Landslide Risk Level Assessment Based on Erosion-Induced Landslide: A Case Study at Uitm Campus, Selangor

This paper sketches a prototype of web-based landslide prediction service for delivering web-based training. The results show that the proposed landslide GWSC model can effectively compute the landslide risk level in different location, and consequently allow for early-warning, which starts with the sensor in the field and ending with user-opitmized warning messages and action advice.

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INDEX AND RISK LEVEL OF LANDSLIDES ON ROAD AND BRIDGES LOCATED ON NATIONAL ROADS (CASE STUDY: KERINCI DISTRICT AND SUNGAI PENUH CITY, JAMBI PROVINCE)

International Journal of Engineering Technologies and Management Research ◽

10.29121/ijetmr.v8.i6.2021.960 ◽

2021 ◽

Vol 8 (6) ◽

pp. 1-11

Author(s):

Mutiara Sari ◽

Mutiara Yusnidar ◽

Febrian Hadinata

Keyword(s):

Geographical Information ◽

Risk Level ◽

Capacity Assessment ◽

Landslide Risk ◽

Hazard Exposure ◽

External Context ◽

Management Capacity ◽

National Road ◽

The City

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.

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Mapping the Earthquake Landslide Risk, A Case Study in the Sichuan-Yunnan Region, China

Web and Wireless Geographical Information Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-030-60952-8_11 ◽

2020 ◽

pp. 102-107

Author(s):

Xu Jinghai ◽

Bu Lan ◽

Li Bo ◽

Zhou Haijun

Keyword(s):

Landslide Risk ◽

Yunnan Region

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Geomatic-Based Flood Loss Assessment and Its Application in an Eastern City of China

Water ◽

10.3390/w14010126 ◽

2022 ◽

Vol 14 (1) ◽

pp. 126

Author(s):

Youjie Jin ◽

Jianyun Zhang ◽

Na Liu ◽

Chenxi Li ◽

Guoqing Wang

Keyword(s):

Spatial Resolution ◽

Loss Rate ◽

Flash Flood ◽

Economic Loss ◽

Economic Losses ◽

Risk Level ◽

Loss Assessment ◽

Flood Loss ◽

Flood Disasters

Flash-flood disasters pose a serious threat to lives and property. To meet the increasing demand for refined and rapid assessment on flood loss, this study exploits geomatic technology to integrate multi-source heterogeneous data and put forward the comprehensive risk index (CRI) calculation with the fuzzy comprehensive evaluation (FCE). Based on mathematical correlations between CRIs and actual losses of flood disasters in Weifang City, the direct economic loss rate (DELR) model and the agricultural economic loss rate (AELR) model were developed. The case study shows that the CRI system can accurately reflect the risk level of a flash-flood disaster. Both models are capable of simulating disaster impacts. The results are generally consistent with actual impacts. The quantified economic losses generated from simulation are close to actual losses. The spatial resolution is up to 100 × 100 m. This study provides a loss assessment method with high temporal and spatial resolution, which can quickly assess the loss of rainstorm and flood disasters. The method proposed in this paper, coupled with a case study, provides a reliable reference to loss assessment on flash floods caused disasters and will be helpful to the existing literature.

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Understanding of landslide risk through learning by doing: case study of Koroška Bela community, Slovenia

Landslides ◽

10.1007/s10346-018-1110-1 ◽

2018 ◽

Vol 16 (9) ◽

pp. 1681-1690

Author(s):

Mateja Jemec Auflič ◽

Špela Kumelj ◽

Tina Peternel ◽

Jernej Jež

Keyword(s):

Learning By Doing ◽

Landslide Risk

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Probabilistic landslide risk assessment: Case study of Bujumbura

MATEC Web of Conferences ◽

10.1051/matecconf/201825106011 ◽

2018 ◽

Vol 251 ◽

pp. 06011

Author(s):

Gervais Shirambere ◽

Maurice O. Nyadawa ◽

Jean pierre Masekanya ◽

Timothy Nyomboi

Keyword(s):

Risk Assessment ◽

Monte Carlo Simulation ◽

Landslide Risk ◽

Cell Level ◽

Monte Carlo Simulation Technique ◽

Mapping Model ◽

Coulomb Failure ◽

Landslide Risk Assessment ◽

Coulomb Failure Criterion

A spatial probabilistic landslide risk assessment and mapping model has been applied in a data scare region. The probabilistic model is based on a physical model based on Mohr coulomb failure criterion. A Monte Carlo simulation technique is applied to field collected data. The results are integrated and a probability of landslide is obtained at each cell level. The results are compared to a prepared landslide inventory. The overall accuracy of the model is 79.69%.

