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Impact of land-use change on hydrological processes in the Maying River basin, china

Science china Earth sciences 2006年第10期49卷 1098-1110页

作者： wang genxu1,3. {2. yu2. {3. guimin2.& chen lin3.1. Institute of Mountain hazards and environment, chinese academy of sciences, chengdu 610041,{12. 2. Cold and Arid Regions environmental and Engineering Research Institute, chinese academy of sciences, Lanzhou 73.000,{12. 3. Resource and environment School, Lanzhou University, Lanzhou 73.000,{12. Institute of Mountain hazards and environment Chinese Academy of Sciences Chengdu China Resource and environment School Lanzhou University Lanzhou China Cold and Arid Regions environmental and Engineering Research Institute Chinese Academy of Sciences Lanzhou China

Since the 1960s, dramatic changes have taken place in land-use patterns characterized by the persistent expansion of cultivated land and a continuous decrease in natural woodland and grassland in the arid inland river basins of china. It is very important to assess the effects of such land-use changes on the hydrological processes so vital for water resource management and sustainable development on the catchment scale. The Maying River catchment, a typical arid inland watershed located in the middle of the Hexi Corridor in northwest china, was the site chosen to investigate the hydrological responses to land-use changes. The annual runoff, base flow, maximum peak flow, and typical seasonal runoff in both spring and autumn flood periods were selected as the variables in the hydrological processes. Statistical-trend analysis and curvi{2.ear regression were utilized to detect the trends in hydrological variables while eliminating the climatic influence. The relationship between cultivated land-use and hydrological variables was analyzed based on four periods of land-use variation data collected since 1965. A runoff model was established composed of two factors, i.e., cultivated land use and precipitation. The impact of land use changes, especially in the large ar- eas of upstream woodland and grassland turned into cultivated lands since 1967, has resulted in a mean annual runoff decrease of 2..12., a base flow dec{2.e of 3..3.%, a drop in the maximum peak discharge of 3..77%, and mean discharge decreases in spring and autumn of 3..05% and 2..87% respectively, of which the contribution of cultivated land expansion to the influence of annual runoff amounts to 77%-80%, with the contribution to the influence of spring discharge being 73.-81%, and that to the influence of base flow reaching 62.-65%. Thus, a rational regulation policy of land use patterns is vitally important to the sustainable use of water resources and the proper development of the entire catchment.

关键词： land-use change, arid inland river catchment, hydrological process, impact, Maying River.

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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 {3. 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

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Numerical Analysis of Explosion Characteristics of Vent Gas From 18650 LiFePO_(4) Batteries With Different States of Charge

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电化学（中英文） 2024年第8期30卷 28-35页

作者： Shi-lin wang Xu Gong Li-Na {2. Yi-Tong Li {3.-yu zhang Le-Jun Xu Xu-Ning Feng Huai-Bin wang china People's Police University Langfang 065000China State Key Laboratory of Automotive Safety and Energy Tsinghua University Beijing 100084China

The combustion and explosion characteristics of lithium-ion battery vent gas is a key factor in determining the fire hazard of lithium-ion *** the combustion and explosion hazards of lithium-ion batteries vent gas can provide guidance for rescue and protection in explosion accidents in energy storage stations and new energy vehicles,thereby promoting the application and development of lithium-ion *** on this understanding and combined with previous research on gas production from lithium-ion batteries,this article conducted a study on the combustion and explosion risks of vent gas from thermal runaway of 18650 LFP batteries with different states of charge(SOCs).The explosion limit of mixed gases affected by carbon dioxide inert gas is calculated through the“elimination”method,and the Chemkin-Pro software is used to numerically simulate the laminar flame speed and adiabatic flame temperature of the battery vent *** the concentration of free radicals and sensitivity coefficients of major elementary reactions in the system are analyzed to comprehensively evaluate the combustion explosion hazard of battery vent *** study found that the 100%SOC battery has the lowest explosion limit of the vent *** inhibitory elementary reaction sensitivity coefficient in the reaction system is lower and the concentration of free radicals is ***,it has the maximum laminar flame speed and adiabatic flame *** combustion and explosion hazard of battery vent gas increases with the increase of SOC,and the risk of explosion is the greatest and most harmful when SOC reaches 100%.However,the related hazards decrease to varying degrees with overcharging of the *** article provides a feasible method for analyzing the combustion mechanism of vent gas from lithium-ion batteries,revea{2.g the impact of SOC on the hazardousness of battery vent *** provides references for the safety of storage and transportation of lithium

