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Experimental analysis on pressure-relief increased permeability and its application in gas drainage under coal mining

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Electronic Journal of Geotechnical engineering 2014年第K期19卷 2525-2535页

作者： Pan, Rongkun Cheng, Yuanping Yu, Minggao Guo, Pinkun Dong, Jun Department of Safety and oScience Engineering Henan Polytechnic University Jiaozuo Henan China National Engineering Research Center for Coal Gas Control Faculty of Safety Engineering China university of Mining and Technology Xuzhou Jiangsu China College of Resources and Environmental Science Chongqing University Chongqing China

Structural plane has affected gas flow in coal seam greatly, which also controls gas permeation direction and gas extraction results, and finally it has tremendous influence gas drainage under coal mining. In order to obtain the permeability evolution of the coal seam with structural plane in different loading conditions, the coupling testing equipment of permeability-adsorption-mechanical is performed to investigate the natural coal in the process of loading-unloading, the pulse transient methods is used to test. The results show that: permeability decreased along with the increase of effective stress under loading process, in initial stage of loading, the rate of permeability change is maximum, while the effective stress increase from 1MPa to 5MPa, the permeability decrease near to 85%, after that the permeability change become slowed. In unloading process, the permeability increased along with the decrease of effective stress, when the confining pressure unloading to 2MPa, the coal sample occur shear breaking along the structural plane, the permeability suddenly increase before appear broken of coal sample, the structural plane happened permanent damage, the permeability increased. An important experimental phenomenon of unloading increase permeability mechanism was getted, the research results will be of important guiding significance for pressurerelief gas drainage by the bottom lane wear coal seam drilling, and for choosing the best scheme, layout of setting parameters of drilling boreholes, coalbed gas drainage and shale gas exploration. © 2014 ejge.

关键词： Flow of gases

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Catalysis: Enhanced Catalytic Efficiency of Pt Nanoparticles Supported on 3D Ordered Macro-/Mesoporous Ce0.6Zr0.3Y0.1O2for Methane Combustion (Small 20/2015)

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Small 2015年第20期11卷

作者： Hamidreza Arandiyan Hongxing Dai Kemeng Ji Hongyu Sun Yanyan Zhao Junhua Li State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China Particles and Catalysis Research Group School of Chemical Engineering The University of New South Wales Sydney NSW 2052 Australia Key Laboratory of Beijing on Regional Air Pollution Control Beijing Key Laboratory for Green Catalysis and Separation and Laboratory of Catalysis Chemistry and Nanoscience Department of Chemistry and Chemical Engineering College of Environmental and Energy Engineering Beijing University of Technology Beijing 100124 China National Center for Electron Microscopy in Beijing School of Materials Science and Engineering The State Key Laboratory of New Ceramics and Fine Processing Key Laboratory of Advanced Materials (MOE) Tsinghua University Beijing 100084 China

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A Non-Linear Dynamical–Statistical Model for Reconstruction of the Air–Sea Element Fields in the Tropical Pacific Ocean

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Atmosphere 2014年第3期52卷 256-270页

作者： Mei Hong Ren Zhang Chen Chen Ma Dong Wang Chengzu Bai Jingzhong Min Yide Chenpages 256-270View full textDownload full textAccess optionsDOI:10.1080/07055900.2014.908765Published online: 09 May 2014Citing articles: 0Article Views: 11Article usage statistics combine cumulative total PDF downloads full-text HTML views from publication date (but no earlier than 25 Jun 2011 launch date of this website) to 28 Jul 2014. Article views are only counted from this site. Although these data are updated every 24 hours there may be a 48-hour delay before the most recent numbers are available.Article usage statistics combine cumulative total PDF downloads full-text HTML views from publication date (but no earlier than 25 Jun 2011 launch date of this website) to 28 Jul 2014. Article views are only counted from this site. Although these data are updated every 24 hours there may be a 48-hour delay before the most recent numbers are available.Further InformationAbstractReferencesRelated articles [a] Research Center of Ocean Environment Numerical Simulation Institute of Meteorology and Oceanography PLA University of Science and Technology Nanjing China[b] Cold and Arid Regions Environmental and Engineering Research Institute Chinese Academy of Sciences Lanzhou China[c] Key Laboratory of Surficial Geochemistry Ministry of Education Department of Hydrosciences School of Earth Sciences and Engineering State Key Laboratory of Pollution Control and Resource Reuse Nanjing University Nanjing China[d] Nanjing University of Information Technology Nanjing China

