Geological Hazard Risk Assessment Research Articles

A Critical Analysis of Geological Hazard Risk Assessment Including Future Perspectives

Geological hazards are widely distributed, cause huge losses, and have always been the focus of attention for engineering and environmental geologists. Geological hazard evaluation is the basis of research and has important theoretical significance for preventing and controlling geological hazards. Therefore, geological hazard evaluation has become the focus of engineering and environmental geology. The question of how to build a universal index system model of geological hazard evaluation is an urgent problem that needs to be solved in geological hazard evaluation. Based on a large amount of previous research data, this paper takes landslide hazard as an example and systematically expounds the main problems that need to be solved in the current geological hazard evaluation from five aspects: basic concept, evaluation scope and accuracy, evaluation index system and evaluation criteria, evaluation method, and applicability of evaluation results. A landslide hazard assessment index system model is proposed, which applies to all regions, including all of the factors that may affect the formation of landslides. It is also hoped that this will be used as an example to establish various types of disaster evaluation and assessment systems. If the parameter has no value in the assessment process, it can be processed as 0. On this basis, further research is suggested from the perspectives of the geological hazard evaluation level, geological hazard evaluation theory, and method. To provide thoughts on and suggestions for geological hazard risk assessment method research, standard revision, investigation and evaluation, and risk management and control need to be considered.

Research on Road Geological Hazard Risk Assessment Model Based on Computational Deep Learning Algorithm Integrated With GIS

This paper studies the geological disaster emergency command and management system based on geographic information system. This system is for the province, city, county land resources and other aspects of the comprehensive application, the realization of real-time information display, meteorological early warning, group measurement and mass prevention, monitoring and early warning, major disaster management, prevention plan, quick report processing, emergency investigation, emergency disposal, emergency consultation and other functions. Through the GSM network, the monitoring data is sent to the monitoring center through the mobile phone, and then the monitoring center processes, stores, displays and alarms the monitoring data. Finally, B/S structure is used to build a remote Web data service publishing platform, so that it can carry out real-time monitoring at any place, and improve the speed, efficiency and intuition of high-speed slope disaster. It is proved that the method has the advantages of stable operation, accurate data, fast transmission speed and high monitoring accuracy through the practical application of a highway project foundation pit slope monitoring.

Risk Assessment of Geological Hazards in the Alpine Gorge Region and Its Influencing Factors: A Case Study of Jiulong County, China

The mountainous areas in the western part of Sichuan Province are mostly Alpine Gorge regions with high mountains, steep slopes, complex topography and geomorphology, special climatic conditions, infertile soils, and fragile ecological environments. In this study, a geohazard risk assessment was carried out in the Alpine Gorge region to prevent geohazards from hindering socio-economic development, affecting the lives and safety of residents, and undermining sustainable development in the region. With the help of a geographic information system (GIS), the analysis of geohazard influence factors was carried out; eight indicators, such as elevation and slope aspect, were selected to construct the evaluation index system. Additionally, the time and space distribution pattern of each influence factor and geohazard was analyzed. Geologic hazards in the region are influenced mainly by precipitation and human engineering activities. The prediction and evaluation of geohazard risk in Jiulong County are based on the Information Value model (IV), the Logistic Regression model (LR), and the Random Forest model (RF). Comparing the Receiver operating characteristic (ROC) curves of the three models for the accuracy test, the results show that all three models are suitable for the Alpine Gorge region, and the Logistic Regression model has the highest accuracy. Based on the evaluation results, measures and countermeasures for geologic disaster prevention and mitigation are proposed in light of the reality of geologic disaster prevention and mitigation work in Jiulong County. The research results can guide the government’s disaster prevention and mitigation work, provide a scientific basis for formulating regional geologic disaster prevention and control strategies, and ultimately promote the region’s sustainable development.

Risk Assessment and Control of Geological Hazards in Towns of Complex Mountainous Areas Based on Remote Sensing and Geological Survey

