Research on Susceptibility Evaluation of Geological Hazards in Changyang County Based on Information Method

2021 ◽  
Author(s):  
Mengli Yang ◽  
Maosheng Ye ◽  
Yizhi Yu ◽  
Jianjun Wang ◽  
Qiang Liu ◽  
...  
Keyword(s):  
Geological Hazards ◽  
Information Method ◽  
Susceptibility Evaluation

scholarly journals Optimization of Random Forest Model for Assessing and Predicting Geological Hazards Susceptibility in Lingyun County

2021 ◽  
Author(s):  
Chunfang Kong ◽  
Kai Xu ◽  
Junzuo Wang ◽  
Yiping Tian ◽  
Zhiting Zhang ◽  
...  
Keyword(s):  
Random Forest ◽  
Prediction Accuracy ◽  
Evaluation Model ◽  
Field Investigation ◽  
Assessment Model ◽  
Geological Hazards ◽  
Susceptibility Assessment ◽  
Model Based ◽  
Similarity Calculation ◽  
Susceptibility Evaluation

The random forest (RF) model is improved by the optimization of unbalanced geological hazards dataset, differentiation of continuous geological hazards evaluation factors, sample similarity calculation, and iterative method for finding optimal random characteristics by calculating out-of-bagger errors. The geological hazards susceptibility evaluation model based on optimized RF (OPRF) was established and used to assess the susceptibility for Lingyun County. Then, ROC curve and field investigation were performed to verify the efficiency for different geological hazards susceptibility assessment models. The AUC values for five models were estimated as 0.766, 0.814, 0.842, 0.846 and 0.934, respectively, which indicated that the prediction accuracy of the OPRF model can be as high as 93.4%. This result demonstrated that the geological hazards susceptibility assessment model based on OPRF has the highest prediction accuracy. Furthermore, the OPRF model could be extended to other regions with similar geological environment backgrounds for geological hazards susceptibility assessment and prediction.

DINAMIKA POLITIK PERSETUJUAN BERSAMA TENTANG PENETAPAN DESA ADAT DI KABUPATEN ROKAN HULU TAHUN 2014

2017 ◽  
Vol 15 (1) ◽  
pp. 21
Author(s):  
Haryo Suganda ◽  
Raja Muhammad Amin
Keyword(s):  
Regulatory Region ◽  
Field Research ◽  
Analysis Techniques ◽  
Political Dynamics ◽  
Political Interests ◽  
Wide Range ◽  
Information Method ◽  
Qualitative Descriptive ◽  
The Village

This study is motivated the identification of policies issued by the regional Governmentof Rokan Hulu in the form of Regulatory region number 1 by 2015 on the determination of thevillage and Indigenous Village. Political dynamics based on various interests against themanufacture of, and decision-making in the process of formation of the corresponding localregulations determination of Indigenous Villages in the Rokan Hulu is impacted to a verysignificantamount of changes from the initial draft of the number i.e. 21 (twenty one) the villagebecame Customary 89 (eighty-nine) the Indigenous Villages who have passed. Type of thisresearch is a qualitative descriptive data analysis techniques. The research aims to describe theState of the real situation in a systematic and accurate fact analysis unit or related research, aswell as observations of the field based on the data (information). Method of data collectionwas done with interviews, documentation, and observations through fieldwork (field research).The results of the research on the process of discussion of the draft local regulations andmutual agreement about Designation of Indigenous Villages in the Rokan Hulu is, showed thatthe political dynamics that occur due to the presence of various political interests, rejectionorally by Villagers who were judged to have met the requirements of Draft Regulations to beformulated and the area for the set to be Indigenous Villages, and also there is a desire fromsome villages in the yet to Draft local regulations in order to set the Indigenous village , there isa wide range of interests of these aspects influenced the agreement to assign the entire localVillage which is in the Rokan Hulu become Indigenous village, and the village of Transmigrationinto administrative Villages where the initiator of the changes in the number of IndigenousVillages in the Rokan Hulu it is the desire of the local Government of its own.