ABSTRACTABSTRACTAiming at tackling the difficulty in establishing a sea surface temperature (SST) dynamical model, this study develops a non-linear dynamical–statistical model of SST fields and their correlative factors based on Genetic Algorithms (GA) and the dynamical system reconstruction idea, which greatly improves the El Niño–Southern Oscillation (ENSO) forecast model. Using Hadley SST data, sea surface wind (SSW) and sea level pressure (SLP) data from the National centers for environmental Prediction-National center for environmental research (NCEP-NCAR), with empirical orthogonal function (EOF) time-space for reconstruction, we carry out numerical integral forecasting experiments for SST, SSW, and SLP fields. By statistical analysis of the forecasting experiments, we find that forecasts for less than 25 months perform better than longer term forecasts. Based on the model, we forecast SST, SSW, and SLP fields in September, October, and November 2014 and predict a weak La Niña event. This study explores a novel method for the complex atmosphere–ocean system.Résumé[Traduit par la rédaction] Dans le but de s'attaquer à la difficulté d’établir un modèle dynamique de la température de la surface de la mer (TSM), la présente étude met au point un modèle dynamique–statistique non linéaire des champs de TSM et de leurs facteurs corrélatifs basé sur des algorithmes génétiques et sur le principe de la reconstruction de système dynamique, qui améliore grandement le modèle de prévision de l'El Niño–Oscillation australe (ENSO). À partir des données de TSM du Centre Hadley ainsi que des données de vent à la surface de la mer (VSM) et de pression au niveau de la mer (PNM) du NCEP-NCAR (National centers for environmental Prediction-National center for environmental research), avec un espace-temps de fonction orthogonale empirique pour la reconstruction, nous exécutons des expériences de prévision numériques intégrales pour les champs de TSM, de VSM et de PNM. Par l'analyse s

关键词： air-sea element field ENSO dynamical–statistical model Genetic Algorithm (GA)

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Removal of K^+,Na^+,Ca^(2+),and Mg^(2+) from saline-alkaline water using the microalga Scenedesmus obliquus

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Chinese Journal of Oceanology and Limnology 2013年第6期31卷 1248-1256页

作者：么宗利应成琦陆建学来琦芳周凯王慧陈玲 East China Sea Fisheries Research Institute Research Center for Saline Fisheries TechnologyChinese Academy of Fishery Sciences State Key Laboratory of Pollution Control and Resource Reuse College of Environmental Science and EngineeringTongji University

The capability ofScenedesmus obliquus to remove cations （K^＋, Na^＋, Ca^2＋, Mg^2＋） from saline- alkaline water was investigated at different salinities （0, 5, 10, 15, 20, 25） and carbonate alkalinities （0, 5, 10, 15, 20, 25, 30, 35 mmol/L）. K^＋, Na^＋, Ca^2＋, and Mg^2＋ in saline-alkaline water were efficiently removed by S. obliquus. The maximum removal of the cations （29.37 mg for K^＋, 185.85 mg for Na^＋, 23.07 mg for Ca^2＋, 66.14 mg for Mg^2＋） occurred at salinity 25. The maximum removal of K^＋（2.28 mg）, Na＋（6.62 mg）, Ca^2＋（1.01 mg）, and Mg2＋（0.62 mg） occurred at carbonate alkalinities of 25 mmol/L for K＊, 35 mmol/L for Na＋, 20 mmol/L for Ca2＋, and 25 mmol/L for Mf＋, respectively. Under a salinity stress, the concentration of Na＇ in S. obliquus increased significantly, while that of K~ decreased significantly. The concentrations of Ca^2＋ and Mg2＋ decreased as well. The ratios of K＋/Na~, Ca2＋/Na^＋, and Mg^2＋/Na^＋ were significantly lower in all salinity treatments than those of the control. Under alkaline stress, the concentrations of Nan and K＋ in S. obliquus decreased significantly and the ratios of K^＋/Na^＋, Ca2＋/Na^＋, and Mg^2＋/Na^＋ were significantly higher in all treatments than in the control. Moreover, the concentrations of Ca2＋ and Mg2＋ in S. obliquus at alkalinities of 5-10 mmol/L were significantly higher than those of the other treatments. The removal of Na＋ by S. obliquus mainly occurs through biosorption, and Mg^2＋ and Ca^2 ＋ were removed through both biosorption and bioaccumulation.