关键词： Combustion and explosion characteristics Explosion limit Laminar flame speed Adiabatic flame temperature Sensitivity analysis

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《高温热浪公众健康防护指南》解读

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中华预防医学杂志 2024年第5期58卷 588-591页

作者：李湉湉陈晨张梦雪刘彦雯潘力军孙庆华刘园园张翼王林中国疾病预防控制中心环境与人群健康重点实验室中国疾病预防控制中心环境与健康相关产品安全所北京100021

近年来,高温热浪已对我国居民健康造成严重影响,我国对高温热浪公众健康防护指南有重要需求。国家疾病预防控制局组织专家充分调研全球及我国高温热浪人群健康流行病学研究证据,解析不同人群的健康危害及防护需求,提出切实有效的个体防... 详细信息

近年来,高温热浪已对我国居民健康造成严重影响,我国对高温热浪公众健康防护指南有重要需求。国家疾病预防控制局组织专家充分调研全球及我国高温热浪人群健康流行病学研究证据,解析不同人群的健康危害及防护需求,提出切实有效的个体防护措施及健康建议。基于此编制的《高温热浪公众健康防护指南》(简称《指南》)于2.2.0}6月正式发布。本文围绕《指南》的制定背景与意义、编制原则、主要依据、核心内容、实施与推广等方面进行解读,以促进对《指南》内容理解、加强《指南》宣贯实施。

关键词：高温热浪健康防护指南

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重庆市主城区居民饮用水9种微量元素含量特征及其健康风险评价

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长江科学院院报 2024年第2期41卷 52-60,75页

作者：刘怡陈燕苏婷谭福亚刘永林张雪琰旷霞殷凤赵家宇重庆师范大学地理与旅游学院重庆401331 重庆师范大学地理信息系统应用研究重庆市高校重点实验室重庆401331 柳州市第八中学广西柳州545005 福建省武夷山第一中学福建武夷山354399

为明确重庆市主城区饮用水中微量元素含量及其对居民健康的潜在影响,采集主城区居民末梢饮用水80件、水源地水样3.,室内测定水样中As、Ba、Cr、Cu、Mo、Ni、Sb、Se、Zn含量,并采用USEPA推荐的健康风险评价模型,评估饮用水中微量元素的... 详细信息

为明确重庆市主城区饮用水中微量元素含量及其对居民健康的潜在影响,采集主城区居民末梢饮用水80件、水源地水样3.,室内测定水样中As、Ba、Cr、Cu、Mo、Ni、Sb、Se、Zn含量,并采用USEPA推荐的健康风险评价模型,评估饮用水中微量元素的健康风险水平。结果表明:①重庆市主城区居民末梢饮用水中9种微量元素均值(算术均值,下同)均未超过国家《生活饮用水卫生标准》。②儿童和成人的总健康风险均值分别为8.72.10^(-5)a^(-1)和3.56×10^(-5)a^(-1),在USEPA推荐的最大可接受标准(10-6~10^(-4)a^(-1))内,但儿童总健康风险高于成人。③居民末梢饮用水健康风险主要表现为Cr和As的致癌风险,儿童和成人致癌风险均呈现R Cr(8.54×10^(-5)a^(-1)和3.48×10^(-5)a^(-1))>R As(1.62.10^(-6)a^(-1)和6.74×10^(-7)a^(-1)),但均低于USEPA推荐的最大可接受标准(10^(-4)a^(-1))。因此饮用水中Cr和As是重庆市主城区居民饮用水产生健康风险的主要物质,需进一步加强这2.元素的监测和管理。

关键词：微量元素健康风险居民末梢饮用水砷铬重庆市

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Strengthened Indian summer monsoon brought more rainfall to the western Tibetan Plateau during the early Holocene

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Science Bulletin 2019年第20期64卷 1482-1485页

