Article
Engineering, Environmental
Qinghua Zhan, Shimei Wang, Fei Guo, Yong Chen, Li Wang, Daipeng Zhao
Summary: An early warning system plays an important role in reducing the damage caused by landslides. In this study, a model test was conducted to investigate the change pattern of hydrological indexes, and a new early warning model based on volumetric moisture content was proposed. This model can provide reliable predictions for slope instabilities triggered under different conditions.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2022)
Article
Environmental Studies
Spyridon Lainas, Nikolaos Depountis, Nikolaos Sabatakakis
Summary: A new methodology for forecasting shallow landslides in wildfire burned areas is proposed by estimating the annual probability of rainfall threshold exceedance based on geological fieldwork and statistical analyses. The study concludes that the annual exceedance probability of rainfall-induced landslides in burned areas is higher when cumulative rainfall duration ranges from 6 to 9 days, with local differences due to geological conditions and landscape characteristics.
Article
Engineering, Geological
Khanh Pham, Dongku Kim, Canh Le, Hangseok Choi
Summary: The study develops a dual tree-boosting framework that addresses real-time pore water pressure and predicts warning levels of rainfall-induced landslides. The feasibility and performance of the framework are demonstrated through a case study in Japan. The framework, with simplified inputs and self-improvement, shows excellent applicability in response to climate change impacts.
Article
Geography, Physical
Faming Huang, Jiawu Chen, Weiping Liu, Jinsong Huang, Haoyuan Hong, Wei Chen
Summary: This study focuses on the rainfall-induced landslide hazard, using machine learning models to predict landslide susceptibility and proposing different critical rainfall threshold methods. The coupling of susceptibility maps and critical rainfall threshold values effectively predicts the rainfall-induced landslide hazards.
Article
Geosciences, Multidisciplinary
Wei Lin, Kunlong Yin, Ningtao Wang, Yong Xu, Zizheng Guo, Yuanyao Li
Summary: By combining the certainty factor (CF) model with the traditional Stability INdex MAPping (SINMAP) model, the CF-SINMAP model was proposed to improve the evaluation accuracy of landslide hazards. The model was verified in the Wuling Mountain area in Cili County, Hunan Province, China. Through analyzing eight geological environmental factors, key factors including rock and soil type, vegetation coverage, and human engineering activities were determined, leading to the division of the study area into six regions with refined physical and mechanical parameters. The CF-SINMAP model showed increased sensitivity to rainfall compared to the traditional method, providing more reliable results for landslide hazard assessment.
Article
Engineering, Geological
Xiaohui Yang, Yuanwen Jiang, Junchuan Zhu, Baoyan Ding, Weixiong Zhang
Summary: On February 26, 2021, the ancient Moli landslide in Guoye town, Zhouqu County, Gansu Province, China, was reactivated. The reactivated landslide had a volume of approximately 2120 x 10(4) m(3) and was classified as a remote accumulation layer landslide in a deep superlarge fault fracture zone. Through systematic field investigations and engineering mapping, the deformation characteristics and failure mechanisms of the landslide were studied. The complex geological structure and landform of Zhouqu County, along with multiple secondary landslides, contributed to the particularly complex failure mechanism of the landslide. Strengthened monitoring and comprehensive control measures are needed for this type of landslide.
Article
Environmental Sciences
Kun Song, Luyang Han, Di Ruan, Hui Li, Baiheng Ma, David Dunkerley
Summary: This study uses the TRIGRS model to demarcate areas prone to rainfall-induced shallow landslides in a certain region of China. By inputting engineering geological and geotechnical characteristic data, the slope stability is simulated and verified. The results show a gradual decrease in slope stability under the influence of precipitation, with an increase in the percentage of slope area with a factor of safety less than 1.0. The findings can be used for hazards mitigation in the region.
Article
Engineering, Environmental
Biruk Gissila Gidday, R. Ayothiraman, B. Janaki Ramaiah, G. V. Ramana
Summary: This study aims to determine the rainfall thresholds for landslide occurrences and establish the failure mechanism. Through field investigations, laboratory experiments, and numerical modeling, empirical correlations and a landslide hazard zonation map were developed. The integrated research method can be used for predicting and warning geological hazards.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2023)
Article
Geosciences, Multidisciplinary
Avirut Chinkulkijniwat, Rattana Salee, Suksun Horpibulsuk, Arul Arulrajah, Menglim Hoy
Summary: This study proposes a rainfall threshold for landslide initiation in Northern Thailand, considering different rainfall event durations. The threshold is divided into two parts based on different landslide formation mechanisms, incorporating cumulative rainfall and rainfall event duration. The introduced threshold shows promising prediction performance and is valuable for landslide warning systems in the area.
