2017) 283–296
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Supplement of Geosci
Supplement of Geosci. Model Dev., 7, 2243–2259, 2014 http://www.geosci-model-dev.net/7/2243/2014/ doi:10.5194/gmd-7-2243-2014-supplement © Author(s) 2014. CC Attribution 3.0 License. Supplement of Air quality forecast of PM10 in Beijing with Community Multi-scale Air Quality Modeling (CMAQ) system: emission and improvement Q. Wu et al. Correspondence to: Q. Wu ([email protected]) and X. Zhao ([email protected]) Figure 1: The location of Baoding, Tangshan and Xianghe stations are shown as \green tringle". They are all in the Beijing's surrounding areas, where more point sources have been added in this paper. 1 The model performance on the Beijing's sur- rounding stations In the section, the PM10 hourly concentration in Baoding, Tangshan and Xi- anghe stations are collected to illustrate the model performance in Beijing's surrounding areas. The observation is from the Beijing-Tianjin-Hebei Atmo- spheric Environment Monitoring Network operated by the Institute of Atmo- spheric Physics, Chinese Academy of Sciences[1]. The location of the three stations are shown in Figure 1, Baoding and Tangshan stations are located at the urban of Baoding and Tangshan Municipality, and Xianghe station is located at one county of Langfang Municipality. As described in the left figure of Fig.2 in the manuscript, the fouth do- main(D4) in the forecast system just covers Beijing Municipality, that Baoding, Tangshan and Langfang station, is either outside or nearby the domain bound- ary. Therefore, the \New" expanded model domain is used to check if the \added" point and \updated" area sources emissions would improve the model performance on the surrounding areas. -
Appendix 1: Rank of China's 338 Prefecture-Level Cities
Appendix 1: Rank of China’s 338 Prefecture-Level Cities © The Author(s) 2018 149 Y. Zheng, K. Deng, State Failure and Distorted Urbanisation in Post-Mao’s China, 1993–2012, Palgrave Studies in Economic History, https://doi.org/10.1007/978-3-319-92168-6 150 First-tier cities (4) Beijing Shanghai Guangzhou Shenzhen First-tier cities-to-be (15) Chengdu Hangzhou Wuhan Nanjing Chongqing Tianjin Suzhou苏州 Appendix Rank 1: of China’s 338 Prefecture-Level Cities Xi’an Changsha Shenyang Qingdao Zhengzhou Dalian Dongguan Ningbo Second-tier cities (30) Xiamen Fuzhou福州 Wuxi Hefei Kunming Harbin Jinan Foshan Changchun Wenzhou Shijiazhuang Nanning Changzhou Quanzhou Nanchang Guiyang Taiyuan Jinhua Zhuhai Huizhou Xuzhou Yantai Jiaxing Nantong Urumqi Shaoxing Zhongshan Taizhou Lanzhou Haikou Third-tier cities (70) Weifang Baoding Zhenjiang Yangzhou Guilin Tangshan Sanya Huhehot Langfang Luoyang Weihai Yangcheng Linyi Jiangmen Taizhou Zhangzhou Handan Jining Wuhu Zibo Yinchuan Liuzhou Mianyang Zhanjiang Anshan Huzhou Shantou Nanping Ganzhou Daqing Yichang Baotou Xianyang Qinhuangdao Lianyungang Zhuzhou Putian Jilin Huai’an Zhaoqing Ningde Hengyang Dandong Lijiang Jieyang Sanming Zhoushan Xiaogan Qiqihar Jiujiang Longyan Cangzhou Fushun Xiangyang Shangrao Yingkou Bengbu Lishui Yueyang Qingyuan Jingzhou Taian Quzhou Panjin Dongying Nanyang Ma’anshan Nanchong Xining Yanbian prefecture Fourth-tier cities (90) Leshan Xiangtan Zunyi Suqian Xinxiang Xinyang Chuzhou Jinzhou Chaozhou Huanggang Kaifeng Deyang Dezhou Meizhou Ordos Xingtai Maoming Jingdezhen Shaoguan -
Investigation of Passengers' Intentions to Use High-Speed Rail and Low
Dissertations and Theses 7-2017 Investigation of Passengers’ Intentions to Use High-Speed Rail and Low-Cost Carriers in China Jing Yu Pan Follow this and additional works at: https://commons.erau.edu/edt Part of the Management and Operations Commons Scholarly Commons Citation Pan, Jing Yu, "Investigation of Passengers’ Intentions to Use High-Speed Rail and Low-Cost Carriers in China" (2017). Dissertations and Theses. 