Article
Environmental Sciences
Wooyoung Na, Changhyun Jun, Sang Yeob Kim
Summary: This study focuses on evaluating the influence of different rainfall patterns on slope stability and compares it with an actual landslide incident that occurred in Korea in 2011. The study found that models considering abrupt rainfall intensity can more accurately capture the timing of landslide occurrences. Therefore, the appropriate adoption of a rainfall distribution model should be highlighted for landslide prediction.
Article
Engineering, Geological
Pin-Chun Huang
Summary: This study builds a prediction model that combines a neural network algorithm with a clustering method based on geomorphological characteristics to investigate the influence of rainfall condition and soil stability on the occurrence of shallow landslides. The study suggests a classification method to divide the watershed into multiple local regions and adopts a seepage flow model and a slope stability model to understand the temporal and spatial variation of unstable areas. The proposed approach effectively determines the periods when shallow landslides are likely to occur in different regions.
Article
Environmental Sciences
Laura Coco, Debora Macrini, Tommaso Piacentini, Marcello Buccolini
Summary: This study compares two GIS-based bivariate statistical methods for landslide susceptibility analysis at the catchment scale, introducing a new method for delineating slope units and testing the morphometric slope index as a predisposing factor for landslides, resulting in susceptibility maps with strong geomorphological significance. The efficiency of slope unit segmentation and the potential of the statistical methods proposed for landslide susceptibility mapping are demonstrated in this research.
Review
Computer Science, Artificial Intelligence
Wei Gao, Shuangshuang Ge
Summary: This study provides a comprehensive review of slope stability research based on artificial intelligence methods, focusing on slope stability computation and evaluation. The review covers studies using quasi-physical intelligence methods, simulated evolutionary methods, swarm intelligence methods, hybrid intelligence methods, artificial neural network methods, vector machine methods, and other intelligence methods. The merits, demerits, and state-of-the-art research advancement of these studies are analyzed, and possible research directions for slope stability investigation based on artificial intelligence methods are suggested.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Computer Science, Interdisciplinary Applications
Xin Liu, Yu Wang, Anthony Kwan Leung
Summary: This paper proposes a novel probabilistic back analysis method that explicitly models the rainfall triggering mechanism for a slope failure. By incorporating both slope failure and survival records, uncertainties in soil strength and hydraulic parameters can be effectively reduced.
COMPUTERS AND GEOTECHNICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Wengui Huang, Fleur Loveridge, Alfrendo Satyanaga
Summary: Many rainfall-induced landslides are shallow. Simple approaches like the infinite slope model are often used for regional slope stability analysis or landslide hazard mapping. However, the infinite slope model underestimates safety factor due to the absence of boundary effects. This paper presents a new upper bound limit analysis (UBLA) method that incorporates a novel failure mechanism to capture the boundary effect. The new approach is validated using finite element limit analyses and shows better performance than the conventional log-spiral UBLA method. Based on the results, a new analytical shallow landslide model is developed, which retains simplicity but significantly improves accuracy, making it a promising alternative for routine analysis such as landslide hazard mapping.
COMPUTERS AND GEOTECHNICS
(2022)
Article
Engineering, Geological
Bastian Van den Bout, Luigi Lombardo, Ma Chiyang, Cees van Westen, Victor Jetten
Summary: The research introduces an iterative method for finding progressive slope failure surfaces while considering lateral forces due to weight of the fractured failure material. The method performed well in predicting smaller failures, but ellipsoid sampling methods proved to be more robust for larger slope failures. Comparison with other free and open-source methods showed complex variation in failure surface patterns for the 2009 Messina event, highlighting the potential of the method to provide catchment-scale deterministic failure volume and geometry for future disasters.
ENGINEERING GEOLOGY
(2021)
Article
Engineering, Geological
Nilo Lemuel J. Dolojan, Shuji Moriguchi, Masakazu Hashimoto, Kenjiro Terada
Summary: A method for analyzing shallow slope failures caused by rainfall is developed through the use of the Green-Ampt infiltration equation and the infinite slope stability model. The model is applied and validated with landslides that occurred during Typhoon Hagibis in Japan, showing good agreement with reported failure depths and times. The applicability of the model extends to post-analysis, real-time, or projected assessment of slope stability based on input rainfall data.
