DOCSLIB.ORG

9Th. , 2017 Table 1. List of PDD Published on UNFCCC Table 2. List

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
9Th. , 2017 Table 1. List of PDD Published on UNFCCC Table 2. List Updated till Oct。9th. , 2017 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 revision of monitoring plan 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 15 Hebei Zhuozhou biomass combined stoves and heaters (BCSH) Project 1 Open link 16 Chongqing Chengkou County Jianjiawan Hydropower Station Project Open link 1 17 Zhoutian 10.5MW Hydropower Project Open link 18 Hebei Weichang Dishuihu Wind power project Open link 19 Chongqing Chengkou Baiguoping 10MW Hydropower Station Project Open link 20 Hebei Weichang Yangshugou Wind Power Project Open link 21 Shiyazi Hydro power Project in Guizhou Province China Open link 22 Chongqing Chengkou County Bashan Hydropower Station Project Open link 23 Guizhou Zhenxing Coal Mine Low Concentration Coal Mine Methane Utilization Project Open link 24 Yunnan Yongsheng County Small Scale Hydropower Bundled Project Open link 25 Nanjiangkou Small Hydropower Project in Yu'nan County, Guangdong Province, China Open link 26 Ningxia Taiyangshan Wind Farm Second Phase 49.5MW Project Open link 27 Sichuan Luomu 2nd Level and Muguaping Bundled Small Hydropower Project Open link 28 Sichuan Keguang 3rd Level Hydropower Project Open link 29 Sichuan Keguang 1st Level Hydropower Project Open link 30 Sichuan Keguang 2nd Level Small Hydropower Project Open link 31 Zhenxiong County Pingzi Hydropower Project Open link 32 Liaoning Kangping Aoliyingzi Wind Power Project Open link 33 Zhejiang Jiaxing Ultra-supercritical Power Generation Project Open link 34 Jinhanlazha hydropower station (58MW) of Niru River, Yunnan Province, P.R.China Open link 35 Hebei Qingyuan biomass combined stoves and heaters (BCSH) project 1 Open link 36 Handan Biomass Power generation Project Open link 37 Yunnan Luxi Liziqing Wind Power Project Open link 38 Biomass Power Generation Project by Everbright Alternative Energy (Dangshan) Limited Open link 39 Wuda Wuhushan Coal Mine Methane Power Generation Project Open link 40 Nam Hong Hydropower Project Open link 41 Song Nhiem 3 Hydropower Project Open link 42 Guodian Shanxi Youyu Caojiashan Wind Power Project Open link 43 Hebei Bode Shenlong Xiaoertai wind power project Open link 44 Eshan Wind Power Project in Haiyang city Shandong province, China Open link 45 Huaneng Kangbao 49.5MW Wind Power Phase I Project Open link 46 Chi Khe Hydropower Project Open link 47 Nhan Hac and Sao Va Hydropower Project Open link 2 48 Nam Pong Hydropower Project Open link 49 Guodian Shanxi Youyu Caojiashan Phase II Wind Power Project Open link 50 Guodian Shanxi Pinglubeishan Phase I Wind Power Project Open link 51 CFL Distribution Programme in Anhui Province Open link 52 Ningxia Guodian Yanchi Mahuangshan Wind-farm Phase I 49.5MW Project Open link 53 Zhejiang Qingyuan Guantang Bundled Small Hydropower Project Open link 54 Xinjiang Tongli Tagelake Stage I & II 17MW Hydropower Bundled Project Open link 55 Huaneng International Huade Daditaihong Wind Power Farm Phase II 49.5 MW Project Open link 56 Zhejiang Yueqing 2*660MW Ultra-supercritical Power Generation Project Open link 57 Tianjin Longyuan Dagang Phase II Wind Power Project Open link 58 Huachuan (Baoshan) Wind Power Project Open link 59 Jilin Daan Honggangzi Wind Power Project Open link 60 Zhejiang Liuheng Ultra-supercritical Power Generation Project Open link 61 Kangbao Zhaoyanghe Wind Farm Project Open link 62 Beiliu Kaidi Biomass Power Project Open link 63 Tianshui Kaidi Biomass Power Project Open link 64 Hamhung Hydropower Plant No.1 Open link 65 Kumya Hydropower Plant Open link 66 Paekdusan Songun Youth 14 MW Hydropower Project No.2 Open link 67 Fumin Mayingshan 40.5MW Wind Power Project Open link 68 Fumin Dafengyakou 33MW Wind Power Project Open link 69 Wantian Coal Mine CMM and VAM Utilization Project Open link 70 Jiada Coal Mine CMM and VAM Utilization Project Open link 71 Jilin Tongyu Xinglongshan 1A Wind Power Project Open link 72 Jilin Tongyu Xinglongshan 1C Wind Power Project Open link 73 Nam Ngum 5 Hydropower Project Open link 74 Nam Mo Hydropower Project Open link 75 Nanling Kaidi Biomass Power Project Open link 76 Anren Kaidi Biomass Power Project Open link 77 Guangxi Yulin Darongshan 25.5MW Wind Power Project Open link 78 CFL Distribution Programme in Hebei Province Open link 3 79 Nam Non Hydropower Project Open link 80 Jilin Qian An Shuizi Wind Farm Phase I Project Open link 81 Guodian Juxian Wind Power Phase