348. https://commons.erau.edu/edt/348 This Dissertation - Open Access is brought to you for free and open access by Scholarly Commons. It has been accepted for inclusion in Dissertations and Theses by an authorized administrator of Scholarly Commons. For more information, please contact [email protected]. INVESTIGATION OF PASSENGERS’ INTENTIONS TO USE HIGH-SPEED RAIL AND LOW-COST CARRIERS IN CHINA by Jing Yu Pan A Dissertation Submitted to the College of Aviation in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy in Aviation Embry-Riddle Aeronautical University Daytona Beach, Florida July 2017 © 2017 Jing Yu Pan All Rights Reserved. ii 07/25/2017 ABSTRACT Researcher: Jing Yu Pan Title: INVESTIGATION OF PASSENGERS’ INTENTIONS TO USE HIGH- SPEED RAIL AND LOW-COST CARRIERS IN CHINA Institution: Embry-Riddle Aeronautical University Degree: Doctor of Philosophy in Aviation Year: 2017 With a large population, China is an ideal market for high-speed rail (HSR) and low-cost carrier (LCC) services. While HSR has gained substantial market share in China over the past decade, LCCs have achieved only limited market penetration. The potential growth of LCCs in China, however, is promising given the growing travel demand and government policy support. -
ANNUAL Report CONTENTS QINHUANGDAO PORT CO., LTD
(a joint stock limited liability company incorporated in the People’s Republic of China) Stock Code : 3369 ANNUAL REPORT CONTENTS QINHUANGDAO PORT CO., LTD. ANNUAL REPORT 2018 Definitions and Glossary of Technical Terms 2 Consolidated Balance Sheet 75 Corporate Information 5 Consolidated Income Statement 77 Chairman’s Statement 7 Consolidated Statement of Changes in Equity 79 Financial Highlights 10 Consolidated Statement of Cash Flows 81 Shareholding Structure of the Group 11 Company Balance Sheet 83 Management Discussion and Analysis 12 Company Income Statement 85 Corporate Governance Report 25 Company Statement of Changes in Equity 86 Biographical Details of Directors, 41 Company Statement of Cash Flows 87 Supervisors and Senior Management Notes to Financial Statements 89 Report of the Board of Directors 48 Additional Materials Report of Supervisory Committee 66 1. Schedule of Extraordinary Profit and Loss 236 Auditors’ Report 70 2. Return on Net Assets and Earning per Share 236 Audited Financial Statements DEFINITIONS AND GLOSSARY OF TECHNICAL TERMS “A Share(s)” the RMB ordinary share(s) issued by the Company in China, which are subscribed for in RMB and listed on the SSE, with a nominal value of RMB1.00 each “AGM” or “Annual General Meeting” the annual general meeting or its adjourned meetings of the Company to be held at 10:00 am on Thursday, 20 June 2019 at Qinhuangdao Sea View Hotel, 25 Donggang Road, Haigang District, Qinhuangdao, Hebei Province, PRC “Articles of Association” the articles of association of the Company “Audit Committee” the audit committee of the Board “Berth” area for mooring of vessels on the shoreline. -
309 Vol. 1 People's Republic of China
E- 309 VOL. 1 PEOPLE'SREPUBLIC OF CHINA Public Disclosure Authorized HEBEI PROVINCIAL GOVERNMENT HEBEI URBANENVIRONMENT PROJECT MANAGEMENTOFFICE HEBEI URBAN ENVIRONMENTAL PROJECT Public Disclosure Authorized ENVIRONMENTALASSESSMENT SUMMARY Public Disclosure Authorized January2000 Center for Environmental Assessment Chinese Research Academy of Environmental Sciences Beiyuan Anwai BEIJING 100012 PEOPLES' REPUBLIC OF CHINA Phone: 86-10-84915165 Email: [email protected] Public Disclosure Authorized Table of Contents I. Introduction..................................... 3 II. Project Description ..................................... 4 III. Baseline Data .................................... 4 IV. Environmental Impacts.................................... 8 V. Alternatives ................................... 16 VI. Environmental Management and Monitoring Plan ................................... 16 VII. Public Consultation .17 VIII. Conclusions.18 List of Tables Table I ConstructionScale and Investment................................................. 3 Table 2 Characteristicsof MunicipalWater Supply Components.............................................. 4 Table 3 Characteristicsof MunicipalWaste Water TreatmentComponents .............................. 4 Table 4 BaselineData ................................................. 7 Table 5 WaterResources Allocation and Other Water Users................................................. 8 Table 6 Reliabilityof Water Qualityand ProtectionMeasures ................................................ -
