9Th. , 2017 Table 1. List of PDD Published on UNFCCC Table 2. List
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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. -
Continuing Crackdown in Inner Mongolia
CONTINUING CRACKDOWN IN INNER MONGOLIA Human Rights Watch/Asia (formerly Asia Watch) CONTINUING CRACKDOWN IN INNER MONGOLIA Human Rights Watch/Asia (formerly Asia Watch) Human Rights Watch New York $$$ Washington $$$ Los Angeles $$$ London Copyright 8 March 1992 by Human Rights Watch All rights reserved. Printed in the United States of America. ISBN 1-56432-059-6 Human Rights Watch/Asia (formerly Asia Watch) Human Rights Watch/Asia was established in 1985 to monitor and promote the observance of internationally recognized human rights in Asia. Sidney Jones is the executive director; Mike Jendrzejczyk is the Washington director; Robin Munro is the Hong Kong director; Therese Caouette, Patricia Gossman and Jeannine Guthrie are research associates; Cathy Yai-Wen Lee and Grace Oboma-Layat are associates; Mickey Spiegel is a research consultant. Jack Greenberg is the chair of the advisory committee and Orville Schell is vice chair. HUMAN RIGHTS WATCH Human Rights Watch conducts regular, systematic investigations of human rights abuses in some seventy countries around the world. It addresses the human rights practices of governments of all political stripes, of all geopolitical alignments, and of all ethnic and religious persuasions. In internal wars it documents violations by both governments and rebel groups. Human Rights Watch defends freedom of thought and expression, due process and equal protection of the law; it documents and denounces murders, disappearances, torture, arbitrary imprisonment, exile, censorship and other abuses of internationally recognized human rights. Human Rights Watch began in 1978 with the founding of its Helsinki division. Today, it includes five divisions covering Africa, the Americas, Asia, the Middle East, as well as the signatories of the Helsinki accords. -
Supplementary Materials
Supplementary material BMJ Open Supplementary materials for A cross-sectional study on the epidemiological features of human brucellosis in Tongliao city, Inner Mongolia province, China, over a 11-year period (2007-2017) Di Li1, Lifei Li2, Jingbo Zhai3, Lingzhan Wang4, Bin Zhang5 1Department of Anatomy, The Medical College of Inner Mongolia University for the Nationalities, Tongliao City, Inner Mongolia Autonomous region, China 2Department of Respiratory Medicine, Affiliated Hospital of Inner Mongolia University for The Nationalities, Tongliao City, Inner Mongolia Autonomous region, China 3Brucellosis Prevenyion and Treatment Engineering Technology Research Center of Mongolia Autonomous region, Tongliao City, Inner Mongolia Autonomous region, China 4Institute of Applied Anatomy, The Medical College of Inner Mongolia University for the Nationalities, Tongliao City, Inner Mongolia Autonomous region, China 5Department of Thoracic Surgery, Affiliated Hospital of Inner Mongolia University for The Nationalities, Tongliao City, Inner Mongolia Autonomous region, China Correspondence to: Dr Bin Zhang; [email protected] Li D, et al. BMJ Open 2020; 10:e031206. doi: 10.1136/bmjopen-2019-031206 Supplementary material BMJ Open Table S1 The annual age distribution of human brucellosis in Tongliao during 2007-2017. Age stage 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Total 0- 1 4 1 1 4 5 3 2 3 3 5 32 4- 4 10 11 4 14 11 9 5 4 5 6 83 10- 7 5 14 7 17 7 6 10 1 2 8 84 15- 5 21 33 29 46 39 19 25 8 5 21 251 20- 13 44 63 52 102 86 59 68 32 23 33 575 -
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 -
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. -
World Bank Document
