|
|
|
|
|
Bahareh Kalantar, Husam A. H. Al-Najjar, Biswajeet Pradhan, Vahideh Saeidi, Alfian Abdul Halin, Naonori Ueda and Seyed Amir Naghibi
Assessment of the most appropriate groundwater conditioning factors (GCFs) is essential when performing analyses for groundwater potential mapping. For this reason, in this work, we look at three statistical factor analysis methods?Variance Inflation Fac...
ver más
|
|
|
|
|
|
|
|
|
|
|
Liang Dai, Chaojun Jia, Lei Chen, Qiang Zhang and Wei Chen
The intricate geological conditions of reservoir banks render them highly susceptible to destabilization and damage from fluctuations in water levels. The study area, the Cheyipin section of the Huangdeng Hydroelectric Station, is characterized by numero...
ver más
|
|
|
|
|
|
|
|
|
|
|
Muge Pinar Komu, Hakan Ahmet Nefeslioglu and Candan Gokceoglu
Uncertainties related to runout distances in shallow landslide analyses may not only affect lives but may also result in economic losses. Owing to the increase in shallow landslides, which are especially triggered by heavy rainfall, runout distances have...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chiara Martinello, Claudio Mercurio, Chiara Cappadonia, Viviana Bellomo, Andrea Conte, Giampiero Mineo, Giulia Di Frisco, Grazia Azzara, Margherita Bufalini, Marco Materazzi and Edoardo Rotigliano
In statistical landslide susceptibility evaluation, the quality of the model and its prediction image heavily depends on the quality of the landslide inventories used for calibration. However, regional-scale inventories made available by public territori...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhu Liang, Weiping Peng, Wei Liu, Houzan Huang, Jiaming Huang, Kangming Lou, Guochao Liu and Kaihua Jiang
Shallow landslides pose serious threats to human existence and economic development, especially in the Himalayan areas. Landslide susceptibility mapping (LSM) is a proven way for minimizing the hazard and risk of landslides. Modeling as an essential step...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yingze Song, Degang Yang, Weicheng Wu, Xin Zhang, Jie Zhou, Zhaoxu Tian, Chencan Wang and Yingxu Song
Landslide susceptibility assessment (LSA) based on machine learning methods has been widely used in landslide geological hazard management and research. However, the problem of sample imbalance in landslide susceptibility assessment, where landslide samp...
ver más
|
|
|
|
|
|
|
|
|
|
|
Juby Thomas, Manika Gupta, Prashant K. Srivastava and George P. Petropoulos
Shallow landslides due to hydro-meteorological factors are one of the most common destructive geological processes, which have become more frequent in recent years due to changes in rainfall frequency and intensity. The present study assessed a dynamic, ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lin Fu, Jun Zhu, Jianbo Lai, Weilian Li, Pei Dang, Lingzhi Yin, Jialuo Li, Yukun Guo and Jigang You
The rapid acquisition of deposit volume information and dynamic modeling, as well as the visualization of disaster scenes, have great significance for the sharing of landslide information and the management of emergency rescue. However, existing methods ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaohui Sun, Chenglong Yu, Yanrong Li and Ngambua N. Rene
The purpose of this paper was to produce the geological hazard-susceptibility map for the Changbai Mountain area affected by volcanic activity. First, 159 landslides and 72 debris flows were mapped in the Helong city are based on the geological disaster ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nurwatik Nurwatik, Muhammad Hidayatul Ummah, Agung Budi Cahyono, Mohammad Rohmaneo Darminto and Jung-Hong Hong
One hundred seventeen landslides occurred in Malang Regency throughout 2021, triggering the need for practical hazard assessments to strengthen the disaster mitigation process. In terms of providing a solution for investigating the location of landslides...
ver más
|
|
|
|
|
|