6. Jing-Jin-Ji Region, People's Republic of China
6. Jing-Jin-Ji Region, People’s Republic of China Michael Lindfield, Xueyao Duan and Aijun Qiu 6.1 INTRODUCTION The Beijing–Tianjin–Hebei Region, known as the Jing-Jin-Ji Region (JJJR), is one of the most important political, economic and cultural areas in China. The Chinese government has recognized the need for improved management and development of the region and has made it a priority to integrate all the cities in the Bohai Bay rim and foster its economic development. This economy is China’s third economic growth engine, alongside the Pearl River and Yangtze River Deltas. Jing-Jin-Ji was the heart of the old industrial centres of China and has traditionally been involved in heavy industries and manufacturing. Over recent years, the region has developed significant clusters of newer industries in the automotive, electronics, petrochemical, software and aircraft sectors. Tourism is a major industry for Beijing. However, the region is experiencing many growth management problems, undermining its competitiveness, management, and sustainable development. It has not benefited as much from the more integrated approaches to development that were used in the older-established Pearl River Delta and Yangtze River Delta regions, where the results of the reforms that have taken place in China since Deng Xiaoping have been nothing less than extraordinary. The Jing-Jin-Ji Region covers the municipalities of Beijing and Tianjin and Hebei province (including 11 prefecture cities in Hebei). Beijing and Tianjin are integrated geographically with Hebei province. In 2012, the total population of the Jing-Jin-Ji Region was 107.7 million. -
FINAL EVALUATION China Thematic Window Youth, Employment and Migration
FINAL EVALUATION China Thematic window Youth, Employment and Migration Programme Title: Protecting and Promoting the Rights of China's Vulnerable Migrants February Author: Hongwei Meng, consultant 2012 Prologue This final evaluation report has been coordinated by the MDG Achievement Fund joint programme in an effort to assess results at the completion point of the programme. As stipulated in the monitoring and evaluation strategy of the Fund, all 130 programmes, in 8 thematic windows, are required to commission and finance an independent final evaluation, in addition to the programme’s mid-term evaluation. Each final evaluation has been commissioned by the UN Resident Coordinator’s Office (RCO) in the respective programme country. The MDG-F Secretariat has provided guidance and quality assurance to the country team in the evaluation process, including through the review of the TORs and the evaluation reports. All final evaluations are expected to be conducted in line with the OECD Development Assistant Committee (DAC) Evaluation Network “Quality Standards for Development Evaluation”, and the United Nations Evaluation Group (UNEG) “Standards for Evaluation in the UN System”. Final evaluations are summative in nature and seek to measure to what extent the joint programme has fully implemented its activities, delivered outputs and attained outcomes. They also generate substantive evidence-based knowledge on each of the MDG-F thematic windows by identifying best practices and lessons learned to be carried forward to other development interventions and policy-making at local, national, and global levels. We thank the UN Resident Coordinator and their respective coordination office, as well as the joint programme team for their efforts in undertaking this final evaluation. -
Li Zhanshu 栗战书 Born 1950
