Top Cited
1
Abstract：
Mountainous urbanization, new rural construction, rural revitalization and poverty alleviation are facing the threat of geo-hazards. It has a great strategic significance to carry out large-scale geo-hazards investigation and risk assessment to control geo-hazards risks from their source. Based on the pilot survey and assessment, this paper puts forward a set of ideas and technical methods for the investigation and risk assessment of geo-hazards in mountainous towns. Investigation and risk assessment of geo-hazards in mountain towns can be divided into 3 levels according to the purpose and scale accuracy. ① Investigation and risk assessment of regional remote geo-hazards, assessing the possibility of remote geo-hazards in mountainous towns, at scale of 1:50,000. ② Investigation and risk assessment of urban geo-hazards to investigate and assess the possibility and consequence of deformation and instability of surveying each slope and valley in the surrounding areas of mountain towns, with a scale of 1:10,000. ③ Investigation and risk assessment of important site geo-hazards to assess the possibility and consequence of deformation and damage of slopes and valleys around important sites, such as major construction projects and tourist attractions and evaluating the possibility of instability and the degree of damage. with scale range from 1:5,000 to 1:2,000. Each level has been explained in this paper from the aspects of contents, methods and processes of geo-hazards investigation and risk assessment. Taking the typical mountainous towns the Qinba Mountain Area in Southern Shaanxi and Loess Plateau Area in Northern Shaanxi, as the study areas the demonstrative application demonstration of geo-hazards investigation and risk assessment in mountainous towns was established.
Mountainous urbanization, new rural construction, rural revitalization and poverty alleviation are facing the threat of geo-hazards. It has a great strategic significance to carry out large-scale geo-hazards investigation and risk assessment to control geo-hazards risks from their source. Based on the pilot survey and assessment, this paper puts forward a set of ideas and technical methods for the investigation and risk assessment of geo-hazards in mountainous towns. Investigation and risk assessment of geo-hazards in mountain towns can be divided into 3 levels according to the purpose and scale accuracy. ① Investigation and risk assessment of regional remote geo-hazards, assessing the possibility of remote geo-hazards in mountainous towns, at scale of 1:50,000. ② Investigation and risk assessment of urban geo-hazards to investigate and assess the possibility and consequence of deformation and instability of surveying each slope and valley in the surrounding areas of mountain towns, with a scale of 1:10,000. ③ Investigation and risk assessment of important site geo-hazards to assess the possibility and consequence of deformation and damage of slopes and valleys around important sites, such as major construction projects and tourist attractions and evaluating the possibility of instability and the degree of damage. with scale range from 1:5,000 to 1:2,000. Each level has been explained in this paper from the aspects of contents, methods and processes of geo-hazards investigation and risk assessment. Taking the typical mountainous towns the Qinba Mountain Area in Southern Shaanxi and Loess Plateau Area in Northern Shaanxi, as the study areas the demonstrative application demonstration of geo-hazards investigation and risk assessment in mountainous towns was established.
2
Abstract：
Natural disasters as geological disasters, floods,and earthquakes etc frequently occurred worldwide nowadays. The aggravation of the clustered disasters makes it an increasing concern how to reduce the risk of these disasters.This paper carried out a comprehensive assessment on the risk of multi-hazard natural disastersin Xianyang city of Shaanxi province.The results show that the risk zone presents obvious spatial differences.Overall, the risk is much higher along the WeiheValley and the northwestern mid-low hilly areas, spreading mainly in the southeast of Qindu District,the northwestof Wugong county,the urban area of Qianxian county,the eastern urban area of Sanyuan county,the urban area of Chunhua county, Binxian city and Xunyi county.In other regions,the risk of natural disasters is comparatively low.The results provide some references and guidance for the emergency managing and land space planning of Xianyang city.
Natural disasters as geological disasters, floods,and earthquakes etc frequently occurred worldwide nowadays. The aggravation of the clustered disasters makes it an increasing concern how to reduce the risk of these disasters.This paper carried out a comprehensive assessment on the risk of multi-hazard natural disastersin Xianyang city of Shaanxi province.The results show that the risk zone presents obvious spatial differences.Overall, the risk is much higher along the WeiheValley and the northwestern mid-low hilly areas, spreading mainly in the southeast of Qindu District,the northwestof Wugong county,the urban area of Qianxian county,the eastern urban area of Sanyuan county,the urban area of Chunhua county, Binxian city and Xunyi county.In other regions,the risk of natural disasters is comparatively low.The results provide some references and guidance for the emergency managing and land space planning of Xianyang city.
3
2022, 55(3): 96-107.