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The Örebro City Citizen-Oriented E-Government Strategy

Handbook of Research on Strategies for Local E-Government Adoption and Implementation ◽

10.4018/978-1-60566-282-4.ch040 ◽

2009 ◽

pp. 752-772 ◽

Cited By ~ 1

Author(s):

Andreas Ask ◽

Mathias Hatakka ◽

Åke Grönlund

Keyword(s):

Public Management ◽

Success Factors ◽

New Public Management ◽

Risk Level ◽

The Public ◽

Strategic Model ◽

New Public ◽

Critical Issues ◽

Government Project

This chapter discusses practices, opportunities, and challenges in local e-government project management by means of a case study involving interviews, document studies, and an element of action research, over eight months. The analysis against e-government success factors finds seven “critical issues”; political timing, resource allocation, political mandate, distinction between administrative and political responsibilities, coordination of departments, dependence on providers, and use of standards. We found these issues open for local choice, influences of strong individuals and groups, and chance. This is a consequence of the prevailing strategic model for the public sector, New Public Management, which leaves these issues to be filled by negotiations among many actors with different roles, goals, and action space. The general lesson is that there is a need for practical ways of acting strategically to reduce the risk level and increase the ability to implement policy.

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Assessing coastal vulnerability index of tourism site: the case of Mataram Coast

E3S Web of Conferences ◽

10.1051/e3sconf/202015303002 ◽

2020 ◽

Vol 153 ◽

pp. 03002

Author(s):

Aninda W. Rudiastuti ◽

Ati Rahadiati ◽

Ratna S. Dewi ◽

Dewayany Soetrisno ◽

Erwin Maulana

Keyword(s):

Green Infrastructure ◽

Critical Issue ◽

Vulnerability Index ◽

Coastal Areas ◽

Risk Level ◽

Coastal Vulnerability ◽

Coastal Vulnerability Index ◽

Coastal Cities ◽

Tourism Destinations

Many coastal areas and infrastructure suffered from unprecedented hazards such as storms, flooding, and erosion. Thus, it is increasing the vulnerability of urban coastal areas aggravated with the absence of coastal green infrastructure. Given the state of coastal environments, there is a genuine need to appraise the vulnerability of coastal cities on the basis of the latest projected climate scenarios and existing condition. Hence, to asses, the vulnerability level of Mataram coastal, the Coastal Vulnerability Index (CVI) accompanied by pre-assessment of readiness to climate disruption. The CVI used to map coastal into five classes of using GIS. As a case study, this approach applied to Mataram City: one of the tourism destinations in Lombok. Two of sub-districts in Mataram City, Ampenan and Sekarbela, laying in the shorelines have undergone coastal flooding and erosion. One of them, Ampenan sub-district, experienced flooding due to river-discharge and became the most severe location during inundation. Results indicated that along ±9000 meters of Mataram coast possess vulnerability level in moderate to very high-risk level. The assessment also showed that sea-level rise is not the only critical issue but also geomorphology and shoreline changes, the existence of green infrastructure, also human activity parameters took important part to be assessed.

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Assessing the annual risk of vehicles being hit by a rainfall-induced landslide: a case study on Kennedy Road in Wan Chai, Hong Kong

Natural Hazards and Earth System Science ◽

10.5194/nhess-20-1833-2020 ◽

2020 ◽

Vol 20 (6) ◽

pp. 1833-1846 ◽

Cited By ~ 1

Author(s):

Meng Lu ◽

Jie Zhang ◽

Lulu Zhang ◽

Limin Zhang

Keyword(s):

Hong Kong ◽

Failure Probability ◽

Slope Failure ◽

Failure Time ◽

Suggested Method ◽

Risk Level ◽

Annual Number ◽

Failure Data ◽

Moving Vehicles

Abstract. Landslides threaten the safety of vehicles on highways. When analyzing the risk of a landslide hitting moving vehicles, the spacing between vehicles and the types of vehicles on the highway can be highly uncertain and have often been omitted in previous studies. Using a highway slope in Hong Kong as a case study, this paper presents a method for assessing the risk of moving vehicles being hit by a rainfall-induced landslide; this method also allows for the possible number of different types of vehicles hit by the landslide to be investigated. In this case study, the annual failure probability of the slope is analyzed based on historical slope failure data from Hong Kong. The spatial impact of the landslide is evaluated based on an empirical run-out prediction model. The consequences of the landslide are assessed using probabilistic modeling of the traffic, which can consider uncertainties in the vehicle spacing, vehicle types and slope failure time. Using the suggested method, the expected annual number of vehicles and people hit by the landslide can be conveniently calculated. This method can also be used to derive the cumulative frequency–number of fatalities curve for societal risk assessment. Using the suggested method, the effect of factors like the annual failure probability of the slope and the density of vehicles on the risk level of the slope can be conveniently assessed. The method described in this paper can provide a new guideline for highway slope design in terms of managing the risk of landslides hitting moving vehicles.

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