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Wuhan University Journal of Natural sciences 2005年第4期10卷 779-784页

作者： zhang ren-jun 1,2.1. institute of mountain hazards and environment, chinese academy of sciences, chengdu 61004., sichuan, china 2. Graduated School of the chinese academy of sciences, Beijing 100039, china chinese academy of sciences Institute of Mountain Hazards and Environment Chengdu Sichuan China (GRID:grid.9227.e) (ISNI:***) Graduated School of the chinese academy of sciences Beijing China (GRID:grid.9227.e) (ISNI:***)

Based on the study of visitors' individual spatial behaviors, a tourists'spatial behavior simulator (TSBS) to assess the carrying capacity of tourist resorts was developed,TSBS employs GIS (Geographic Information System) to manage the spatial data,and Multi-Agent systemto simulate the actions of individual visitors. By utilizing TSBS, visitors' travel patterns such aslocation, cost, and state can be analyzed and predicted. Based on this analysis and prediction, themodel of assessing the carrying capacity of resorts is built. Our results show that TSBS will be aneffective tool to accurately assess the carrying capacity of tourist resorts.

关键词： tourist resort carrying capacity TSBS GIS Multi-Agent simulator

Dynamic Identification and Evolution of Urban-suburban-rural Transition Zones Based on the Blender of Natural and Humanistic Factors: A Case Study of chengdu, china

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chinese Geographical Science 2024年第5期34卷 791-809页

作者： DENG Wei JIANG Zhenyuan zhang Shaoyao ren Ping zhang Hao WANG Zhanyun The Faculty Geography Resources Science Sichuan Normal UniversityChengdu 610101China Sustainable Development Research Center of Resources and environment in Western sichuan Sichuan Normal UniversityChengdu 610101China institute of mountain hazards and environment Chinese Academy of SciencesChengdu 610041China

Urban-suburban-rural(U-S-R)zones exhibit distinctive transitional characteristics in interaction between human and nature.U-S-R transition zones(U-S-RTZ)are also highlighting the function diversity and landscape heterogeneity across territorial *** a super megacity in western china,chengdu’s rapid urbanization has driven the evolution of U-S-R spaces,resulting in a sequential *** promote the high-quality spatial development of urban-rural region in a structured and efficient manner,it is essential to con-duct a scientific examination of the multidimensional interconnection within the U-S-RTZ *** proposing a novel identifica-tion method of U-S-RTZ and taking chengdu,china as a case study,grounded in a blender of natural and humanistic factors,this study quantitatively delineated and explored the spatial evolutions of U-S-RTZ and stated the optimization orientation and sustainable devel-opment strategies of the production-living-ecological spaces along the U-S-R *** results show that:1)it is suitable for the quantitative analysis of U-S-RTZ by established three-dimensional identification system in this study.2)In 1990-2020,the urban-sub-urban transition zones(U-STZ)in chengdu have continuously undergone a substantial increase,and the scale of the suburban-rural transition zones(S-RTZ)has continued to expand slightly,while the space of rural-ecological transition zones(R-ETZ)has noticeably compressed.3)The landuse dynamics within U-S-RTZ has gradually increased in *** main direction of landuse transition was from farmland to construction land or woodlands,with the expansion of construction land being the most significant.4)R-ETZ primarily focus on ecological functions,and there is a trade-off relationship between the production-ecological function within the S-RTZ,and in the U-STZ,production-living composite functions are *** study emphasizes the importance of elastic planning and precise governance within the U-

关键词： transition zone urban-suburban-rural zones spatial identification evolution mechanism chengdu,china

Climate-Vegetation Coverage Interactions in the Hengduan mountains Area, Southeastern Tibetan Plateau, and Their Downstream Effects

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Advances in Atmospheric sciences 2024年第4期41卷 701-716页

作者： Congxi FANG Jinlei CHEN Chaojun OUYANG Lu WANG Changfeng SUN Quan zhang jun WEN Key Laboratory of mountain hazards and Earth Surface Processes Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu 610299China State Key Laboratory of Cryospheric Science Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhou 730000China College of Urban and environmental sciences Peking UniversityBeijing 100871China institute of Global environmental Change Xi’an Jiaotong UniversityXi’an 710049China The State Key Laboratory of Loess and Quaternary Geology Institute of Earth EnvironmentChinese Academy of SciencesXi’an 710061China College of Atmospheric sciences Chengdu University of Information TechnologyChengdu 610225China

Little is known about the mechanism of climate-vegetation coverage coupled changes in the Tibetan Plateau(TP)region,which is the most climatically sensitive and ecologically fragile region with the highest terrain in the *** study,using multisource datasets(including satellite data and meteorological observations and reanalysis data)revealed the mutual feedback mechanisms between changes in climate(temperature and precipitation)and vegetation coverage in recent decades in the Hengduan mountains Area(HMA)of the southeastern TP and their influences on climate in the downstream region,the sichuan Basin(SCB).There is mutual facilitation between rising air temperature and increasing vegetation coverage in the HMA,which is most significant during winter,and then during spring,but insignificant during summer and *** temperature significantly enhances local vegetation coverage,and vegetation greening in turn heats the atmosphere via enhancing net heat flux from the surface to the *** atmospheric heating anomaly over the HMA thickens the atmospheric column and increases upper air *** high pressure anomaly disperses downstream via the westerly flow,expands across the SCB,and eventually increases the SCB *** effect lasts from winter to the following spring,which may cause the maximum increasing trend of the SCB temperature and vegetation coverage in *** results are helpful for estimating future trends in climate and eco-environmental variations in the HMA and SCB under warming scenarios,as well as seasonal forecasting based on the connection between the HMA eco-environment and SCB climate.