GEOMATICS NATURAL HAZARDS & RISK
(2022)
Article
Engineering, Geological
Muhammet Durmaz, Marcel Hurlimann, Nejan Huvaj, Vicente Medina
Summary: This study compared two different hydrological models (FSLAM and TRIGRS) and two slope stability calculation methods (infinite slope and SCOOPS3D) and found that SCOOPS3D outperformed the infinite slope analysis. However, the accuracy of SCOOPS3D decreased for landslides with a high ratio of length/depth and width/depth. The comparison of hydrological models showed that FSLAM yielded more plausible results than TRIGRS. The study also highlighted the significant influence of landslide morphology and Digital Elevation Model resolution on the performance of physically-based stability models.
ENGINEERING GEOLOGY
(2023)
Article
Geosciences, Multidisciplinary
Jun Wang, Qinghua Gong, Shaoxiong Yuan, Jun Chen
Summary: This study developed a new shallow landslide model based on the effect of soil macropores for determining the rainfall threshold to post an early warning of the possibility of a shallow landslide in South China. The results showed that the macropores of vegetation roots had a significant effect on increasing the permeability of granite residual soil. The proposed model achieved an accurate prediction rate of 80.65% for early warning of shallow landslides in South China.
FRONTIERS IN EARTH SCIENCE
(2023)
Article
Engineering, Geological
Won Young Lee, Seon Ki Park, Hyo Hyun Sung
Summary: This study established criteria for a landslide early warning system (LEWS) using a Bayesian model and optimal thresholds for cumulative event rainfall-duration (ED), improving landslide monitoring and warning efficiency.
Article
Engineering, Geological
Enrico Conte, Luigi Pugliese, Antonello Troncone
Summary: This study presents a practical method for predicting shallow landslide triggers based on physically-based models and derived closed-form expressions. The approach considers two typical triggering mechanisms and provides rainfall threshold curves that explicitly depend on basic parameters.
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
(2022)
Article
Environmental Sciences
Wei Shi, Guan Chen, Xingmin Meng, Shiqiang Bian, Jiacheng Jin, Jie Wu, Fengchun Huang, Yan Chong
Summary: Remote sensing is of great importance in the study of natural hazards. This research examines the formation and potential outburst scenarios of a small-scale landslide hazard chain event through the comprehensive use of remote sensing data, InSAR technology, ERT, and numerical simulations. The findings provide valuable insights for analyzing and managing similar hazard chains.
Article
Environmental Sciences
Yufei Song, Wen Fan, Ningyu Yu, Yanbo Cao, Chengcheng Jiang, Xiaoqing Chai, Yalin Nan
Summary: This study proposes a new method for calculating the spatiotemporal probability of rainfall-induced landslides based on a Bayesian approach and develops a probabilistic-based early warning model at the regional scale. The results show that the proposed model has higher warning accuracy and economic benefits compared to the conventional model.
Article
Agronomy
Peng Shi, Mingxing Ren, Peng Li, Zhanbin Li, Jingmei Sun, Zhiqiang Min, Shijie Ding
Summary: This study evaluated the effects of 15-year vegetation restoration on the organic carbon content of soil aggregates in the Wangmaogou Watershed in China. The results showed that vegetation restoration improved the organic carbon content of soil aggregates, which was positively correlated with soil aggregate stability and negatively correlated with soil erosion rate. The levels of soil aggregates in vegetated lands were higher than those in sloping cropland, and following vegetation restoration, the composition of soil aggregates changed.
ARCHIVES OF AGRONOMY AND SOIL SCIENCE
(2023)
Article
Agronomy
Lie Xiao, Fangyuan Liu, Peng Li, Meng Zhao, Sha Xue
Summary: This study investigated the changes in rhizosphere-specific enzyme activity during plant secondary succession in abandoned farmlands on the Loess Plateau. The results showed that the activity of various enzymes significantly decreased with succession. Soil chemical properties, such as SOC, TN, and aP, were found to be important factors influencing the enzyme activities.