Article
Geochemistry & Geophysics
Xuan Zhang, Chun Zhu, Zinan Li, Wansheng Ling, Faming Zhang
Summary: This research focused on the Langjia landslide in Qinghai Province of China to explore the failure mechanism and mode of deep relaxation rockslide in cold and arid areas of the plateau. The main precondition for the landslide was found to be deep relaxation tension cracks, triggered by strong weathering and disintegration of argillaceous cemented conglomerate on the sliding surface. The influence of rainfall, snow melting, and temperature accelerated the development of cracks and weathering process, leading to the formation of a sliding surface of mud rock with gravel.
Article
Geosciences, Multidisciplinary
Pin-Chun Huang
Summary: This study explores the relationship between rainfall pattern, slope stability of soil layer, and the occurrence of shallow landslides. A seepage flow model and slope stability analysis approach were used to examine the variation of unstable grids. By dividing the watershed into multiple zones and applying a dynamic recurrent neural network model, the possible duration and start time of shallow landslides in each zone can be predicted effectively.
Article
Geosciences, Multidisciplinary
Changjun Huang, Qingshan Zhou, Lv Zhou, Yuanzhi Cao
Summary: The study proposes a Quasi-Persistent Scatterers InSAR (QPS-InSAR) time-series method to identify and monitor ancient landslides in Wanzhou District, providing valuable information for local government to conduct regular landslide inspections and enhance landslide disaster early warning mechanisms.
Article
Environmental Sciences
M. Farooq Ahmed, Falak Sher, Ehtisham Mehmood
Summary: This study aims to develop a landslide hazard map and perform kinetic slope instability analysis in the Dasu dam site and its reservoir area in the Kohistan District. The use of GIS and remote sensing tools allowed for the creation of a landslide inventory map, which could help with risk assessment and mitigation in the future. The study also conducted field visits and scanline surveys to validate and evaluate slope instability issues. The overall efficiency of this work was determined to be 85%, indicating the reliability and effectiveness of the tools used.
ENVIRONMENTAL EARTH SCIENCES
(2023)
Article
Engineering, Geological
Alfredo Reder, Guido Rianna
Summary: The study demonstrates the potential use of the new generation reanalysis data, ERA5, in studying landslide events, showing its ability in reproducing rainfall histories, estimating soil moisture, and implementing landslide early warning systems in areas with limited field monitoring networks.
Article
Engineering, Geological
Pourya Kargar, Abdolreza Osouli, Timothy D. Stark
Summary: This paper explores the 3D failure mechanism and sequence of the 2014 Oso Landslide in Washington, revealing the occurrence of two separate retrogressive slides. The analysis, based on field reconnaissance and 3D limit equilibrium slope stability analyses, sheds light on the complexities of the slope topography and features that contributed to the initiation and direction of the landslide movement.
ENGINEERING GEOLOGY
(2021)
Article
Geosciences, Multidisciplinary
Gebremedhin Berhane, Abadi Gebrehiwot, Asmelash Abay
Summary: This research developed and evaluated a landslide susceptibility map in Ethiopia using two different approaches: frequency ratio and analytical hierarchy process. The study identified and mapped 175 past landslides and analyzed eight causative factors. The resulting landslide susceptibility maps provided valuable insights for landslide hazard mitigation and adaptation.
GEOMATICS NATURAL HAZARDS & RISK
(2023)
Article
Environmental Sciences
Kishan Singh Rawat, Sudhir Kumar Singh, Ram L. Ray, Szilard Szabo
Summary: The study aimed to parametrize the Modified Water Cloud Model (MWCM) and analyze the impact of vegetation indices on soil moisture. The Sentinel-1A data of winter wheat crop and in-situ soil moisture data were collected. It was found that vegetation indices have the potential to influence the water cloud model and vegetation descriptors, suggesting the need for model calibration. The results showed that this approach improves soil moisture prediction and can be applied for accurate soil moisture determination in winter crops, grasses, and pasture lands.