关键词： Hengduan mountains Area normalized difference vegetation index climate change net heat flux downstream effects

Rural Public Investment and Benefit in sichuan's Hilly and mountainous Areas

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Asian Agricultural Research 2012年第8期4卷 28-32页

作者： zhang Hai-qin 1,3 ,LIU Shao-quan 1 ,LUO ren-fu 2 ,zhang Lin-xiu 2.1. institute of mountain hazards and environment,chinese academy of sciences,chengdu 61004.,china 2. institute of Geographic sciences and Natural Resources Research,chinese academy of sciences,Beijing 100101,china 3. Graduate University of chinese academy of sciences,Beijing 100049,china

Using representative sampling survey data,we take the case of roads,domestic water,irrigation facilities,clinics and schools,to give an overview of the status quo of rural public investment in sichuan's hilly and mountainous areas in the period 2005 -2008; conduct comprehensive analysis of public investment benefit,from the status quo of supply and demand,social benefit and villagers' satisfaction. The results show that the social benefit arising from the construction of road projects is good,while the social benefit arising from the construction of irrigation facilities is poor; the matching effect of supply and demand of public investment is poor,especially for the investment in irrigation facilities; on the whole,villagers' satisfaction with public investment has been promoted,but most of the villagers are still unsatisfied with the current irrigation facilities. The major capital source of rural public investment is from the government,but from the perspective of the villagers' demand,we should further increase the public financial input.

关键词： Rural public investment Social benefit index Evalu

The Analysis of CO2 Influence Factors in Tianquan Cave of Xingwen World Geopark

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四川地质学报 2009年第S1期 113-119页

作者： SHUI Wei 1 HU Yi 2 zhang Bing 3 SU Zheng-an 4 WANG Chen-yi 2 ren De-you 3 XU Xue-yi 1 CHENG Jin-ping 2.1.Department of Eco-agriculture and Rural Development,sichuan Agricultural University,Ya'an 625014,sichuan 2.College of Resources and environment,sichuan Agricultural University,Ya'an 625014,sichuan 3.School of Land and Resources,china West Normal University,Nanchong 637002,sichuan 4.institute of mountain hazards and environment,chinese academy of sciences and Ministry of Water Conservancy,chengdu 61004.,sichuan)

A Vaisala CARBOCAP Hand-Held Carbon Dioxide Meter GM70 was used to measure CO 2 concentration in Tianquan cave of Xingwen world *** study was done in Tianquan cave during July and August,*** sources include the influence factors of distribution of CO 2:elevation,tourists,cross section and depth of the *** indicated tourists have strong impacts on the CO 2 concentration,while no significant differences could be found among different ***,significant correlation could be found among the depth of cave,the small cross section,the tourist's construction and the CO 2 *** results indicate that the CO 2 concentration in Tianquan cave has no threat to the health of *** results and the data provide a scientific basis for the protection of people's health and the exploitation of cave tourism.

关键词： Xingwen world Geopark Tianquan cave CO 2 concentration Influence factors

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矿井微震与电法耦合监测技术

煤炭学报 2024年第1期49卷 586-600页

作者：刘盛东杨彩章俊李纯阳任川中国矿业大学深地工程智能建造与健康运维全国重点实验室江苏徐州221116 中国矿业大学矿山互联网应用技术国家地方联合工程实验室江苏徐州221116 中国矿业大学物联网(感知矿山)研究中心江苏徐州221116 中国矿业大学资源与地球科学学院江苏徐州221116 安徽惠洲地质安全研究院股份有限公司安徽合肥230088

随着煤炭资源开采区域、深度及强度的增加,矿井工作面采掘扰动极易诱发矿井突水事故,严重威胁我国煤炭资源安全开采。矿井水害事故的发生主要是岩体采动破裂与矿井水渗流共同作用的结果。研究表明,微震信号的纵横波到时、幅值、频率等... 详细信息

