Wind Energy Rejection in China Current Status, Reasons And
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The Cartographic Steppe: Mapping Environment and Ethnicity in Japan's Imperial Borderlands
The Cartographic Steppe: Mapping Environment and Ethnicity in Japan's Imperial Borderlands The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Christmas, Sakura. 2016. The Cartographic Steppe: Mapping Environment and Ethnicity in Japan's Imperial Borderlands. Doctoral dissertation, Harvard University, Graduate School of Arts & Sciences. Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:33840708 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA The Cartographic Steppe: Mapping Environment and Ethnicity in Japan’s Imperial Borderlands A dissertation presented by Sakura Marcelle Christmas to The Department of History in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the subject of History Harvard University Cambridge, Massachusetts August 2016 © 2016 Sakura Marcelle Christmas All rights reserved. Dissertation Advisor: Ian Jared Miller Sakura Marcelle Christmas The Cartographic Steppe: Mapping Environment and Ethnicity in Japan’s Imperial Borderlands ABSTRACT This dissertation traces one of the origins of the autonomous region system in the People’s Republic of China to the Japanese imperial project by focusing on Inner Mongolia in the 1930s. Here, Japanese technocrats demarcated the borderlands through categories of ethnicity and livelihood. At the center of this endeavor was the perceived problem of nomadic decline: the loss of the region’s deep history of transhumance to Chinese agricultural expansion and capitalist extraction. -
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). -
Detecting Different Types of Directional Land Cover Changes Using MODIS NDVI Time Series Dataset
remote sensing Article Detecting Different Types of Directional Land Cover Changes Using MODIS NDVI Time Series Dataset Lili Xu 1,2, Baolin Li 1,3,*, Yecheng Yuan 1, Xizhang Gao 1, Tao Zhang 1,2 and Qingling Sun 1,2 1 State Key Lab of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; [email protected] (L.X.); [email protected] (Y.Y.); [email protected] (X.G.); [email protected] (T.Z.); [email protected] (Q.S.) 2 University of Chinese Academy of Sciences, Beijing 100049, China 3 Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China * Correspondence: [email protected]; Tel.: +86-010-6488-9072 Academic Editors: James Campbell and Prasad S. Thenkabail Received: 26 January 2016; Accepted: 23 May 2016; Published: 14 June 2016 Abstract: This study proposed a multi-target hierarchical detection (MTHD) method to simultaneously and automatically detect multiple directional land cover changes. MTHD used a hierarchical strategy to detect both abrupt and trend land cover changes successively. First, Grubbs’ test eliminated short-lived changes by considering them outliers. Then, the Brown-Forsythe test and the combination of Tomé’s method and the Chow test were applied to determine abrupt changes. Finally, Sen’s slope estimation coordinated with the Mann-Kendall test detection method was used to detect trend changes. Results demonstrated that both abrupt and trend land cover changes could be detected accurately and automatically. The overall accuracy of abrupt land cover changes was 87.0% and the kappa index was 0.74. -
Human Brucellosis Occurrences in Inner Mongolia, China: a Spatio-Temporal Distribution and Ecological Niche Modeling Approach Peng Jia1* and Andrew Joyner2
Jia and Joyner BMC Infectious Diseases (2015) 15:36 DOI 10.1186/s12879-015-0763-9 RESEARCH ARTICLE Open Access Human brucellosis occurrences in inner mongolia, China: a spatio-temporal distribution and ecological niche modeling approach Peng Jia1* and Andrew Joyner2 Abstract Background: Brucellosis is a common zoonotic disease and remains a major burden in both human and domesticated animal populations worldwide. Few geographic studies of human Brucellosis have been conducted, especially in China. Inner Mongolia of China is considered an appropriate area for the study of human Brucellosis due to its provision of a suitable environment for animals most responsible for human Brucellosis outbreaks. Methods: The aggregated numbers of human Brucellosis cases from 1951 to 2005 at the municipality level, and the yearly numbers and incidence rates of human Brucellosis cases from 2006 to 2010 at the county level were collected. Geographic Information Systems (GIS), remote sensing (RS) and ecological niche modeling (ENM) were integrated to study the distribution of human Brucellosis cases over 1951–2010. Results: Results indicate that areas of central and eastern Inner Mongolia provide a long-term suitable environment where human Brucellosis outbreaks have occurred and can be expected to persist. Other areas of northeast China and central Mongolia also contain similar environments. Conclusions: This study is the first to combine advanced spatial statistical analysis with environmental modeling techniques when examining human Brucellosis outbreaks and will help to inform decision-making in the field of public health. Keywords: Brucellosis, Geographic information systems, Remote sensing technology, Ecological niche modeling, Spatial analysis, Inner Mongolia, China, Mongolia Background through the consumption of unpasteurized dairy products Brucellosis, a common zoonotic disease also referred to [4]. -
New Horizons Towards Three Rock-Cut Tombs (13Th – 14Th CE) from Northwest Iran Amin Moradi, Behruz Omrani ………………………………………………………...……
