Showing 21 - 31 results of 31 for search '"Counties of China"', query time: 0.04s Refine Results
  1. 21

    APPLICATION OF SINMAP AND ANALYSIS OF MODEL SENSITIVITY – CASE STUDIES FROM GERMANY AND CHINA by BENNI THIEBES, RAINER BELL, THOMAS GLADE, JIAN WANG, SHIBIAO BAI

    Published 2016-07-01
    “…In this study, the physically-based model SINMAP (Stability Index Mapping) was applied to two study areas with different geo-environmental conditions; one in the Swabian Alb, Germany, and one in Youfang catchment, Wudu county, Western China. A sensitivity analysis of the geotechnical input parameters was carried out to determine their influence on model outputs. …”
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  2. 22

    Evaluation of Soil Quality for Different Types of Land Use Based on Minimum Dataset in the Typical Desert Steppe in Ningxia, China by Ying Tian, Zhe Xu, Jun Wang, Zhanjun Wang

    Published 2022-01-01
    “…This research used the total dataset (TDS), minimum dataset (MDS), approaches dealing with selecting better indexes, and scoring methods utilizing linear and nonlinear expressions to assess the typical desert grasslands in Yanchi County, Ningxia, China. The utilization of four different lands such as forestland (FL), shrubland (SL), natural restoration grassland (GL), and abandoned farmland (AL) in the study area were researched. …”
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  3. 23

    A Stepwise Discrimination Method of Multi-Index in Landslide Stability Monitoring by Hao Chen, Honggang Wu

    Published 2022-01-01
    “…Relied on the monitoring data on deep displacement of borehole of a landslide in Wushan County, Chongqing, China, this study finds that a single index is easily disturbed by external factors, causing the abnormal mutation in curve which affects analysis of landslide deformation. …”
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    An Integrated Stacking Ensemble Model for Natural Gas Purchase Prediction Incorporating Multiple Features by Junjie Wang, Lei Jiang, Le Zhang, Yaqi Liu, Qihong Yu, Yuheng Bu

    Published 2025-01-01
    “…The model was subsequently applied to predict natural gas purchase volumes in Pi County, Chengdu, China. In November 2024, a side-by-side comparison of the predicted and actual data revealed a maximum error of just 5.39%. …”
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    Reservoir water level decline accelerates ground subsidence: InSAR monitoring and machine learning prediction of surface deformation in the Three Gorges Reservoir area by Jiaer Yang, Jiaer Yang, Pinglang Kou, Pinglang Kou, Xu Dong, Xu Dong, Ying Xia, Qinchuan Gu, Yuxiang Tao, Jiangfan Feng, Qin Ji, Weizao Wang, Ram Avtar

    Published 2025-01-01
    “…This study combines SBAS-InSAR technology and machine learning to analyze and predict surface deformation in Fengjie County, Chongqing, China, between 2020 and 2022, focusing on riverside urban ground, riverside road slopes, and ancient landslides in the reservoir area.MethodsSBAS-InSAR technology was applied to 36 Sentinel-1A images to monitor surface deformation, complemented by hydrological and meteorological data. …”
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