaluation method is correct.Compared with the general evaluation method,the matter-element and extension analysis model overall consider the weight of the risk factors,expert score and the grade index system.This evaluation method is more accurate compared with the general evaluation.


2021 ◽  
Vol 884 (1) ◽  
pp. 012023
Author(s):  
R Noviani ◽  
P Wijayanti ◽  
C Muryani ◽  
Ahmad ◽  
Sarwono ◽  
...  

Abstract Karanganyar Regency is one of the districts in Central Java which prone of the natural disasters. Based on data Posdes 2018, it is known that the types of disasters that often occurred in Karanganyar Regency during the last three years, from 2015 to 2017 were landslides, floods, and drought. Therefore, it is important to know the multi-risk level of the three types of disasters. The method used in this research is scoring and weighting, as well as overlay between constituent parameters. Based on the results of research using the VCA matrix multiplication method, it is known that the high risk level covers 3,589.67 Ha or 4.46% areas that spread in 15 districts (except Jatipuro and Jumapolo); moderate risk level covers 34,624.94 Ha or 43.04% areas that spread in 16 districts (except Tasikmadu); The low risk level covers 42,254.98 Ha or 52.53% areas that spread in 7 districts (Colomadu, Gondangrejo, Tasikmadu, Matesih, Tawangmangu, Jumapolo, Jatiyoso).


2012 ◽  
Vol 11 (1) ◽  
Author(s):  
Wisyanto Wisyanto

Gradually, the land that can be cultivated or used will lessen, moreover in a city that is growing rapidly. The situation has forced local government to plan the use of any land conscientiously. Formerly, local government plans the land just for beautifulness of a city and for practicality of transportation system without consideration of natural disaster mitigation. Natural disasters have damaged social and economic infrastructure and also killed people of many regions. The long term consequences of natural disasters are especially severe for developing countries and hamper the achievement of their sustainable development. Spatial planning that based on disaster mitigation has been done in The Coast of Kota Agung. The planning has been made through evaluation of the existing city planning by comparing it with the result of tsunami risk analysis. From the tsunami risk analysis, it has been known the volume of potential losses of threatened object per area units in the Coast of Kota Agung. By knowing their vulnerability and the level of risk, we have improved the existing city planning. It is hoped that the city planning that based on disaster risk analysis would make Kota Agung to be a city that will develop properly and safer from tsunami threatening.


2021 ◽  
Author(s):  
Mariano Di Napoli ◽  
Pietro Miele ◽  
Luigi Guerriero ◽  
Mariagiulia Annibali Corona ◽  
Domenico Calcaterra ◽  
...  

In the last decades, developing countries have experienced an increase in impact of natural disasters due to both the ongoing climate change and the sustained expansion of urban areas. Intrinsic vulnerability of settlements due to poverty and poor governance, as well as the lack of tools for urban occupation planning and mitigation protocols, have made such impact particularly severe. Cuenca (Ecuador) is a significant example of a city that in the last decades has experienced considerable population growth and an associated increasing of loss due to landslide occurrence. Despite such effects, updated urban planning tools are absent, a condition that suggested an evaluation of multi-temporal relative landslide risk, here presented based on updated data depicting the spatial distribution of landslides and their predisposing factors, as well as population change between 2010 and 2020. In addition, a multi-temporal analysis accounting for risk change between 2010 and 2020 has been carried out. Due to the absence of spatially distributed data about the population, electricity supply contract data have been used as a proxy of the population. Results indicate that current higher relative risk is estimated for municipalities (parroquias) located at the southern sector of the study area (i.e. Turi, Valle, Santa Ana, Tarqui and Paccha). Moreover, the multi-temporal analysis indicates that most municipalities of the city located in the hilly areas that bound the center (i.e. Sayausi, San Joaquin, Tarqui, Valle, Sidcay, Banos, Sidcay, Ricaurte, Paccha and Chiquintad), experiencing sustained population growth, will be exposed to an increased risk with a consistently growing trend. This information is consistent with landslide susceptibility data derived by a machine learning-based analysis that indicate higher susceptibility to landslides in hilly areas surrounding the city center. The obtained relative risk maps can be considered as a useful tool for guiding land-planning, occupation restriction and early warning strategy adoption. The used methodological approach, accounting for landslide susceptibility and population variation through proxy data analysis, has the potential to be applied in a similar context of growing-population cities of low to mid-income countries, where data, usually needed for a comprehensive landslide risk analysis, are only partly available.


2008 ◽  
Vol 149 (15) ◽  
pp. 677-684 ◽  
Author(s):  
Csaba Arnold ◽  
Zoltán Englert ◽  
Csaba Szabadhegyi ◽  
Csaba Farsang

Authors constructed a software helping the prevention programme of coronary and vascular diseases as the classical risk factors are used for graphic presentation of coronary risk as compared to “normal” risk. By repeated estimation alterations in coronary risk status can be compared to previous ones and thereby help evaluating the changes. This programme is highlighted by the presentation of changes in coronary risk of a patient during a 4-year-long period of her medical history. It is also shown how graphic presentation of risk can support the more effective treatment and patient care.


2021 ◽  
pp. bjsports-2020-103131
Author(s):  
Celeste Geertsema ◽  
Liesel Geertsema ◽  
Abdulaziz Farooq ◽  
Joar Harøy ◽  
Chelsea Oester ◽  
...  

ObjectivesThis study assessed knowledge, beliefs and practices of elite female footballers regarding injury prevention.MethodsA survey was sent to players participating in the FIFA Women’s World Cup France 2019. Questions covered three injury prevention domains: (1) knowledge; (2) attitudes and beliefs; (3) prevention practices in domestic clubs. Additionally, ACL injury history was assessed.ResultsOut of 552 players, 196 women responded (35.5%). More than 80% of these considered injury risk to be moderate or high. Players listed knee, ankle, thigh, head and groin as the most important injuries in women’s football. The most important risk factors identified were low muscle strength, followed by poor pitch quality, playing on artificial turf, too much training, reduced recovery and hard tackles. In these elite players, 15% did not have any permanent medical staff in their domestic clubs, yet more than 75% had received injury prevention advice and more than 80% performed injury prevention exercises in their clubs. Players identified the two most important implementation barriers as player motivation and coach attitude. Two-thirds of players used the FIFA 11+ programme in their clubs.ConclusionsThis diverse group of elite players demonstrated good knowledge of risk level and injury types in women’s football. Of the risk factors emphasised by players, there was only one intrinsic risk factor (strength), but several factors out of their control (pitch quality and type, training volume and hard tackles). Still players had positive attitudes and beliefs regarding injury prevention exercises and indicated a high level of implementation, despite a lack of medical support.


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