DOI: 10.19751/j.cnki.61-1149/p.2022.03.007
Abstract：
The geo-hazards such as slide, collapse and mud flow occur frequently due to the natural geographical environment, geological structure in western China and the special engineering characteristics of loess. The loess Plateau, which attracts worldwide attention, is a high susceptibility area for geo-hazards and a key area for its mitigation in China. Since the 1950s, the landslides investigation and evaluation have been conducted. In particular, through the relevant work during the 12th Five-Year Plan and the 13th five-year Plan period, the regularity of geo-hazards in the area has been basically found out, the key technologies such as early recognition, field investigation, monitoring and early warning, and risk assessment of loess geo-hazards has been explored, the key Laboratory of Loess geo-hazards and field scientific observation stations of the Ministry of Natural Resources has been built, which effectively supports the establishment of comprehensive geo-hazards mitigation system in the Northwest China. On the basis of reviewing the previous work achievements, combined with the influence of extreme climate changes and human engineering activities in recent years, this paper analyzes the new situation of loess geo-hazards prevention in the western loess regions. In order to further improve the loess geo-hazards mitigation of western China, several suggestions are put forward, such as strengthen the geo-hazards risk investigation, improve the monitoring technologies targeted to loess geo-hazards, construct the geo-hazards risk management considering both the potential loess geo-hazards and the geo-hazards susceptibility areas.
The geo-hazards such as slide, collapse and mud flow occur frequently due to the natural geographical environment, geological structure in western China and the special engineering characteristics of loess. The loess Plateau, which attracts worldwide attention, is a high susceptibility area for geo-hazards and a key area for its mitigation in China. Since the 1950s, the landslides investigation and evaluation have been conducted. In particular, through the relevant work during the 12th Five-Year Plan and the 13th five-year Plan period, the regularity of geo-hazards in the area has been basically found out, the key technologies such as early recognition, field investigation, monitoring and early warning, and risk assessment of loess geo-hazards has been explored, the key Laboratory of Loess geo-hazards and field scientific observation stations of the Ministry of Natural Resources has been built, which effectively supports the establishment of comprehensive geo-hazards mitigation system in the Northwest China. On the basis of reviewing the previous work achievements, combined with the influence of extreme climate changes and human engineering activities in recent years, this paper analyzes the new situation of loess geo-hazards prevention in the western loess regions. In order to further improve the loess geo-hazards mitigation of western China, several suggestions are put forward, such as strengthen the geo-hazards risk investigation, improve the monitoring technologies targeted to loess geo-hazards, construct the geo-hazards risk management considering both the potential loess geo-hazards and the geo-hazards susceptibility areas.
4
Abstract：
This paper takes Lingtai County, Pingliang City of Gansu Province as target research area. Based on the geospatial and historical landslide data, four machine learning models were used to construct the landslide susceptibility evaluation model. The four models are BP neural networks model, Random Forest classification model, support vector machine model, and logistic regression model which were optimized by GMM cluster model. In this paper, seven factors are selected as the landslide susceptibility influence factors, including elevation, slope, aspect, loess erosion intensity, vegetation coverage and geological structure. The influence factor of the geospatial database is established with 30m grid. The target area is divided into 1.8 million grid cells, and the grid cells of the whole area are clustered by the GMM model to obtain the preliminary subarea of landslide susceptibility map. 500 grid cells in the lowest-susceptibility category are selected as non-landslide units randomly, and 203 landslide grid units were used as landslide units according to historical landslide data. trained model is used to simulate and predict the whole research area, and to draw the ROC curve of each algorithm. Then compare the prediction results of each algorithm. The results of the analysis showed that the landslide susceptibility map of each algorithm is consistent with the actual landslide development. The random forest model has the largest area of 0.96 under the ROC curve, and the highest prediction accuracy of 0.93. It is followed by the BP-neural-network model with 0.89 under the ROC curve and 0.87 of the prediction accuracy. The area under the ROC curve and prediction accuracy of the support-vector-machine-model is 0.86, 0.81; and the logistic regression model is and 0.85, 0.80 respectively. The latter are lower than the first two models.
This paper takes Lingtai County, Pingliang City of Gansu Province as target research area. Based on the geospatial and historical landslide data, four machine learning models were used to construct the landslide susceptibility evaluation model. The four models are BP neural networks model, Random Forest classification model, support vector machine model, and logistic regression model which were optimized by GMM cluster model. In this paper, seven factors are selected as the landslide susceptibility influence factors, including elevation, slope, aspect, loess erosion intensity, vegetation coverage and geological structure. The influence factor of the geospatial database is established with 30m grid. The target area is divided into 1.8 million grid cells, and the grid cells of the whole area are clustered by the GMM model to obtain the preliminary subarea of landslide susceptibility map. 500 grid cells in the lowest-susceptibility category are selected as non-landslide units randomly, and 203 landslide grid units were used as landslide units according to historical landslide data. trained model is used to simulate and predict the whole research area, and to draw the ROC curve of each algorithm. Then compare the prediction results of each algorithm. The results of the analysis showed that the landslide susceptibility map of each algorithm is consistent with the actual landslide development. The random forest model has the largest area of 0.96 under the ROC curve, and the highest prediction accuracy of 0.93. It is followed by the BP-neural-network model with 0.89 under the ROC curve and 0.87 of the prediction accuracy. The area under the ROC curve and prediction accuracy of the support-vector-machine-model is 0.86, 0.81; and the logistic regression model is and 0.85, 0.80 respectively. The latter are lower than the first two models.
