Spatiotemporal Response of the Water Cycle to Land Use Conversions in a Typical Hilly–Gully Basin on the Loess Plateau, China
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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 -
Agricultural Structure Adjustment and Rural Poverty Alleviation in the Agro-Pastoral Transition Zone of Northern China: a Case Study of Yulin City
sustainability Article Agricultural Structure Adjustment and Rural Poverty Alleviation in the Agro-Pastoral Transition Zone of Northern China: A Case Study of Yulin City Yongsheng Wang 1,*, Yan Chen 2,* and Zhengjia Liu 1 1 Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; [email protected] 2 School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China * Correspondence: [email protected] (Y.W.); [email protected] (Y.C.) Received: 23 April 2020; Accepted: 18 May 2020; Published: 20 May 2020 Abstract: Poverty restricts rural sustainable development and urban–rural integration. Agricultural development is an engine of rural economic development and poverty elimination. Agricultural structure adjustment and rural poverty alleviation in Yulin City from the agro-pastoral transition zone of Northern China were studied using statistical data. Our results showed that the rural poverty ratio in Yulin was 7.70% in 2017, with clearly higher trends in southeast regions and lower trends in northeast regions. Northern Yulin had a lower proportion of primary industry to gross domestic production and ratio of agriculture to animal husbandry than southern Yulin. The agricultural structure variability index and agricultural specialization index have changed little, while the actual growth rate of the rural per capita net income has dramatically declined in the last decade. The rural poverty ratio was positively correlated with proportion of primary industry and ratio of agriculture to animal husbandry. These results suggest that a reduced proportion of primary industry and animal husbandry development will promote rural poverty alleviation and future rural revitalization. -
The Relationship Between the Shang and the Ethnic Groups on the Northern Frontiers As Reflected in the Northern-Style Bronzes Unearthed in Yinxu Site
Chinese Archaeology 14 (2014): 155-169 © 2014F. Zhu: by Walter The relationship de Gruyter, between Inc. · Boston the Shang · Berlin. and DOI the 10.1515/char-2014-0017 ethnic groups on the Northern Frontiers 155 The relationship between the Shang and the ethnic groups on the Northern Frontiers as reflected in the northern-style bronzes unearthed in Yinxu Site and they are usually rather complete in composition, most * Fenghan Zhu of them consisting of the four parts of preface (qianci 前 辞 ), charge (mingci 命辞 ), prognostication (zhanci 占 * Center for Research on Ancient Chinese History, Peking 辞 ) and verification (yanci 验辞 ). This kind of oracle University, Beijing 100871. bone inscriptions belongs to the Bin group (binzu 宾组 ) Email: zhufenghanbd@126. com. and thus dates to the middle of the reign of King Wu Ding (1250–1192 BCE). Abstract In a first step, I am choosing 11 oracle bone inscriptions from Yinxu whose dates are undisputed (Figure 1). They Through an analysis of oracle bone inscriptions relating all describe events taking place between guiwei ( 癸 to attacks on the northern and western borders of the 未 , i.e., the 20th) and jisi ( 己巳 , i.e., the 6th day of the Shang Kingdom by various ethnic groups living in the sexagenary cycle), a period comprising 47 days and thus Northern Frontier Zone, this paper suggests that the stretching over two months. These two months during members of northern chiefdoms such as the Qiong Fang, which the prognostications were performed comprise the Tu Fang, or Fang Fang mainly lived in the mountainous fifth and the sixth months. -
March 2020 2019 Annual Results Presentation
2019 Annual Results March 2020 Important Disclaimer and Notice to Recipients Institutional presentation materials By attending the meeting where this presentation is made, or by reading the presentation materials, you agree to be bound by the following limitations: The information in this presentation has been prepared by representatives of West China Cement Limited (the “Issuer”) for use in presentations by the Issuer at investor meetings and does not constitute a recommendation or offer regarding the securities of the Issuer. No representation or warranty, express or implied, is made as to, and no reliance should be placed on, the fairness, accuracy, completeness or correctness of the information, or opinions contained herein. None the Issuer, Credit Suisse Securities (Europe) Limited