Hunan Integrated Management of Agricultural Land Pollution (P153115) Procurement Plan I. General Public Disclosure Authorized 1. Bank’s approval Date of the procurement Plan [original: June 27, 2017; 1st Revision: August 17, 2017; 2nd Revision: June 8, 2018; 3rd Revision: Aug. 10, 2018; 4th Revision: April 4, 2019; 5th Revision: December 20, 2019; 6th Revision: March 4, 2020; 7th Revision: March 30, 2020; 8th Revision: April 9, 2020; 9th Revision: May 21, 2020; 10th Update: June 5, 2020; 11th Update: June 28, 2020; 12th Update: July 13, 2020; 13th Update: August 28, 2020; 14th Update: January 10, 2021] 2. Date of General Procurement Notice: August 16, 2017 3. Period covered by this procurement plan: January 2021 to December 2021 Public Disclosure Authorized II. Goods, Works, non-consulting services and Community participation in procurement under Component 1. 1. Prior Review Threshold: Procurement Decisions subject to Prior Review by the Bank as stated in Appendix 1 to the Guidelines for Procurement: Prior Review Procurement Method Procurement Method Threshold Threshold US$ US$ ICB and LIB (Goods and Greater than or equal to 1. All Non-Consulting Services ) US$ 10 million Greater than or NCB (Goods and Non- Greater than or equal to Public Disclosure Authorized 2. equal to Consulting Services ) US$ 0.5 million 2 million Greater than or equal to 3. ICB (Works) All US$ 40 million Greater than or Greater than or equal to 4. NCB (Works) equal to US$ 0.5 million 10 million to be specified in Community participation in 5 No Threshold procurement the operation manual 2. Prequalification. -
Table 6 List of Projects Approved Post-Registration Change Table 7 List of Registered Poa Projects Table 8 List of On-Going RCP Projects
Updated till Ju.29th. , 2020 Table 1. List of PDD published on UNFCCC Table 2. List of monitoring Reports made available on UNFCCC Table 3. List of projects registered Table 4. List of projects Issued with CERs Table 5 List of projects approved renewal of crediting period Table 6 List of projects approved post-registration change Table 7 List of registered PoA projects Table 8 List of on-going RCP Projects Table 1. PDD published on UNFCCC 已在 UNFCCC 公示的项目信息 – 审定阶段 No. Project Title Open link 1 Liaoning Changtu Shihu Wind Power Project Open link 2 Shuangpai County Yongjiang Cascade Hydropower Project, Hunan, P.R.China Open link 3 Nanlao Small Hydropower Project in Leishan County, Guizhou Province, China. Open link 4 Jiaoziding Small Hydropower Project in Gulin County, Sichuan Province, China Open link 5 Hebei Weichang Zhuzixia Wind power project Open link 6 Yunnan Luquan Hayi River 4th and 5th Level Hydropower Stations Open link 7 Pingju 4MW Hydropower Project in Guizhou Province Open link 8 Shankou Hydropower Project on Ningjiahe River in Xinjiang Uygur Autonomous Region, China Open link 9 Yunnan Gengma Tiechang River 12.6MW Hydropower Project Open link 10 Dayan River Stage I and Dayan River Stage II 17.6MW Bundled Hydropower Project Open link 11 Fujian Pingnan Lidaping 20MW Hydropower Expansion Project Open link 12 Qingyuan County Longjing Hydroelectric Power Plant Project Open link 13 Changchun Shuangyang District Heating Project Open link 14 Chongqing Youyang County Youchou Hydropower Station Project Open link 1 15 Hebei Zhuozhou biomass -
Congressional-Executive Commission on China Annual
CONGRESSIONAL-EXECUTIVE COMMISSION ON CHINA ANNUAL REPORT 2019 ONE HUNDRED SIXTEENTH CONGRESS FIRST SESSION NOVEMBER 18, 2019 Printed for the use of the Congressional-Executive Commission on China ( Available via the World Wide Web: https://www.cecc.gov VerDate Nov 24 2008 13:38 Nov 18, 2019 Jkt 036743 PO 00000 Frm 00001 Fmt 6011 Sfmt 5011 G:\ANNUAL REPORT\ANNUAL REPORT 2019\2019 AR GPO FILES\FRONTMATTER.TXT 2019 ANNUAL REPORT VerDate Nov 24 2008 13:38 Nov 18, 2019 Jkt 036743 PO 00000 Frm 00002 Fmt 6019 Sfmt 6019 G:\ANNUAL REPORT\ANNUAL REPORT 2019\2019 AR GPO FILES\FRONTMATTER.TXT CONGRESSIONAL-EXECUTIVE COMMISSION ON CHINA ANNUAL REPORT 2019 ONE HUNDRED SIXTEENTH CONGRESS FIRST SESSION NOVEMBER 18, 2019 Printed for the use of the Congressional-Executive Commission on China ( Available via the World Wide Web: https://www.cecc.gov U.S. GOVERNMENT PUBLISHING OFFICE 36–743 PDF WASHINGTON : 2019 VerDate Nov 24 2008 13:38 Nov 18, 2019 Jkt 036743 PO 00000 Frm 00003 Fmt 5011 Sfmt 5011 G:\ANNUAL REPORT\ANNUAL REPORT 2019\2019 AR GPO FILES\FRONTMATTER.TXT CONGRESSIONAL-EXECUTIVE COMMISSION ON CHINA LEGISLATIVE BRANCH COMMISSIONERS House Senate JAMES P. MCGOVERN, Massachusetts, MARCO RUBIO, Florida, Co-chair Chair JAMES LANKFORD, Oklahoma MARCY KAPTUR, Ohio TOM COTTON, Arkansas THOMAS SUOZZI, New York STEVE DAINES, Montana TOM MALINOWSKI, New Jersey TODD YOUNG, Indiana BEN MCADAMS, Utah DIANNE FEINSTEIN, California CHRISTOPHER SMITH, New Jersey JEFF MERKLEY, Oregon BRIAN MAST, Florida GARY PETERS, Michigan VICKY HARTZLER, Missouri ANGUS KING, Maine EXECUTIVE BRANCH COMMISSIONERS Department of State, To Be Appointed Department of Labor, To Be Appointed Department of Commerce, To Be Appointed At-Large, To Be Appointed At-Large, To Be Appointed JONATHAN STIVERS, Staff Director PETER MATTIS, Deputy Staff Director (II) VerDate Nov 24 2008 13:38 Nov 18, 2019 Jkt 036743 PO 00000 Frm 00004 Fmt 0486 Sfmt 0486 G:\ANNUAL REPORT\ANNUAL REPORT 2019\2019 AR GPO FILES\FRONTMATTER.TXT C O N T E N T S Page I. -
