Journal Article10.1016/j.scitotenv.2022.158049
Evaluation of potential changes in landslide susceptibility and landslide occurrence frequency in China under climate change.
Qigen Lin,Stefan Steger,Massimiliano Pittore,Jiahui Zhang,Leibin Wang,Tongying Jiang,Ying Jie Wang +6 more
72
TL;DR: In this paper , the authors built upon observed and modelled rainfall data from 24 bias-corrected Coupled Model Intercomparison Project Phase 6 (CMIP6) Global Climate Models (GCMs), a statistical landslide susceptibility model, and empirical rainfall thresholds for landslide initiation, to evaluate changes in landslide susceptibility and landslide occurrence frequency at national-scale.
read more
About: This article is published in Science of The Total Environment. The article was published on 15 Aug 2022. The article focuses on the topics: Medicine & Landslide.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Deciphering seasonal effects of triggering and preparatory precipitation for improved shallow landslide prediction using generalized additive mixed models
Stefan Steger,Mateo Moreno,Alice Crespi,Peter Zellner,Stefano Luigi Gariano,Maria Teresa Brunetti,Massimo Melillo,Silvia Peruccacci,Francesco Marra,Jason Goetz,Volkmar Mair,Massimiliano Pittore +11 more
TL;DR: In this paper , a generalized additive mixed model (GAMM) was used to identify seasonally dynamic precipitation conditions for shallow landslides in South Tyrol (Italy) and showed that more precipitation is required to induce a landslide in summer than in winter/spring.
30
Modeling landslide susceptibility based on convolutional neural network coupling with metaheuristic optimization algorithms
Zhuo Chen,Danqing Song +1 more
TL;DR: The results indicate that theCNN-COA model, followed by the CNN-BWO model, and the CNN model, offers the best overall performance for landslide susceptibility analysis.
20
The influence of spatial patterns in rainfall on shallow landslides
TL;DR: In this article , the authors identify which factors most influence susceptibility to shallow landslides at the event scale and assess how the spatial density of landslides varies in relation to rainfall, and demonstrate that the landslide response to storm rainfall could be significantly amplified by climate change.
18
Potential impacts of future climate on the spatio-temporal variability of landslide susceptibility in Iran using machine learning algorithms and CMIP6 climate-change scenarios
Saeid Janizadeh,S. M. Bateni,Changhyun Jun,Subodh Chandra Pal,Shahab S. Band,Indrajit Chowdhuri,Asish Saha,Amir Mosavi +7 more
TL;DR: In this paper , the authors examined the possible impacts of climate change on landslide susceptibility in Iran and used machine learning algorithms extreme gradient boosting (XGBoost) and random forest (RF) to model and map landslide susceptibility.
16
References
Climate change projection over the Tibetan Plateau based on a set of RCM simulations
TL;DR: In this article, the authors investigated future climate change over the Tibetan Plateau (TP) and the surrounding areas based on the ensemble of a set of the 21st century climate change projections using the RCM RegCM4.
Projected effects of climate change on shallow landslides, North Shore Mountains, Vancouver, Canada
Matthias Jakob,Trevor Owen +1 more
TL;DR: In this paper, the authors quantified and projected changes in the frequency and magnitude of shallow landslides and resulting debris flows because of the impacts of climate change for the North Shore Mountains of Vancouver, BC.
Modelling the impact of predicted climate change on landslide frequency and magnitude in SE England
TL;DR: In this paper, the authors used a GIS-based combined slope hydrology/stability model linked to downscaled GCM data to assess the likely impact of such a change on the frequency and magnitude of landslide activity.
CWRF performance at downscaling China climate characteristics
Xin-Zhong Liang,Xin-Zhong Liang,Chao Sun,Xiaohui Zheng,Xiaohui Zheng,Yongjiu Dai,Min Xu,Hyun Il Choi,Tiejun Ling,Fengxue Qiao,Xianghui Kong,Xunqiang Bi,Lianchun Song,Fang Wang +13 more
TL;DR: In this paper, the performance of the regional Climate-Weather Research and Forecasting model (CWRF) for downscaling China climate characteristics is evaluated using a 1980-2015 simulation at 30 km grid spacing driven by the ECMWF Interim reanalysis (ERI).
Future changes in thermal comfort conditions over China based on multi-RegCM4 simulations
Xuejie Gao,Wei Jie,Ying Shi,Wu Jia,Zhenyu Han,Dongfeng Zhang,Yao Tong,Rou-Ke Li,Xu Ying,Filippo Giorgi +9 more
TL;DR: A set of high resolution (25 km) 21st century climate change projections using the regional climate model RegCM4 driven by four global model simulations were conducted over East Asia under the mid-1990s.