and Nomura International plc, or any of their respective advisors or representatives shall have any responsibility or liability whatsoever (for negligence or otherwise) for any loss howsoever arising from any use of this presentation or its contents or otherwise arising in connection with this presentation. The information set out herein may be subject to updating, completion, revision, verification and amendment and such information may change materially. This presentation is based on the economic, regulatory, market and other conditions as in effect on the date hereof. It should be understood that subsequent developments may affect the information contained in this presentation, which neither the Issuer nor its advisors or representatives are under an obligation to update, revise or affirm. The information communicated in this presentation contains certain statements that are or may be forward looking. These statements typically contain words such as "will", "expects" and "anticipates" and words of similar import. -
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 ...................................................................................................................................................... -
Supporting Early Carbon Capture Utilisation and Storage Development in Non-Power Industrial Sectors, Shaanxi Province, China AUTHORS Professor Hongguang JIN, Dr
Supporting early Carbon Capture Utilisation and Storage development in non-power industrial sectors, Shaanxi Province, China AUTHORS Professor Hongguang JIN, Dr. Lin GAO, Dr. Sheng LI Institute of Engineering Thermophysics, Chinese Academy of Sciences Emiel van Sambeek Azure International Richard Porter University of Leeds Tom Mikunda, Jan Wilco Dijkstra, Heleen de Coninck, Daan Jansen Energy research Centre of the Netherlands Publication date June 2012 Report no. 012 Publisher The Centre for Low Carbon Futures 2012 For citation and reprints, please contact the Centre for Low Carbon Futures. This project is funded by the British Embassy Beijing as part of the China Prosperity SPF Programme. The results of this report are based on the collaborative efforts of the Institute of Engineering Thermophysics, Chinese Academy of Sciences, Azure International, the University of Leeds, the Energy research Centre of the Netherlands and has been lead by the Centre for Low Carbon Futures (CLCF). The project is also grateful for support from the Global CCS Institute. CONTENTS Introduction .............................................................................................................................................01 CHAPTER ONE: GAPS AND BARRIERS TO CARBON CAPTURE UTILISATION AND STORAGE IN NON-POWER INDUSTRIAL SECTORS OF SHAANXI PROVINCE, CHINA 1. Background and Introduction................................................................................................................06 1.1. CCUS and its significance to the Shaanxi Province, -
World Bank Document
Procurement Plan I. General Public Disclosure Authorized 1. Bank’s approval Date of the procurement Plan [Original: December16, 2016: 1stRevision: June 28, 2017, 2nd Revision: August 18, 2017, 3rd Revision: August 14, 2018, 4th Revision August 23, 2018 for Mizhi, 5th Revision August 30 for Yanchang;6th Revision September 5, 2018 for Heyang, Longxian and Baishui] 2. Date of General Procurement Notice: Jan 24, 2017 3. Period covered by this procurement plan: 2016-2022 II. Goods and Works and non-consulting services. 1. Prior Review Threshold: Procurement Decisions subject to Prior Review by the Bank as stated in Appendix 1 to the Guidelines for Procurement: Public Disclosure Authorized Procurement Method Prior Review Threshold Comments US$ 1. ICB and LIB (Goods) Above US$ 10million All 2. NCB (Goods) Above US$ 2million All 3. ICB (Works) Above US$ 40 million All 4. NCB (Works) Above US$ 10 million All 5. (Non-Consultant Services) Above US$ 2million All [Add other methods if necessary] 2. Prequalification. Bidders for _Not applicable_ shall be prequalified in accordance with the provisions of paragraphs 2.9 and 2.10 of the Guidelines. Public Disclosure Authorized 3. Proposed Procedures for CDD Components (as per paragraph. 3.17 of the Guidelines: [Yes, in procurement manual] 4. Reference to (if any) Project Operational/Procurement Manual: Yes 5. Any Other Special Procurement Arrangements: no 6. Summary of the Procurement Packages planned during the first 18 months after project effectiveness (including those that are subject to retroactive financing and advanced procurement) [List the Packages which require Bank’s prior review first and then the other packages] Public Disclosure Authorized 1 2 3 4 5 6 7 Ref. -