作者： Xiangjun liu Xiaojian zhang Yanluan {2. Liya Jin Fahu {3. College of Geography and environmental Science Northwest Normal UniversityLanzhou730070China Center for Excellence in Tibetan Plateau Earth sciences Chinese Academy of SciencesBeijing100101China School of Geography and Ocean Science Nanjing UniversityNanjing210023China Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System Scienceand Joint Center for Global Change StudiesTsinghua UniversityBeijing100084China School of Atmoshpheric sciences Chengdu University of Information TechnologyChengdu610225China CAS Key Laboratory of Alpine Ecology Institute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing100101China

The Tibetan Plateau(TP)is considered to be the‘‘Third Pole”of the earth because of its huge area(5 million km2.,its high elevation(>4000 m average altitude),and the presence of more than 100,000 km2.of glaciers in this northern mid-latitude *** a result of these factors,the TP influences both short-term regional and large-scale atmospheric circulation and long-term climate change[1].More than ten large rivers originate from the TP and constitute an essential water supply for nearly one sixth of the global *** the TP is often referred to as‘‘the water tower of Asia”[1,2..Variations of summer rainfall over the TP greatly impact inland closed lakes,river discharge,glaciers,plant phenology,and natural hazards[2..

关键词： china Strengthened Indian summer monsoon brought more rainfall to the western Tibetan Plateau during the early Holocene western

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基于区域健康数据平台开发新诊断2.糖尿病患者糖尿病视网膜病变发病风险预测模型及其应用

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中华流行病学杂志 2024年第9期45卷 1283-1290页

作者：陈晓薇刘力嘉于业贤章萌李沛赵厚宇孙烨祥孙宏玉孙玉梅刘学洋林鸿波沈鹏詹思延孙凤北京大学公共卫生学院流行病与卫生统计学系北京100191 重大疾病流行病学教育部重点实验室(北京大学) 北京100191 海南大学海口570228 海南省博鳌乐城国际医疗旅游先行区管理局海南省真实世界数据研究院乐城571437 重庆大学医学院重庆400044 宁波市鄞州区疾病预防控制中心宁波315100 北京大学护理学院北京100191 北京大学软件工程国家工程研究中心北京100871

目的开发新诊断2.糖尿病(T2.M)患者糖尿病视网膜病变(DR)发病风险的预测模型。方法选取2.15年1月1日至2.2.年12.3.日宁波市鄞州区域健康信息平台中新诊断T2.M患者为研究对象。使用Lasso-Cox比例风险回归模型筛选预测变量,采用Cox比例... 详细信息

目的开发新诊断2.糖尿病(T2.M)患者糖尿病视网膜病变(DR)发病风险的预测模型。方法选取2.15年1月1日至2.2.年12.3.日宁波市鄞州区域健康信息平台中新诊断T2.M患者为研究对象。使用Lasso-Cox比例风险回归模型筛选预测变量,采用Cox比例风险回归模型构建DR发病风险预测模型。采取Bootstrap 500次重抽样的方法进行内部验证,并使用C指数、受试者工作特征曲线、曲线下面积(AUC)和校准曲线评估模型的性能。结果最终模型纳入的预测变量包括T2.M发病年龄、文化程度、FPG、糖化血红蛋白、尿蛋白、估算肾小球滤过率、脂质调节剂和血管紧张素转化酶抑制剂用药史。最终模型C指数为0.62.,校正后C指数均值为0.62.0}95%CI:0.607~0.63.),预测DR 3.5、7年内发病风险的AUC值分别为0.63.、0.62.、0.62.,校准曲线与理想曲线重合度较高。结论本研究构建了简洁且实用的DR发病风险预测模型,为新诊断T2.M患者制定个体化DR筛查和干预方案提供参考。

关键词：糖尿病视网膜病变预测模型队列研究

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Two Ultraviolet Radiation Datasets that Cover china

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Advances in Atmospheric sciences 2017年第7期34卷 805-815页

