检索结果-内蒙古大学图书馆

Chinese public participation monitoring and warning system for geological hazards

学校读者我要写书评

暂无评论

Journal of Mountain Science 2020年第7期17卷 1553-1564页

作者： WU Sheng-nan LEI Yu CUI Peng CHEN Rong YIN Pi-hua Key Laboratory of Land Surface Pattern and Simulation Institute of Geographical Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing10010China Key Laboratory of Mountain Hazards and Earth Surface Processes Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu610041China University of Chinese Academy of Sciences Beijing100049China CAS Center for Excellence in Tibetan Plateau Earth Sciences Beijing100101China Liangshan Prefecture Geological Environmental Center Liangshan615000China Key Laboratory of Environmental Change and Natural Disaster Ministry of EducationBeijing Normal UniversityBeijing100875China Faculty of Geographical Science Academy of Disaster Reduction and Emergency ManagementBeijing Normal UniversityBeijing100875China

In China,many geological hazards occurred in remote mountainous regions,and it was time-consuming to disseminate disaster information for the responsible parties to make timely ***,only relying on professionals to monitor and manage disasters was demanding and *** Chinese government created a system to engage residents in the process of disaster risk management,namely’Public Participation Monitoring and Warning’(PPMW),to disseminate timely disaster information and bring down management *** objective of this system was to reduce casualties with minimum cost by organizing residents to evacuate from disasters in *** paper introduced the PPMW system,including its structure,operation mechanism by reviewing government documents and research articles,and its implementation by a case study of a landslide at Boli village(E 101°01’,N 27°29’),Yanyuan County,Sichuan Province,China on July 19th ***,this paper analyzed the strengths and limitations of the system and discussed its future *** had the potential to become an affordable disaster risk management tool for other countries facing similar situations to China.

关键词： Geological hazard Monitoring and early warning Disaster risk management Public participation Affordable solution

Characterization and Role of Molecular Size-Fractionated Colloids on Arsenic Mobilization in surface Water Around Shimen Realgar Mine

学校读者我要写书评

暂无评论

SSRN 2022年

作者： Yu, Zhenzhen Yang, Fen Li, Zhiying Wei, Chaoyang Jiang, Bin Dai, Weijie Feng, Hanxiao Zhang, Ping Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China Institute of Geographical Sciences Henan Academy of Sciences Zhengzhou450052 China State Key Laboratory of Organic Geochemistry Guangzhou Institute of Geochemistry Chinese Academy of Sciences Guangzhou510640 China University of Chinese Academy of Sciences Beijing100049 China

The mobility and transport of As in natural water are largely influenced by the inorganic components and dissolved organic matter (DOM) of colloids, but little is known about the characteristics of different molecular weights (MW) of colloids and their impacts on As mobilization. Therefore, the bulk surface water ( © 2022, The Authors. All rights reserved.

关键词： surface waters

Impact of spatial transfer of farmland on the food-water-GHG nexus in China during 2000–2020

学校读者我要写书评

暂无评论

Resources, Conservation and Recycling 2025年 221卷

作者： Liu, Yunxi Wang, Xue Tan, Minghong Zhang, Fuyao Li, Xiubin Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China College of Resources and Environment University of Chinese Academy of Sciences Beijing100049 China

Analyzing the impact of spatial transfer of farmland (STF) on the food-water-greenhouse gases (FWG) nexus through a coupled perspective holds significant scientific value for guiding sustainable farmland management policies. This study developed an integrated assessment framework to quantify FWG-nexus dynamics induced by STF, systematically evaluating changes in crop yields, irrigation water consumption, and GHG emissions across China from 2000 to 2020. The coupling coordination degree (CCD) of the FWG system was further examined. The results show that between 2000 and 2020, the area of farmland in China decreased by 2.63 × 104km2, and the center of gravity of farmland shifted approximately 56.90 km towards the northwest. Nationwide, STF led to an increase in average crop yields by 58.54 kg/ha;at the same time, the average irrigation water consumption increased by 1.93 mm, and the average GHG emissions also rose by 23.63 kgCO2-eq/ha. During the study period, the FWG-nexus exhibited a tendency toward decoupling, as indicated by a 0.21 % decrease in the FWG CCD. The increasing consumption for irrigation water and rising GHG emissions have consistently been the primary constraints to the harmonization of the FWG-nexus at the national level, with notable regional variations of these constraints. These insights help deepen the understanding of the impact of STF on the FWG-nexus, providing scientific support for sustainable land use in China and the achievement of the United Nations Sustainable Development Goals (SDGs). © 2025 Elsevier B.V.

