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EXPERIMENTAL INVESTIGATION OF THE MULTI CRACK INFLUENCE ON THE GLOBAL EFFECTIVE PARAMETERS OF ROCK LIKE MATERIALS

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Scientia Geologica Sinica 1998年第2期 142-147页

作者： Liu Da′an Institute of Geology, Chinese Academy of Sciences, Beijing 100029 Li liyun and che Faxing University of Science and Technology of Beijing, Beijing 100083

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１．ＩｎｔｒｏｄｕｃｔｉｏｎＶａｒｉｏｕｓｍｅｃｈａｎｉｃａｌｐｒｏｂｌｅｍｏｆｕｎｄｅｒｇｒｏｕｎｄｒｏｃｋｍａｓｗｈｉｃｈｉｓｎｏｒｍａｌｙｗｉｔｈａｌａｒｇｅｎｕｍｂｅｒｏｆｄｅｆｅｃｔｓｓｕｃｈａｓｃｒａｃｋｓａｒｅｏｆｔｅｎｉｎｖｏｌｖｅｄ...

关键词： ROCK LIKE PARAMETERS MATERIALS EFFECTIVE CRACK

Fuzzy Gain based Adaptive Fuzzy Logic Controller for BLDCM Drive

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Fuzzy Gain based Adaptive Fuzzy Logic Controller for BLDCM D...

Estimating snow depth or snow water equivalent from space

第二十七届中国控制会议

作者： Xiu Jie 1,Liu liyun 1,che Yanbo 1,Wang Shiyu 2 1.School of electrical engineering and automation,Tianjin University,Tianjin 300072,P.R.China 2.School of mechanical engineering,Tianjin University,Tianjin 300072,P.R.China

An fuzzy gain based adaptive fuzzy logic controller（FLC） is developed for the speed control of brushless DC motor（BLDCM） drive in this *** a FLC,the way to improve the performance of the FLC is to tune the fuzzy rules,membership function and scaling gains of inputs and *** scaling gains of the inputs and output of the proposed fuzzy controller are parameters that can be tuned ***,in this paper,an adaptive FLC with the tuning of scaling gains by fuzzy logic is *** advantage of this method is that the universe of discourse of the fuzzy sets can be tuned by adjusting the scaling gains according to the speed *** significantly improves the dynamic response and steady state performance of the system under the control of the proposed adaptive *** this paper,the principles of tuning scaling gains of the inputs and output are *** proposed adaptive FLC has the characteristics of robustness,adaptive and facility to take advantage of human control *** experimental tests are carried out for the proposed adaptive *** experimental results demonstrate that the proposed adaptive FLC presents a superior performance than the conventional FLC.

关键词： Brushless DC motor Fuzzy logic Adaptive tuning of scaling gains Adaptive fuzzy logic controller

来源： cnki会议评论

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Research in Cold and Arid Regions 2022年第2期14卷 79-90页

作者： liyun Dai Tao che Key Laboratory of Remote Sensing of Gansu Province Heihe Remote Sensing Experimental Research StationNorthwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhouGansu 730000China Center for Excellence in Tibetan Plateau Earth Sciences Chinese Academy of SciencesBeijing 100101China

Satellite remote sensing is widely used to estimate snow depth and snow water equivalent(SWE)which are two key parameters in global and regional climatic and hydrological *** sensing techniques for snow depth mainly include passive microwave remote sensing,Synthetic Aperture Radar(SAR),Interferometric SAR(In SAR)and *** them,passive microwave remote sensing is the most efficient way to estimate large scale snow depth due to its long time series data and high temporal *** microwave remote sensing was utilized to monitor snow depth starting in 1978 when Nimbus-7 satellite with Scanning Multichannel Microwave Radiometer(SMMR)freely provided multi-frequency passive microwave *** was found to have ability to detecting snow depth in 1980 s,but was not used for satellite active microwave remote sensing until *** Lidar was utilized to detect snow depth since the later period of 2000 *** estimation of snow depth from space has experienced significant progress during the last 40 ***,challenges or uncertainties still exist for snow depth estimation from *** this study,we review the main space remote sensing techniques of snow depth *** algorithms and their principles are described,and problems or disadvantages of these algorithms are *** was found that snow depth retrieval in mountainous area is a big challenge for satellite remote sensing due to complicated *** increasing number of freely available SAR data,future new methods combing passive and active microwave remote sensing are needed for improving the retrieval accuracy of snow depth in mountainous areas.

