Article
Environmental Sciences
Shuhab D. Khan, Otto C. A. Gadea, Alyssa Tello Alvarado, Osman A. Tirmizi
Summary: This study reports substantial ground subsidence in Greater Houston and adjoining areas, with the main driver being groundwater pumping in the suburbs and oil/gas withdrawal in specific locations. Surface deformation was observed using InSAR data, and correlation analysis was performed with groundwater level and oil/gas well data. The study also identified active faults in the region.
Article
Environmental Sciences
Hengliang Guo, Yonghao Yuan, Jinyang Wang, Jian Cui, Dujuan Zhang, Rongrong Zhang, Qiaozhuoran Cao, Jin Li, Wenhao Dai, Haoming Bao, Baojin Qiao, Shan Zhao
Summary: Rapid urban development in China has led to increased land subsidence, posing a potential threat to sustainable urban development. In this study, the SBAS-InSAR technology was applied to monitor land subsidence in Henan Province from November 2019 to February 2022. A LSTM-TCN deep learning model was proposed to predict land subsidence and explore the influence of environmental factors. The results showed noticeable and uneven land subsidence in Henan Province, with a maximum subsidence velocity of -94.54 mm/yr and an uplift velocity of 41.23 mm/yr. The LSTM-TCN model demonstrated higher prediction accuracy compared to individual LSTM and TCN models, and the inclusion of environmental factors improved the prediction accuracy further.
Article
Engineering, Geological
Da Ha, Gang Zheng, Hugo A. Loaiciga, Wei Guo, Haizuo Zhou, Jinchun Chai
Summary: A large volume of groundwater is extracted annually in Tianjin Municipality for various uses, leading to land subsidence. Installation of field observation wells has been used to monitor the long-term groundwater level, indicating a decline over the past 50 years due to overexploitation in urban and coastal areas.
Article
Environmental Sciences
Guangrong Li, Chaoying Zhao, Baohang Wang, Xiaojie Liu, Hengyi Chen
Summary: Artificial islands and land reclamation are crucial for expanding urban space in coastal cities, but they can cause ground subsidence. Monitoring land subsidence and predicting future deformation trends are important for mitigating damage and implementing effective measures. This research collected SAR images and used various methods to detect and predict land deformation in Xiamen and Zhangzhou cities, providing valuable guidance for the design and construction of infrastructure in these areas.
Article
Engineering, Civil
Wei Tang, Xiangjun Zhao, Gang Bi, Mingjie Chen, Siyu Cheng, Mingsheng Liao, Wenjun Yu
Summary: Seasonal surface deformation is related to groundwater extraction and recharge, and plays a role in guiding groundwater management and subsidence mitigation. In the Taiyuan basin, Northern China, seasonal ground displacement in response to aquifer compaction and expansion was observed, with a one-year periodicity. The deformation showed a correlation with groundwater levels and precipitation patterns.
JOURNAL OF HYDROLOGY
(2023)
Article
Geosciences, Multidisciplinary
Xuguo Shi, Shaocheng Zhang, Mi Jiang, Yuanyuan Pei, Tengteng Qu, Jinhu Xu, Chen Yang
Summary: Ground subsidence is a common geohazard in urban areas, with Wuhan experiencing significant issues due to soft foundation subsidence and karst collapse. Utilizing SAR images, the study found a correlation between subsidence in Wuhan and the distribution of engineering geological subregions. Ongoing construction activities were identified as the driving factor behind the subsidence, with subsidence centers shifting with construction intensities.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2021)
Article
Green & Sustainable Science & Technology
Yong Han, Guangchun Liu, Jie Liu, Jun Yang, Xiangcheng Xie, Weitao Yan, Wenzhi Zhang
Summary: Jiaozuo, located in northwest Henan Province, is one of China's major anthracite production bases. Due to mining history, urbanization, and human activities, the area is prone to land subsidence, posing a threat to urban infrastructure and people's lives. Traditional leveling techniques are insufficient for monitoring large areas of land subsidence, and conventional methods may not provide timely results.
Article
Environmental Sciences
Yizhan Zhao, Lv Zhou, Cheng Wang, Jiahao Li, Jie Qin, Haiquan Sheng, Liangke Huang, Xin Li
Summary: This article investigates the land subsidence situation in Wuhan and finds that it is unevenly distributed and related to building intensity. The most severe subsidence occurs near Qingling in Hongshan District, which is associated with subway and building construction. Seasonal changes and rainfall are found to affect land subsidence, while the change in the water level of the Yangtze River has a small overall impact. An obvious uplift is observed in Caidian District, possibly due to the expansion effects of expansive clay.