关键词： Greenhouse gas emissions

Inconsistency and Correction of Manually Observed Ground surface Temperatures Over Snow-Covered Regions

学校读者我要写书评

暂无评论

SSRN 2023年

作者： Cao, Bin Wang, Shengdi Hao, Jiansheng Sun, Wen Zhang, Kun Institute of Tibetan Plateau Research Chinese Academy of Sciences Beijing100101 China College of Earth and Environmental Sciences Lanzhou University Lanzhou730000 China Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China Department of Mathematics The University of Hong Kong 999077 Hong Kong School of Biological Sciences The University of Hong Kong 999077 Hong Kong

Ground surface temperature (Ts) was manually measured using mercury thermometers in the early stage, and the snow surface temperature was used as Ts in areas with thick seasonal snow covers due to measurement difficulty. This practice produced Ts data that are inconsistent with more recent automatic measurements using modern instrumentation, which determine ground surface temperature in the soil beneath the snow cover. In this study, we used the observations from northeastern China to explore and correct the Ts inconsistency. The resulting Ts inconsistency varies from a few degrees to tens of degrees depending on the snow conditions and time periods considered. This inconsistency between earlier and modern measurements results in the overestimation of soil temperature warming rate in recent decades. We remove the Ts inconsistency using a numerical model that considers the effect of snow insulation on ground surface temperatures. This approach provides the means and opportunity to improve Ts records that have similarly switched from manual to automatic measurements, which is critical for soil and climate investigations. © 2023, The Authors. All rights reserved.

关键词： Snow

Quantitative attribution analysis of soil erosion in different geomorphological types in karst areas: Based on the geodetector method

学校读者我要写书评

暂无评论

Journal of Geographical Sciences 2019年第2期29卷 271-286页

作者： WANG Huan GAO Jiangbo HOU Wenjuan Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research CAS University of Chinese Academy of Sciences

The formation mechanism and influencing factors identification of soil erosion are the core and frontier issues of current research. However, studies on the multi-factor synthesis are still relatively lacked. In this study, the simulation of soil erosion and its quantitative attribution analysis have been conducted in different geomorphological types in a typical karst basin based on the RUSLE model and the geodetector method. The influencing factors, such as land use type, slope, rainfall, elevation, lithology and vegetation cover, have been taken into consideration. Results show that the strength of association between the six influencing factors and soil erosion was notably different in diverse geomorphological types. land use type and slope were the dominant factors of soil erosion in the Sancha River Basin, especially for land use type whose power of determinant(q value) for soil erosion was much higher than other factors. The q value of slope declined with the increase of relief in mountainous areas, namely it was ranked as follows: middle elevation hill> small relief mountain> middle relief mountain. Multi-factors interactions were proven to significantly strengthen soil erosion, particularly for the combination of land use type with slope, which can explain 70% of soil erosion distribution. It can be found that soil erosion in the same land use type with different slopes(such as dry land with slopes of 5° and above 25°) or in the diverse land use types with the same slope(such as dry land and forest with a slope of 5°), varied much. These indicate that prohibiting steep slope cultivation and Grain for Green Project are reasonable measures to control soil erosion in karst areas. Based on statistics of soil erosion difference between diverse stratifications of each influencing factor, results of risk detector suggest that the amount of stratification combinations with significant difference accounted for 55% at least in small relief mountain and middle relief

关键词： soil erosion distribution influencing factors RUSLE model geodetector karst Sancha River basin

Representing Model Uncertainty by Multi-Stochastic Physics Approaches in the GRAPES Ensemble

学校读者我要写书评

暂无评论

Advances in Atmospheric Sciences 2020年第4期37卷 328-346页

作者： Zhizhen XU Jing CHEN Zheng JIN Hongqi LI Fajing CHEN Department of Atmospheric and Oceanic Sciences and Institute of Atmospheric Sciences Fudan UniversityShanghai 200438China Chinese Academy of Meteorological Sciences China Meteorological AdministrationBeijing 100081China Numerical Weather Prediction Center China Meteorological AdministrationBeijing 100081China Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China

