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四川省耕地地力及承载力预测

西南农业学报 2003年第S1期16卷 15-18页

作者：何毓蓉周红艺张保华冯云清石承苍吴晓军陈庆瑞周孝强中国科学院成都山地灾害与环境研究所四川成都610041 四川省农业厅四川成都610015 四川省农科院四川成都610066

四川省的耕地地力以土壤质量系数衡量,多数在0 70以下。按耕地最大生产潜力计算,以线性模型和指数模型预测耕地和人口,在2040年后,四川省的粮食产量与人口需求间将出现亏缺,预计分别缺口粮食523 7024×1.7kg和1.8 4425×1.7kg,那时四川... 详细信息

四川省的耕地地力以土壤质量系数衡量,多数在0 70以下。按耕地最大生产潜力计算,以线性模型和指数模型预测耕地和人口,在2040年后,四川省的粮食产量与人口需求间将出现亏缺,预计分别缺口粮食523 7024×1.7kg和1.8 4425×1.7kg,那时四川将超载人口386 34万人至1.01.20万人。按耕地现实粮食生产力(单产)计算的四川省耕地承载力,从2000年后,出现粮食缺口和人口超载。预计未来50年,粮食亏缺将在887 4259×1.7kg至2982 2803×1.7kg,人口超载达2035 4万人至6840 1.人。表明四川省的耕地超载,耕地粮食形势不容乐观。并依此提出了相应的对策和建议。

关键词：耕地地力土壤质量系数粮食生产潜力人口承载力四川省

Artificial intelligence for geoscience:Progress,challenges,and perspectives

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The Innovation 2024年第5期5卷 136-160,135页

作者： Tianjie Zhao Sheng Wang Chaojun Ouyang Min Chen Chenying Liu Jin {1. Long Yu Fei Wang Yong Xie jun Li Fang Wang Sabine Grunwald Bryan MWong Fan {1. Zhen Qian Yongjun Xu Chengqing Yu Wei Han Tao Sun Zezhi Shao Tangwen Qian Zhao Chen Jiangyuan Zeng Huai {1. Husi Letu Bing {1. Li Wang Lei Luo Chong Shi Hongjun Su Hongsheng {1. Shuai Yin Ni Huang Wei Zhao Nan Li Chaolei Zheng Yang Zhou Changping Huang Defeng Feng Qingsong Xu Yan Wu Danfeng Hong Zhenyu Wang Yinyi Lin Tangtang {1. Prashant Kumar Antonio Plaza Jocelyn Chanussot Jiabao {1. Jiancheng Shi Lizhe Wang Aerospace Information Research institute Chinese Academy of SciencesBeijing 100094China School of Computer Science China University of GeosciencesWuhan 430078China State Key Laboratory of mountain {1. and Engineering Resilience Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu 610299China Key Laboratory of Virtual Geographic environment(Ministry of Education of PRC) Nanjing Normal UniversityNanjing 210023China Data Science in Earth Observation Technical University of Munich80333 MunichGermany The National Key Laboratory of Water Disaster Prevention Yangtze Institute for Conservation and DevelopmentHohai UniversityNanjing 210098China institute of Computing Technology Chinese Academy of SciencesBeijing 100190China School of Geographical sciences Nanjing University of Information Science and TechnologyNanjing 210044China State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing 210008China Soil Water and Ecosystem Sciences DepartmentUniversity of FloridaPO Box 110290GainesvilleFLUSA Materials Science Engineering Program Cooperating Faculty Member in the Department of Chemistry and Department of Physics Astronomy University of CaliforniaCaliforniaRiversideCA 92521USA institute of Remote Sensing and Geographical Information System School of Earth and Space SciencesPeking UniversityBeijing 100871China Key Laboratory of Computational Geodynamics University of Chinese Academy of SciencesBeijing 100049China International Research Center of Big Data for Sustainable Development Goals Beijing 100094China College of Geography and Remote Sensing Hohai UniversityNanjing 211100China Department of Geography The University of Hong KongHong Kong 999077SARChina Jiangsu Key Laboratory of Atmospheric environment Monitoring and Pollution Control Nanjing 210044China School of environmental Science and Engineering Nanjing University of Information Science&TechnologyNanjing 210044China Collaborative Inno