Article
Remote Sensing
Chuanhao Pu, Qiang Xu, Kuanyao Zhao, Wanlin Chen, Xiaochen Wang, Huajin Li, Jialiang Liu, Pinglang Kou
Summary: This study investigated the spatiotemporal development pattern and long-term temporal response of land subsidence related to land creation in the Yan'an New District (YND) in China. It revealed that the observed long-term subsidence patterns in the land creation area showed an exponentially decaying trend with the fill compaction process. The spatial variation in the significant land subsidence zone gradually shifted toward the newly formed fill area as the land creation area expanded. Additionally, the ground displacement response estimates highlighted that most of the Qiaoergou subsidence zone in the YND will continue to sink for approximately 7.2 years.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Article
Environmental Sciences
Zechao Bai, Yanping Wang, Mengwei Li, Ying Sun, Xuedong Zhang, Yewei Wu, Yang Li, Dan Li
Summary: This study used improved PS-InSAR technology to determine high-precision land subsidence in Singapore from 2015 to 2019. By integrating geological, topographical, and global sea level rise data, the causes and impacts of land subsidence in Singapore were investigated. The results show that severe subsidence areas coincide with land reclamation areas, mainly due to soil consolidation. The maximum inundation depth in Singapore by 2050 is estimated to be 1.24 m, with the Marina Bay area being the most vulnerable to sea level rise. This study provides data support and a scientific basis for understanding the impact of land subsidence on Singapore's coastal areas.
Article
Water Resources
Omid Memarian Sorkhabi, Jamal Asgari
Summary: This study investigates the land subsidence and groundwater depletion in the Kabudarahang Plain and the Razan-Qahavand Plain using multi-sensor observations. The results show that the maximum land subsidence rates are 20 mm/year and 30 mm/year respectively, and the groundwater storage variations have a decreasing trend of 78.45 +/- 0.2 million cubic meters/year. The groundwater hydrograph in the study areas also shows a downward trend.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Environmental Sciences
Huimin Sun, Hongxia Peng, Min Zeng, Simiao Wang, Yujie Pan, Pengcheng Pi, Zixuan Xue, Xinwen Zhao, Ao Zhang, Fengmei Liu
Summary: The superimposed effects of sea level rise caused by global warming and land subsidence seriously threaten the sustainable development of coastal cities. A study using the SBAS-InSAR technique to monitor land subsidence in the coastal city of Zhuhai in China revealed extensive subsidence and identified factors triggering the subsidence. The research also assessed the vulnerability of certain communities and roads in Zhuhai to subsidence using comprehensive index method and the analytic hierarchy process.
Article
Engineering, Electrical & Electronic
Yueze Zheng, Junhuan Peng, Xue Chen, Cheng Huang, Pinxiang Chen, Sen Li, Yuhan Su
Summary: Due to overexploitation of water resources, ground subsidence has become a serious problem in Beijing, China's capital. This article investigates the relationship between ground subsidence, changes in groundwater depth, and water supply in a long-term perspective. The study uses multisource synthetic aperture radar (SAR) data and the interferometric SAR (InSAR) technique, combined with leveling and ground subsidence data from 2003 to 2020. The results show that ground subsidence in the plain area has steadily increased, but slowed down since 2016, thanks to the completion of the South-to-North Water Diversion Project (SNWDP) in 2008 and 2015, which reduced groundwater exploitation and increased water recycling.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Environmental Sciences
Jinhua Zhang, Changqing Ke, Xiaoyi Shen, Jinxin Lin, Ru Wang
Summary: Shanghai has experienced microscale land subsidence in recent years, affecting the operational safety of subways and other infrastructures. Using high-resolution TerraSAR-X images and the PS-InSAR method, the land subsidence along the subways in Shanghai was analyzed. The results showed overall stability in land subsidence along the subway lines, with significant deformation mainly occurring along suburban subways that were newly open to traffic. Factors such as human-induced ground loads, foundation pit constructions, and road constructions were identified as the main causes of local land subsidence. The rise in groundwater level was found to be closely related to the deceleration in land subsidence after the subway lines were open to traffic.