Li Zhanshu 栗战书 Born 1950 Current Positions • Member of the Politburo Standing Committee (2017–present) • Director of the General Office of the CCP Central Committee (2012–present) • Secretary of the Central Work Committee for Organs of the CCP Central Committee (2012–present) • Director of the Office of the National Security Committee (2013–present) • Head of the Central Confidential Commission of the CCP Central Committee (2013–present) • Member of the Politburo (2012–present) • Secretariat member of the Central Committee of the CCP (2012–2017) • Full member of the Central Committee of the CCP (2012–present) Personal and Professional Background Li Zhanshu was born on August 30, 1950, in Pingshan County, Hebei Province. Li was a “sent- down youth” at an agricultural commune in his native county (1968–72).i He joined the CCP in 1975. He studied at the Shijiazhuang Institute of Commerce in Shijiazhuang City, Hebei (1971–72), and received an undergraduate education in politics from Hebei Normal University in Shijiazhuang City (via part-time studies and night school, 1980–83). He also attended the graduate program in business economics at the Chinese Academy of Social Sciences (1996–98) and received an EMBA from the Harbin Institute of Technology in Harbin, Heilongjiang Province (2005–06), both on a part-time basis. Li began his political career as a clerk and later served as deputy director in the office of the commerce bureau of the Shijiazhuang prefecture government in Hebei (1972–76). He moved on to become a clerk and division head of the information division of the general office of the CCP Committee of Shijiazhuang Prefecture (1976–83). -
Economic, Social, and Ecological Impact Evaluation of Traffic Network
sustainability Article Economic, Social, and Ecological Impact Evaluation of Traffic Network in Beijing–Tianjin–Hebei Urban Agglomeration Based on the Entropy Weight TOPSIS Method Liang Zhang 1,2 , Xubing Zhang 1,2,*, Shenggu Yuan 3 and Kai Wang 2,4 1 School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China; [email protected] 2 Key Laboratory of the Ministry of Natural Resources for Research on Rule of Law, Wuhan 430074, China; [email protected] 3 China Transport Telecommunications and Information Center, Beijing 100011, China; [email protected] 4 School of Geophysics and Spatial Information, China University of Geosciences, Wuhan 430074, China * Correspondence: [email protected]; Tel.: +86-189-7120-0369 Abstract: In recent years, with the rapid development of urban transportation network in China, many problems have been exposed, especially in the Beijing–Tianjin–Hebei (BTH) region. Under the call of sustainable development, it is of great significance to evaluate the economic, social, and ecological (ESE) impact of transportation network in BTH urban agglomeration for promoting the sustainable development of transportation ESE in BTH urban agglomeration. In this paper, 12 indicators in the field of transportation are selected to build the evaluation index system of ESE effects of transportation network in BTH urban agglomeration. By using entropy weight TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) model and the Jenks natural breaks classification method, the ESE impacts of transportation network in 13 cities of BTH from 2013 to Citation: Zhang, L.; Zhang, X.; Yuan, 2017 are analyzed from the temporal and spatial dimensions. -
Spatial Distribution and Morphological Identification of Regional Urban Settlements Based on Road Intersections
International Journal of Geo-Information Article Spatial Distribution and Morphological Identification of Regional Urban Settlements Based on Road Intersections Liang Kong 1,2,3,4 , Zhengwei He 1,3,*, Zhongsheng Chen 4 , Mingliang Luo 4, Zhong Du 4 , Fuquan Zhu 5 and Li He 6 1 State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China; [email protected] 2 Key Laboratory of Earth Exploration and Information Technology of Ministry of Education, Chengdu University of Technology, Chengdu 610059, China 3 College of Geophysics, Chengdu University of Technology, Chengdu 610059, China 4 School of Land and Resources, China West Normal University, Nanchong 637009, China; [email protected] (Z.C.); [email protected] (M.L.); [email protected] (Z.D.) 5 General Education Department, Sichuan Police College, Luzhou 646000, China; [email protected] 6 College of Tourism and Urban-Rural Planning, Chengdu University of Technology, Chengdu 610059, China; [email protected] * Correspondence: [email protected]; Tel.: +86-28-84078705 Abstract: To measure and present urban size urban spatial forms, in solving problems in the rapid urbanization of China, urban territorial scope identification is essential. Although current commonly used methods can quantitatively identify urban territorial scopes to a certain extent, the results are displayed using a continuous and closed curve with medium- and low-resolution images. This makes the acquisition and interpretation of data challenging. In this paper, by extracting discretely dis- Citation: Kong, L.; He, Z.; Chen, Z.; tributed urban settlements, road intersections in OpenStreetMap (OSM), electronic maps, and urban Luo, M.; Du, Z.; Zhu, F.; He, L. -