关键词： salinity carbonate alkalinity Scenedesmus obliquus ion composition cation removal

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Gridded usage inventories of chlordane in China

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Frontiers of environmental Science & engineering 2013年第1期7卷 10-18页

作者： Qiang WANG Lijuan ZHAO Xuekun FANG Jianhua XU Yifan LI Yehong SHI Jianxin HU State Key Joint Laboratory for Environmental Simulation and Pollution Control College of Environmental Sciences and Engineering Peking University Beijing 100871 China International Joint Research Center for Persistent Toxic Substances Harbin Institute of Technology Harbin 150001 China

Chlordane (1,2,4,5,6,7,8,8-octachloro-3a,4,7, 7a-tetra-hydro-4,7-methanoindane) is one of organochlorine pesticides (OCPs) which has been listed as one of the persistent organic pollutants (POPs) to be reduced and finally eliminated in the Stockholm Convention on Persistent Organic Pollutants, because of its great persistence, toxicity, bio-accumulation and long-range transport potential. It is critical to create a national chlordane usage inventories for China to compile chlordane emission inventories, which is helpful for carrying out risk assessments and other researches related to chlordane in China. The annual data of chlordane usage was calculated and modified in accordance with the reported annual production of chlordane which was caculated on the basis of the termite distribution, the data of chlordane usage rate and the annual new construction area (NCA).With the help of Geographic Information System, the usage data of this NCA were allocated to a grid system then, with a 1/4° longitude by 1/6° latitude resolution and a size for each grid cell of approximately 25 km by 25 km. Between 1988 and 2008, the total usage of chlordane in China was 2745 t, accounting for approximately 80% of the production in the same period. Zhejiang Province was the largest consumer of chlordane in China, whose usage adds up to 980 t, greatly exceeding other provinces/regions, followed by Jiangsu Province (534 t) and Sichuan Province (428 t). The region with the least usage of chlordane was Beijing. Provinces of Guizhou, Henan and Hebei did not use any chlordane, even though termites had occurred in these provinces. Gridded usage inventories showed that the intensive use of chlordane was concentrated in the southeast part of China, Yangtze River Delta and Pearl River Delta in particular. The satisfaction of the inventories was supported by the consistence between the estimated data of annual usage and the reported annual production of chlordane, and by the consistence between dist

关键词： chlordane inventories termites China new construction area (NCA)

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Model-based design of a subsurface wetland for water quality improvement of the inflow river of Baiyangdian Lake, China

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Journal of environmental Accounting and Management 2014年第2期2卷 181-187页

作者： Xu, Fei Zhao, Yanwei Beijing Municipal Research Academy of Environmental Protection National Engineering Research Center for Urban Environmental Pollution Control Beijing 100037 China State Key Laboratory of Water Environment Simulation School of Environment Beijing Normal University Beijing 100875 China

The decline of water quality of the inflow river has direct negative impact on the ecological conditions of lake ecosystem. The design of subsurface wetlands was considered to be an effective method for improving the water quality of inflow rivers, especially reducing the excessive nutrients to alleviate eutrophication. A subsurface wetland was designed by applying the wetland model Subwet 2.0 for treating the polluted inflow river- Fu River of Baiyangdian Lake. The simulation scenarios concerning the changes of wetland area were designed to find out the treatment effect of the subsurface wetland. The variation trends of the effluent concentrations of BOD₅, ammonium, total nitrogen and total phosphorus for the scenarios had been obtained. The area and volume of the wetland which are the core design parameters have been determined through comparing the reduction percentages of the main pollutants under different design scenarios. The results showed that the simulation results in scenario 2 can simultaneously satisfy the conditions that the efficiencies of removal of total nitrogen and total phosphorus should reach to 90% in the Fu River and meanwhile less time, which is considered as the optimal design scheme. The area and volume should be set as 875m² and 525m³ to make the water quality standard of Fu River change from class V to class III, which could greatly control the eutrophication of Baiyangdian Lake. The method of wetland design based on model could reduce the uncertainties of traditional wetland design method and facilitate the water quality improvement of aquatic ecosystems. © 2014 L and H Scientific Publishing, LLC. All rights reserved.

关键词： Fu river Subsurface wetland design Subwet 2.0 Water quality improvement

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Influence of cerium source and synthesis method on the performance of CeO2/red mud catalytic ozonation of bezafibrate from water

Influence of cerium source and synthesis method on the perfo...