关键词： snow depth snow water equivalent remote sensing satellite

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Spatial and Temporal Variability of Snow Depth Derived from Passive Microwave Remote Sensing Data in Kazakhstan

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Journal of Meteorological Research 2016年第6期30卷 1033-1043页

作者： MASHTAYEVA Shamshagul DAI liyun che Tao SAGINTAYEV Zhanay SADVAKASOVA Saltanat KUSSAINOVA Marzhan ALIMBAYEVA Danara AKYNBEKKYZY Meerzhan Lev Gumilev Eurasian National University Astana 010000 Kazakhstan Key Laboratory of Remote Sensing of Gansu Province Heihe Remote Sensing Experimental Research Station Cold and Arid Regions Environmental and Engineering Research Institute Chinese Academy of Sciences Lanzhou 730000 China Nazarbayev University Astana 01000 Kazakhstan National Hydrometeorological Service of the Republic of Kazakhstan Astana 010000 Kazakhstan Center for Excellence in Tibetan Plateau Earth Sciences Chinese Academy of Sciences Beijing 100101 China

Snow cover plays an important role in the hydrological cycle and water management in Kazakhstan. However, traditional observations do not meet current needs. In this study, a snow depth retrieval equation was developed based on passive microwave remote sensing data. The average snow depth in winter （ASDW）, snow cover duration （SCD）, monthly maximum snow depth （MMSD）, and annual average snow depth （AASD） were derived for each year to monitor the spatial and temporal snow distributions. The SCD exhibited significant spatial variations from 30 to 250 days. The longest SCD was found in the mountainous area in eastern Kazakhstan, reaching values between 200 and 250 days in 2005. The AASD increased from the south to the north and maintained latitudinal zonality. The MMSD in most areas ranged from 20 to 30 cm. The ASDW values ranged regularity of latitudinal zonality from 15 to 20 cm in the eastern region and were characterized by spatial The ASDW in the mountainous area often exceeded 20 cm.

关键词： snow cover snow depth remote sensing passive microwave spatial and temporal variations Kazakhstan

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Accuracy assessment of four cloud-free snow cover products over the Qinghai-Tibetan Plateau

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International Journal of Digital Earth 2019年第4期12卷 375-393页

作者： Xiaohua Hao Siqiong Luoa Tao che Jian Wang Hongyi Li liyun Dai Xiaodong Huang Qisheng Feng Northwest Institute of Eco-Environment and Resources Chinese Academy of SciencesLanzhouGansuPeople’s Republic of China Heihe Remote Sensing Experimental Research Station Chinese Academy of SciencesLanzhouPeople’s Republic of China CAS Center for Excellence in Tibetan Plateau Earth Sciences BeijingPeople’s Republic of China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing Normal UniversityNanjingPeople’s Republic of China State Key Laboratory of Grassland Agro-ecosystems College of Pastoral Agriculture Science and TechnologyLanzhou UniversityLanzhouGansuPeople’s Republic of China

Four up-to-date daily cloud-free snow products–IMS(InteractiveMultisensor Snow products),MOD-SSM/I(combination of the MODIS andSSM/I snow products),MOD-B(Blending method basing on the MODISsnow cover products)and TAI(Terra–Aqua–IMS)–with high-resolutionsover the Qinghai-Tibetan Plateau(QTP)were comprehensively *** of the IMS,MOD-SSM/I,MOD-B and TAI cloud-free snowproducts against meteorological stations observations over 10 snowseasons(2004–2013)over the QTP indicated overall accuracies of 76.0%,89.3%,92.0%and 92.0%,*** Khat values of the IMS,MODSSM/I,MOD-B and TAI products were 0.084,0.463,0.428 and 0.526,*** TAI products appear to have the best cloud-removalability among the four snow products over the *** on theassessment,an I-TAI(Improvement of Terra–Aqua–IMS)snow productwas proposed,which can improve the accuracy to some ***,the algorithms of the MODIS series products show instabilitywhen identifying wet snow and snow under forest cover over the *** snow misclassification is an important limitation of MODIS snowcover products and requires additional improvements.