GEOCARTO INTERNATIONAL
(2022)
Article
Environmental Sciences
Nirmal Kumar, Sudhir Kumar Singh, Amit Kumar Dubey, Ram L. Ray, Sk Mustak, Kishan Singh Rawat
Summary: Using earth observation data and CMIP6 models, soil loss from the Ghaghara river basin was predicted. The study found that future soil erosion rates are influenced by rainfall erosivity factors, with the highest rates under SSP585 scenarios for CanESM5, Access-ESM1-5, and IPSL-CM6A-LR models, and the lowest under SSP245 for MRI-ESM2-0.
GEOCARTO INTERNATIONAL
(2022)
Article
Social Issues
Nawab Khan, Ram L. Ray, Shemei Zhang, Evans Osabuohien, Muhammad Ihtisham
Summary: This study examines the impact of mobile phone and internet technology usage (MPITU) on the income and sales channel selection of rural wheat growers. The findings suggest that a higher level of MPITU has a positive effect on agricultural income. It is recommended to provide MPITU training services to farmers to enhance agricultural productivity and household income.
TECHNOLOGY IN SOCIETY
(2022)
Article
Environmental Sciences
Ram L. Ray, Nawab Khan, N. S. Abeysingha, Shahid Farooq, Sudhir K. Singh, Muhammad Umair
Summary: This study aims to quantify the annual global change in soil organic carbon (SOC) on cropland using satellite data. The results show that there was an increase in SOC in several countries in 2020 compared to 2019, likely due to the impact of COVID-19 lockdown measures. The study also found that the change in SOC between 2020 and 2019 was considerably different from the change between 2019 and 2015.
GEOCARTO INTERNATIONAL
(2022)
Article
Environmental Sciences
Mustafa El-Rawy, Wael M. Elsadek, Florimond De Smedt
Summary: In this study, hydro-morphometric characteristics are used to determine the susceptibility to flash flooding in the Sinai Peninsula. The results show that large basins in the mountain ranges of the southern Sinai have a very high susceptibility to flash flooding, while smaller to medium-sized basins in flatter areas in the center and north usually have a moderate or low susceptibility.
Article
Environmental Sciences
Nawab Khan, Jiliang Ma, Hazem S. Kassem, Rizwan Kazim, Ram L. Ray, Muhammad Ihtisham, Shemei Zhang
Summary: The COVID-19 pandemic has had a significant impact on farmers' employment, production practices, and livelihood resilience. At the same time, climate change has also affected agricultural production worldwide. This study focuses on farmers' autonomous adaptation strategies to climate change and their influence on maize yield. The results show that farmers who have not adapted to climate change negatively affect maize productivity. Therefore, policymakers should pay attention to the countermeasures farmers have not taken and provide appropriate adaptation strategies to help farmers cope with climate-related natural hazards.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Environmental Sciences
Vikram Gaurav Singh, Sudhir Kumar Singh, Nirmal Kumar, Pankaj Kumar, Praveen Kumar Gupta, Pushpendra Kumar Singh, Mateo Gasparovic, Ram Lakhan Ray, Osamu Saito
Summary: The study analyzed the water resources situation in the Betwa River basin by applying different precipitation datasets and observation methods, revealing patterns of higher water yields during the monsoon season. The findings of the research can provide important references for sustainable water resource management and policy making.
Article
Chemistry, Multidisciplinary
Gururaj M. Neelgund, Sanjuana F. Aguilar, Mahaveer D. Kurkuri, Debora F. Rodrigues, Ram L. Ray
Summary: A high-efficiency adsorbent CNTs-PAMAM-Ag was prepared and successfully adsorbed Pb(II) and As(III) in water. The kinetic study revealed that the adsorption process of Pb(II) and As(III) was controlled by both chemisorption and intraparticle diffusion effects.
