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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 {1. of Sciences,{2., china 2. Graduated School of the Chinese {1. of Sciences, Beijing 1.0039, 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

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Dynamic Identification and Evolution of Urban-suburban-rural Transition Zones Based on the Blender of Natural and Humanistic Factors: A Case Study of chengdu,{1.

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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 {1. Ping zhang Hao WANG Zhanyun The Faculty Geography Resources Science Sichuan Normal UniversityChengdu 610101China Sustainable Development Research Center of Resources and environment in Western {1. Sichuan Normal UniversityChengdu 610101China institute of {1. {2. 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,{1.’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 {1.,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 1.90-2.2.,the urban-sub-urban transition zones(U-STZ)in {1. 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,{1.

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Rural Public Investment and Benefit in sichuan's Hilly and {1.ous 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 61.041.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 {1.ous areas in the period 2.05 -2.08; 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 cur{2.t 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,{2. Agricultural University,Ya'an 62.014,{2. 2.College of Resources and environment,{2. Agricultural University,Ya'an 62.014,{2. 3.School of Land and Resources,china West Normal University,Nanchong 637002.{2. 4.institute of mountain hazards and environment,Chinese academy of Sciences and Ministry of Water Conservancy,chengdu 61.041.{2.)

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

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...

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 {1.~2.TAO Ling~2.1.institute of mountain hazards and environment,Chinese academy of Sciences,P.R.china,61.041.2.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,1.0049

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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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61.041 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 {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

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. {2. 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 Sciences and Natural Resources Research Chinese Academy of SciencesBeijing 100101China china‒Pakistan Joint Research Center on Earth Sciences 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 {2. in HMA region,including their phenomena,mechanisms and *** reveals that:1.the occur{1.ces of extreme rainfall,heavy snowfall,and drifting snow {2. 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 {2. 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-{2. 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 {2. 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 {2. 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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四川省的耕地粮食安全保障问题及对策

西南农业学报 2003年第S1期 15-18页

作者：何毓蓉冯云清张保华吴晓军中国科学院水利部成都山地灾害与环境研究所四川省农业厅四川省农业厅四川成都　61.041 四川成都　61.01.

四川省的耕地和粮食安全问题,已初露端倪。本文从四川省的耕地资源状况分析,看出四川省的人均耕地仅有0 048hm2.低于联合国粮农组织提出的人均耕地警戒线(0 05hm2.;四川省的耕地平均每年减少3 68万hm2.至2.02.已累计减少80 9万hm2.耕... 详细信息

四川省的耕地和粮食安全问题,已初露端倪。本文从四川省的耕地资源状况分析,看出四川省的人均耕地仅有0 048hm2.低于联合国粮农组织提出的人均耕地警戒线(0 05hm2.;四川省的耕地平均每年减少3 68万hm2.至2.02.已累计减少80 9万hm2.耕地数量不容乐观。对四川省耕地质量状况,指出有2.6 7万hm2.低产田土,占四川省总耕地面积的51.。这类耕地类型的土壤质量系数都在0 70以下,属于4～9等的中低质量等级耕地,耕地质量是较差的。四川省的粮食状况,近年来人均粮食占有量也从439 0kg,下降到386 5kg。有较大的下降趋势,从四川省的粮食供需状况分析看出,有粮食供需不平衡的状况。统计分析表明,四川省的粮食生产主要取决于耕地的粮食播种面积。研究结果看出:四川省的粮食供需平衡其总产量应当最少保持在3500万t以上。据此,认为四川省的耕地粮食安全警戒线是确保每年不少于666 7万hm2.粮食播种面积,在此基础上提出了四川省的耕地粮食安全保障对策的几点建议。

关键词：耕地粮食安全警戒线对策四川省

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 61.041

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