World Bank Document
Procurement Plan I. General Public Disclosure Authorized 1. Bank’s approval Date of the procurement Plan [Original: December16, 2016: 1stRevision: June 28, 2017, 2nd Revision: August 18, 2017, 3rd Revision: August 14, 2018, 4th Revision August 30, 2018] 2. Date of General Procurement Notice: Jan 24, 2017 3. Period covered by this procurement plan: 2016-2022 II. Goods and Works and non-consulting services. 1. Prior Review Threshold: Procurement Decisions subject to Prior Review by the Bank as stated in Appendix 1 to the Guidelines for Procurement: Public Disclosure Authorized Procurement Method Prior Review Threshold Comments US$ 1. ICB and LIB (Goods) Above US$ 10million All 2. NCB (Goods) Above US$ 2million All 3. ICB (Works) Above US$ 40 million All 4. NCB (Works) Above US$ 10 million All 5. (Non-Consultant Services) Above US$ 2million All [Add other methods if necessary] 2. Prequalification. Bidders for _Not applicable_ shall be prequalified in accordance with the provisions of paragraphs 2.9 and 2.10 of the Guidelines. Public Disclosure Authorized 3. Proposed Procedures for CDD Components (as per paragraph. 3.17 of the Guidelines: [Yes, in procurement manual] 4. Reference to (if any) Project Operational/Procurement Manual: Yes 5. Any Other Special Procurement Arrangements: no 6. Summary of the Procurement Packages planned during the first 18 months after project effectiveness (including those that are subject to retroactive financing and advanced procurement) [List the Packages which require Bank’s prior review first and then the other packages] Public Disclosure Authorized 1 2 3 4 5 6 7 Ref. No. Description Estimated Packages Domestic Review Comments Cost Preference by Bank US$ million (yes/no) (Prior / Post) Summary of the ICB (Works) Summary of the ICB (Goods) Summary of the NCB (Works) Summary of the NCB (Goods) Summary of 1.208 18 No Post the Shopping (Works) Summary of the ICB (Non- Consultant Services) III. -
Water Extraction Method -- a Case Study in Yanhe Watershed
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-3, 2018 ISPRS TC III Mid-term Symposium “Developments, Technologies and Applications in Remote Sensing”, 7–10 May, Beijing, China A NEW MULTI-SPECTRAL THRESHOLD NORMALIZED DIFFERENCE WATER INDEX (MST-NDWI) WATER EXTRACTION METHOD -- A CASE STUDY IN YANHE WATERSHED Ying Zhou1, 2, Hongrui Zhao1, 2, , Han Hao3, Chaojun Wang1, 2 1Department of Civil Engineering, Tsinghua University, Beijing 10084, China - ([email protected], [email protected], [email protected]) 23S Center, Tsinghua University, Beijing 10084, China 3Beijing Institute of Remote Sensing, Beijing 100192, China - ([email protected]) Commission III, WG III/1 KEY WORDS: Water Extraction, MST-NDWI, Small Linear River, Remote Sensing, Yanhe Watershed ABSTRACT: Accurate remote sensing water extraction is one of the primary tasks of watershed ecological environment study. Since the Yanhe water system has typical characteristics of a small water volume and narrow river channel, which leads to the difficulty for conventional water extraction methods such as Normalized Difference Water Index (NDWI). A new Multi-Spectral Threshold segmentation of the NDWI (MST-NDWI) water extraction method is proposed to achieve the accurate water extraction in Yanhe watershed. In the MST-NDWI method, the spectral characteristics of water bodies and typical backgrounds on the Landsat/TM images have been evaluated in Yanhe watershed. The multi-spectral thresholds (TM1, TM4, TM5) based on maximum-likelihood have been utilized before NDWI water extraction to realize segmentation for a division of built-up lands and small linear rivers. With the proposed method, a water map is extracted from the Landsat/TM images in 2010 in China. -
Analysis on Response of Vegetation Index in Energy Enrichment Zone to Change of Hydrothermal Condition and Its Time Lag in the North of Shaanxi, China