ARCHIVES OF AGRONOMY AND SOIL SCIENCE
(2023)
Article
Environmental Sciences
Tian Wang, Jingsi Li, Jingming Hou, Peng Li, Shengdong Cheng, Feng Wang, Wen Wang, Zhanbin Li, Reinhard Hinkelmann
Summary: A reliable sediment transport capacity function is developed for soil erosion prediction on the Loess Plateau of China, as the popular sediment transport capacity functions are questionable on loess slopes due to experimental conditions differences. A flume experiment was conducted to develop a suitable sediment transport capacity function, and the Govers (1990) function showed the best performance in the applicability evaluation. By introducing the cohesive sediment incipient motion velocity and determining the sediment particle parameter, the developed equation has a good performance with predicted values corresponding to measured values.
INTERNATIONAL JOURNAL OF SEDIMENT RESEARCH
(2023)
Article
Agronomy
Ying Liu, Peng Li, Yunxia Wang, Xiaoyang Xu
Summary: This study investigated the carbon and water coupling in different organs of a grassland plant under drought stress. The results showed that the plant responded to mild drought by increasing topsoil root density to absorb soil water and improve the water transfer ratio to the aboveground portion. Moreover, under mild drought, the plant exhibited a trade-off between increasing root carbon and water utilization and reducing old leaf and stem carbon and water utilization.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Soil Science
Lie Xiao, Xuxu Min, Guobin Liu, Peng Li, Sha Xue
Summary: This study found that plant-plant interactions, drought stress, and sampling year significantly influenced nutrient contents and enzyme activities in the rhizosphere soil. The duration of plant-plant interactions had a significant impact on carbon flows and nutrient cycling in plant-soil systems. Drought stress increased microbial carbon and phosphorus limitation, but these limitations showed a decreasing trend in the second year.
APPLIED SOIL ECOLOGY
(2023)
Article
Green & Sustainable Science & Technology
Shutong Yang, Peng Shi, Peng Li, Zhanbin Li, Hongbo Niu, Pengju Zu, Lingzhou Cui
Summary: The Loess Plateau is a heavily soil-eroded area, and the Chinese government has implemented the Grain for Green Project to increase vegetation coverage. Understanding the temporal and spatial variation of ecosystem services in the region is crucial for re-vegetation and watershed management. This study analyzed the changes in carbon storage, soil conservation, and water yield in three watersheds using the InVEST model. The results showed positive trends in ecosystem services and trade-offs among different services.
Article
Geosciences, Multidisciplinary
Peng Shi, Lulu Bai, Zhun Zhao, Jingbing Dong, Zhanbin Li, Zhiqiang Min, Lingzhou Cui, Peng Li
Summary: The distribution of vegetation has an impact on soil carbon loss. It is suggested to restore vegetation in the down-slope area to reduce runoff, sediment, and soil carbon losses.
Article
Environmental Sciences
Lulu Bai, Peng Shi, Zhanbin Li, Peng Li, Zhun Zhao, Jingbin Dong, Lingzhou Cui, Hongbo Niu, Pengju Zu, Manhong Cao
Summary: Restoring vegetation and constructing check dams play important roles in controlling water erosion in slope-gully systems. This study investigates the synergistic effects of vegetation patterns and siltation-induced runoff path length decrease (RPLD) on reducing water erosion. The results show that combined measures have a greater reduction in soil and water loss compared to a single measure. Revegetation of the lower parts of the slope, along with check dams, is more effective in controlling soil erosion.
LAND DEGRADATION & DEVELOPMENT
(2023)
Article
Environmental Sciences
Yixin Zhang, Peng Li, Guoce Xu, Zhiqiang Min, Qingshun Li, Zhanbin Li, Bin Wang, Yiting Chen
Summary: This study analyzed the spatiotemporal variation characteristics of four types of extreme precipitation (front extreme precipitation, late extreme precipitation, balanced extreme precipitation, and single day extreme precipitation) in the Loess Plateau region from 1960 to 2019. The findings showed that single day extreme precipitation accounted for 34% of the total extreme precipitation and dominated the region, while balanced extreme precipitation associated with preceding and succeeding precipitation accounted for 66%. Furthermore, global warming could lead to an increase in single day extreme precipitation and changes in the distribution of continuous extreme precipitation in the future. The concept of process-oriented extreme precipitation could facilitate the understanding of disaster-causing processes and the construction of disaster characteristics.