作者： Hui liu Bo HU yuesi {2. Guangren liu Liqin TANG Dongsheng JI Yongfei BAI Weikai BAO Xin {3. yunming {3. Weixin DING Xiaozeng HAN Fei HE Hui HUANG Zhenying HUANG Xinrong LI Yan LI Wenzhao liu Luxiang lin Zhu OUYANG Boqiang QIN Weijun SHEN Yanjun SHEN Hongxin SU Changchun SONG Bo SUN Song SUN Anzhi {2. genxu {2. Huimin {2. Silong {2. Youshao {2. Wenxue WEI Ping XIE Zongqiang XIE Xiaoyuan YAN Fanjiang ZENG Fawei {13. Yangjian {13. Yiping {13. {3.gyi ZHAO Wenzhi ZHAO Xueyong ZHAO Guoyi ZHOU Bo ZHU State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric Physics Chinese Academy of Sciences Key Laboratory for Semi-Arid Climate Change Ministry of Education College of Atmospheric SciencesLanzhou University College of Atmospheric sciences Chengdu University of Information Technology the Institute of Botany chinese academy of sciences chengdu Institute of Biology Chinese Academy of Sciences the Institute of Applied Ecology Chinese Academy of Sciences the Institute of Soil and Water Conservation Chinese Academy of Sciences the Institute of Soil Science Chinese Academy of Sciences the Northeast Institute of Geography and Agroecology Chinese Academy of Sciences the Institute of Subtropical Agriculture Chinese Academy of Sciences the South china Sea Institute of Oceanology Chinese Academy of Sciences the Cold and Arid Regions environmental and Engineering Research Institute Chinese Academy of Sciences Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences Xishuangbanna Tropical Botanical Garden Chinese Academy of Sciences the Institute of Geographic sciences and Natural Resources Research Chinese Academy of Sciences the Nanjing Institute of Geography and Limnology Chinese Academy of Sciences the South china Botanical Garden Chinese Academy of Sciences the Institute of Genetics and Developmental Biology Chinese Academy of Sciences the Institute of Oceanology Chinese Academy of Sciences the Institute of Mountain hazards and environment Chinese Academy of Sciences the Institute of Hydrobiology Chinese Academy of Sciences the Northwest Institute of Plateau Biology Chinese Academy of Sciences

Ultraviolet（UV） radiation has significant effects on ecosystems, environments, and human health, as well as atmospheric processes and climate change. Two ultraviolet radiation datasets are described in this paper. One contains hourly observations of UV radiation measured at 40 chinese Ecosystem Research Network stations from 2.05 to 2.15. CUV{2.broadband radiometers were used to observe the UV radiation, with an accuracy of 5%, which meets the World Meteorology Organization＇s measurement standards. The extremum method was used to control the quality of the measured datasets. The other dataset contains daily cumulative UV radiation estimates that were calculated using an all-sky estimation model combined with a hybrid model. The reconstructed daily UV radiation data span from 1961 to 2.14. The mean absolute bias error and root-mean-square error are smaller than {2.% at most stations, and most of the mean bias error values are negative, which indicates underestimation of the UV radiation intensity. These datasets can improve our basic knowledge of the spatial and temporal variations in UV radiation. Additionally, these datasets can be used in studies of potential ozone formation and atmospheric oxidation, as well as simulations of ecological processes.

关键词： reconstructed ozone absolute ultraviolet estimates environments climatic cumulative sunshine meteorological

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某汽车发动机制造企业噪声综合治理效果分析

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中国职业医学 2024年第2期51卷 168-171页

作者：陈琳舒友梅廖阳张海钟坤鹏刘军欧凤仪王致广州市职业病防治院广东广州510620 广汽丰田发动机有限公司广东广州511400

目的分析某汽车发动机制造企业综合治理噪声的措施与效果。方法以某汽车发动机制造企业接触噪声的岗位为研究对象,调查企业噪声危害现状,对噪声超标岗位进行综合治理,分析治理效果。结果检测该企业3.5个接触噪声岗位。其中,噪声超标岗... 详细信息