This paper explores the evolution of geoscientific inquiry,tracing the progression from traditional physics-based models to modern data-driven approaches facilitated by significant advancements in artificial intelligence(AI)and data collection *** models,which are grounded in physical and numerical frameworks,provide robust explanations by explicitly reconstructing underlying physical ***,their limitations in comprehensively capturing Earth’s complexities and uncertainties pose challenges in optimization and real-world *** contrast,contemporary data-driven models,particularly those utilizing machine learning(ML)and deep learning(DL),leverage extensive geoscience data to glean insights without requiring exhaustive theoretical *** techniques have shown promise in addressing Earth science-related ***,challenges such as data scarcity,computational demands,data privacy concerns,and the“black-box”nature of AI models hinder their seamless integration into *** integration of physics-based and data-driven methodologies into hybrid models presents an alternative *** models,which incorporate domain knowledge to guide AI methodologies,demonstrate enhanced efficiency and performance with reduced training data *** review provides a comprehensive overview of geoscientific research paradigms,emphasizing untapped opportunities at the intersection of advanced AI techniques and *** examines major methodologies,showcases advances in large-scale models,and discusses the challenges and prospects that will shape the future landscape of AI in *** paper outlines a dynamic field ripe with possibilities,poised to unlock new understandings of Earth’s complexities and further advance geoscience exploration.

关键词： Earth utilizing landscape

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粘性泥石流残留层与泥深的关系分析

山地学报 2003年第4期21卷 487-492页

作者：吴积善张军程尊兰游勇刁惠芳中国科学院水利部成都山地灾害与环境研究所中国科学院水利部成都山地灾害与环境研究所四川成都610041

粘性泥石流泥深的观测数据过去大部分不包含残留层厚度,认为当后继粘性泥石流通过残留层时,残留层是不动的,泥深从残留层表面起算。本文通过大量的泥石流原型观测和简易模型试验表明,当后继泥石流通过时,残留层除底部很薄的一层不动外,... 详细信息

粘性泥石流泥深的观测数据过去大部分不包含残留层厚度,认为当后继粘性泥石流通过残留层时,残留层是不动的,泥深从残留层表面起算。本文通过大量的泥石流原型观测和简易模型试验表明,当后继泥石流通过时,残留层除底部很薄的一层不动外,都是运动的,并有三种运动形式,泥深应包含残留层。残留层的厚度一般为20～60cm,这样对过去不包含残留层厚度的泥深观测数据应进行更正,粘性泥石流流量和输沙率也需相应增加。

关键词：粘性泥石流残留层泥深确定

不同土地利用方式对黄土坡地土壤水稳性团聚体和总孔隙度的影响

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山地学报 2002年第S1期20卷 119-124页

作者：张建国刘淑珍宋述军李勇中国科学院水利部成都山地灾害与环境研究所中国科学院水利部成都山地灾害与环境研究所四川成都 610041

通过测定土壤水稳性团聚体、总孔隙度、容重等物理性质,对延安梁峁山丘四种不同土地利用方式对土壤水稳性团聚体和总孔隙度的影响作了定量分析。结果表明,不同土地利用方式对土壤水稳性团聚体和总孔隙度的改善作用的大小顺序为草地>有林... 详细信息

通过测定土壤水稳性团聚体、总孔隙度、容重等物理性质,对延安梁峁山丘四种不同土地利用方式对土壤水稳性团聚体和总孔隙度的影响作了定量分析。结果表明,不同土地利用方式对土壤水稳性团聚体和总孔隙度的改善作用的大小顺序为草地>有林地>灌木林地>耕地。通过进一步分析四种土地利用方式下,土壤中直径≤1.m有效根根量的分布特征,发现不同土地利用方式下的土壤中,有效根根量的差异是造成这种不同影响的重要原因之一。

关键词：土地利用方式水稳性团聚体总孔隙度有效根根量土壤容重

Disaster effects of climate change in High mountain Asia:State of art and scientific challenges Disaster effects of climate change in High mountain Asia:State of art and scientific challenges

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Advances in Climate Change Research 2024年第3期15卷 367-389页