To represent model uncertainties more comprehensively,a stochastically perturbed parameterization(SPP)scheme consisting of temporally and spatially varying perturbations of 18 parameters in the microphysics,convection,boundary layer,and surface layer parameterization schemes,as well as the stochastically perturbed parameterization tendencies(SPPT)scheme,and the stochastic kinetic energy backscatter(SKEB)scheme,is applied in the Global and Regional Assimilation and Prediction Enhanced System-Regional Ensemble Prediction System(GRAPES-REPS)to evaluate and compare the general performance of various combinations of multiple stochastic physics *** experiments are performed for a summer month(1-30 June 2015)over China and multiple verification metrics are *** results show that:(1)All stochastic experiments outperform the control(CTL)experiment,and all combinations of stochastic parameterization schemes perform better than the single SPP scheme,indicating that stochastic methods can effectively improve the forecast skill,and combinations of multiple stochastic parameterization schemes can better represent model uncertainties;(2)The combination of all three stochastic physics schemes(SPP,SPPT,and SKEB)outperforms any other combination of two schemes in precipitation forecasting and surface and upper-air verification to better represent the model uncertainties and improve the forecast skill;(3)Combining SKEB with SPP and/or SPPT results in a notable increase in the spread and reduction in outliers for the upper-air wind *** directly perturbs the wind field and therefore its addition will greatly impact the upper-air wind-speed fields,and it contributes most to the improvement in spread and outliers for wind;(4)The introduction of SPP has a positive added value,and does not lead to large changes in the evolution of the kinetic energy(KE)spectrum at any wavelength;(5)The introduction of SPPT and SKEB would cause a 5%-10%and 30%-80%change in the KE of mesosc

关键词： ensemble prediction model uncertainty stochastically perturbed parameterization multi-stochastic physics approaches

Future Population Exposure to Heatwaves in 83 Global Megacities

学校读者我要写书评

暂无评论

SSRN 2023年

作者： Wang, Yuwei Zhao, Na Wu, Chaoyang Quan, Jinling Chen, Mingxing State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China College of Resources and Environment University of Chinese Academy of Sciences Beijing100049 China Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application Nanjing210023 China Key Laboratory of Land Surface Pattern and Simulation Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China Key Laboratory of Regional Sustainable Development Modelling Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China

Global warming leads to more frequent and intense heatwaves, putting urban populations at greater risk. Previous related studies considered only surface air temperature or 1-2 shared socioeconomic pathways (SSPs), and were limited to specific regions. Moreover, no research focused on heatwave exposure in highly-populated global megacities facing severe threats. This study is the first to project future population exposure to heatwaves in 83 global megacities by 2100 using fine-resolution data, suitable indices reflecting human comfort in heatwaves by incorporating temperature and humidity, and a future population exposure projection and analysis framework. The results show that (1) the global frequency of extreme heatwave events and average change rate in each megacity sequentially increase from SSP126 to SSP585, and the change rate is generally larger in megacities in the Southern Hemisphere;(2) the increases in heatwave exposure are greatest under SSP370, and the change rates are generally larger for megacities in southern Asia;(3) there is a high degree of inequality (Gini of 0.6 to 0.63) in future heatwave exposure globally, with the highest inequality under SSP585 and the lowest under SSP370;(4) the average exposure, increase rate and change are highest in low-income megacities and lowest in high-income megacities. The distribution of exposure is the most balanced in middle-income megacities and the least balanced in high-income megacities;and (5) population growth contributes more to the change in exposure than total warming in high-income megacities under SSP126;and total urban warming contributes much more than population growth in all other cases. Every effort should be made to avoid SSP370 scenario and pursue sustainable and rational urban economic development. Mumbai, Manila, Kolkata, and Jakarta warrant particular attention due to their rapid exposure growth. Additionally, policymakers and urban planners must focus on improving sustainable development pl

关键词： Population statistics

Principles and research progress of physical prevention and control technologies for algae in eutrophic water