Mountainous areas have become among the most developed areas of geological hazards due to special geological environmental conditions and intensive human engineering activities. Geological hazards are a main threat to urbanization, rural revitalization, and new rural construction in complex mountainous areas. It is of great strategic significance to conduct large-scale geological hazard investigation and risk assessment in urban areas, control the risk of geological hazards at the source and propose risk control measures. In this paper, we established the technical methods of geologic hazard risk assessment and control in complex mountain towns by taking Longlin Town in the mountainous region of Gansu Longnan, China as the study area, with the Quanjia bay debris flows and Panping Village landslides as the typical pilot investigation and assessment. The methods consist of six stages—risk identification, hazard disaster model investigation, risk analysis, vulnerability assessment, risk evaluation and risk management and control measures and proposals. On this basis, the results of geological hazards with different precipitation frequencies (5%, 2%, 1%) are presented. The results show that 75.23% of the regions remained at low risk levels; 24.38% of the regions increased a risk level with decreasing precipitation frequency, and 0.39% of the regions remained at extremely high risk levels under different precipitation frequency conditions. For the Quanjia bay debris flows and Panping Village landslides case, we discussed the geological hazards risk source control contents, management and control technologies, engineering and non-engineering measures of disaster prevention and control for urban disasters and specific disaster areas. This research can provide technical support and reference for disaster prevention and mitigation, and territorial spatial planning.

Using the Information Quantity Method to Assess the Regional Risk of Highway Slope to Improve the Level of Risk Management

In recent years, there have been many studies on regional geological hazard risk assessment. However, most previous research focused on natural geological disasters such as landslides and debris flows. There were few special regional risk studies aimed at highway slopes influenced deeply by artificial factors. According to the characteristics of highway slope, based on the evaluation of regional natural influencing factors, the artificial influencing factors and geological engineering information of an individual slope are introduced in this paper. The information evaluation model, combined with the analytic hierarchy process (AHP) and ArcGIS spatial analysis, was used to evaluate the risk of disaster in the study area. Then, the risk assessment results and risk zoning map along the highway were obtained. By comparing and analyzing the data of the management unit, the research results were in good agreement with the actual slope. The results of this paper can effectively guide the maintenance and management of highway slopes and provide a reference for site selection of subsequent highway reconstruction and expansion projects. In general, this study can improve the level of geological risk management in highway engineering.

Analysis and Evaluation of Extreme Rainfall Trends and Geological Hazards Risk in the Lower Jinshajiang River

This research studied the risk assessment of geological hazards, such as landslides and debris flow, under the time series and trend characteristics of extreme precipitation events in the last 60 years in nine typical regions of the lower Jinshajiang River Basin. Nine indicators, including slope, engineering geological rock group, slope structure type, distance to road, topographic relief, distance to fault, distance to the water system, vegetation cover and profile curvature, were selected as the index factors for landslide susceptibility evaluation, and the information quantity method was used to obtain the landslide susceptibility evaluation of the study area. Based on the susceptibility evaluation, the spatial analysis function of GIS was used to derive the geological hazard zoning under the extreme rainfall trend. The results showed that the areas with high extreme rainfall trends have higher densities of geological hazard development and they are concentrated, while areas with low extreme rainfall trends have relatively less geological hazard development, and what development exists is scattered.

Study on the Types and Risk Assessment of Geological Hazards in a Certain Mountain Area

Study on the Types and Risk Assessment of Geological Hazards in a Certain Mountain Area

汉口火车站北广场项目地质灾害危险性评估

汉口火车站北广场项目地质灾害危险性评估

Land Subsidence Time Series Prediction Method Based on LSTM-AMSGD

Accurate prediction of geological subsidence is of great importance for geological hazard risk assessment. Various existing prediction models do not take into account the time correlation between geological subsidence, and the prediction effect lacks practical significance. In this paper, an LSTM-AMSGD-based land subsidence prediction method is proposed. Firstly, the high-precision time series inversion results of large-area land surface deformation are obtained by the small baseline interference technique with multiple principal image coherent targets. Secondly, a recurrent neural network (LSTM-AMSGD) is used as the network architecture. The final cumulative subsidence prediction error is within 0.3 mm, and the single-step prediction of more than 400,000 observation points can be completed in 126s. Therefore, the LSTM-AMSGD model in this paper is effective for the prediction of geological subsidence.

