Seroprevalence of Toxoplasma Gondii Infection in Sheep in Inner Mongolia Province, China
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Multi-Scale Analysis of Green Space for Human Settlement Sustainability in Urban Areas of the Inner Mongolia Plateau, China
sustainability Article Multi-Scale Analysis of Green Space for Human Settlement Sustainability in Urban Areas of the Inner Mongolia Plateau, China Wenfeng Chi 1,2, Jing Jia 1,2, Tao Pan 3,4,5,* , Liang Jin 1,2 and Xiulian Bai 1,2 1 College of resources and Environmental Economics, Inner Mongolia University of Finance and Economics, Inner Mongolia, Hohhot 010070, China; [email protected] (W.C.); [email protected] (J.J.); [email protected] (L.J.); [email protected] (X.B.) 2 Resource Utilization and Environmental Protection Coordinated Development Academician Expert Workstation in the North of China, Inner Mongolia University of Finance and Economics, Inner Mongolia, Hohhot 010070, China 3 College of Geography and Tourism, Qufu Normal University, Shandong, Rizhao 276826, China 4 Department of Geography, Ghent University, 9000 Ghent, Belgium 5 Land Research Center of Qufu Normal University, Shandong, Rizhao 276826, China * Correspondence: [email protected]; Tel.: +86-1834-604-6488 Received: 19 July 2020; Accepted: 18 August 2020; Published: 21 August 2020 Abstract: Green space in intra-urban regions plays a significant role in improving the human habitat environment and regulating the ecosystem service in the Inner Mongolian Plateau of China, the environmental barrier region of North China. However, a lack of multi-scale studies on intra-urban green space limits our knowledge of human settlement environments in this region. In this study, a synergistic methodology, including the main process of linear spectral decomposition, vegetation-soil-impervious surface area model, and artificial digital technology, was established to generate a multi-scale of green space (i.e., 15-m resolution intra-urban green components and 0.5-m resolution park region) and investigate multi-scale green space characteristics as well as its ecological service in 12 central cities of the Inner Mongolian Plateau. -
Study on Climate and Grassland Fire in Hulunbuir, Inner Mongolia Autonomous Region, China
Article Study on Climate and Grassland Fire in HulunBuir, Inner Mongolia Autonomous Region, China Meifang Liu 1, Jianjun Zhao 1, Xiaoyi Guo 1, Zhengxiang Zhang 1,*, Gang Tan 2 and Jihong Yang 2 1 Provincial Laboratory of Resources and Environmental Research for Northeast China, Northeast Normal University, Changchun 130024, China; [email protected] (M.L.); [email protected] (J.Z.); [email protected] (X.G.) 2 Jilin Surveying and Planning Institute of Land Resources, Changchun 130061, China; [email protected] (G.T.); [email protected] (J.Y.) * Correspondence: [email protected]; Tel.: +86-186-0445-1898 Academic Editors: Jason Levy and George Petropoulos Received: 15 January 2017; Accepted: 13 March 2017; Published: 17 March 2017 Abstract: Grassland fire is one of the most important disturbance factors of the natural ecosystem. Climate factors influence the occurrence and development of grassland fire. An analysis of the climate conditions of fire occurrence can form the basis for a study of the temporal and spatial variability of grassland fire. The purpose of this paper is to study the effects of monthly time scale climate factors on the occurrence of grassland fire in HulunBuir, located in the northeast of the Inner Mongolia Autonomous Region in China. Based on the logistic regression method, we used the moderate-resolution imaging spectroradiometer (MODIS) active fire data products named thermal anomalies/fire daily L3 Global 1km (MOD14A1 (Terra) and MYD14A1 (Aqua)) and associated climate data for HulunBuir from 2000 to 2010, and established the model of grassland fire climate index. The results showed that monthly maximum temperature, monthly sunshine hours and monthly average wind speed were all positively correlated with the fire climate index; monthly precipitation, monthly average temperature, monthly average relative humidity, monthly minimum relative humidity and the number of days with monthly precipitation greater than or equal to 5 mm were all negatively correlated with the fire climate index. -
Annual Report Annual Report 2020