Archive of SID THE INTERNATIONAL JOURNAL OF HUMANITIES Volume 27, Issue 2 (2020), Pages 1-89 Director-in-Charge: Seyed Mehdi Mousavi, Associate Professor of Archaeology Editor-in-Chief: Masoud Ghaffari, Associate Professor of Political Science Guest-editor: Seyed Alireza Hosseini Beheshti, Assistant Professor of Political Science Managing Editors: Shahin Aryamanesh, PhD of Archaeology, Tissaphernes Archaeological Research Group English Edit by: Ahmad Shakil, PhD Published by Tarbiat Modares University Editorial board: Ehsani, Mohammad; Professor of Sport Management, Tarbiat Modares University, Tehran, Iran Ghaffari, Masoud; Associate Professor of Political Science, Tarbiat Modares University, Tehran, Iran Hafezniya, Mohammadreza; Professor in Political Geography and Geopolitics, Tarbiat Modares University, Tehran, Iran Khodadad Hosseini, Seyed Hamid; Professor in Business, Tarbiat Modares University, Tehran, Iran Kiyani, Gholamreza; Associate Professor of Language & Linguistics, Tarbiat Modares University, Tehran, Iran Manouchehri, Abbas; Professor of Political science, Tarbiat Modares University, Tehran, Iran Ahmadi, Hamid; Professor of Political science, Tehran University, Tehran, Iran Karimi Doostan, Gholam Hosein; Professor of Linguistics, Tehran University, Tehran, Iran Mousavi Haji, Seyed Rasoul; Professor of Archaeology, Mazandaran University, Mazandaran, Iran Yousefifar, Shahram; Professor of History, Tehran University, Tehran, Iran Karimi Motahar, Janallah; Professor of Russian Language, Tehran University, Tehran, Iran Mohammadifar, Yaghoub; Professor of Archaeology, Bu-Ali Sina University, Hamedan, Iran The International Journal of Humanities is one of the TMU Press journals that is published by the responsibility of its Editor-in-Chief and Editorial Board in the determined scopes. The International Journal of Humanities is mainly devoted to the publication of original research, which brings fresh light to bear on the concepts, processes, and consequences of humanities in general. -
Ecological and Economic Protection Forest Project of Comprehensive Management of Horqin Sandy Land in Tong Liao City
Ecological and economic protection forest project of comprehensive management of Horqin Sandy Land in Tong Liao City Stakeholder Engagement Plan Tongliao Forestry and Grassland Bureau Shanghai Yiji Construction Consultants Co., Ltd. August, 2019 1 Content 1 INTRODUCTION .............................................................................................................. 1 1.1 objective and scope ..................................................................................................... 1 1.2 Objectives of the Stakeholder Engagement Plan (SEP) .............................................. 2 2REGULATORY AND GOVERNANCE FRAMEWORK ................................................... 4 2.1 Introduction ................................................................................................................. 4 3 AN OVERVIEW OF STAKEHOLDER ENGAGEMENT ................................................ 5 3.1 Stakeholder Engagement ....................................................................................... 5 3.2 Principles for Effective Stakeholder Engagement ................................................. 5 3.3 Stakeholder Engagement Considerations .............................................................. 6 4 STAKEHOLDER ANALYSIS AND IDENTIFICATION .............................................. 8 4.1 Stakeholder analysis .............................................................................................. 8 4.2 Defining Stakeholders ........................................................................................ -
Minimum Wage Standards in China August 11, 2020
Minimum Wage Standards in China August 11, 2020 Contents Heilongjiang ................................................................................................................................................. 3 Jilin ............................................................................................................................................................... 3 Liaoning ........................................................................................................................................................ 4 Inner Mongolia Autonomous Region ........................................................................................................... 7 Beijing......................................................................................................................................................... 10 Hebei ........................................................................................................................................................... 11 Henan .......................................................................................................................................................... 13 Shandong .................................................................................................................................................... 14 Shanxi ......................................................................................................................................................... 16 Shaanxi ...................................................................................................................................................... -
China Wind Power Outlook 2010 ——
—— CHINA WIND POWER OUTLOOK 2010 —— Lead Authors Li Junfeng Shi Pengfei Gao Hu Other Authors Xie Hongwen Yang Zhenbin Tang Wenqian Ma Lingjuan Coordinators Li Ang Li Yan Yang Ailun Qiao Liming Tang Wenqian Photo © Greenpeace/ Simon Lim/ Pao Lihui/ John Novis/ Paul Langrock / Zenit Sinovel, Shanwei Honghaiwan Wind Farm Chinese Renewable Energy Industries Association Global Wind Energy Council Greenpeace October 2010 Foreword The Chinese Renewable Energy Industries Association (CREIA) published Wind Force 12 – China, China Wind Power Report 2007 and China Wind Power Report 2008 with the support of Greenpeace, the Global Wind Energy Council (GWEC) etc. in 2005, 2007 and 2008 respectively. These reports were well received by readers both at home and abroad, and we have similar expectations for the publication of China Wind Power Outlook 2010. As a new wind power report was expected by people in the industry, CREIA organised experts from both China and overseas to edit and publish China Wind Power Outlook 2010 with the support of Greenpeace and GWEC. Our aim is to satisfy readers’ desire to understand the latest situation on wind power development in China. China Wind Power Outlook 2010 includes the main features of previous reports and some elements from GWEC’s analysis of global wind energy, and tries to reflect the situation, characteristics and prospects for both global and Chinese wind power. The report covers strategic energy demand and resources, market capacity and equipment, market environment and policy, environmental issues and climate change, a historical perspective and prospects for the future. To provide a comprehensive overview for readers, we have tried to analyze and interpret all the main issues for wind power development in China in terms of both the global context and the country’s broader energy development strategy. -