作者： Hao WANG Bin-Bin WANG Peng CUI Yao-Ming MA Yan WANG Jian-Sheng HAO Yu WANG Ya-Mei LI Li-jun SUN Jiao WANG Guo-Tao {1. Wei-Mo LI Yu LEI Wen-Qing ZHAO Jin-Bo TANG Chao-Yue LI institute of {1. hazards and environment Chinese Academy of SciencesChengdu 610041China State Key Laboratory of Tibetan Plateau Earth System Environment and Resources(TPESER)Institute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing 100101China institute of Geographic {1. and Natural Resources Research Chinese Academy of SciencesBeijing 100101China china‒Pakistan Joint Research Center on Earth {1. Chinese Academy of SciencesIslamabad 45320Pakistan College of Earth and Planetary sciences University of Chinese Academy of SciencesBeijing 100049China College of Atmospheric Science Lanzhou UniversityLanzhou 730000China National Observation and Research Station for Qomolongma Special Atmospheric Processes and environmental Changes Dingri 858200China

High mountain Asia(HMA)shows a remarkable warming tendency and divergent t{1.d of regional precipitation with enhanced meteorological *** rapid thawing of the HMA cryosphere may alter the magnitude and frequency of nature *** reviewed the influence of climate change on various types of nature hazards in HMA region,including their phenomena,mechanisms and *** reveals that:1.the occur{1.ces of extreme rainfall,heavy snowfall,and drifting snow hazards are escalating;accelerated ice and snow melting have advanced the onset and increased the magnitude of snowmelt floods;2)due to elevating trigger factors,such as glacier debuttressing and the rapid shift of thermal and hydrological regime of bedrock/snow/ice interface or subsurface,the mass flow hazards including bedrock landslide,snow avalanche,ice-rock avalanches or glacier detachment,and debris flow will become more severe;3)increased active-layer detachment and retrogressive thaw slumps slope failures,thaw settlement and thermokarst lake will damage many important engineering structures and infrastructure in permafrost region;4)multi-hazards cascading hazard in HMA,such as the glacial lake outburst flood(GLOF)and avalanche-induced mass flow may greatly enlarge the destructive power of the primary hazard by amplifying its volume,mobility,and impact force;and 5)enhanced slope instability and sediment supply in the highland areas could impose remote catastrophic impacts upon lowland regions,and threat hydropower security and future water *** future,ongoing thawing of HMA will profoundly weaken the multiple-phase material of bedrock,ice,water,and soil,and enhance activities of nature *** and cascading hazards of high magnitude will prevail in *** the glacier runoff overpasses the peak water,low flow or droughts in lowland areas downstream of glacierized mountain regions will became more frequent and *** escalating hazards in the HMA region requires tackling s

关键词： High mountain Asia Climate change Cryosphere degradation Nature hazards Disaster risk

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柴北缘西段绿梁山早古生代复式花岗岩体成因

地球科学 2024年第9期49卷 3106-3121页

作者：张懿朱小辉蒲永霞张君任云飞王海杰孔红喜陈丹玲中国石油青海油田勘探开发研究院青海省高原咸化湖盆油气地质重点实验室甘肃敦煌736202 延安大学油气资源高效开发与生态环境保护陕西省高校工程研究中心石油工程与环境工程学院陕西延安716000 西北大学大陆动力学国家重点实验室地质学系陕西西安710069

为探讨柴北缘西段绿梁山复式岩体的成因及其与大陆深俯冲-折返过程的关系,对其开展了系统的岩石学、地球化学和同位素年代学研究.结果表明,该复式岩体由三期中酸性侵入岩构成,是柴北缘构造带早古生代陆壳深俯冲-折返到造山带垮塌过程的... 详细信息

为探讨柴北缘西段绿梁山复式岩体的成因及其与大陆深俯冲-折返过程的关系,对其开展了系统的岩石学、地球化学和同位素年代学研究.结果表明,该复式岩体由三期中酸性侵入岩构成,是柴北缘构造带早古生代陆壳深俯冲-折返到造山带垮塌过程的岩浆响应.其中,Ⅰ期为似斑状花岗闪长岩,规模较小,形成年龄为436~430 Ma,是陆壳深俯冲/碰撞过程中加厚镁铁质下地壳部分熔融的产物;Ⅱ期为英云闪长岩-正长花岗岩-二长花岗岩,年龄介于400~390 Ma,由折返的超高压榴辉岩和下地壳镁铁质岩石在地壳伸展背景下部分熔融形成;Ⅲ期二云母花岗岩为绿梁山复式岩体的主体,形成年龄为365~360 Ma,具强过铝质S型花岗岩特征,是造山带去根、垮塌阶段中、上地壳变泥质岩部分熔融的产物.

