China Geology最新文献

{"title":"A statistical model for predicting rock avalanche runout using source area width from 63 representative cases","authors":"Rui-chen Chen ,&nbsp;Jian Chen ,&nbsp;Sheng Ma ,&nbsp;Zi-ang Yan ,&nbsp;Qian Shi","doi":"10.31035/cg2024061","DOIUrl":"10.31035/cg2024061","url":null,"abstract":"<div><div>Developing predictive models for rock avalanche runout is crucial for hazard risk mitigation and management, while also deepening the understanding of rock avalanche dynamics. In this study, a database of 63 representative rock avalanches was compiled, and the geometric characteristics of these events were analyzed. Traditional regression methods were compared with neural network regression (NNR) approaches to find the optimal model. Model parameters, loss functions, and evaluation metrics were examined to determine optimal configurations. Based on correlation analyses and model performance, this study recommends the use of source area width as an alternative to failure volume in runout prediction models, effectively addressing the common challenge of estimating avalanche volume. Ultimately, an NNR-based model, utilizing mean squared logarithmic error as the loss function and incorporating source area width and fall height as input parameters, was identified as the optimal approach. This model achieved prediction errors within a -50% to 50% range with 95.2% probability, yielding a mean absolute percentage error of 23.22% and an <em>R²</em> of 0.85. These findings enhance rock avalanche prediction methodologies, providing more accurate tools for assessing the potential impact zones of destructive geological events.</div></div>","PeriodicalId":45329,"journal":{"name":"China Geology","volume":"9 2","pages":"Pages 366-382"},"PeriodicalIF":4.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147994700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geochemical characteristics and geological genesis of soil selenium anomaly zone in the Hetao Plain, Inner Mongolia, and crop biological effects-based assessment of selenium-rich cultivated land development potential","authors":"Yong-chun Li ,&nbsp;Guo-dong Chen ,&nbsp;Yu-chun-zi Du ,&nbsp;Jiu-fen Liu ,&nbsp;Xue-zhen Li ,&nbsp;Hong-bing Hou","doi":"10.31035/cg2024037","DOIUrl":"10.31035/cg2024037","url":null,"abstract":"<div><div>Exploring the geological genesis of selenium (Se) in Se-rich soil of the Hetao Plain, a major grain production base of corn, wheat, potato, sunflower and zucchini in northern China, is vital for the rational development of Se-rich land resources and the environmental geochemical assessment. In this study, element geochemical characterization, geospatial analysis and mathematical statistics were employed to investigate the factors influencing the spatial distribution of soil Se in the Hetao Plain, focusing on the differences in soil chemical weathering intensity, rare earth elements distribution pattern and soil sedimentary sequence characteristics between the study area and typical surrounding parent materials. The results indicated that the soil Se content in the study area ranged from 0.07 mg/kg to 0.72 mg/kg, with an average value of 0.24 mg/kg, which was higher than the regional background values. Moreover, this suggested that local Se enrichment occurred in the soil of study area, and that the Se distribution was restricted by factors including soil clay minerals, constant elements and soil organic matter (SOM) contents. The characteristics of soil parent material in the study area differed significantly from those of the piedmont diluvial parent material, whereas were similar to those of the Yellow River floodplain and lacustrine parent materials, revealing that the soil parent material in the study area mainly came from the water system transportation. Through combining the characteristics of soil sedimentary sequences in the study area with the location of the Yellow River ancient channel, it is suggested that the origin of high Se soil in the central and northern belt zone of the study area is associated with the Yellow River ancient channel, where the enrichment pattern is “channel sedimentary type”. In addition, the development and utilization potential of Se-rich cultivated land was explored based on the biological effects of Se. It was concluded that the Se content of crops (corn, sunflower and zucchini) in the study area was higher than that of similar crops in China, that crop species and soil Se content were the dominant influencing factors of crop Se content in the study area, and that the crops growing in Se-rich areas had higher Se enrichment rate than those growing in non-Se-rich areas. This exhibited a high development and utilization potential of the investigated cultivated land for Se-rich crop production.