5
Abstract：
The geological environment of Longchuan County, Yunnan Province, is fragile and vulnerable to landslides. Analyzing the susceptibility of regional landslide hazards is of great significance to prevent and control the landslides in this area. Ten evaluation factors are established. They are elevation, slope, slope direction, section curvature, plane curvature, normalized vegetation index, distance from water system, fault distance, lithology and road distance. Landslide susceptibility evaluation is assessed by using information value model and Geographic Information System(GIS). The results show that the high landslide susceptibility zones are mainly located in the north, southeast and southwest of the study area; the moderate landslide susceptibility zones are mainly in the central, eastern and western parts of the study area; the low landslide susceptibility zones are mainly in Longba Township, most of Chengzizhen and northwest of Hu Sa Achang; the extremely low landslide susceptibility zones are mainly located in the central and urban areas of Qingping,part of the central part of Chenzi and most of Zhangfeng. 83.56% of the landslide hazards are in the middle and high susceptible zones, and the area of landslide increases with the increase of the susceptibility grade. The area of the middle and the high landslides susceptible zones accounts for 22.79% and 58.13% respectively of the total study area.The results are consistent with the actual distribution of landslide hazards, which can provide theoretical reference for disaster prevention and mitigation in the study area.
The geological environment of Longchuan County, Yunnan Province, is fragile and vulnerable to landslides. Analyzing the susceptibility of regional landslide hazards is of great significance to prevent and control the landslides in this area. Ten evaluation factors are established. They are elevation, slope, slope direction, section curvature, plane curvature, normalized vegetation index, distance from water system, fault distance, lithology and road distance. Landslide susceptibility evaluation is assessed by using information value model and Geographic Information System(GIS). The results show that the high landslide susceptibility zones are mainly located in the north, southeast and southwest of the study area; the moderate landslide susceptibility zones are mainly in the central, eastern and western parts of the study area; the low landslide susceptibility zones are mainly in Longba Township, most of Chengzizhen and northwest of Hu Sa Achang; the extremely low landslide susceptibility zones are mainly located in the central and urban areas of Qingping,part of the central part of Chenzi and most of Zhangfeng. 83.56% of the landslide hazards are in the middle and high susceptible zones, and the area of landslide increases with the increase of the susceptibility grade. The area of the middle and the high landslides susceptible zones accounts for 22.79% and 58.13% respectively of the total study area.The results are consistent with the actual distribution of landslide hazards, which can provide theoretical reference for disaster prevention and mitigation in the study area.
6
Abstract：
We are facing new challenges in the management of natural resources in the construction of ecological civilization. As the first layer of the natural resources, the ground substrate layer is the basis that supports and nurtures the ground cover layer. Therefore, it is a realistic and urgent task to conduct ground substrate layer survey of natural resources.Langfang Natural Resources Comprehensive Survey Center of China Geological Survey took the lead in carrying out a pilot survey of the ground substrate layer of natural resources in Baoding city.this paper summarized the element-index system for the ground substrate layer survey, and determined the bottom boundaries for the survey in different regions and of different types. For the first time, a technical route of "indoor research, field survey, database construction simulation, platform service" and the methods of "data modification, remote sensing interpretation, comprehensive mapping, profile measurement, geophysical survey, geochemical survey, and engineering Construction (drilling, trenching, well exploration, etc), sampling and testing, comprehensive research" were established and applied. The authors aim to provide reference for the investigation of the ground substrate layer survey of natural resources.
We are facing new challenges in the management of natural resources in the construction of ecological civilization. As the first layer of the natural resources, the ground substrate layer is the basis that supports and nurtures the ground cover layer. Therefore, it is a realistic and urgent task to conduct ground substrate layer survey of natural resources.Langfang Natural Resources Comprehensive Survey Center of China Geological Survey took the lead in carrying out a pilot survey of the ground substrate layer of natural resources in Baoding city.this paper summarized the element-index system for the ground substrate layer survey, and determined the bottom boundaries for the survey in different regions and of different types. For the first time, a technical route of "indoor research, field survey, database construction simulation, platform service" and the methods of "data modification, remote sensing interpretation, comprehensive mapping, profile measurement, geophysical survey, geochemical survey, and engineering Construction (drilling, trenching, well exploration, etc), sampling and testing, comprehensive research" were established and applied. The authors aim to provide reference for the investigation of the ground substrate layer survey of natural resources.
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