Chemical Probes for Drug-Resistance Assessment by Binding Competition (RABC): Oseltamivir Susceptibility Evaluation

2012 ◽  
Vol 52 (1) ◽  
pp. 366-370 ◽  
Author(s):  
Ting-Jen R. Cheng ◽  
Shi-Yun Wang ◽  
Wen-Hsien Wen ◽  
Ching-Yao Su ◽  
Mengi Lin ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Chemical Probes ◽  
Binding Competition ◽  
Resistance Assessment ◽  
Susceptibility Evaluation

scholarly journals Preliminary Identification of Geological Hazards from Songpinggou to Feihong in Mao County along the Minjiang River Using SBAS-InSAR Technique Integrated Multiple Spatial Analysis Methods

2021 ◽  
Vol 13 (3) ◽  
pp. 1017
Author(s):  
Kuanxing Zhu ◽  
Peihua Xu ◽  
Chen Cao ◽  
Lianjing Zheng ◽  
Yue Liu ◽  
...  
Keyword(s):  
Spatial Analysis ◽  
Surface Deformation ◽  
Hot Spot ◽  
Field Investigation ◽  
Geometric Distortion ◽  
Disaster Prevention ◽  
Geological Hazards ◽  
Visibility Analysis ◽  
Preliminary Identification ◽  
Sbas Insar

Landslides and collapses are common geological hazards in mountainous areas, posing significant threats to the lives and property of residents. Therefore, early identification of disasters is of great significance for disaster prevention. In this study, we used Small Baseline Subset Interferometric Synthetic Aperture Radar (SBAS-InSAR) technology to process C-band Sentinel-1A images to monitor the surface deformation from Songpinggou to Feihong in Maoxian County, Sichuan Province. Visibility analysis was used to remove the influence of geometric distortion on the SAR images and retain deformation information in the visible area. Hot spot and kernel density analyses were performed on the deformation data, and 18 deformation clusters were obtained. Velocity and slope data were integrated, and 26 disaster areas were interpreted from the 18 deformation clusters, including 20 potential landslides and 6 potential collapses. A detailed field investigation indicated that potential landslides No. 6 and No. 8 had developed cracks and were severely damaged, with a high probability of occurrence. Potential collapse No. 22 had developed fissures, exposing a dangerous rock mass and posing significant threats to the lives and property of residents. This study shows that the proposed method that combines visibility analysis, InSAR deformation rates, and spatial analysis can quickly and accurately identify potential geological disasters and provide guidance for local disaster prevention and mitigation.

scholarly journals Terraced Landscapes and Hydrological-Geological Hazards: Innovative Approaches and Future Perspectives

Water ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 1728
Author(s):  
Federico Preti ◽  
Alessandro Errico ◽  
Giulio Castelli
Keyword(s):  
Geological Hazards ◽  
Future Perspectives ◽  
The World ◽  
Innovative Approaches

In the last few years, terraced landscapes have been receiving renovated interest all over the world (e [...]

The Hydrogeological Feature and Geological Hazard Prevention of M Coal Mine in Xinjiang Fukang

2013 ◽  
Vol 405-408 ◽  
pp. 562-565
Author(s):  
Chun Hui Yao ◽  
Qiu Hui Yao
Keyword(s):  
Coal Mine ◽  
Junggar Basin ◽  
Geological Structure ◽  
Geological Hazard ◽  
Geological Hazards ◽  
Hilly Terrain ◽  
Mine Area ◽  
Brittle Rocks ◽  
Mountain Front ◽  
Medium Type

M coal mine is located in the hilly terrain of mountain front in the southern margin of Junggar Basin in Fukang. The geological structure belongs to a medium type in the mine area where there are surface faults (two larger faults) and structural developments. The stratigraphic dips of south limb of Fukang syncline and southern Fukang anticline are large while that near F5 fault of anticline axis are larger and even upright. Brittle rocks develop fractures. In consideration of meteorology, earthquakes and other factors, mining may lead to such geological hazards as eboulement and surface subsidence, which should be highlighted.

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