Pub Date : 2024-08-14DOI: 10.1007/s12583-022-1794-y
Xin Qi, Yuyong Jiao, Qinghua Li, Bin Li
Obtaining geological and landform dislocation features, as well as the measured stratigraphic activity age, provides direct evidence to evaluate fault activity, which is more difficult to do in areas with low tectonic activity, such as eastern and central China. A detailed investigation of the fault activity, trenching, drilling joint geological profile, geological survey, and chronological analysis were used to obtain the spatial geometry, fault kinematics, and activity chronology of the Jiulong fault. The conclusions are as follows: (1) The Jiulong fault was a fracture zone composed of four branch faults, with a width of around 30–40 m and good extendibility, while the maximum surface rupture length was 373 m. (2) The Jiulong fault has many strata dislocations, and the dislocation distance decreased from bottom to top, demonstrating synsedimentary structure characteristics, with a maximum stratigraphic dislocation distance of 18.2 m. (3) Preliminary analysis suggested the Jiulong fault as a secondary fracture of the Xiangfan-Guangji fault zone and provided evidence of the southeastward extension of the Xiangfan-Guangji fault. A preliminary hypothesis purported the Xiangfan-Guangji fault as the seismogenic fault of the Ms 5.0 magnitude earthquake in 1911. (4) According to OSL and ESR dating analyses, the upper breakpoint of the Jiulong fault cuts into the Late Pleistocene Xingang Formation (Qp3x) strata, and the latest active age of the Jiulong fault was 57.6 ka. The chronology analysis confirmed an active fault from the Late Pleistocene and identified a weak tectonic in Jiujiang Province, which represents the largest active fault outcrop uncovered in the area so far. This study provides evidence and research materials for the evaluation of fault activity and seismic stability in this region.
{"title":"Quaternary Activity Characteristics and Regional Tectonic Significance of the Jiulong Fault in Jiujiang, Jiangxi Province, China","authors":"Xin Qi, Yuyong Jiao, Qinghua Li, Bin Li","doi":"10.1007/s12583-022-1794-y","DOIUrl":"https://doi.org/10.1007/s12583-022-1794-y","url":null,"abstract":"<p>Obtaining geological and landform dislocation features, as well as the measured stratigraphic activity age, provides direct evidence to evaluate fault activity, which is more difficult to do in areas with low tectonic activity, such as eastern and central China. A detailed investigation of the fault activity, trenching, drilling joint geological profile, geological survey, and chronological analysis were used to obtain the spatial geometry, fault kinematics, and activity chronology of the Jiulong fault. The conclusions are as follows: (1) The Jiulong fault was a fracture zone composed of four branch faults, with a width of around 30–40 m and good extendibility, while the maximum surface rupture length was 373 m. (2) The Jiulong fault has many strata dislocations, and the dislocation distance decreased from bottom to top, demonstrating synsedimentary structure characteristics, with a maximum stratigraphic dislocation distance of 18.2 m. (3) Preliminary analysis suggested the Jiulong fault as a secondary fracture of the Xiangfan-Guangji fault zone and provided evidence of the southeastward extension of the Xiangfan-Guangji fault. A preliminary hypothesis purported the Xiangfan-Guangji fault as the seismogenic fault of the <i>Ms</i> 5.0 magnitude earthquake in 1911. (4) According to OSL and ESR dating analyses, the upper breakpoint of the Jiulong fault cuts into the Late Pleistocene Xingang Formation (Qp<sup>3</sup><i>x</i>) strata, and the latest active age of the Jiulong fault was 57.6 ka. The chronology analysis confirmed an active fault from the Late Pleistocene and identified a weak tectonic in Jiujiang Province, which represents the largest active fault outcrop uncovered in the area so far. This study provides evidence and research materials for the evaluation of fault activity and seismic stability in this region.</p>","PeriodicalId":15607,"journal":{"name":"Journal of Earth Science","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142198407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Landslides are widespread geomorphological phenomena with complex mechanisms that have caused extensive causalities and property damage worldwide. The scale and frequency of landslides are presently increasing owing to the warming effects of climate change, which further increases the associated safety risks. In this study, the relationship between historical landslides and environmental variables in the Hanjiang River Basin was determined and an optimized model was used to constrain the relative contribution of variables and best spatial response curve. The optimal MaxEnt model was used to predict the current distribution of landslides and influence of future rainfall changes on the landslide susceptibility. The results indicate that environmental variables in the study area statistically correlate with landslide events over the past 20 years. The MaxEnt model evaluation was applied to landslide hazards in the Hanjiang River Basin based on current climate change scenarios. The results indicate that 25.9% of the study area is classified as a high-risk area. The main environmental variables that affect the distribution of landslides include altitude, slope, normalized difference vegetation index, annual precipitation, distance from rivers, and distance from roads, with a cumulative contribution rate of approximately 90%. The annual rainfall in the Hanjiang River Basin will continue to increase under future climate warming scenarios. Increased rainfall will further increase the extent of high- and medium-risk areas in the basin, especially when following the RCP8.5 climate prediction, which is expected to increase the high-risk area by 10.7% by 2070. Furthermore, high landslide risk areas in the basin will migrate to high-altitude areas in the future, which poses new challenges for the prevention and control of landslide risks. This study demonstrates the usefulness of the MaxEnt model as a tool for landslide susceptibility prediction in the Hanjiang River Basin caused by global warming and yields robust prediction results. This approach therefore provides an important reference for river basin management and disaster reduction and prevention. The study on landslide risks also supports the hypothesis that global climate change will further enhance the frequency and intensity of landslide activity throughout the course of the 21st Century.