Study on the Importance Classification Method of Construction Projects in Geological Hazard Risk Assessment

Study on the Importance Classification Method of Construction Projects in Geological Hazard Risk Assessment

The Present Situation, Problems and Perfection of the Risk Assessment of Geological Hazards in Hydraulic Engineering Environment

The Present Situation, Problems and Perfection of the Risk Assessment of Geological Hazards in Hydraulic Engineering Environment

Strategic Analysis on Risk Assessment of Geological Hazards in Hydraulic Engineering Environment

Strategic Analysis on Risk Assessment of Geological Hazards in Hydraulic Engineering Environment

Risk assessment of geological hazards in mountain town scale based on FLO-2D and GIS

Zhouqu County located in the Bailong River Basin of the Longnan Mountain, which is a high geological-hazard-prone area. This paper constructed the index system and evaluation model of geological hazard evaluation at the scale of town in mountainous area by taking Zhouqu County as an example, which carrying out work of geological hazard zoning, vulnerability assessment and risk assessment used by infinite slope model, Flo-2D and ArcGIS software on the basis of analysing geological conditions. The results show that :(1) Together with considering the slope stability and the threat of debris flow utilize the methods of infinite slope model and Flo-2D software and establishing prediction expression of the maximum sliding distance of landslide by using the detailed sample data of 46 locations in the river basin, which effectively improves the accuracy of hazard assessment.(2) The model of vulnerability evaluation eliminates the evaluation indexes with high repeatability, and selects the main property-type disaster bearing bodies for analysis, evaluation and economic accounting, which greatly improves the evaluation efficiency. (3) The risk assessment results can provide reliable technical support for the territorial spatial planning and disaster prevention and reduction of Zhouqu County as well as provide reference for the risk assessment of geological disasters in other towns in Longnan Mountain Area. (4) In addition to rainfall induced by urban geological disasters in mountainous areas of Bailong River Basin, the impact of earthquakes and human engineering activities cannot be ignored. To achieve the goal of high efficiency, rapid and accurate of the model of urban geological hazard risk assessment, it is necessary to conducts in-depth research on dynamic risk assessment technology and methods.

A Multilevel Model for Calculating the Motion of Rocks

The presence of a large number of loose rocks, often accompanied by giant rocks, which are highly destructive to the surface are an important factor in geological hazard risk assessment. In rocks moving along a slope, the scale of movement and the scale of deformation differ substantially in magnitude owing to their movement characteristics of large moving distance, fast rotation speed, and small deformation. A multilevel model for rock motion calculation is established to separate the rigid displacement and deformation displacement of the rock. The total rock movement displacement comprises translational displacement, rotational displacement, and deformation displacement. Three corresponding coordinate systems are set up. These include the translational coordinate system, which is used to describe the translational displacement of the rock, the rotational coordinate system, which is used to describe the rotational displacement of the rock, and the co-rotational coordinate system, which is used to describe the deformation displacement of the rock. The origin and the direction of the coordinate axis of the co-rotational coordinate system change with the movement of the rock. Lagrange’s principle establishes the equations of motion, which is solved by an explicit approach in the framework of the Continuum-discontiuum element method. Several numerical cases verify that this method can accurately calculate the rotational movement of the rock.

Risk Assessment of Geological Hazards in the Newly-built Highway from Xixia Neixiang to Dinghe Section of G312 Line

Risk Assessment of Geological Hazards in the Newly-built Highway from Xixia Neixiang to Dinghe Section of G312 Line

Landslide susceptibility mapping with the fusion of multi-feature SVM model based FCM sampling strategy: A case study from Shaanxi Province

ABSTRACT The quality of “non-landslide’ samples data impacts the accuracy of geological hazard risk assessment. This research proposed a method to improve the performance of support vector machine (SVM) by perfecting the quality of ‘non-landslide’ samples in the landslide susceptibility evaluation model through fuzzy c-means (FCM) cluster to generate more reliable susceptibility maps. Firstly, three sample selection scenarios for ‘non-landslide’ samples include the following principles: 1) select randomly from low-slope areas (scenario-SS), 2) select randomly from areas with no hazards (scenario-RS), 3) obtain samples from the optimal FCM model (scenario-FCM), and then three sample scenarios are constructed with 10,193 landslide positive samples. Next, we have compared and evaluated the performance of three sample scenarios in the SVM models based on the statistical indicators such as the proportion of disaster points, density of disaster points precision, receiver operating characteristic (ROC) curve, and area under the ROC curve (AUC). Finally, The evaluation results show that the ‘non-landslide’ negative samples based on the FCM model are more reasonable. Furthermore, the hybrid method supported by SVM and FCM models exhibits the highest prediction efficiency. Scenario FCM produces an overall accuracy of approximately 89.7% (AUC), followed by scenario-SS (86.7%) and scenario-RS (85.6%).