Article
Water Resources
Jiao Han, Huili Gong, Lin Guo, Xiaojuan Li, Lin Zhu, Beibei Chen, Qingquan Zhang, Le Wu, Jinyu Lei, Xueqi Zhu
Summary: This study reveals the spatial distribution of land subsidence in the Beijing-Tianjin-Hebei region from the mountains to the coastal area and infers the mechanisms behind it. The Changping-TongZhou district in Beijing experiences the most severe land subsidence on an overall scale. Severe subsidence is generally found in the central plain on a local scale. A positive correlation is observed between land subsidence and groundwater depletion on a typical regional scale.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Agriculture, Multidisciplinary
Yuntao Lu, Wei Hong, Zhenguo Liu, Ying Wang, Hongfang Wang, Wenfeng Chen, Shengping Liu, Yinfa Yan, Baohua Xu
Summary: This study uses Internet of Things technology to monitor the relationship between the orientation flight activities of young bees and colony development. The findings show that the ratio of young bees is closely associated with the trend in colony development, and can be used to predict colony trends and explore factors that trigger abnormal colony losses.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Engineering, Civil
Fenglin Xu, Guoqing Zhang, Shuang Yi, Wenfeng Chen
Summary: The study utilized multiple satellite altimetry data to investigate the seasonal trends of lake-level changes on the Tibetan Plateau, revealing the varying rates and seasonal patterns of water level changes in different lakes during different periods. The research also identified the geographical distribution characteristics of lake-level changes.
JOURNAL OF HYDROLOGY
(2022)
Article
Chemistry, Multidisciplinary
Wenfeng Chen, Weishu Xia, Shanshan Zhang, Erlei Wang
Summary: This study investigated the effect of groundwater variation on the bearing capacity of sandy shallow foundations through physical model experiments and numerical analysis. The results showed a negative correlation between water level height and foundation bearing capacity, and an increase in water level fluctuation range decreased the bearing capacity of the foundation. The findings of this study provide guidance for predicting the changes in bearing capacity of shallow foundations caused by water level variations.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Electrical & Electronic
Zirui Chen, Alei Chen, Weijian Liu, Wenfeng Chen, Xiaoyan Ma, Mingjiu Lv
Summary: This paper proposes a fast adaptive complex approximate message passing (CAMP) algorithm for reconstructing complex sparse signals from linear measurements of additive white Gaussian noise (AWGN) under the condition of unknown sparse signal distribution. The algorithm significantly reduces the mean square error and adapts to parameter selection.
DIGITAL SIGNAL PROCESSING
(2023)
Article
Geosciences, Multidisciplinary
Wenfeng Chen, Tandong Yao, Guoqing Zhang, R. Iestyn Woolway, Wei Yang, Fenglin Xu, Tao Zhou
Summary: During the extreme warming period, surface temperatures in glacial regions of the Tibetan Plateau have increased faster than non-glacial areas, and the duration and intensity of glacier surface heatwaves have significantly increased. These changes may pose potential threats to the sustainability of glacier water resources and increase the risk of glacier related hazards.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Geosciences, Multidisciplinary
Guoqing Zhang, Tobias Bolch, Tandong Yao, David R. Rounce, Wenfeng Chen, Georg Veh, Owen King, Simon K. Allen, Mengmeng Wang, Weicai Wang
Summary: According to satellite observations and bathymetric measurements, accounting for subaqueous melting from lake-terminating glaciers increases estimated glacier mass loss across the Himalaya by 7% over the past 20 years. This underestimation is due to the omission of subaqueous mass loss in geodetic methods, which do not account for the replacement of ice with lake water.
Article
Computer Science, Artificial Intelligence
Wenfeng Chen, Xinyan Huang
Summary: This research optimizes the application scope of the WCA algorithm by improving its operating mechanism and introducing other optimization strategies, allowing it to optimize multi-objective and multidimensional problems. Additionally, a physical test system and sports intelligent system based on a hybrid wolf pack algorithm and IoT were studied, enabling data collection, processing, and storage for high-precision, low-latency intelligent sports training.
Article
Soil Science
Lianyan Bu, Ziheng Peng, Jing Tian, Xinxin Zhang, Wenfeng Chen, Derong An, Gehong Wei, Honglei Wang
Summary: The desertification process leads to soil degradation, decreased soil carbon input, and increased environmental stress on soil microbes. This study found that the abundance and diversity of autotrophic microbes decreased during desertification, but the activity of soil microbial carbon fixation enzymes increased. Core autotrophic microbes drove the compositional difference of autotrophic microbes and affected soil carbon fixation activity, emphasizing their importance in maintaining carbon sequestration during desertification.
APPLIED SOIL ECOLOGY
(2023)
Article
Biodiversity Conservation
Dan Liu, Wenfeng Chen, Linna Li
Summary: This study quantitatively disentangles the contributions of climate change and anthropogenic activities to paddy field expansion, and applies these indicators to the case of northern Sanjiang Plain of China. It found that climate change has a slightly larger effect on paddy field expansion, but there is an inhibitory interactive effect between climate change and anthropogenic activities. These findings provide policy implications for sustainable agricultural practice in China and other developing countries.