</div></div>","PeriodicalId":45329,"journal":{"name":"China Geology","volume":"9 2","pages":"Pages 303-315"},"PeriodicalIF":4.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147994801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rebirth of abandoned mines: A carbon emission industrial chain of “photovoltaic power generation-ecological restoration-land development-agricultural planting”","authors":"Liang Shen ,&nbsp;Jie Meng ,&nbsp;Rui-ling Li ,&nbsp;Yan-qiu Zhang ,&nbsp;Hui Guo ,&nbsp;Li-qiong Jia ,&nbsp;Ke-bing Li","doi":"10.31035/cg2026020","DOIUrl":"10.31035/cg2026020","url":null,"abstract":"","PeriodicalId":45329,"journal":{"name":"China Geology","volume":"9 2","pages":"Pages 436-438"},"PeriodicalIF":4.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147994794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Distributions and influencing factors of selenium in soils and edible wild mushrooms and the development and utilization of high-quality wild mushrooms (Boletus, Ramaria botrytoides, Russula virescens)","authors":"Lei Xu ,&nbsp;Meng-sheng Zhao ,&nbsp;Yan-xun Cheng ,&nbsp;Yao-tang Zhang ,&nbsp;Ji-yun Guan ,&nbsp;Fang-fang Lu ,&nbsp;Chang-wei Linghu ,&nbsp;Yong-sheng Yuan","doi":"10.31035/cg2024039","DOIUrl":"10.31035/cg2024039","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Selenium (Se) serves as a trace element essential for the human body owing to its significant physiological functions and extensive pharmacological effects. The Se required by the human body is primarily obtained from soil-derived foods. This study revealed Se-rich soils covering a certain area and Se-rich edible wild mushrooms with high Se accumulation rates in Chuxiong, central Yunnan Province, China through a geochemical survey of soil quality. Furthermore, this study investigated the Se migration and transformation mechanisms in the soil-wild mushroom system, aiming to provide a scientific basis for the development and planning of Se-rich green foods in the study area. Using the geochemical data of samples collected from topsoils, deep soils, and wild mushrooms and their root soils in Nanhua County, Chuxiong, this study analyzed the Se contents in soils and wild mushrooms and their root soils and explored the mechanisms and influencing factors of Se enrichment in wild mushrooms. The results indicate that the topsoils in the study area exhibit Se contents ranging from 0.07 mg/kg to 0.95 mg/kg, with an arithmetic average of 0.25 mg/kg. The Se-rich soils cover an area of 356 km², which accounts for 13.07% of the total topsoil area. The wild mushrooms in the study area display Se contents varying from 0.004 mg/kg to 47.10 mg/kg, with a median of 0.977 mg/kg. The analyses of Moran’s index and semivariogram indicate that the Se content distributions in both topsoils and deep soils in the study area exhibit distinct spatial structures. Specifically, the semivariogram model for the Se content in the deep soils emerges as a Gaussian model, and the Se content exhibits a nugget-to-sill ratio of 21.72%, suggesting that the Se content in deep soils is primarily influenced by structural factors such as parent materials. Se in the soils originates primarily from soil-forming parent rocks, with the origin of the Se-rich soils closely related to Triassic black shales, thin coal seams, and metamorphic rocks in the Ailao Mountain area. The wild mushrooms in the study area enjoy significantly higher Se content than other reported naturally Se-rich agricultural products, with a Se accumulation rate of up to 92.31% and an overall over-limit ratio of Pb and Cd of merely 11.54%, suggesting that the study area has substantial potential for the development of naturally Se-rich green foods. The wild mushrooms in the study area exhibit bioconcentration factors (&lt;em&gt;BCF&lt;/em&gt;s) of Se ranging from 0.02 to 157.00 (median: 4.26), with Se bioavailability decreasing in the order of &lt;em&gt;Boletus edulis, Boletus aereus, Leccinum nigrescens, Ramaria botrytoides, and Russula virescens&lt;/em&gt;. For the Se absorption and enrichment in the wild mushrooms, the primary controlling factor is identified as the wild mushroom species. Furthermore, they are significantly influenced by the Se content in soils but are minimally affected by the physicochemical indicators of soils.