Inner Mongolia
Access China Inner Mongolia August 2012 Room 801-802 Tower B Gemdale Plaza No. 91 Jianguo Road Chaoyang District Beijing 100022 China Economist Intelligence Unit The Economist Intelligence Unit is a specialist publisher serving companies establishing and managing operations across national borders. For 60 years it has been a source of information on business developments, economic and political trends, government regulations and corporate practice worldwide. The Economist Intelligence Unit delivers its information in four ways: through its digital portfolio, where the latest analysis is updated daily; through printed subscription products ranging from newsletters to annual reference works; through research reports; and by organising seminars and presentations. The firm is a member of The Economist Group. London New York Economist Intelligence Unit Economist Intelligence Unit 26 Red Lion Square The Economist Group London 750 Third Avenue WC1R 4HQ 5th Floor United Kingdom New York, NY 10017, US Tel: (44.20) 7576 8000 Tel: (1.212) 554 0600 Fax: (44.20) 7576 8500 Fax: (1.212) 586 0248 E-mail: [email protected] E-mail: [email protected] Hong Kong Geneva Economist Intelligence Unit Economist Intelligence Unit 60/F, Central Plaza Boulevard des Tranchées 16 18 Harbour Road 1206 Geneva Wanchai Switzerland Hong Kong Tel: (852) 2585 3888 Tel: (41) 22 566 2470 Fax: (852) 2802 7638 Fax: (41) 22 346 93 47 E-mail: [email protected] E-mail: [email protected] This report can be accessed electronically as soon as it is published by visiting store.eiu.com or by contacting a local sales representative. The whole report may be viewed in PDF format, or can be navigated section-by-section by using the HTML links. -
The Influence of Land Use on the Grassland Fire Occurrence in The
sensors Article The Influence of Land Use on the Grassland Fire Occurrence in the Northeastern Inner Mongolia Autonomous Region, China Yiping Li 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] (Y.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 Editor: Jason Levy Received: 1 January 2017; Accepted: 18 February 2017; Published: 23 February 2017 Abstract: Grassland, as one of the most important ecosystems on Earth, experiences fires that affect the local ecology, economy and society. Notably, grassland fires occur frequently each year in northeastern China. Fire occurrence is a complex problem with multiple causes, such as natural factors, human activities and land use. This paper investigates the disruptive effects of grassland fire in the northeastern Inner Mongolia Autonomous Region of China. In this study, we relied on thermal anomaly detection from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor to identify fire occurrences, and land use data were acquired by Landsat Thematic Mapper/Enhanced Thematic Mapper (TM/ETM). We discussed the relationship between land use and the spatial distribution of grassland fires. The results showed that the impact of land use on grassland fires was significant. Spatially, approximately 80% of grassland fires were clustered within 10 km of cultivated land, and grassland fires generally occurred in areas of intense human activity. -
Population Changes Behind Grassland Degradation in Horqin Region of Inner Mongolia, China
Population changes behind grassland degradation in Horqin region of Inner Mongolia, China Yintai Na1,2), Buho Hoshino1)*, Shin'ya Kawamura1), Tsedevdorj Serod 3) 1) Rakuno Gakuen University, 582, Bunkyodai-Midorimachi, Ebetsu, Hokkaido 069-8501, Japan 2) College of Resources and Environment Economy, Inner Mongolia University of Finance and Economics, No.185, North two ring road, Hohhot 010070, Inner Mongolia, China 3) Department of Geography, Mongolian National University of Education,14, Baga toiruu, Ulaanbaatar, 210648, Mongolia *Corresponding Author: Buho Hoshino (Tel/Fax: +81-011-388-4913, E-mail: [email protected].) Abstract High immigration and fertility rates in Inner Mongolia, China, have led to a large-scale transformation of grassland into farmland. Also, overgrazing resulted in the reduction in grazing land, and hence grassland degradation. Such disappearance of grasslands has been most apparently seen in Horqin region of Inner Mongolia. This paper used technologies of remote sensing and geographic information systems to reveal the impacts of population changes on grassland degradation in Horqin, and underlying history and policy-related explanation, to make a quantitative study on the relationship between both. Results showed that the fast growth rate was observed prior to 1981, primarily due to the policies encouraging immigration and population growth. When these policies were terminated in 1981, the growth rate began to slow down. The linear trend coefficients of the population density indicated uneven population growth over time in each banner/county regarding the time series, with R2 from 96.8% of the linear trend equations significantly different (p<0.05). Spatial features of population density varied across banners, as the immigrant population was affected by factors such as distance from farming areas, agricultural conditions and changes, urbanization, and mineral resource development.