随着煤炭资源开采区域、深度及强度的增加,矿井工作面采掘扰动极易诱发矿井突水事故,严重威胁我国煤炭资源安全开采。矿井水害事故的发生主要是岩体采动破裂与矿井水渗流共同作用的结果。研究表明,微震信号的纵横波到时、幅值、频率等参量可有效表征岩体破裂位置、强度及其震源机制,地电场信号中的电阻率、激励电流及自然电位等参量可有效表征岩体渗流演化过程。透水通道形成对应微震场特征,地下水渗流对应地电场特征,因此微震电法耦合方法对矿井水害孕育发展过程具有监测预警的功能,可有效对采动破坏过程中形成的突水通道、水源位置及渗流过程等水害三要素进行精准捕捉;减少单一地球物理方法多解性,提高水害监测预警精度,对煤矿防治水意义重大。当前,微震与电法耦合监测技术在煤矿水害实时动态监测中开始得到应用,突破传统微震与电法独立采集的局限,课题组自主研发了国内外首款煤安认证的微震与电法耦合并行监测系统,该系统以微震场与地电场并行采集基站为核心,集被动源微震波场与主被动地电场为一体,通过连接矿井物联网,实现远程数据采集控制、传输及云端存储;其一体化网络服务器主机可连接多个采集基站,并将微震检波器、电法激励电极与电位测量电极进行相互隔离、并行采集,形成微震事件密度与能级分布、电阻率分布、自然电位分布等时空云图来监测预判水害三要素。微震与电法耦合监测技术仍需在微震事件智能识别与定位、地电场的电阻率三维反演以及自然电位渗流反演方面进行专项攻关;结合并行监测的微震电法大数据集,重点在微震电法数据联合反演、智能化监测预警方向开展进一步研究。微震与电法耦合监测技术,作为矿井水害的主动预警监测新方法,可为我国智能化矿井建设发挥重要作用。

关键词：微震与电法耦合主被动一体化监测预警煤矿水害智能矿山

Researches on Heavy Metals Accumulation of Greening Trees Species in Lanzhou City

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Researches on Heavy Metals Accumulation of Greening Trees Sp...

粘性泥石流残留层的形成及减阻作用——以云南蒋家沟泥石流为例

海峡两岸三地环境与资源学术研讨会暨第二届中国环境资源与生态保育学会会员代表大会

作者： DU Zhong~(1,3),ren jun~2,TAO Ling~2.1.institute of mountain hazards and environment,chinese academy of sciences,P.R.china,61004. 2 School of environmental and Municipal Engineering of Lanzhou Jiaotong University,P.R.china,730070 3 Graduate University of chinese academy of sciences,P.R.china,100049

The atmospheric heavy metals pollution is one of the most serious problems that obsessing the world urban *** application of greening tree species to absorb the heavy metals in the atmosphere is an important method in the atmospheric pollution *** order to select monitoring and effective greening tree species to purify the heavy metals pollution,four common greening tree species in five selected polluted areas are chosen to measure the heavy metals *** concentration of heavy metals in tree species leaves was obviously associated with the heavy metals properties,pollution conditions and tree species *** potential Pb accumulation capacity of different greening tree species appeared in the order of Sabina chiesis>Sophora japonica>Buxus microphylla>Populus *** for Cu,the accumulation capacity can be ranked as Sabina chiesis>Populus tomentosa>Sophora japonica>Buxus *** tomentosa had the highest accumulation capacity for Cd,While Sophora japonica for ***,the overall degree of atmospheric heavy metals pollution in the investigated areas can be shown as follows:XiGuan>Rubber plant>Petroleum plant>Xizhan>*** results can offer theoretical practices for the management of air pollution in Lanzhou city.

关键词：

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山地学报 2003年第2期21卷 223-227页

作者：张军吴积善游勇程尊兰中国科学院-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61004.

通过对云南蒋家沟粘性泥石流的野外观测 ,讨论了粘性泥石流残留层的定义特征 ,在大量实测数据基础上 ,分析了残留层易形成时段的特性 ;分别对一次泥石流过程、若干阵泥石流和一阵泥石流残留层的变化进行了相关分析 ;最后用观测数据分析... 详细信息

通过对云南蒋家沟粘性泥石流的野外观测 ,讨论了粘性泥石流残留层的定义特征 ,在大量实测数据基础上 ,分析了残留层易形成时段的特性 ;分别对一次泥石流过程、若干阵泥石流和一阵泥石流残留层的变化进行了相关分析 ;最后用观测数据分析了泥石流残留层的减阻作用

关键词：泥石流残留层形成变化减阻

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云南省寻甸县金源老干沟泥石流灾害与治理

山地学报 2000年第3期18卷 207-211页

作者：张军陈宁生詹文安中国科学院、水利部成都山地灾害与环境研究所!四川成都61004. 云南省计委国土办!云南昆明650041

通过实地考察 ,分析了金源泥石流形成背景 ,对泥石流防治工程设计必需的水文参数进行了讨论 ,介绍了治理方案的选择和确定 ,重点讨论了 1 0 0 0m长排导糟工程的设计。

关键词：金源老干沟泥石流治理

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 zhang Long Yu Fei Wang Yong Xie jun Li Fang Wang Sabine Grunwald Bryan MWong Fan zhang Zhen Qian Yongjun Xu Chengqing Yu Wei Han Tao Sun Zezhi Shao Tangwen Qian Zhao Chen Jiangyuan Zeng Huai zhang Husi Letu Bing zhang Li Wang Lei Luo Chong Shi Hongjun Su Hongsheng zhang 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 zhang Prashant Kumar Antonio Plaza Jocelyn Chanussot Jiabao zhang 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 hazards 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