I Project Open link 82 Guodian Wulian Yuli Wind Power Phase I Project Open link 83 Jizhong Energy Zhangjiakou Mining Group Co.,Ltd Xuandong Coalmine VAM Oxidation and Utilization Project Open link 84 Hebei Wu An Ruikang 48MW Biomass Power Generation Project Open link 85 Guodian Youyu Gaojiapu Phase II 49.5MW Windfarm Project Open link 86 Chongyang Kaidi Biomass Power Project Open link 87 Animal Manure Treatment Programme in Shanxi Province, Guizhou Province and Inner Mongolia Autonomous Region Open link 88 Guodian Shuozhou Haifeng Liujiayao 49.5MW Wind farm Project Open link 89 Xinjiang Dabancheng Wind Farm Phase I Project Open link 90 Huaneng Daqing Aobao Wind Farm Project Open link 91 Huaneng Daqing Heping Wind Farm Project Open link 92 Huaneng Daqing Xinli Wind Farm Project Open link 93 Huaneng Daqing Wukeshu Wind Farm Project Open link 94 Da'an Haituo Wind Farm Phase I Project Open link 95 Xiwuqi Gaolihan 49.5MW Wind Power Project Open link 96 Inner Mongolia Bayanur Wuliji 49.5MW Wind Power Project Phase II Open link 97 Raoping Haishan Wind Power Project Open link 98 Jilin Taonan Xinli 49.5MW Wind Power Project Phase II Open link 99 Fuchuan Longtou Wind Farm Phase I Project Open link 100 Longsheng Nanshan Wind Farm Phase I Project Open link 101 Yunnan Diqing State Deqin County Shibahe First level Hydropower Project Open link 102 Yunnan Diqing State Deqin County Xiangduohe First level Hydropower Project Open link 103 Tianmen Kaidi Biomass Power Project Open link 104 Songzi Kaidi Biomass Power Project Open link 105 Kaidi De'an Biomass Power Project Open link 106 Kaidi Yongxin Biomass Power Project Open link 107 Yongshun Kaidi Biomass Power Project Open link 108 Longsheng Nanshan Wind Farm Phase II Project Open link 119 Hebei Shangyi Moshishan 49.5MW Wind Farm Project Open link 4 110 Hebei Shangyi Chaoligai 49.5MW Wind Farm Project Open link 111 Yunnan Jianchuan County Xuebangshan Wind Power Project Open link 112 Jilin Gongzhuling Longshan Phase I Wind Power Project Open link 113 Pengshui Kaidi Biomass Power Project Open link 114 Hydraulic coupling torque converter Electricity excitation synchronous Wind Turbine Generator Minqin County Hongshagang Open link 49.5MW Shiyan Wind Power Project 115 Baishuijiang Qujiahekou Hydro Power Project Open link 116 Huineng Low Concentration Coal Mine Methane Utilization Project Open link 117 Lujiang Kaidi Biomass Power Project Open link 118 Zhongying Changjiang Small-scale Hydropower Programme of Activities Open link 119 Jiaohe Kaidi Biomass Power Project Open link 120 Fusong county Dougouzi, Qingchuan 2nd and Jingyu County Fusheng Bundled Hydropower Station Project Open link 121 HuaQi Livestock Farms Methane Engineering Programme of Activities Open link 122 Huainan Kaidi Biomass Power Project Open link 123 TBEA Awati 20MW Solar PV Power Generation Project Open link 124 Da'an Haituo Wind Farm Phase II Project Open link 125 Inner Mongolia Shangdu 49.5MW Wind Power Project Open link 126 Yunnan Lufeng Xianrendong Wind Farm project Open link 127 Yunnan Luliang County Matang Wind Power Project Open link 128 Jiangxi Daling Kuojian Wind Farm Project Open link 129 Beipiao Xiaotazi Wind Farm Project Open link 130 CFLs Distribution Programme in Guizhou Province Open link 131 CFLs Distribution Programme in Jiangxi Province Open link 132 Datang Chuzhou Lan’an Longshan Wind Farm Project Open link 133 CFLs Distribution Programme in the Guangxi Zhuang Autonomous Region Open link 134 CFL Distribution Programme in Liaoning Province Open link 135 CFL Distribution Programme in Hunan Province Open link 136 CFL Distribution Programme in Heilongjiang Province Open link 137 CFLs Distribution Programme in Henan Province Open link 138 CFLs Distribution Programme in Shanxi Province Open link 5 139 CFL Distribution Programme in Inner Mongolia Autonomous Region Open link 140 CFL Distribution Programme in Shaanxi Province Open link 141 Datang Renewable
Load more

Recommended publications
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • 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
    [Show full text]
  • 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
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • 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
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • 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 ......................................................................................................................................................
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]