Article
Green & Sustainable Science & Technology
Yongguang Hu, Ali Raza, Neyha Rubab Syed, Siham Acharki, Ram L. Ray, Sajjad Hussain, Hossein Dehghanisanij, Muhammad Zubair, Ahmed Elbeltagi
Summary: Land use/land cover changes in Southern Punjab province of Pakistan have resulted in significant changes to settlements, forests, and barren land. Forest cover decreased by 31.03% over a 20-year period, while settlements and barren land increased by 14.52% and 12.87% respectively. Proper monitoring and land management are necessary to address these changes.
Article
Chemistry, Physical
Gururaj M. Neelgund, Sanjuana Fabiola Aguilar, Erica A. Jimenez, Ram L. Ray
Summary: A multimode, dual functional nanomaterial, CNTs-Ag2S, consisting of carbon nanotubes (CNTs) and silver sulfide (Ag2S) nanoparticles, was prepared through a facile hydrothermal process. The modified CNTs were used to efficiently immobilize and uniformly distribute the Ag2S nanoparticles, allowing CNTs-Ag2S to adsorb toxic Cd(II) and completely degrade hazardous Alizarin yellow R in water. The adsorption of Cd(II) by CNTs-Ag2S followed pseudo-second-order kinetics, with chemisorption being the rate-determining step. The degradation of Alizarin yellow R by CNTs-Ag2S proceeded with pseudo-first-order kinetics according to the Langmuir-Hinshelwood (L-H) model.
Article
Environmental Sciences
Gururaj M. Neelgund, Erica A. Jimenez, Ram L. Ray, Mahaveer D. Kurkuri
Summary: A powerful adsorbent, CNTs-PLA-Pd, was developed for the efficient adsorption of divalent mercury and hexavalent chromium. The adsorption rate for these contaminants was rapid initially, followed by a gradual decrease and attainment of equilibrium. The adsorption process followed pseudo-second-order kinetics and chemisorption was the rate-limiting step. The Hg(II) and Cr(VI) adsorption over CNTs-PLA-Pd occurred through multiple phases and monolayer molecular covering and chemisorption were observed.
Article
Environmental Studies
Shemei Zhang, Bin Wu, Rui Chen, Jingzhi Liang, Nawab Khan, Ram L. Ray
Summary: This paper examines the importance of government intervention in promoting cooperative development in poor areas of rural China. It explores the rationale behind government intervention and identifies the conditions under which it can be successful. A case study of XM Beekeeping Cooperative is used to illustrate successful government intervention.
Article
Green & Sustainable Science & Technology
Gebrekidan Worku Tefera, Yihun Taddele Dile, Ram Lakhan Ray
Summary: This study evaluates the effect of statistical bias correction techniques on climate change signals and extreme rainfall indices in the Jemma sub-basin. The statistical methods effectively adjusted the RCM simulations of rainfall, with distribution mapping being more effective than linear scaling. The bias correction techniques triggered changes in climate signals, resulting in a decrease in rainfall in the statistically adjusted outputs.
Article
Environmental Sciences
Gebrekidan Worku Tefera, Ram Lakhan Ray
Summary: This study evaluates hydrology and hydrological extremes under future climate change scenarios. The climate change scenarios show a reduction in precipitation and an increase in both maximum and minimum temperatures. Future climate change scenarios also project a decrease in high flow and low flow, while an increase in annual maximum flow is simulated in climate change scenarios developed from the RCP8.5 emission scenario. Optimal water management structures are suggested to mitigate the effects of changes in high and low flows.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Studies
Nawab Khan, Ram L. Ray, Hazem S. Kassem, Muhammad Ihtisham, Badar Naseem Siddiqui, Shemei Zhang
Summary: Global climate change has had and will continue to have a major impact on the agricultural sector, and efforts to adopt new technologies and utilize agricultural cooperatives are necessary to mitigate these effects. A study in Pakistan shows that membership in agricultural cooperatives and technology adoption can significantly increase agricultural income. The study also highlights the importance of factors like education, age, skill, training, and gender in relation to cooperative membership, technology adoption, and agricultural income.