2020 Annual Report Annual Report 2020 For further details about information disclosure, please visit the website of Yanzhou Coal Mining Company Limited at Important Notice The Board, Supervisory Committee and the Directors, Supervisors and senior management of the Company warrant the authenticity, accuracy and completeness of the information contained in the annual report and there are no misrepresentations, misleading statements contained in or material omissions from the annual report for which they shall assume joint and several responsibilities. The 2020 Annual Report of Yanzhou Coal Mining Company Limited has been approved by the eleventh meeting of the eighth session of the Board. All ten Directors of quorum attended the meeting. SHINEWING (HK) CPA Limited issued the standard independent auditor report with clean opinion for the Company. Mr. Li Xiyong, Chairman of the Board, Mr. Zhao Qingchun, Chief Financial Officer, and Mr. Xu Jian, head of Finance Management Department, hereby warrant the authenticity, accuracy and completeness of the financial statements contained in this annual report. The Board of the Company proposed to distribute a cash dividend of RMB10.00 per ten shares (tax inclusive) for the year of 2020 based on the number of shares on the record date of the dividend and equity distribution. The forward-looking statements contained in this annual report regarding the Company’s future plans do not constitute any substantive commitment to investors and investors are reminded of the investment risks. There was no appropriation of funds of the Company by the Controlling Shareholder or its related parties for non-operational activities. There were no guarantees granted to external parties by the Company without complying with the prescribed decision-making procedures. -
Spatiotemporal Patterns of Desertification Dynamics And
sustainability Article Spatiotemporal Patterns of Desertification Dynamics and Desertification Effects on Ecosystem Services in the Mu Us Desert in China Qingfu Liu 1,†, Yanyun Zhao 1,†, Xuefeng Zhang 1,2, Alexander Buyantuev 3 ID , Jianming Niu 1,* and Xiaojiang Wang 4,* 1 School of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China; [email protected] (Q.L.); [email protected] (Y.Z.); [email protected] (X.Z.) 2 College of Resources and Environment, Baotou Normal College, Inner Mongolia University of Science and Technology, Baotou 014030, China 3 Department of Geography and Planning, University at Albany, State University of New York, Albany, NY 12222, USA; [email protected] 4 Inner Mongolia Academy of Forestry Science, Hohhot 010010, China * Correspondence: [email protected] (J.N.); [email protected] (X.W.); Tel.: +86-471-499-2735 (J.N.) † These authors contributed equally to this work and should be considered co-first authors. Received: 30 December 2017; Accepted: 23 February 2018; Published: 26 February 2018 Abstract: Degradation of semi-arid and arid ecosystems due to desertification is arguably one of the main obstacles for sustainability in those regions. In recent decades, the Mu Us Desert in China has experienced such ecological degradation making quantification of spatial patterns of desertification in this area an important research topic. We analyzed desertification dynamics for seven periods from 1986 to 2015 and focused on five ecosystem services including soil conservation, water retention, net primary productivity (NPP), crop productivity, and livestock productivity, all assessed for 2015. Furthermore, we examined how ecosystem services relate to each other and are impacted by desertification. -
Heavy Metals in the Riverbed Surface Sediment of the Yellow River, China
See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/308575778 Heavy metals in the riverbed surface sediment of the Yellow River, China Article in Environmental Science and Pollution Research · December 2016 DOI: 10.1007/s11356-016-7712-z CITATIONS READS 17 242 9 authors, including: Feifei Wang Wang Lei Harbin Institute of Technology Shenzhen Graduate School Harbin Institute of Technology Shenzhen Graduate School 12 PUBLICATIONS 401 CITATIONS 24 PUBLICATIONS 475 CITATIONS SEE PROFILE SEE PROFILE All content following this page was uploaded by Wang Lei on 31 January 2018. The user has requested enhancement of the downloaded file. Environ Sci Pollut Res DOI 10.1007/s11356-016-7712-z RESEARCH ARTICLE Heavy metals in the riverbed surface sediment of the Yellow River, China Qingyu Guan1 & Ao Cai1 & Feifei Wang1 & Lei Wang1 & Tao Wu 1 & Baotian Pan 1 & Na Song1 & Fuchun Li 1 & Min Lu1 Received: 28 May 2016 /Accepted: 14 September 2016 # Springer-Verlag Berlin Heidelberg 2016 Abstract One hundred and eleven riverbed surface sediment ately contaminated with Ti, Mn, V and Cr because of the dual (RSS) samples were collected to determine the heavy metal influence of anthropogenic activities and nature; and slightly concentration throughout the Inner Mongolia reach of the to not contaminated with Co because it occurs mainly in the Yellow River (IMYR), which has been subjected to rapid eco- bordering desert areas. nomic and industrial development over the past several de- cades. Comprehensive analysis of heavy metal contamination, Keywords The Yellow River . Surface sediment . Heavy including the enrichment factor, geo-accumulation index, con- metal . -
7 Resettlement Implementation Plan
RP979 Bayannaoer City Comprehensive Water Environment Treatment Project Public Disclosure Authorized Resettlement Action Plan for appraisal Public Disclosure Authorized Public Disclosure Authorized Bayanor City Hetao Water Affair Co. Ltd. Public Disclosure Authorized June.2010 Contents OBJECTIVES OF THE RAP AND THE DEFINITION OF RESETTLEMENT TERMINOLOGY ......................................................................................................... 1 1 PROJECT OVERVIEW............................................................................................ 4 1.1 PROJECT BACKGROUND ....................................................................................... 4 1.2 PROJECT COMPONENTS AND PROJECT GENERAL SITUATION .................................. 5 1.2.1 Project Components .................................................................................... 5 1.2.2 Project General Situation .......................................................................... 5 1.3 PROJECT IMPACT AND SERVICE SCOPE .................................................................. 9 2 IMPACT ANALYSIS ON NATURE, SOCIETY AND ECONOMY OF PROJECT AFFECTED AREA .................................................................................................... 10 2.1 NATURAL CONDITIONS OF PROJECT-AFFECTED AREA ............................................ 10 2.2 SOCIAL AND ECONOMIC PROFILE ......................................................................... 12 2.3 PRESENT SITUATION OF SOCIAL ECONOMIC DEVELOPMENT IN PROJECT AFFECTED -
Empirical and Model-Based Estimates of Spatial and Temporal Variations in Net Primary Productivity in Semi-Arid Grasslands of Northern China
RESEARCH ARTICLE Empirical and model-based estimates of spatial and temporal variations in net primary productivity in semi-arid grasslands of Northern China Shengwei Zhang1,2, Rui Zhang1, Tingxi Liu1*, Xin Song3, Mark A. Adams4 1 College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot, China, 2 Centre for Carbon, Water and Food, University of Sydney, Sydney, Australia, 3 College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, China, 4 Swinburne University of a1111111111 Technology, Faculty of Science Engineering and Technology, Hawthorn, Victoria, Australia a1111111111 a1111111111 * [email protected] a1111111111 a1111111111 Abstract Spatiotemporal variations in net primary productivity (NPP) reflect the dynamics of water and carbon in the biosphere, and are often closely related to temperature and precipitation. OPEN ACCESS We used the ecosystem model known as the Carnegie-Ames-Stanford Approach (CASA) to Citation: Zhang S, Zhang R, Liu T, Song X, A. Adams M (2017) Empirical and model-based estimate NPP of semiarid grassland in northern China counties between 2001 and 2013. estimates of spatial and temporal variations in net Model estimates were strongly linearly correlated with observed values from different coun- primary productivity in semi-arid grasslands of ties (slope = 0.76 (p < 0.001), intercept = 34.7 (p < 0.01), R2 = 0.67, RMSE = 35 g CÁm-2Á Northern China. PLoS ONE 12(11): e0187678. year-1, bias = -0.11 g CÁm-2Áyear-1). We also quantified inter-annual changes in NPP over https://doi.org/10.1371/journal.pone.0187678 the 13-year study period. NPP varied between 141 and 313 g CÁm-2Áyear-1, with a mean of Editor: Ben Bond-Lamberty, Pacific Northwest 240 g CÁm-2Áyear-1. -
Chinacoalchem