&lt;/div&gt;&lt;","PeriodicalId":45329,"journal":{"name":"China Geology","volume":"9 2","pages":"Pages 290-302"},"PeriodicalIF":4.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147994800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Paleoproterozoic collision in the Yangtze Craton: Constraint from rutile and zircon U-Pb dating of the khondalite series in the Kongling Complex","authors":"Yu Shi ,&nbsp;Zhi-xian Tian ,&nbsp;Song-bai Peng ,&nbsp;Jie Yang ,&nbsp;Yuan-yuan Tang","doi":"10.31035/cg2025091","DOIUrl":"10.31035/cg2025091","url":null,"abstract":"","PeriodicalId":45329,"journal":{"name":"China Geology","volume":"9 2","pages":"Pages 433-435"},"PeriodicalIF":4.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147991265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel method for automatic river channel morphology extraction from remote sensing satellite images: A case study of the Golmud fluvial fan","authors":"Shao-hua Zhao,&nbsp;Chang-min Zhang,&nbsp;Xiang-hui Zhang,&nbsp;Jia-le Liu","doi":"10.31035/cg2025057","DOIUrl":"10.31035/cg2025057","url":null,"abstract":"<div><div>Distributive Fluvial Systems (DFS) are critical sedimentary systems governing fluvial dynamics, sediment transport, and ecosystem sustainability in modern and ancient basins. Accurate quantification of DFS channel morphology is essential for advancing sedimentary modeling, optimizing water resource management, and mitigating fluvial hazards. Here, the authors present a novel automated framework that extracts DFS channel networks from remote sensing imagery by integrating multiscale image segmentation, fractal network evolution, and region-merging algorithms. Through hierarchically multiresolution feature processing, this method overcomes limitations of traditional single-scale analysis, enabling adaptive extraction while reducing segmentation heterogeneity. Specifically, the workflow consists of three stages: Image segmentation, feature extraction, and image classification. When applied to the Golmud fluvial fan (Qinghai, China), this approach achieves 90.2% overall channel extraction accuracy using 0.5 m resolution imagery, significantly outperforming traditional DEM-based (81.7%) and water spectral methods (85.4%) in resolving fine-scale channel networks. Crucially, the framework demonstrates robust adaptability to complex sedimentary environments with variable vegetation cover (&lt;30% density) and spectral noise, providing a time-efficient, data-agnostic solution for DFS characterization.</div></div>","PeriodicalId":45329,"journal":{"name":"China Geology","volume":"9 2","pages":"Pages 333-348"},"PeriodicalIF":4.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147994803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Zircon and cassiterite U-Pb age constraining Eocene mineralization of the Mawchi Sn-W deposit, Kayah State, Eastern Myanmar","authors":"Hui-min Liang ,&nbsp;Yong-fei Yang ,&nbsp;Shu-sheng Liu ,&nbsp;Bin Zhang ,&nbsp;Lin-nan Guo ,&nbsp;Yao-yao Duan ,&nbsp;De-kun Zhao","doi":"10.31035/cg2024104","DOIUrl":"10.31035/cg2024104","url":null,"abstract":"","PeriodicalId":45329,"journal":{"name":"China Geology","volume":"9 2","pages":"Pages 430-432"},"PeriodicalIF":4.