JOURNAL OF ARID LAND
(2023)
Article
Forestry
Binhua Zhao, Zeyu Ma, Peng Li, Yaotao Xu, Guojun Zhang, Wentao Ma, Zhengyan Ren
Summary: The drivers and spatial distribution trends for net primary productivity (NPP) in Ningxia were studied to determine priority vegetation restoration areas. The NPP showed a positive fluctuation from 2000 to 2020, with a more obvious divergent spatial distribution. Future NPP trends in Ningxia are expected to vary, with different scenarios of continuous increase, continuous decrease, change from increase to decrease, and change from decrease to increase.
Article
Environmental Sciences
Binhua Zhao, Tao Xin, Peng Li, Fangming Ma, Bei Gao, Rong Fan
Summary: This study assesses the influence of the check dam system on sub-storm floods in a typical governance watershed of the Loess Plateau. It finds that the check dam system significantly reduces flood peak flow and volume while increasing flood duration. The reduction rate of peak flow, volume, and the increase rate of duration all increase linearly with the number of check dams. The check dams also decrease the flow rate, velocity, and erosion intensity, with greater impact on shorter return periods.
Article
Environmental Sciences
Xiaoping Liu, Shengdong Cheng, Zhanbin Li, Peng Li, Tian Wang, Xingyue Guo, Ziyao Miao, Naichang Zhang, Yongxiang Cao
Summary: This study analyzes the evolutionary characteristics of sewage treatment carbon emissions and their coupling relationship with economic development in an energy and chemical industry park. The results show that sewage treatment carbon emissions have been increasing year by year, with indirect carbon emissions dominating. The coupling relationship between sewage treatment carbon emissions and the economy has transformed from serious imbalance to lagging economic development. The coordinated development degree between the two systems has gradually increased, forming a beneficial mutual feedback mechanism. However, regional economic development has been affected by the COVID-19 pandemic, highlighting the need to accelerate economic development while protecting the environment.
Article
Green & Sustainable Science & Technology
Xingyue Guo, Tian Wang, Zhanbin Li, Shengdong Cheng, Peng Li, Hongtao Li, Naichang Zhang, Xiaoping Liu, Ziyao Miao
Summary: This study investigates the spatial and temporal variations in vegetation in the Jialing River Basin from 2000 to 2020 and analyzes the direct and indirect effects of surface, human activities, and climate factors on vegetation growth using PLS-SEMs models. The results show that the vegetation center gradually migrates northwards, surface factors have a direct and positive impact on the NDVI, human activities have a direct and negative impact, and climate factors have a mainly positive impact. The research provides a theoretical basis for future ecological restoration projects and the construction of ecological civilizations.
Article
Green & Sustainable Science & Technology
Xue Li, Kunxia Yu, Xiang Zhang, Guojun Zhang, Zhanbin Li, Peng Li, Xiaoming Zhang, Yang Zhao, Wentao Ma
Summary: This study analyzed the spatial and temporal variation of vegetation cover in different geomorphic zones of the Loess Plateau using MODIS NDVI and meteorological data. The results showed spatial differences in vegetation coverage among different regions, with the Loess Hills and Forest zone having the highest coverage and the Arid Grassland having the poorest. Overall, there has been improvement in vegetation coverage over the past two decades, although some regions show signs of degradation. Relative humidity has the greatest impact on vegetation, and human activities play a crucial role in promoting vegetation in certain zones.
Article
Environmental Sciences
Zixuan Yan, Peng Li, Zhanbin Li, Yaotao Xu, Chenxu Zhao, Zhiwei Cui
Summary: This research focuses on the Weihe River Basin and explores the impact of land use and slope on basin water quality. The results indicate a strong correlation between water quality and land use, with the riparian scale being the best spatial scale model. Multiple time and spatial scales are important to reveal the complex relationship between land use and water quality. Watershed water quality management should incorporate multi-scale landscape planning measures.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)