ChinaCoalChem Monthly Report Issue May. 2019 Copyright 2019 All Rights Reserved. ChinaCoalChem Issue May. 2019 Table of Contents Insight China ................................................................................................................... 4 To analyze the competitive advantages of various material routes for fuel ethanol from six dimensions .............................................................................................................. 4 Could fuel ethanol meet the demand of 10MT in 2020? 6MTA total capacity is closely promoted ....................................................................................................................... 6 Development of China's polybutene industry ............................................................... 7 Policies & Markets ......................................................................................................... 9 Comprehensive Analysis of the Latest Policy Trends in Fuel Ethanol and Ethanol Gasoline ........................................................................................................................ 9 Companies & Projects ................................................................................................... 9 Baofeng Energy Succeeded in SEC A-Stock Listing ................................................... 9 BG Ordos Started Field Construction of 4bnm3/a SNG Project ................................ 10 Datang Duolun Project Created New Monthly Methanol Output Record in Apr ........ 10 Danhua to Acquire & -
Table of Codes for Each Court of Each Level
Table of Codes for Each Court of Each Level Corresponding Type Chinese Court Region Court Name Administrative Name Code Code Area Supreme People’s Court 最高人民法院 最高法 Higher People's Court of 北京市高级人民 Beijing 京 110000 1 Beijing Municipality 法院 Municipality No. 1 Intermediate People's 北京市第一中级 京 01 2 Court of Beijing Municipality 人民法院 Shijingshan Shijingshan District People’s 北京市石景山区 京 0107 110107 District of Beijing 1 Court of Beijing Municipality 人民法院 Municipality Haidian District of Haidian District People’s 北京市海淀区人 京 0108 110108 Beijing 1 Court of Beijing Municipality 民法院 Municipality Mentougou Mentougou District People’s 北京市门头沟区 京 0109 110109 District of Beijing 1 Court of Beijing Municipality 人民法院 Municipality Changping Changping District People’s 北京市昌平区人 京 0114 110114 District of Beijing 1 Court of Beijing Municipality 民法院 Municipality Yanqing County People’s 延庆县人民法院 京 0229 110229 Yanqing County 1 Court No. 2 Intermediate People's 北京市第二中级 京 02 2 Court of Beijing Municipality 人民法院 Dongcheng Dongcheng District People’s 北京市东城区人 京 0101 110101 District of Beijing 1 Court of Beijing Municipality 民法院 Municipality Xicheng District Xicheng District People’s 北京市西城区人 京 0102 110102 of Beijing 1 Court of Beijing Municipality 民法院 Municipality Fengtai District of Fengtai District People’s 北京市丰台区人 京 0106 110106 Beijing 1 Court of Beijing Municipality 民法院 Municipality 1 Fangshan District Fangshan District People’s 北京市房山区人 京 0111 110111 of Beijing 1 Court of Beijing Municipality 民法院 Municipality Daxing District of Daxing District People’s 北京市大兴区人 京 0115 -
Responses of Carbon Isotope Ratios of C3 Herbs to Humidity Index in Northern China*
Turkish Journal of Earth Sciences Turkish J Earth Sci (2014) 23: 100-111 http://journals.tubitak.gov.tr/earth/ © TÜBİTAK Research Article doi:10.3906/yer-1305-2 Responses of carbon isotope ratios of C3 herbs to humidity index in northern China* 1,2,3, 2 2 2 1 Xianzhao LIU *, Qing SU , Chaokui LI , Yong ZHANG , Qing WANG 1 College of Geography and Planning, Ludong University, Yantai, P.R. China 2 College of Architecture and Urban Planning, Hunan University of Science & Technology, Xiangtan, P.R. China 3 State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Water and Soil Conservation, Chinese Academy of Sciences, Yangling, P.R. China Received: 04.05.2013 Accepted: 02.09.2013 Published Online: 01.01.2014 Printed: 15.01.2014 Abstract: Uncertainties would exist in the relationship between δ13C values and environmental factors such as temperature, resulting in unreliable reconstruction of paleoclimates. It is therefore important to establish a rational relationship between plant δ13C and a proxy for paleoclimate reconstruction that can comprehensively reflect temperature and precipitation. By measuring the δ13C of a large 13 number of C3 herbaceous plants growing in different climate zones in northern China and collecting early reported δ C values of C3 13 herbs in this study area, the spatial features of δ C values of C3 herbs and their relationships with humidity index were analyzed. The 13 δ C values of C3 herbaceous plants in northern China ranged from –29.9‰ to –25.4‰, with the average value of –27.3‰. The average 13 δ C value of C3 herbaceous plants increased notably from the semihumid zone to the semiarid zone to the arid zone; the variation 13 ranges of δ C values of C3 plants in those 3 climatic zones were –29.9‰ to –26.7‰ (semihumid area), –28.4‰ to –25.6‰ (semiarid 13 area), and –28.0‰ to –25.4‰ (arid area). -