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The IWA Conference on Pretreatment of Water and Wastewater(国际水协水和废水预处理会议)

作者： Huanan Li Yu Sun Bingbing Xu Fei Qi DeZhi Sun College of Environmental Science and Engineering Beijing Forestry UniversityBeijing 100083China State Key Laboratory of Environmental Criteria and Risk AssessmentChinese Research Academy of Environmental SciencesBeijing 100012China College of Environmental Science and EngineeringBeijing Forestry UniversityBeijing 100083China Beijing Key Laboratory for Source Control Technology of Water Pollution Beijing Forestry UniversityBeijing 100083China

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Leaching of LiNi1/3Co1/3Mn1/3O2 cathode scraps in trichloroacetic acid solution with hydrogen peroxide: process control and kinetics analysis

Leaching of LiNi1/3Co1/3Mn1/3O2 cathode scraps in trichloroa...

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The 6th International Conference on Hydrometallurgy(第六届国际湿法冶金会议)

作者： Xihua Zhang Yongbing Xie Hongbin Cao Huijiao An Faheem Nawazl National Engineering Laboratory for Hydrometallurgical Cleaner Production Technology Beijing100190China Key Laboratory of Green Process and Engineering Institute of Process EngineeringChinese Academy of SciencesBeijing100190China University of Chinese Academy of Sciences Beijing100049China National Engineering Laboratory for Hydrometallurgical Cleaner Production TechnologyBeijing100190China Beijing Engineering Research Center of Process Pollution Control Beijing100190China

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Sequence data and association statistics from 12,940 type 2 diabetes cases and controls

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Scientific data 2017年第1期4卷 170179页

作者： Jason Flannick Christian Fuchsberger Anubha Mahajan Tanya M Teslovich Vineeta Agarwala Kyle J Gaulton Lizz Caulkins Ryan Koesterer Clement Ma Loukas Moutsianas Davis J McCarthy Manuel A Rivas John R B Perry Xueling Sim Thomas W Blackwell Neil R Robertson N William Rayner Pablo Cingolani Adam E Locke Juan Fernandez Tajes Heather M Highland Josee Dupuis Peter S Chines Cecilia M Lindgren Christopher Hartl Anne U Jackson Han Chen Jeroen R Huyghe Martijn van de Bunt Richard D Pearson Ashish Kumar Martina Müller-Nurasyid Niels Grarup Heather M Stringham Eric R Gamazon Jaehoon Lee Yuhui Chen Robert A Scott Jennifer E Below Peng Chen Jinyan Huang Min Jin Go Michael L Stitzel Dorota Pasko Stephen C J Parker Tibor V Varga Todd Green Nicola L Beer Aaron G Day-Williams Teresa Ferreira Tasha Fingerlin Momoko Horikoshi Cheng Hu Iksoo Huh Mohammad Kamran Ikram Bong-Jo Kim Yongkang Kim Young Jin Kim Min-Seok Kwon Juyoung Lee Selyeong Lee Keng-Han Lin Taylor J Maxwell Yoshihiko Nagai Xu Wang Ryan P Welch Joon Yoon Weihua Zhang Nir Barzilai Benjamin F Voight Bok-Ghee Han Christopher P Jenkinson Teemu Kuulasmaa Johanna Kuusisto Alisa Manning Maggie C Y Ng Nicholette D Palmer Beverley Balkau Alena Stančáková Hanna E Abboud Heiner Boeing Vilmantas Giedraitis Dorairaj Prabhakaran Omri Gottesman James Scott Jason Carey Phoenix Kwan George Grant Joshua D Smith Benjamin M Neale Shaun Purcell Adam S Butterworth Joanna M M Howson Heung Man Lee Yingchang Lu Soo-Heon Kwak Wei Zhao John Danesh Vincent K L Lam Kyong Soo Park Danish Saleheen Wing Yee So Claudia H T Tam Uzma Afzal David Aguilar Rector Arya Tin Aung Edmund Chan Carmen Navarro Ching-Yu Cheng Domenico Palli Adolfo Correa Joanne E Curran Dennis Rybin Vidya S Farook Sharon P Fowler Barry I Freedman Michael Griswold Daniel Esten Hale Pamela J Hicks Chiea-Chuen Khor Satish Kumar Benjamin Lehne Dorothée Thuillier Wei Yen Lim Jianjun Liu Marie Loh Solomon K Musani Sobha Puppala William R Scott Loïc Yengo Sian-Tsung Tan Herman A Taylor Farook Thameem Gregory Wilson Tien Yin Wong Pål Rasmu Department of Molecular Biology Massachusetts General Hospital Boston Massachusetts USA. Program in Medical and Population Genetics Broad Institute Cambridge Massachusetts USA. Department of Biostatistics and Center for Statistical Genetics University of Michigan Ann Arbor Michigan USA. Wellcome Trust Centre for Human Genetics Nuffield Department of Medicine University of Oxford Oxford UK. Harvard-MIT Division of Health Sciences and Technology Massachusetts Institute of Technology Cambridge Massachusetts USA. Department of Statistics University of Oxford Oxford UK. Genetics of Complex Traits University of Exeter Medical School University of Exeter Exeter UK. MRC Epidemiology Unit Institute of Metabolic Science University of Cambridge Cambridge UK. Department of Twin Research and Genetic Epidemiology King's College London London UK. Oxford Centre for Diabetes Endocrinology and Metabolism Radcliffe Department of Medicine University of Oxford Oxford UK. Department of Human Genetics Wellcome Trust Sanger Institute Hinxton Cambridgeshire UK. School of Computer Science McGill University Montreal Quebec Canada. McGill University and Génome Québec Innovation Centre Montreal Quebec Canada. Human Genetics Center The University of Texas Graduate School of Biomedical Sciences at Houston The University of Texas Health Science Center at Houston Houston Texas USA. Department of Biostatistics Boston University School of Public Health Boston Massachusetts USA. National Heart Lung and Blood Institute's Framingham Heart Study Framingham Massachusetts USA. Medical Genomics and Metabolic Genetics Branch National Human Genome Research Institute National Institutes of Health Bethesda Maryland USA. Department of Biostatistics Harvard School of Public Health Boston Massachusetts USA. Chronic Disease Epidemiology Swiss Tropical and Public Health Institute University of Basel Basel Switzerland. Institute of Genetic Epidemiology Helmholtz Zentrum München German R