关键词： MODIS IMS snow-covered area cloud removal TAI

Spatiotemporal distributions and influences on snow density in China from 1999 to 2008

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Research in Cold and Arid Regions 2011年第4期3卷 325-331页

作者： liyun Dai Tao che Cold and Arid Regions Remote Sensing Observation System Experiment Station Cold and Arid Regions Environmental and Engineering Research Institute Chinese Academy of Sciences Lanzhou Gansu 730000 China Graduate University of the Chinese Academy of Sciences Beijing 100039 China

Ground snow observation data from 1999 to 2008 were used to analyze the temporal and spatial distribution of snow density in China. The monthly maximum density shifted from north to south during the period from October to the following January, and then moved back from south to north during the period from January to April. The maximum snow density occurred at the border between Hunan and Jiangxi provinces in January, where snow cover duration was short and varied remarkably. Snow density in Northeast China and the Xinjiang Uygur Autonomous Region were also high and showed less variation when the snow cover duration was long. Ground observation data from nine weather stations were selected to study changes of snow density in Northeast and Northwest China. A phase of stable snow density occurred from the middle ten days of November to the following February; non-stationary density phases were observed from October to the first ten days of November and from March to April. To further investigate the effects of climatic factors on snow density, correlations between snow density and precipitation, air temperature, snow depth and wind velocity for Northeast and Northwest China were analyzed. Correlation analysis showed that snow depth was the primary influence on snow density.

关键词： snow density spatiotempolal distribution

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One-pot hydrothermal synthesis of hierarchical porous manganese silicate microspheres as excellent Fenton-like catalysts for organic dyes degradation

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Nano Research 2022年第4期15卷 2977-2986页

作者： Yuyu Zheng Lihua Wang liyun Zhang Heng Zhang Wancheng Zhu Department of chemical Engineering Qufu Normal UniversityQufu 273165China

Towards bottlenecks demonstrated by typical Fenton-like catalysts in advanced oxidation processes(AOPs)for wastewater treatment,novel hierarchical porousMn^(2+)Mn_(6)^(3+)SiO_(12)(Mn_(7)SiO_(12),MSO-12)microspheres(specific surface area:434.90 m^(2)·g^(-1),pore volume:0.78 cm^(3)·g^(-1))were rationally designed and achieved via a simple one-pot hydrothermal method(150℃ and 12.0 h)without any pre-prepared templates or organic solvents,by using abundant MnCl_(2)·4H_(2)O and Na_(2)SiO_(3)·9H_(2)O as the basic raw *** MSO-12 microspheres are confirmed as high-efficiency Fenton-like catalysts for degradation of organic dyes(methylene blue(MeB),Rhodamine B(RhB),and methyl blue(MB))in the presence of H_(2)O_(2),with impressively high specific consumption amount of MeB(R=12.35 mg·g^(-1)·min^(-1))and extremely low leaching of Mn(Mnloss%=0.27%).Simultaneously,the synergetic effect of adsorption and degradation on the superior removal of MeB is *** excellent recycling performances,especially the satisfactory removal of MeB from the actual water bodies(e.g.,tap water and river water),as well as potential applications for degradation of RhB and MB enable the MSO-12 microspheres as a novel promising competitive candidate Fenton-like catalyst.