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147991264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hydrogeological flow patterns and hydrochemical driving forces of groundwater in a typical coastal hilly region of the Jinjiang watershed, Southeast China: Recommendations for water pollution control and management","authors":"Zhong-shuang Cheng ,&nbsp;Chen Su ,&nbsp;Wen-zhong Wang ,&nbsp;Bing-yan Li ,&nbsp;En-de Zuo ,&nbsp;Yu-meng Tian ,&nbsp;Zhao-xian Zheng","doi":"10.31035/cg2024185","DOIUrl":"10.31035/cg2024185","url":null,"abstract":"<div><div>Coastal groundwater (CGW) systems in rapidly urbanizing regions face critical challenges in achieving Sustainable Development Goal (SDG), where anthropogenic pressures intersect with hydrogeological vulnerability. This study employs coupled isotopic-hydrogeochemical analysis and geostatistics to unravel hydrochemical driving forces compromising groundwater quality in the Jinjiang Downstream Watershed (DJW), Southeast China. The results indicated that groundwater was predominantly recharged from local atmospheric precipitation and lateral recharge from the adjacent boundaries. Hydrochemical distributions exhibited a distinct pattern, transitioning from HCO₃-Ca to HCO₃·Cl-Ca, and then to Cl-Mg·Ca/Na·Ca, reflecting processes ranging from freshwater recharge to seawater intrusion (SWI). Elevated nitrates were primarily attributed to domestic sewage leakage and septic tank leaching. Additionally, preferential flow posed a risk to deep groundwater quality, by facilitating the rapid transport of contaminants through rock fractures. Key driving forces of hydrochemistry included silicate dissolution with local runoff paths, SWI, and human activities. The study advocates for a governance paradigm integrating electrochemical sensor networks with machine learning-driven contaminant prediction and phased membrane bioreactor deployment, which synergistically reduce nitrate fluxes while maintaining aquifer freshening processes. This integrated approach establishes a scalable model for SDG-aligned groundwater management in vulnerable coastal zones, demonstrating how process-based insights can bridge scientific discovery and water security implementation.</div></div>","PeriodicalId":45329,"journal":{"name":"China Geology","volume":"9 2","pages":"Pages 316-332"},"PeriodicalIF":4.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147994802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A new integrated 3D modeling method based on multisource heterogeneous geological data and its application","authors":"Zhao-yang Ma ,&nbsp;Sen Zhang ,&nbsp;Jie Li ,&nbsp;Ya-kai Qiao ,&nbsp;Hua-feng Sun ,&nbsp;Fateh Bouchaala","doi":"10.31035/cg2024063","DOIUrl":"10.31035/cg2024063","url":null,"abstract":"<div><div>With continuous advancement in geological studies, three-dimensional (3D) geological modeling technology based on big data and artificial intelligence (AI) has become a prominent focus in the interdisciplinary field of earth and information sciences. Through the analysis and comparison of existing 3D modeling methods, this study introduces a high-precision 3D geological modeling approach. The new method leverages advanced computing technologies, including multisource heterogeneous data processing, integrated model databases, seamless splicing of local models, and cluster analysis. Furthermore, it enables unified 3D visualization of subsurface and surface conditions, providing new insights into disaster prevention, mitigation, and intelligent mineral exploration. To validate its practicality, this study conducts 3D geological modeling of the X area within the Sichuan Basin, China. The data sources include remote sensing images, geological maps, geophysical data, borehole data, and X-ray fluorescence (XRF) spectroscopy data. Preliminary exploration in the X area has successfully identified new mineralization belts, verifying the feasibility and effectiveness of the new 3D geological modeling method that integrates big data processing and intelligent techniques.</div></div>","PeriodicalId":45329,"journal":{"name":"China Geology","volume":"9 2","pages":"Pages 383-399"},"PeriodicalIF":4.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147994701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial Committee of China Geology","authors":"","doi":"10.1016/2096519226000182","DOIUrl":"10.1016/2096519226000182","url":null,"abstract":"","PeriodicalId":45329,"journal":{"name":"China Geology","volume":"9 2","pages":"Pages 439-442"},"PeriodicalIF":4.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147994795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}