学校读者我要写书评

暂无评论

iScience 2024年第6期27卷 109990页

作者： Wang, Yuyao Zhu, Yuanrong Wang, Kuo Tan, Yidan Bing, Xiaojie Jiang, Juan Fang, Wen Chen, Liang Liao, Haiqing State Key Laboratory of Environment Criteria and Risk Assessment Chinese Research Academy of Environmental Sciences Beijing 100012 China College of Geography and Environmental Science Northwest Normal University Lanzhou 730070 China School of Energy and Environmental Engineering University of Science and Technology Beijing Beijing 100083 China College of Environment Hohai University Nanjing 210098 China Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China School of Water Conservancy and Environment University of Jinan Jinan 250022 China

The abnormal reproduction of algae in water worldwide is prominent in the context of human interference and global climate change. This study first thoroughly analyzed the effects of physical factors, such as light, temperature, hydrodynamics, and operational strategies, on algal growth and their mechanisms. Physical control techniques are safe and have great potential for preventing abnormal algal blooms in the absence of chemical reagents. The focus was on the principles and possible engineering applications of physical shading, ultrasound, micro-current, and ultraviolet (UV) technologies, in controlling abnormal algal reproduction. Physical shading can inhibit or weaken photosynthesis in algae, thereby inhibiting their growth. Ultrasound mainly affects the physiological and biochemical activities of cells by destroying the cell walls, air cells, and active enzymes. Micro-currents destroy the algal cell structure through direct and indirect oxidation, leading to algal cell death. UV irradiation can damage DNA, causing organisms to be unable to reproduce or algal cells to die directly. This article comprehensively summarizes and analyzes the advantages of physical prevention and control technologies for the abnormal reproduction of algae, providing a scientific basis for future research. In the future, attempts will be made toward appropriately and comprehensively utilizing various physical technologies to control algal blooms. The establishment of an intelligent, comprehensive physical prevention and control system to achieve environmentally friendly, economical, and effective physical prevention and control of algae, such as the South-to-North Water Diversion Project in China, is of great importance for specific waters. © 2024 The Author(s)

关键词： Environmental engineering Environmental science Water resources engineering

Mapping Human Appropriation of Net Primary Production in Agroecosystem in the Heihe River Basin, China

学校读者我要写书评

暂无评论

SSRN 2021年

作者： Liu, Yaqun Song, Wei Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China Key Laboratory of Regional Sustainable Development Modeling Chinese Academy of Sciences Beijing100101 China Key Laboratory of Land Surface Pattern and Simulation Chinese Academy of Sciences Beijing100101 China

The Human Appropriation of Net Primary Production (HANPP) of agroecosystem is related to food security and the sustainable use of cropland, and affects biogeochemical processes such as carbon cycle and energy flow. However, current agroecosystem management lacks the support of high-resolution crop-type-specific HANPP estimation. To this end, this study integrated multi-source data of crop type, the Normalized Difference Vegetation Index (NDVI) time-series, irrigation and climate, and multiple methods of the Miami model, the Carnegie-Ames-Stanford Approach (casA) model and process parameters to map the 30 m resolution spatial distribution of agroecosystem HANPP in the Heihe River Basin (HRB) in 2007 and 2012. We then analyzed the influences of climate, irrigation and planting structure changes on HANPP. The results showed that the average HANPP in the HRB decreased from 762.4 gC/m2 to 712.1 gC/m2 from 2007 to 2012, with a decrease of 6.6%. The HANPP of wheat, barley and oilseed rape decreased by more than -10.0%, while the decrease of corn was only -3.1%. The ratio of HANPP to potential NPP (NPPpot) had dropped from 82.7% to 81.4% in the HRB. The ratio of the land-use-change-induced HANPP (HANPPLUC) to HANPP had dropped from 61.9% to 58.5%, while the ratio of crop-harvest-induced HANPP (HANPPharv) to HANPP had increased from 38.1% to 41.5%. These changes indicated that production capacity has increased, while NPP losses have been reduced in the HRB agroecosystem. The crop type conversion contributed 84.7% of the HANPP change, with a contribution value of -93.6×109 gC. HANPP was positively correlated with both temperature, and the sum of precipitation and irrigation. The crop water consumption of HRB far exceeded the actual water demand with the low irrigation efficiency, resulting in the highest HANPP consuming about 1000 mm of water. Reducing HANPP and water consumption while increasing crop production were the key to food security and sustainable agroecosystem deve

关键词： Climate change