关键词： hierarchical porous manganese silicate microspheres Fenton-like catalysts degradation organic dyes

Trace nitrogen-doped hierarchical porous biochar nanospheres:Waste corn roots derived superior adsorbents for high concentration single and mixed organic dyes removal

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Nano Research 2023年第2期16卷 1846-1858页

作者： Lihua Wang Hongwei Li Mingyue Li liyun Zhang Heng Zhang Zi-Yu Liu Wancheng Zhu Department of chemical Engineering Qufu Normal UniversityQufu 273165China Institute of Engineering Thermophysics Chinese Academy of SciencesBeijing 100190China

Seeking high performance adsorbents for highly efficient treatment of wastewater containing organic dyes has become increasingly imperative ***,with a specific surface area(SSA)of 2,745.4 m^(2)·g^(−1),trace N-doped porous biochar nanospheres(NPBs)are derived for the first time from affluent waste corn roots,via a hydrothermal conversion followed by a mild calcined activation by K2CO3(KC)in the presence of low virulent *** acts as N source and synergistic activator for significant promotion in SSA,pore volume,and surface *** obtained NPBs(CHC-0.5N-4KC-900)are confirmed as superior adsorbents for removal of organic dyes rhodamine B(RhB,qm=1,630.7 mg·g^(−1))and Congo red(CR,qm=1,766.2 mg·g^(−1))as well as their mixtures,within not only a low(50,esp.250–1500 mg·L^(−1))concentration *** values for qm are far beyond commercially activated carbon(AC)as well as most reported biomass derived carbons,undoubtedly revealing the NPBs as great promising candidate adsorbents for disposal of real industrial *** addition,the adsorption of RhB is fitted by Langmuir,Freundlich,Temkin,and Dubinin–Radushkevich isotherm *** kinetic analysis indicates that the adsorption before equilibrium conforms to the pseudo-second-order model,and the hydrogen bonding,electrostatic attraction,and esp.π–πinteraction have contributed to the superior adsorption performance of the NPBs.

关键词： biomass corn roots N-doped carbons biochar organic dyes adsorption

Using waste to treat waste:Red mud induced hierarchical porousγ-AlOOH andγ-Al_(2)O_(3) microspheres as superior Pd support for catalytic reduction of 4-nitrophenol

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Particuology 2023年第2期73卷 59-67页

作者： Yuyu Zheng Jingyi Wang Panpan Sun Huimin Xue liyun Zhang Jinxiu chen Heng Zhang Wancheng Zhu Department of chemical Engineering Qufu Normal UniversityShandong273165China

Toward the imperative treatment of the industrial wastewater containing 4-nitrophenol(4-NP)and industrial solid waste red mud(RM),an innovative approach of“Using waste to treat waste”is *** element Al is leached from the RM first,the resultant NaAlO_(2) solution is hydrothermally converted toγ-AlOOH hierarchical porous microspheres(RMγ-AlOOH HPMSs,average diameter:2.0μm,SBET:77.81 m^(2) g^(-1),pore volume:0.38 cm^(3) g^(-1))in the presence of *** subsequent mild thermal conversion results inγ-Al_(2)O_(3) hierarchical porous microspheres(RMγ-Al_(2)O_(3) HPMSs).Both of the RMγ-AlOOH and RMγ-Al_(2)O_(3) HPMSs are employed as the Pd catalyst support for the catalytic reduction of ***,the as-obtained composite Pd/RMγ-AlOOH and Pd/RMγ-Al_(2)O_(3) exhibit excellent catalytic activities with superior knor as 8204.5 and 4831.4 s^(-1) g^(-1),respectively,significantly higher than that of most Pd based ***,the excellent catalytic stability and durability of the Pd/RMγ-AlOOH and Pd/RMγ-Al_(2)O_(3) within 10 successive cycles of reduction enable the present industrial solid waste RM inducedγ-AlOOH andγ-Al_(2)O_(3) HPMSs as great promising Pd catalyst support for the reduction of the industrial wastewater containing 4-NP.

关键词： Red mud Waste treatment Hierarchical porous AlOOH Al_(2)O_(3) 4-Nitrophenol