To investigate the genetic basis of type 2 diabetes (T2D) to high resolution, the GoT2D and T2D-GENES consortia catalogued variation from whole-genome sequencing of 2,657 European individuals and exome sequencing of 12,940 individuals of multiple ancestries. Over 27M SNPs, indels, and structural variants were identified, including 99% of low-frequency (minor allele frequency [MAF] 0.1-5%) non-coding variants in the whole-genome sequenced individuals and 99.7% of low-frequency coding variants in the whole-exome sequenced individuals. Each variant was tested for association with T2D in the sequenced individuals, and, to increase power, most were tested in larger numbers of individuals (>80% of low-frequency coding variants in ~82 K Europeans via the exome chip, and ~90% of low-frequency non-coding variants in ~44 K Europeans via genotype imputation). The variants, genotypes, and association statistics from these analyses provide the largest reference to date of human genetic information relevant to T2D, for use in activities such as T2D-focused genotype imputation, functional characterization of variants or genes, and other novel analyses to detect associations between sequence variation and T2D.

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Biodegradation of ferulic acid by a newly isolated strain of Cupriavidus sp. B-8

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Journal of Central South University 2013年第7期20卷 1964-1970页

作者： CHAI Li-yuan ZHANG Huan YANG Wei-chun ZHU Yong-hua YANG Zhi-hui ZHENG Yu CHEN Yue-hui National Engineering Research Center for Pollution Control of Heavy Metal (Institute of Environmental Science and Engineering School of Metallurgical Science and Engineering Central South University) Changsha 410083 China State Key Laboratory of Chemo/Biosensing and Chemometrics College of Biology Hunan University) Changsha 410082 China

As a major component of lignin and abundantly existing in softwood and hardwood, ferulic acid has been used as a lignin-related compound for lignin biodegradation study. Biodegradation of ferulic acid by Cupriavidus sp. B-8, a newly isolated strain, was studied. This strain is able to utilize a wide range of lignin-related aromatic compounds as the sole carbon and energy source, including guaiacol, veratric acid, vanillic acid, cinnamic acid, p-coumaric acid, ferulic acid, and sinapic acid. In addition, the effects of different concentrations of ferulic acid on growth of Cupriavidus sp. B-8 were studied. The growth of Cupriavidus sp. B-8 is better under the condition of lower concentration. High-performance liquid chromatography （HPLC） analysis reveals that above 95% of ferulic acid is degraded within 12 h by Cupriavidus sp. B-8. Based on identification of biodegradation intermediates and further metabolites, the biodegradation pathway of ferulic acid by Cupriavidus sp. B-8 was proposed. Ferulic acid is initially converted to 4-vinylguaiacol, and further oxidized to vanillic acid and protocatechuic acid.

关键词： Cupriavidus sp. B-8 lignin biodegradation ferulic acid gas chromatography and mass spectrometry

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