关键词：地球化学锆石U⁃Pb年代学花岗岩绿梁山柴北缘岩石学.

Two-dimensional materials for future information technology: status and prospects

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Science china(Information {1.) 2024年第6期67卷 1-147页

作者： Hao QIU Zhihao YU Tiange ZHAO Qi zhang Mingsheng XU Peifeng LI Taotao LI Wenzhong BAO Yang CHAI Shula CHEN Yiqi CHEN Hui-Ming CHENG Daoxin DAI Zengfeng DI Zhuo DONG Xidong DUAN Yuhan FENG Yu FU Jingshu GUO Pengwen GUO Yue HAO {1. HE Xiao HE Jingyi HU Weida HU Zehua HU Xinyue HUANG Ziyang HUANG Ali IMRAN Ziqiang KONG Jia LI Qian LI Weisheng LI Lei LIAO Bilu LIU Can LIU Chunsen LIU Guanyu LIU Kaihui LIU Liwei LIU Sheng LIU Yuan LIU Donglin LU Likuan MA Feng MIAO Zhenhua NI Jing NING Anlian PAN Tian-Ling ren Haowen SHU Litao SUN Yue SUN Quanyang TAO Zi-Ao TIAN Dong WANG Hao WANG Haomin WANG Jialong WANG {1.yong WANG Wenhui WANG Xing{1. WANG Yeliang WANG Yuwei WANG Zhenyu WANG Yao WE... School of Electronic Science and Engineering Nanjing University School of Integrated Circuits Interdisciplinary Research Center for Future Intelligent Chips (Chip-X)Nanjing University School of Integrated Circuit Science and Engineering Nanjing University of Posts and Telecommunications State Key Laboratory of Infrared Physics Shanghai Institute of Technical Physics Chinese Academy of Sciences School of Physics and Key Lab of Quantum Materials and Devices of the Ministry of Education School of Electronic Science & EngineeringSoutheast University College of Integrated Circuits State Key Laboratory of Silicon and Advanced Semiconductor MaterialsZhejiang University Suzhou Laboratory State Key Laboratory of Integrated Chips and Systems School of MicroelectronicsFudan University Shaoxin Laboratory Department of Applied Physics The Hong Kong Polytechnic University Key Laboratory for Micro-Nano Physics and Technology of Hunan Province College of Materials Science and EngineeringHunan University College of Integrated Circuits Zhejiang University Shenzhen Geim Graphene Center Shenzhen Key Laboratory of Layered Materials for Value-Added ApplicationsTsinghua-Berkeley Shenzhen Institute & Institute of Materials ResearchTsinghua Shenzhen International Graduate SchoolTsinghua University State Key Laboratory of Extreme Photonics and Instrumentation College of Optical Science and EngineeringInternational Research Center for Advanced PhotonicsZijingang CampusZhejiang University National Key Laboratory of Materials for Integrated Circuits Shanghai Institute of Microsystem and Information TechnologyChinese Academy of Sciences CAS Key Laboratory of Nanophotonic Materials and Devices & Key Laboratory of Nanodevices and Applications i-LabSuzhou Institute of Nano-Tech and Nano-Bionics (SINANO)Chinese Academy of Sciences College of Chemistry and Chemical Engineering Hunan University Key Laboratory of Quantum State Construction and Manipulation (Ministry of Education) Department of PhysicsRenmin University of China School

Over the past 70 years, the semiconductor industry has undergone transformative changes,largely driven by the miniaturization of devices and the integration of innovative structures and materials. Two-dimensional(2D) materials like transition metal dichalcogenides(TMDs) and graphene are pivotal in overcoming the limitations of silicon-based technologies, offering innovative approaches in transistor design and functionality, enabling atomic-thin channel transistors and monolithic 3D integration. We review the important progress in the application of 2D materials in future information technology, focusing in particular on microelectronics and optoelectronics. We comprehensively summarize the key advancements across material production, characterization metrology, electronic devices, optoelectronic devices, and heterogeneous integration on silicon. A strategic roadmap and key challenges for the transition of 2D materials from basic research to industrial development are outlined. To facilitate such a transition, key technologies and tools dedicated to 2D materials must be developed to meet industrial standards, and the employment of AI in material growth, characterizations, and circuit design will be essential. It is time for academia to actively engage with industry to drive the next 1. years of 2D material research.