{"title":"Predicted Climate Change will Increase Landslide Risk in Hanjiang River Basin, China","authors":"Xinggang Tang, Lingjian Wang, Huiyong Wang, Yingdan Yuan, Dou Huang, Jinchi Zhang","doi":"10.1007/s12583-021-1511-2","DOIUrl":"https://doi.org/10.1007/s12583-021-1511-2","url":null,"abstract":"<p>Landslides are widespread geomorphological phenomena with complex mechanisms that have caused extensive causalities and property damage worldwide. The scale and frequency of landslides are presently increasing owing to the warming effects of climate change, which further increases the associated safety risks. In this study, the relationship between historical landslides and environmental variables in the Hanjiang River Basin was determined and an optimized model was used to constrain the relative contribution of variables and best spatial response curve. The optimal MaxEnt model was used to predict the current distribution of landslides and influence of future rainfall changes on the landslide susceptibility. The results indicate that environmental variables in the study area statistically correlate with landslide events over the past 20 years. The MaxEnt model evaluation was applied to landslide hazards in the Hanjiang River Basin based on current climate change scenarios. The results indicate that 25.9% of the study area is classified as a high-risk area. The main environmental variables that affect the distribution of landslides include altitude, slope, normalized difference vegetation index, annual precipitation, distance from rivers, and distance from roads, with a cumulative contribution rate of approximately 90%. The annual rainfall in the Hanjiang River Basin will continue to increase under future climate warming scenarios. Increased rainfall will further increase the extent of high- and medium-risk areas in the basin, especially when following the RCP8.5 climate prediction, which is expected to increase the high-risk area by 10.7% by 2070. Furthermore, high landslide risk areas in the basin will migrate to high-altitude areas in the future, which poses new challenges for the prevention and control of landslide risks. This study demonstrates the usefulness of the MaxEnt model as a tool for landslide susceptibility prediction in the Hanjiang River Basin caused by global warming and yields robust prediction results. This approach therefore provides an important reference for river basin management and disaster reduction and prevention. The study on landslide risks also supports the hypothesis that global climate change will further enhance the frequency and intensity of landslide activity throughout the course of the 21st Century.</p>","PeriodicalId":15607,"journal":{"name":"Journal of Earth Science","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142198452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Topography can strongly affect ground motion, and studies of the quantification of hill surfaces’ topographic effect are relatively rare. In this paper, a new quantitative seismic topographic effect prediction method based upon the BP neural network algorithm and three-dimensional finite element method (FEM) was developed. The FEM simulation results were compared with seismic records and the results show that the PGA and response spectra have a tendency to increase with increasing elevation, but the correlation between PGA amplification factors and slope is not obvious for low hills. New BP neural network models were established for the prediction of amplification factors of PGA and response spectra. Two kinds of input variables’ combinations which are convenient to achieve are proposed in this paper for the prediction of amplification factors of PGA and response spectra, respectively. The absolute values of prediction errors can be mostly within 0.1 for PGA amplification factors, and they can be mostly within 0.2 for response spectra’s amplification factors. One input variables’ combination can achieve better prediction performance while the other one has better expandability of the predictive region. Particularly, the BP models only employ one hidden layer with about a hundred nodes, which makes it efficient for training.
