Hazard assessment and regionalization of highway flood disasters in China

Yin, Chao

doi:10.1007/s11069-019-03824-9

Cited by 17 publications

(18 citation statements)

References 19 publications

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“…In order to further define the disaster pregnant environment and occurring regulations of HLDs, and provide a database for subsequent calculations, the HLDs inventory was compiled by combining the field survey, visual interpretation of satellite images or aerial photographs and historical reports [1,3,49,50]. 1543 disaster points and 1543 non-disaster points along 9 expressways, 15 national highways and 8 provincial highways in 15 provinces were investigated.…”

Section: Hlds Inventorymentioning

confidence: 99%

“…1543 disaster points and 1543 non-disaster points along 9 expressways, 15 national highways and 8 provincial highways in 15 provinces were investigated. Investigation contents included the stake numbers and values of impact factors of each disaster point and non-disaster point [1,3]. An overview of the highway segments in the HLDs inventory is showed in Table 1, some representative disaster points are showed in Fig 2. According to the findings in the investigation, basic occurring regulations of HLDs can be summarized as below HLDs generally occur on slopes exceed 25˚, the time of occurrence is approximately 2 hours after the start of rainfall to 5 days after the end of rainfall.…”

Section: Hlds Inventorymentioning

confidence: 99%

“…Taking the highway slope as the disaster bearing body and the surrounding environment as the disaster pregnant environment, highway landslide disaster (HLD) is one of the main reasons for long-term highway interruption [1][2][3]. HLDs occur frequently in some areas of China, resulting in serious economic losses and casualties [4], for example, the volume of the K1428+800 landslide of G108 Shaanxi segment exceeded 1×10 5 m 3 , resulting in highway interruption for more than 3 years [5]; the Jiuzhaigou Valley's 7.0-magnitude earthquake led to the formation of 1,594 landslides, covering a total volume of 11.52×10 6 m 3 [6,7]. The prominent regional differentiations of HLDs bring great difficulties in highway planning, designing and disaster mitigation, therefore, a comprehensive understanding of HLDs from the spatial perspective is a basis for reducing damages [1,[8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

“…The prominent regional differentiations of HLDs bring great difficulties in highway planning, designing and disaster mitigation, therefore, a comprehensive understanding of HLDs from the spatial perspective is a basis for reducing damages [ 1 , 8 – 11 ]. Susceptibility mapping and zoning can reveal the spatial differentiations of HLDs and divide China into areas with different susceptible levels, thus to clarify the priorities and protection standards for different areas, and provide theoretical basis for macro mitigation policy formulation [ 3 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

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Susceptibility mapping and zoning of highway landslide disasters in China

Yin

Li²,

Che

et al. 2020

PLoS ONE

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Prominent regional differentiations of highway landslide disasters (HLDs) bring great difficulties in highway planning, designing and disaster mitigation, therefore, a comprehensive understanding of HLDs from the spatial perspective is a basis for reducing damages. Statistical prediction methods and machine learning methods have some defects in landslide susceptibility mapping (LSM), meanwhile, hybrid methods have been developed by combining the statistical prediction methods with machine learning methods in recent years, and some of them were reported to perform better than conventional methods. In view of this, the principal component analysis (PCA) method was used to extract the susceptibility evaluation indexes of HLDs; the particle swarm optimization-support vector machine (PSO-SVM) model and genetic algorithm-support vector machine (GA-SVM) model were implemented to the susceptibility mapping and zoning of HLDs in China. The research results show that the accumulative contribution rate of the four principal components is 92.050%; evaluation results of the PSO-SVM model are better than those of the GA-SVM model; micro dangerous areas, moderate dangerous areas, severe dangerous areas and extreme dangerous areas account for 24.24%, 19.49%, 36.53% and 19.74% of the total areas of China; among the 1543 disaster points in the HLDs inventory, there are 134, 182, 421 and 806 located in the above areas respectively.

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Section: Hlds Inventorymentioning

confidence: 99%

Section: Hlds Inventorymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Susceptibility mapping and zoning of highway landslide disasters in China

Yin

Li²,

Che

et al. 2020

PLoS ONE

Self Cite

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“…Meteorological hazards such as snow, avalanche, and storm mainly create closures, whereas flood as a hydrological hazard, earthquake as a tectonic hazard, and landslide as a cascade and/or geomorphological hazard cause destructions in network's components. While landslide is more expected in rural areas, urban transportation networks are mainly vulnerable due to fluvial floods, tsunamis, and seismic phenomena (Yin 2020;Koks et al 2019). To impede the transformation of hazards to a disaster in the transportation system, owners and operators of infrastructures invest in optimized decisions for the recovery process to reduce the post-hazard downtime duration of road networks.…”

Section: Exhibits Structural Damages On the Transportation Network's mentioning

confidence: 99%

Optimization-based decision-making models for disaster recovery and reconstruction planning of transportation networks

Zamanifar

Hartmann

2020

Nat Hazards

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The purpose of this study is to analyze optimization-based decision-making models for the problem of Disaster Recovery Planning of Transportation Networks (DRPTN). In the past three decades, seminal optimization problems have been structured and solved for the critical and sensitive problem of DRPTN. The extent of our knowledge on the practicality of the methods and performance of results is however limited. To evaluate the applicability of those context-sensitive models in real-world situations, there is a need to examine the conceptual and technical structure behind the existing body of work. To this end, this paper performs a systematic search targeting DRPTN publications. Thereafter, we review the identified literature based on the four phases of the optimization-based decision-making modeling process as problem definition, problem formulation, problem-solving, and model validation. Then, through content analysis and descriptive statistics, we investigate the methodology of studies within each of these phases. Eventually, we detect and discuss four research improvement areas as [1] developing conceptual or systematic decision support in the selection of decision attributes and problem structuring, [2] integrating recovery problems with traffic management models, [3] avoiding uncertainty due to the type of solving algorithms, and [4] reducing subjectivity in the validation process of disaster recovery models. Finally, we provide suggestions as well as possible directions for future research.

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Urban flood event and associated damage in the Benue valley, Nigeria

2021

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Flooding events in the Lower Benue valley of Nigeria are often associated with huge damage to properties and loss of life in the adjoining communities. Specific objective of this study is to evaluate the impact of 2017 flood event as typical of the study area. Method used was an integrated environmental approach that combines analysis of rainfall and discharge data with social surveys, remote sensing and geographical information system. Standardized Precipitation Index (SPI), Precipitation Concentration Index (PCI) as well as flood damage curves were analysed with landuse/cover change and soil data to establish the nature of the flood and its impacts. Result showed that the flood in the study area is essentially saturation overland flow, which is more associated with saturation-excess than infiltration excess flow, and that the flood events are recurrent and predictable. 85% of the affected residents are however poor, earning an equivalent of US $4.3 daily, and live in non-reinforced concrete masonry (64%) and wooden buildings (24%). Many of the affected communities lived within flood plain and most buildings were structurally deficient. Victims received no compensation, and the properties were generally uninsured. The study recommends extensive flood control policy for the area and similar floodprone communities.

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Hazard assessment and regionalization of highway flood disasters in China

Cited by 17 publications

References 19 publications

Susceptibility mapping and zoning of highway landslide disasters in China

Susceptibility mapping and zoning of highway landslide disasters in China

Optimization-based decision-making models for disaster recovery and reconstruction planning of transportation networks

Urban flood event and associated damage in the Benue valley, Nigeria

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