关键词： two-dimensional (2D) materials information technology production technology standardization of characterization microelectronic devices optoelectronic devices multi-functional integration

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L型加筋土挡墙地震动力响应理论分析

自然灾害学报 2024年第1期33卷 212-221页

作者：彭涛张晓曦柯灵任东兴何思明中冶成都勘察研究总院有限公司四川成都610023 中国科学院、成都山地灾害与环境研究所四川成都610299

将L型挡墙与加筋土2种柔性支挡结构相结合,充分利用其良好的抗震性能,可用于地震多发区和高烈度区的支挡工程中。研究地震荷载作用下L型加筋土挡墙的破坏机制与动力响应问题。根据第二、第三滑裂面产生条件,提出踵板长度临界系数λ_(cr)... 详细信息

将L型挡墙与加筋土2种柔性支挡结构相结合,充分利用其良好的抗震性能,可用于地震多发区和高烈度区的支挡工程中。研究地震荷载作用下L型加筋土挡墙的破坏机制与动力响应问题。根据第二、第三滑裂面产生条件,提出踵板长度临界系数λ_(cr),以界定长踵板式和短踵板式2种破坏模式。假设填土滑裂面为直线,应用极限分析上限定理,采用Mohr-Coulomb破坏准则,分别建立2种破坏模式下L型加筋土挡墙临界状态方程,推导其地震屈服加速度系数。根据极值原理给出最优解,得到临界屈服加速度系数及其对应的填土滑裂面倾角,分析破坏模式与临界屈服加速度系数受几何参数、物理力学参数和加筋作用的影响。通过算例分析可知:加筋作用可有效地提高L型挡墙的抗震能力,改变其破坏模式;当设计筋材拉伸强度较大时,L型加筋土挡墙只发生长踵板式破坏。

关键词：加筋土 L型挡土墙临界屈服加速度破坏机制上限定理

Numerical simulation on the stability of rock slope based on an improved SPH Method

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Journal of mountain Science 2021年第7期18卷 1937-1950页

作者： YU Shu-yang ren Xu-hua {1. Ji-xun WANG Hai-jun SUN Zhao-hua ZHOU Yu College of Water Conservancy and Hydropower Engineering Hohai UniversityNanjing 210098China School of Transportation and Civil Engineering Nantong UniversityNantong 226019China State Key Laboratory of Hydrology-Water Resource and Hydraulic Engineering Nanjing Hydraulic Research InstituteNanjing 210029China Rock Mechanics and Geo-hazards Center Shaoxing UniversityShaoxing 312000China

The presence of random fissures has a great impact on rock slope *** investigate the failure modes and stability of rock slopes containing different types of pre-existing fissures,the fracture mark ξ was introduced to improve the kernel function in the traditional smoothed particle dynamics(SPH) method,and a novel numerical method,the improved kernel of smoothed particle hydrodynamics(IKSPH),was proposed to realise the microscopic damage characteristics of *** ‘random fissure generating method' has been proposed for random fissure generation,and the gravity increase method has been embedded into the IKSPH program,thereby realising the stability analysis of rock slopes considering crack propagation processes.A typical steep rock slope is taken as a numerical simulation example considering the random distributions of preexisting fissures,and its failure modes as well as the stability under different conditions were *** results show that the failure processes of the rock slope contain propagations of microcracks and then macrocrack *** the fissure length is short,shallow collapse failure modes can be observed;when the fissure length is long,the deep layer slide occurs,and the slope stability decreases with an increase in fissure *** micro and macrocrack surfaces are basically consistent with pre-existing fissure angles,and the safety factor is the least at a fissure angle of 30°.The greater the fissure density,the greater the number of macrocracks,and the stability decreases with an increase in the number of pre-existing *** research results can provide some references for disaster protection and understanding the failure laws of rock ***,combining the geological survey results with the numerical simulations and developing a high-performance IKSPH program will be a future research direction.

关键词： IKSPH method Random fissures Gravity increase method High rock slopes Crack propagation Numerical simulation