51596 Federal Register / Vol
51596 Federal Register / Vol. 85, No. 162 / Thursday, August 20, 2020 / Rules and Regulations DEPARTMENT OF COMMERCE 660–0144 or (408) 998–8806 or email following foreign-produced items will your inquiry to: [email protected]. now apply when there is knowledge Bureau of Industry and Security SUPPLEMENTARY INFORMATION: that either the foreign-produced item will be incorporated into, or that the 15 CFR Parts 736, 744 and 762 Background foreign-produced item will be used in [Docket No. 200813–0225] Huawei Technologies Co., Ltd. the ‘‘production’’ or ‘‘development’’ of (Huawei) and sixty-eight of its non-U.S. any ‘‘part,’’ ‘‘component,’’ or RIN 0694–AH99 affiliates were added to the Entity List ‘‘equipment’’ produced, purchased, or effective May 16, 2019 (84 FR 22961, ordered by any entity with a footnote 1 Addition of Huawei Non-U.S. Affiliates May 21, 2019). Effective August 19, designation in the license requirement to the Entity List, the Removal of 2019 (84 FR 43487, August 21, 2019), an column of this supplement; or when any Temporary General License, and additional forty-six non-U.S. affiliates entity with a footnote 1 designation in Amendments to General Prohibition were placed on the Entity List. Their the license requirement column of this Three (Foreign-Produced Direct addition to the Entity List imposed a supplement is a party to any transaction Product Rule) licensing requirement under the Export involving the foreign-produced item, AGENCY: Bureau of Industry and Administration Regulations (EAR) e.g., as a ‘‘purchaser,’’ ‘‘intermediate Security, Commerce. regarding the export, reexport, or consignee,’’ ‘‘ultimate consignee,’’ or transfer (in-country) of most items ACTION: Final rule. -
Imbalance in Spatial Accessibility to Primary and Secondary Schools in China: Guidance for Education Sustainability
sustainability Article Imbalance in Spatial Accessibility to Primary and Secondary Schools in China: Guidance for Education Sustainability Yuan Gao 1, Qingsong He 1,*, Yaolin Liu 1,2,3,*, Lingyu Zhang 1, Haofeng Wang 1 and Enxiang Cai 1 1 School of Resource and Environmental Science, Wuhan University, 129Luoyu Road, Wuhan 430079, China; [email protected] (Y.G.);[email protected] (L.Z.); [email protected] (H.W.); [email protected] (E.C.) 2 Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University, 129Luoyu Road, Wuhan 430079, China 3 Collaborative Innovation Center for Geospatial Information Technology, Wuhan 430079, China * Correspondence: [email protected] (Q.H.); [email protected] (Y.L.) Academic Editor: Marc A. Rosen Received: 16 September 2016; Accepted: 23 November 2016; Published: 28 November 2016 Abstract: Compulsory education is an important aspect of the societal development. Meanwhile, education equality safeguards the effectiveness of education systems and is an important part of social equality. This study analyzes the inequality of compulsory education from the perspective of imbalanced spatial distribution. Unlike previous studies that have measured the spatial distribution of education simply based on the spatial position of primary and secondary schools, we explore spatial accessibility based on the shortest travel distance from residents to schools, and then analyze the inequality of compulsory education through the distribution of spatial accessibility. We use 2873 Chinese counties as statistical units, and perform a statistical and graphical analysis of their spatial accessibility using the Theil index and spatial autocorrelation analyses. To analyze the differences in the spatial accessibility distribution on the national and regional levels, we use three partitioned modes: the terrain partitioned mode, the economic development partitioned mode, and the province-level partitioned mode.