地形会对地面运动产生强烈影响,而对山丘表面地形效应的量化研究却相对较少。本文基于 BP 神经网络算法和三维有限元法(FEM),开发了一种新的地震地形效应定量预测方法。将有限元模拟结果与地震记录进行了对比,结果表明,PGA 和反应谱有随海拔升高而增大的趋势,但对于低山丘陵,PGA 放大系数与坡度的相关性并不明显。建立了新的 BP 神经网络模型,用于预测 PGA 和响应谱的放大系数。本文提出了两种便于实现的输入变量组合,分别用于预测 PGA 放大系数和响应谱。对于 PGA 放大系数,预测误差的绝对值大多在 0.1 以内;对于响应谱放大系数,预测误差的绝对值大多在 0.2 以内。一种输入变量组合可以获得更好的预测性能,而另一种输入变量组合则具有更好的预测区域扩展性。特别是,BP 模型只采用了一个隐层,约有一百个节点,因此训练效率很高。
{"title":"A Quantitative Seismic Topographic Effect Prediction Method Based upon BP Neural Network Algorithm and FEM Simulation","authors":"Qifeng Jiang, Mianshui Rong, Wei Wei, Tingting Chen","doi":"10.1007/s12583-022-1795-x","DOIUrl":"https://doi.org/10.1007/s12583-022-1795-x","url":null,"abstract":"<p>Topography can strongly affect ground motion, and studies of the quantification of hill surfaces’ topographic effect are relatively rare. In this paper, a new quantitative seismic topographic effect prediction method based upon the BP neural network algorithm and three-dimensional finite element method (FEM) was developed. The FEM simulation results were compared with seismic records and the results show that the PGA and response spectra have a tendency to increase with increasing elevation, but the correlation between PGA amplification factors and slope is not obvious for low hills. New BP neural network models were established for the prediction of amplification factors of PGA and response spectra. Two kinds of input variables’ combinations which are convenient to achieve are proposed in this paper for the prediction of amplification factors of PGA and response spectra, respectively. The absolute values of prediction errors can be mostly within 0.1 for PGA amplification factors, and they can be mostly within 0.2 for response spectra’s amplification factors. One input variables’ combination can achieve better prediction performance while the other one has better expandability of the predictive region. Particularly, the BP models only employ one hidden layer with about a hundred nodes, which makes it efficient for training.</p>","PeriodicalId":15607,"journal":{"name":"Journal of Earth Science","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142198480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-24DOI: 10.1007/s12583-024-0037-9
Shan-Ke Liu, Ben-Xun Su
Lack of information regarding lithium (Li) crystal chemistry in numerous minerals, especially those containing trace amounts of Li (ranging from a few to tens of ppm), limits our understanding of Li isotopic fractionation in pegmatites. In this study, we examined the Li isotopic composition and Li content in various Li-poor (e.g., quartz or feldspar) together with Li-rich (sopdumene or lepidolite) mineral phases within granitic pegmatites. We compiled a comprehensive dataset, encompassing a broad spectrum of Li contents (ranging from a few to tens of thousands of ppm) and Li isotopic values (−8‰ to 41‰). The minerals exhibit distinct Li isotopic signatures. Specifically, elbaite and beryl show the highest values, while biotite displays a negative average. Compared to individual minerals, whole rocks demonstrate lower Li isotopic values, with pegmatites exhibiting the highest and non-granitic pegmatite wall rocks showing the lowest. Our study also uncovers a clear “V”. shape relationship between Li isotopic values and logarithm of Li contents, with different mineral groups occupying specific regions within this shape. Furthermore, a significant correlation was observed between average Li isotopic values and Li-O (OH, F) bond lengths in various minerals. These discoveries underscore the crucial role of crystal chemistry in shaping the Li isotopic behavior in pegmatites from a statistical perspective.
{"title":"Lithium Isotopic Fractionation in Minerals from Pegmatites: Perspective of Crystal Chemistry","authors":"Shan-Ke Liu, Ben-Xun Su","doi":"10.1007/s12583-024-0037-9","DOIUrl":"https://doi.org/10.1007/s12583-024-0037-9","url":null,"abstract":"<p>Lack of information regarding lithium (Li) crystal chemistry in numerous minerals, especially those containing trace amounts of Li (ranging from a few to tens of ppm), limits our understanding of Li isotopic fractionation in pegmatites. In this study, we examined the Li isotopic composition and Li content in various Li-poor (e.g., quartz or feldspar) together with Li-rich (sopdumene or lepidolite) mineral phases within granitic pegmatites. We compiled a comprehensive dataset, encompassing a broad spectrum of Li contents (ranging from a few to tens of thousands of ppm) and Li isotopic values (−8‰ to 41‰). The minerals exhibit distinct Li isotopic signatures. Specifically, elbaite and beryl show the highest values, while biotite displays a negative average. Compared to individual minerals, whole rocks demonstrate lower Li isotopic values, with pegmatites exhibiting the highest and non-granitic pegmatite wall rocks showing the lowest. Our study also uncovers a clear “V”. shape relationship between Li isotopic values and logarithm of Li contents, with different mineral groups occupying specific regions within this shape. Furthermore, a significant correlation was observed between average Li isotopic values and Li-O (OH, F) bond lengths in various minerals. These discoveries underscore the crucial role of crystal chemistry in shaping the Li isotopic behavior in pegmatites from a statistical perspective.</p>","PeriodicalId":15607,"journal":{"name":"Journal of Earth Science","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141774734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-23DOI: 10.1007/s12583-024-2016-6
Yamei Wang, Jiyuan Yin, Stuart N. Thomson, Wen Chen, Keda Cai, Zengchan Dong, Fucheng Tan
Based on a compilation of AFT, AHe ages and apatite MTLs from previous studies, the following conclusions can be made regarding the spatial and temporal distribution of exhumation in Altai-Sayan region.