目的分析某汽车发动机制造企业综合治理噪声的措施与效果。方法以某汽车发动机制造企业接触噪声的岗位为研究对象,调查企业噪声危害现状,对噪声超标岗位进行综合治理,分析治理效果。结果检测该企业3.5个接触噪声岗位。其中,噪声超标岗位16个,噪声超标率为4.1%。超标岗位主要在机加工车间和铸造车间,其8 h等效声级分别为86.8~89.2.85.2.90.2.dB(A);除铸造车间模具保全岗位噪声作业分级为Ⅱ级外,其余噪声超标岗位噪声作业分级均为Ⅰ级。企业采用改革工艺、设备替代、隔声、消声、吸声和隔振等噪声综合治理措施后,9个岗位整改后8 h等效声级低于整改前[(86.7±1.1)vs(83.{2..3.dB(A),P<0.01]。结论采用综合治理措施可实现从源头降低噪声的目的,可供存在噪声危害的相关企业借鉴。

关键词：发动机制造业噪声危害隔声降噪综合治理工程防护

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Understanding the dynamical-microphysical-electrical processes associated with severe thunderstorms over the Beijing metropolitan region

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Science china Earth sciences 2021年第1期64卷 10-26页

作者： Xiushu QIE Shanfeng yuAN Zhixiong chen Dongfeng {2. Dongxia liu Mengyu SUN Zhu{3.g SUN Abhay SRIVASTAVA Hongbo zhang Jingyu LU Hui XIAO Yongheng BI Liang FENG Ye TIAN Yan XU Rubin JIANG Mingyuan liu Xian XIAO Shu DUAN Debin SU chengyun SUN Wenjing XU Yijun zhang Gaopeng LU Da-{3. zhang Yan YIN Ye yu Key Laboratory of Middle Atmosphere and Global environment Observation(LAGEO) Institute of A tmospheric PhysicsChinese Academy of SciencesBeijing 100029China Key Laboratory of Cloud-Precipitation Physics and Severe Storms(LACS) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Institute of Urban Meteorology China Meteorological AdministrationBeijing 100089China College of Atmospheric Science Chengdu University of Information TechnologyChengdu 610225China State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesBeijing 100081China Key Laboratory for Aerosol-Cloud-Precipitation of china Meteorological Administration Nanjing University of Information Science&TechnologyNanjing 210044China Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhou 730000China College of Earth and Planetary Science University of Chinese Academy of ScienceBeijing 100049China Meteorological Observation Centre Beijing Meteorological BureauBeijing 100081China Jiangxi Weather Modification Nanchang 330096China Department of Atmospheric and Oceanic sciences&Institute of Atmospheric sciences Fudan UniversityShanghai 200438China Department of Atmospheric and Oceanic Science University of MarylandMaryland 20742USA

The Dynamical-microphysical-electrical Processes in Severe Thunderstorms and Lightning hazards(STORM973.project conducted coordinated comprehensive field observations of thunderstorms in the Beijing metropolitan region(BMR)during the warm season from 2.14 to *** aim of the project was to understand how dynamical,microphysical and electrical processes interact in severe thunderstorms in the BMR,and how to assimilate lightning data in numerical weather prediction models to improve severe thunderstorm *** platforms used in the field campaign included the Beijing Lightning Network(BLNET,consisting of 16 stations),2.X-band dual {2.ear polarimetric Doppler radars,and 4 laser raindrop *** collaboration also made use of the china Meteorological Administration’s mesoscale meteorological observation network in the Beijing-Tianjin-Hebei *** diverse thunderstorm types were documented,it was found that squall {2.es and multicell storms were the two major categories of severe thunderstorms with frequent lightning activity and extreme rainfall or unexpected local short-duration heavy rainfall resulting in inundations in the central urban area,influenced by the terrain and environmental *** flash density maximums were found in eastern Changping District,central and eastern Shunyi District,and the central urban area of Beijing,suggesting that the urban heat island effect has a crucial role in the intensification of thunderstorms over *** addition,the flash rate associated with super thunderstorms can reach hundreds of flashes per minute in the central city *** super(5%of the total),strong(3.%),and weak(60%)thunderstorms contributed about 3.%,56%,and 7%to the total flashes in the BMR,*** to the close connection between lightning activity and the thermodynamic and microphysical characteristics of the thunderstorms,the lightning flash rate can be used as an indicator of severe weather events,such as hail

关键词： Lightning 3. location Dual linear polarimetric Doppler radar Severe thunderstorm Lightning data assimilation Hail Short-term heavy precipitation

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