Bangladesh J. Bot. 45(4): 753-759, 2016 (September), Supplementary ANALYSIS ON RESPONSE OF VEGETATION INDEX IN ENERGY ENRICHMENT ZONE TO CHANGE OF HYDROTHERMAL CONDITION AND ITS TIME LAG IN THE NORTH OF SHAANXI, CHINA * 2 QIANG LI1 , CHONG ZHANG AND ZHIYUAN REN1 Environment and Resource Management Department, Shaanxi Xueqian Normal University, Xi'an-710100, Shaanxi, China Key words: Time lag, Cross correlation method, Hydrothermal condition, Energy enrichment zone Abstract Time lag cross correlation method is adopted to conduct analysis on intra-annual time lag response of vegetation coverage to hydrothermal condition based on ten-day average air temperature, precipitation data and Systeme Probatoire d’Observation de la Terre - normalized difference vegetation index (SPOT-NDVI) data in energy enrichment zone in the north of Shaanxi from 1999 to 2010. The vegetation coverage in the south of energy enrichment zone was better, characterized by high degree of correlation between ten-day NDVI (TN), ten-day mean temperature (TT) and ten-day precipitation (TP), correlation coefficient of more than 0.9, rapid response, lag time being 10 to 20 days. The windy sand grass shoal area in the south end of Mu Us desert was characterized by low degree of correlation between TN with TT and TP, correlation coefficient from 0.75 to 0.85 and longer response time, lag time for 30 to 50 days in most part of the zone, indicated that the zone with better hydrothermal condition was higher in degree of correlation and rapid in response speed and that the zone with poor hydrothermal condition was lower in degree of correlation and slow in response speed. -
Annual Report 2017
ANNUAL REPORT 2017 * For identification purpose only CONTENTS Section I DEFINITIONS AND IMPORTANT RISK WARNINGS 3 Section II COMPANY PROFILE AND KEY FINANCIAL INDICATORS 7 Section III SUMMARY OF THE COMPANY’S BUSINESS 23 Section IV REPORT OF THE BOARD OF DIRECTORS 29 Section V SIGNIFICANT EVENTS 74 Section VI CHANGES IN ORDINARY SHARES AND PARTICULARS ABOUT SHAREHOLDERS 104 Section VII PREFERENCE SHARES 114 Section VIII PARTICULARS ABOUT DIRECTORS, SUPERVISORS, SENIOR MANAGEMENT AND EMPLOYEES 115 Section IX CORPORATE GOVERNANCE 164 Section X CORPORATE BONDS 202 Section XI FINANCIAL REPORT 212 Section XII DOCUMENTS AVAILABLE FOR INSPECTION 213 Section XIII INFORMATION DISCLOSURE OF SECURITIES COMPANY 214 HAITONG SECURITIES CO., LTD. Annual Report 2017 (H Share) 1 IMPORTANT NOTICE The Board, the Supervisory Committee, Directors, Supervisors and senior management of the Company warrant the truthfulness, accuracy and completeness of contents of this annual report (the “Report”) and that there is no false representation, misleading statement contained herein or material omission from this Report, for which they will assume joint and several liabilities. This Report was considered and approved at the 29th meeting of the sixth session of the Board. The number of Directors to attend the Board meeting should be 13 and the number of Directors who actually attended the Board meeting was 11. Ms. Yu Liping, a non-executive Director, and Mr. Feng Lun, an independent non-executive Director, were unable to attend the Board meeting in person due to business trips, and had appointed Ms. Zhang Xinmei, a non-executive Director, and Mr. Xiao Suining, an independent non-executive Director, to vote on their behalves respectively. -
Geodetection Analysis of the Driving Forces and Mechanisms of Erosion in the Hilly-Gully Region of Northern Shaanxi Province
J. Geogr. Sci. 2019, 29(5): 779-790 DOI: https://doi.org/10.1007/s11442-019-1627-9 © 2019 Science Press Springer-Verlag Geodetection analysis of the driving forces and mechanisms of erosion in the hilly-gully region of northern Shaanxi Province YUAN Xuefeng1,2,3,4, *HAN Jichang1,2, SHAO Yajing4, LI Yuheng3, WANG Yongsheng3 1. College of Land Engineering, Chang’an University, Xi’an 710075, China; 2. Key Laboratory of Degraded and Unused Land Consolidation Engineering, The Ministry of Land and Re- sources, Xi’an 710075, China; 3. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China; 4. School of Earth Science and Resources, Chang’an University, Xi’an 710054, China Abstract: This paper analyzes the spatial variation in soil erosion in the loess hilly-gully region of northern Shaanxi Province, China. It sums up existing research, describes the factors that drive soil erosion, and uses geodetection to investigate the factors individually and in pairs. Our results show that soil erosion in the loess hilly-gully region of northern Shaanxi is mainly hydraulic erosion. There are significant spatial differences in the severity of soil erosion in the region. Generally, it is more severe in the north and west and less severe in the south and east. Individual factor detection results show that the major risk factors affecting soil erosion are human population distribution, precipitation, land-use type, elevation, and soil type. In- teractive detection results show that interacting factors play much bigger roles in soil erosion than do individual factors. Based on forced detection results from different periods of time, we can see that forest and grass coverage, urbanization, and economic development in the study area all clearly inhibit soil erosion.