Laiyuan Zhong , Liming Liu *, Yabing
Available online at www.sciencedirect.com Agriculture and Agricultural Science Procedia 1 (2010) 24–32 International Conference on Agricultural Risk and Food Security 2010 Natural Disaster Risk Assessment of Grain Production in Dongting Lake Area, China Laiyuan Zhonga,b, Liming Liua*, Yabing Liua aDepartment of Land Resources Management, College of Resources and Environment, China Agricultural University, bCollege of Agronomy, Guangdong Ocean University. Zhanjiang, 524088, China Abstract Dongting Lake area is one of the primary commodity grain bases in China, while the grain production there is suffering from serious harm of natural disaster such as flood, drought, pests and mouse damage. In general, the historical data recorded of natural disasters in small region are not enough to be used for estimating the probability distribution in risk assessment, because the size of the sample observed is smal1. In this study, the method “Information Diffusion” is used to change limited sample observations into fuzzy sets, and a quantitative analyzing model for natural disasters risk assessment is proposed. Based on the statistical data of grain planting area and hazard area during the period of 1986-2006 in Dongting Lake area, the probability of natural disaster risk of grain production was calculated by using the Information Diffusion Theory in each county. The results showed that the probabilities of natural disaster risk of the area hazard ratio (AHR) of grain production over 10% , 20%, 30%, 40% were between 0.3576̚0.9344, 0.0880̚0.8618, 0.0080̚0.7757, 0̚0.6569 respectively in different county. Meanwhile, the natural disaster risk assessment maps of grain production were obtained based on GIS. -
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 ...................................................................................................................................................... -
Understanding Land Use and Land Cover Change in Inner Mongolia Using Remote Sensing Time Series
Humboldt-Universität zu Berlin – Geographisches Institut Understanding land use and land cover change in Inner Mongolia using remote sensing time series DISSERTATION Zur Erlangung des akademischen Grades doctor rerum naturalium (Dr. rer. nat.) Im Fach Geographie eingereicht an der Mathematisch-Naturwissenschaftlichen Fakultät II der Humboldt-Universität zu Berlin von M.Sc. He Yin Präsident der Humboldt-Universität zu Berlin Prof. Dr. Jan-Hendrik Olbertz Dekan der Mathematisch-Naturwissenschaftlichen Fakultät II Prof. Dr. Elmar Kulke Gutachter: Prof. Dr. Patrick Hostert Prof. Dr. Thomas Udelhoven Prof. Dr. Tobias Kümmerle Eingereicht: 06. Juni 2014 Tag der Verteidigung: 05. September 2014 ii iv Abstract Monitoring land use and land cover change (LULCC) support better interpretation about how land surfaces are impacted by human decisions. The overall aim of this thesis is to gain a better understanding about LULCC in Inner Mongolia using remote sensing under consideration of China’s land use policies. With the largest scale land restoration programs in the world, China aims to reduce human pressure on lands and promote sustainable land use. As a hot-spot of environmental change, Inner Mongolia received the heaviest investment from the central government for land restoration. Yet the effectiveness and consequences of China’s land use policies in Inner Mongolia remain unclear. Remote sensing is an effective tool for monitoring land use and land cover change across broad scales, yet data limitations and a lack of available change detection methods hampers the capacity of researchers to apply remote sensing techniques for LULCC monitoring. To reliably map LULCC in Inner Mongolia, the opportunities and limitations of using coarse resolution imagery time series for monitoring long-term land changes was first examined. -
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.