ECOLOGICAL INDICATORS
(2023)
Article
Geography, Physical
Jing Leng, Mingliang Gao, Huili Gong, Beibei Chen, Chaofan Zhou, Min Shi, Zheng Chen, Xiang Li
Summary: Land subsidence is a significant constraint on the safe construction and sustainable development of cities. Accurate prediction of land subsidence is crucial for preventing and controlling subsidence. A ConvLSTM neural network-based approach is proposed for predicting land subsidence, which achieves more accurate predictions of subsidence progress and distribution.
JOURNAL OF GEOGRAPHICAL SCIENCES
(2023)
Article
Engineering, Civil
Menger Peng, Xue Wang, Guoqing Zhang, Georg Veh, Ashim Sattar, Wenfeng Chen, Simon Allen
Summary: This study investigates the causes, mechanisms, and flow dynamics of two glacial lake outburst floods (GLOFs) in the Nyainqentanglha range of the Tibetan Plateau. The results show that both GLOFs caused significant damage to local infrastructure and vegetation, and involved processes such as glacier collapse, displacement waves, and dam breaches. The findings provide important insights for assessing and managing the hazards associated with critical glacial lakes in the region.
JOURNAL OF HYDROLOGY
(2023)
Proceedings Paper
Energy & Fuels
Shubing Zeng, Wendong Li, Wenfeng Chen, Pengpeng Ju, Zhenyou Zhang, Panfeng Zhang
Summary: There is a significant challenge regarding flow assurance at the choke for high-pressure and low-temperature conditions. Analyzing and determining the subcooling degree and existence time of hydrate risk at the choke is crucial for hydrate management. This study analyzed the hydrate risk during low production and restart processes at the choke, and calculated the subcooling degree and existence time of hydrate risk. The results show that there is always hydrate risk at the upstream and downstream of the choke during the early stage of low production with high reservoir pressure. The subcooling degree gradually decreases with increasing gas production, and there is no risk of hydrate formation at the upstream and downstream when the gas production is sufficiently high. During the restart process, the maximum subcooling degree at the downstream of the choke is 33.25 degrees C, and the hydrate risk duration is 102 min.
PROCEEDINGS OF THE 3RD INTERNATIONAL SYMPOSIUM ON NEW ENERGY AND ELECTRICAL TECHNOLOGY
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Chang Liu, Zhixun Wang, Tian Quan, Wenfeng Chen, Hongyuan Gao, Donghai Chen, Zhixun Jiang, Wei Wang
Summary: This study analyzes the voltage disturbances experienced by wind turbines when the thermoelectric generating set of the wind-thermal bundled system is withdrawn from operation, resulting in weak reactive power support. The probability distribution model of the electrified traction load is established, and the reactive power regulation range of the doubly fed induction generator is calculated. By constructing a time-domain simulation model and adjusting the critical value of tripping, the operational risk index of the wind turbines is calculated. The results show that the access of impact load increases the risk of tripping for wind turbines, highlighting the need for emergency control strategies to reduce the operational risk level.
2022 4TH ASIA ENERGY AND ELECTRICAL ENGINEERING SYMPOSIUM (AEEES 2022)
(2022)
Article
Computer Science, Information Systems
Xu Wei, Jun Yang, Mingjiu Lv, Wenfeng Chen, Xiaoyan Ma
Summary: This paper proposes a novel TMC method for ISAR imaging by establishing a signal model of joint phase adjustment and ISAR imaging, designing an improved global minimum entropy (IGME) and range joint fast orthogonal matching pursuit (RJFOMP) algorithm, and realizing the joint optimization of phase adjustment and ISAR imaging. Extensive experiments based on both simulated and measured data demonstrate that the proposed method is effective for different modes of motion errors and has excellent imaging performance under noisy and sparse conditions.
Article
Geography, Physical
Wenfeng Chen, Tandong Yao, Guoqing Zhang, Fei Li, Guoxiong Zheng, Yushan Zhou, Fenglin Xu
Summary: Accurate estimation of regional ice thickness is crucial for assessing freshwater resources and sea level rise. This study evaluates the performance of six widely used global-scale digital elevation models (DEMs) for ice thickness modeling over the glacierized Tibetan Plateau, and reveals NASADEM to be the best performer. Comparisons with ICESat-2 laser altimetry data show that NASADEM has the smallest mean error and root mean squared error among the six DEMs.