Monitoring of Land Use/Land Cover and Socioeconomic Changes in South China Over the Last Three Decades Using Landsat and Nighttime Light Data
remote sensing Article Monitoring of Land Use/Land Cover and Socioeconomic Changes in South China over the Last Three Decades Using Landsat and Nighttime Light Data Sarah Hasan , Wenzhong Shi *, Xiaolin Zhu and Sawaid Abbas Department of Land Surveying and Geo-informatics, The Hong Kong Polytechnic University, Hong Kong 999077, China * Correspondence: [email protected]; Tel.: +852-2766-5975 Received: 28 May 2019; Accepted: 5 July 2019; Published: 11 July 2019 Abstract: Land use and land cover changes (LULCC) are prime variables that reflect changes in ecological systems. The Guangdong, Hong Kong, and Macau (GHKM) region located in South China has undergone rapid economic development and urbanization over the past three decades (1986–2017). Therefore, this study investigates the changes in LULC of GHKM based on multi-year Landsat and nighttime light (NTL) data. First, a supervised classification technique, i.e., support vector machine (SVM), is used to classify the Landsat images into seven thematic classes: forest, grassland, water, fishponds, built-up, bareland, and farmland. Second, the demographic activities are studied by calculating the light index, using nighttime light data. Third, several socioeconomic factors, derived from statistical yearbooks, are used to determine the impact on the LULCC in the study area. The post-classification change detection shows that the increase in the urban area, from 0.76% (1488.35 km2) in 1986 to 10.31% (20,643.28 km2) in 2017, caused GHKM to become the largest economic segment in South China. This unprecedented urbanization and industrialization resulted in a substantial reduction in both farmland (from 53.54% (105,123.93 km2) to 33.07% (64,932.19 km2)) and fishponds (from 1.25% (2463.35 km2) to 0.85% (1674.61 km2)) during 1986–2017. -
The People's Liberation Army's 37 Academic Institutions the People's
The People’s Liberation Army’s 37 Academic Institutions Kenneth Allen • Mingzhi Chen Printed in the United States of America by the China Aerospace Studies Institute ISBN: 9798635621417 To request additional copies, please direct inquiries to Director, China Aerospace Studies Institute, Air University, 55 Lemay Plaza, Montgomery, AL 36112 Design by Heisey-Grove Design All photos licensed under the Creative Commons Attribution-Share Alike 4.0 International license, or under the Fair Use Doctrine under Section 107 of the Copyright Act for nonprofit educational and noncommercial use. All other graphics created by or for China Aerospace Studies Institute E-mail: [email protected] Web: http://www.airuniversity.af.mil/CASI Twitter: https://twitter.com/CASI_Research | @CASI_Research Facebook: https://www.facebook.com/CASI.Research.Org LinkedIn: https://www.linkedin.com/company/11049011 Disclaimer The views expressed in this academic research paper are those of the authors and do not necessarily reflect the official policy or position of the U.S. Government or the Department of Defense. In accordance with Air Force Instruction 51-303, Intellectual Property, Patents, Patent Related Matters, Trademarks and Copyrights; this work is the property of the U.S. Government. Limited Print and Electronic Distribution Rights Reproduction and printing is subject to the Copyright Act of 1976 and applicable treaties of the United States. This document and trademark(s) contained herein are protected by law. This publication is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited. Permission is given to duplicate this document for personal, academic, or governmental use only, as long as it is unaltered and complete however, it is requested that reproductions credit the author and China Aerospace Studies Institute (CASI).