Risk Assessment of Geological Hazards of Qinling-Daba Mountain Area in Shaanxi Province Based on FAHP and GIS

The paper herein selects nine disaster risk factors to build an evaluation index system by means of the fuzzy analytic hierarchy process (FAHP). Based on ArcGIS software, the risk assessment and regionalization of geological disasters in Qinling-Daba mountain area in Shaanxi province are carried out while the geological disaster points are used for verification. The results show that: 1) The conditions to trigger geological disasters in Qinling-Daba mountain area of Shaanxi are the slope 15°∼45°, topographic relief degree more than 200m, perennial average rainfall about 950mm∼1200mm, vegetation coverage less than 60%, distance from river network less than 2km, distance from fault less than 4km and the density of seismic points about 0.15-1.36/100 km2. 2) The risk levels of geological disasters in Qinling-Daba mountain area of Shaanxi province are divided into several grades as extremely low risk area, low risk area, medium risk area, high risk area and extremely high-risk area, accounting for 8.63%, 14.56%, 31.56%, 31.91% and 13.34% of the area respectively. 3) Relevant verification shows that the risk zoning accuracy is high, which can provide a scientific basis for disaster prevention and reduction in Qinling-Daba mountain area of Shaanxi province.

Comparative Analysis on Classification Methods of Geological Disaster Susceptibility Assessment

Objectives Geological hazards not only cause serious economic losses and ecological damage, but also threaten the survival of mankind. The evaluation of geological hazard susceptibility is the basis of risk assessment of geological hazards. Previous studies focused on the selection of susceptibility assessment methods, but less on how to classify the susceptibility index of geological hazards. However, there is no good quantitative classification standard for the susceptibility of geological hazards in the current research results. Methods Taking Wenchuan County of Sichuan Province as an example, twelve widely used factors affecting geological hazard susceptibility was selected, and the susceptibility assessment was carried out by using the information quantity model. The evaluation accuracy of the model was tested by the success rate curve. We proposed a quantitative classification standard for susceptibility. The susceptibility index is a cumulative curve of the proportion of geological hazards in descending order, and the susceptibility index is divided into five intervals: 5% of historical disaster points (low-prone), the remaining 10% (medium-prone), the remaining 20% (high-prone), and the remaining 65% (very-high). Results The method of cumulative proportion subsection of historical geological hazards was compared with other eight methods and the accuracy of classification is verified. The results showed that the evaluation accuracy of the model was checked by two methods of validating the sample success rate curve and the non-disaster point sample success rate curve, and the rationality of the prediction results of the evaluation model was determined. The cumulative proportion subsection method of historical geological hazards showed good reasonableness in three ways: The proportion accuracy verification of vulnerable classification area, the frequency ratio accuracy verification of geological hazards and the location classification accuracy verification of geological hazards. It was the best classification standard in nine classification methods. Conclusions The quantitative classification standard for the susceptibility of geological hazards established in this article has a good application effect, but this standard needs more examples to verify. Geological hazard susceptibility evaluation is based on a good factor classification. Research work needs not only to focus on scientific and advanced evaluation methods, but also basic research on how to select factors and rational classification of factors.

Geological hazard risk assessment based on GIS in Mianchi County

The probability of surface collapse, landslide, collapse and debris flow is very high in hilly and mountainous areas of Mianchi County of western Henan province. The article obtained geological hazard district of Mianchi County though the analytic hierarchy process(AHP) to carry on the geological hazard risk assessment in the study area. Eight disaster-inducing factors were selected the density of disasters, slope gradient, slope height, slope shape, rock-soil body types, vegetation index, rainfall index, and engineering activity intensity based on the GIS platform and combined with the field investigation result of geological disaster points.

RETRACTED: Geological hazard risk assessment of line landslide based on remotely sensed data and GIS

With the development of economy, a large number of human development activities in the natural environment have directly or indirectly increased the possibility of geological disasters. Every year a large number of geological disasters pose a serious threat to the safety of human life and property, and the effective management of geological disasters has become one of the major difficulties facing our country. This paper mainly studies the risk assessment of geological hazards of the line landslide based on remote sensing and GIS. Combined with detailed survey items of geological disasters in a certain area, this paper evaluates and analyzes the distribution and development characteristics of landslide geological disasters in the study area. Disaster assessment is an important part of disaster prevention and mitigation, and provides important references for local infrastructure construction, tourism development, urban planning and regional economic development. It can be known from the experiments in this paper that the evaluation results based on the hierarchical entropy variable weight method are more accurate, and the accuracy rate is 67%. The hierarchical entropy variable weight method can not only synthesize the rich experience of experts, but also reduce the subjective impact by introducing an entropy algorithm, thereby obtaining more accurate evaluation results.