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Multi-Scale Analysis of Green Space for Human Settlement Sustainability in Urban Areas of the Inner Mongolia Plateau, China
sustainability Article Multi-Scale Analysis of Green Space for Human Settlement Sustainability in Urban Areas of the Inner Mongolia Plateau, China Wenfeng Chi 1,2, Jing Jia 1,2, Tao Pan 3,4,5,* , Liang Jin 1,2 and Xiulian Bai 1,2 1 College of resources and Environmental Economics, Inner Mongolia University of Finance and Economics, Inner Mongolia, Hohhot 010070, China; [email protected] (W.C.); [email protected] (J.J.); [email protected] (L.J.); [email protected] (X.B.) 2 Resource Utilization and Environmental Protection Coordinated Development Academician Expert Workstation in the North of China, Inner Mongolia University of Finance and Economics, Inner Mongolia, Hohhot 010070, China 3 College of Geography and Tourism, Qufu Normal University, Shandong, Rizhao 276826, China 4 Department of Geography, Ghent University, 9000 Ghent, Belgium 5 Land Research Center of Qufu Normal University, Shandong, Rizhao 276826, China * Correspondence: [email protected]; Tel.: +86-1834-604-6488 Received: 19 July 2020; Accepted: 18 August 2020; Published: 21 August 2020 Abstract: Green space in intra-urban regions plays a significant role in improving the human habitat environment and regulating the ecosystem service in the Inner Mongolian Plateau of China, the environmental barrier region of North China. However, a lack of multi-scale studies on intra-urban green space limits our knowledge of human settlement environments in this region. In this study, a synergistic methodology, including the main process of linear spectral decomposition, vegetation-soil-impervious surface area model, and artificial digital technology, was established to generate a multi-scale of green space (i.e., 15-m resolution intra-urban green components and 0.5-m resolution park region) and investigate multi-scale green space characteristics as well as its ecological service in 12 central cities of the Inner Mongolian Plateau. -
JFAE(Food & Health-Parta) Vol3-1 (2005)
WFL Publisher Science and Technology Meri-Rastilantie 3 B, FI-00980 Journal of Food, Agriculture & Environment Vol.10 (3&4): 1555-1557. 2012 www.world-food.net Helsinki, Finland e-mail: [email protected] Ecological risk assessment of water in petroleum exploitation area in Daqing oil field Kouqiang Zhang 1, Xinqi Zheng 1, Dongdong Liu 2, Feng Wu 3 and Xiangzheng Deng 3, 4* 1 China University of Geosciences, No. 29, Xueyuan Road, Haidian District, Beijing, 100083, China. 2 School of Mathematics and Physics, China University of Geosciences, No. 388, Lumo Road, Wuhan, 430074, China. 3 Institute of Geographical Sciences and National Resources Research, China Academy of Science, Beijing 100101, China. 4 Center for Chinese Agricultural Policy, Chinese Academy of Sciences, Beijing 100101, China. *e-mail:[email protected] Received 12 April 2012, accepted 6 October 2012. Abstract Ecological risk assessment (ERA) has been highly concerned due to the serious water environment pollution recently. With the development of socio-economic, preliminary ERA are placed in an increasingly important position and is the current focus and hot spot with great significance in terms of environment monitoring, ecological protection and conservation of biodiversity. Polycyclic aromatic hydrocarbons (PAHs) is a major ecological environment pollutant, especially in water pollutants. In this paper, we assessed the ecological risk of water in the petroleum exploitation area in Daqing oil field. The concentration of naphthalene in the water samples of study area is the basic data, and Hazard Quotient (HQ) is the major method for our assessment. According to the analysis of the amount of naphthalene, the ratio coefficient and the space distribution characteristic in the study area, and deducting quotient value of naphthalene hazard spatially with Spatial Extrapolation Toolkit, we used contour lines to complete the preliminary assessment study on aquatic ecological risk in the region. -
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sustainability Article Efficiency Loss and Intensification Potential of Urban Industrial Land Use in Three Major Urban Agglomerations in China Xiangdong Wang 1,2,3,* , Xiaoqiang Shen 1,2 and Tao Pei 3 1 College of Management, Lanzhou University, Lanzhou 730000, China; [email protected] 2 Institute for Studies in County Economy Development, Lanzhou University, Lanzhou 730000, China 3 Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; [email protected] * Correspondence: [email protected] Received: 24 December 2019; Accepted: 20 February 2020; Published: 22 February 2020 Abstract: In recent decades, efficiency and intensification have emerged as hot topics within urban industrial land use (UILU) studies in China. However, the measurement and analysis of UILU efficiency and intensification are not accurate and in-depth enough. The study of UILU efficiency loss and intensification potential and their relationship is still lacking, and the application of parametric methods with clearer causal mechanisms is insufficient. This paper argued that the intensification potential of UILU could be defined as the amount of saved land or output growth resulting from reduced efficiency loss of UILU. Accordingly, we constructed quantitative models for measuring and evaluating the intensification potential of UILU, using the stochastic frontier analysis (SFA) method to calculate efficiency loss in three major urban agglomerations (38 cities) in China. Our results revealed a large scale and an expanding trend in the efficiency loss and intensification potential of UILU in three major urban agglomerations in China. From 2003 to 2016, the annual efficiency loss of UILU was 31.56%, the annual land-saving potential was 979.98 km2, and the annual output growth potential was 8775.23 billion Yuan (referring to the constant price for 2003). -
Changchun–Harbin Expressway Project
Performance Evaluation Report Project Number: PPE : PRC 30389 Loan Numbers: 1641/1642 December 2006 People’s Republic of China: Changchun–Harbin Expressway Project Operations Evaluation Department CURRENCY EQUIVALENTS Currency Unit – yuan (CNY) At Appraisal At Project Completion At Operations Evaluation (July 1998) (August 2004) (December 2006) CNY1.00 = $0.1208 $0.1232 $0.1277 $1.00 = CNY8.28 CNY8.12 CNY7.83 ABBREVIATIONS AADT – annual average daily traffic ADB – Asian Development Bank CDB – China Development Bank DMF – design and monitoring framework EIA – environmental impact assessment EIRR – economic internal rate of return FIRR – financial internal rate of return GDP – gross domestic product ha – hectare HHEC – Heilongjiang Hashuang Expressway Corporation HPCD – Heilongjiang Provincial Communications Department ICB – international competitive bidding JPCD – Jilin Provincial Communications Department JPEC – Jilin Provincial Expressway Corporation MOC – Ministry of Communications NTHS – national trunk highway system O&M – operations and maintenance OEM – Operations Evaluation Mission PCD – provincial communication department PCR – project completion report PPTA – project preparatory technical assistance PRC – People’s Republic of China RRP – report and recommendation of the President TA – technical assistance VOC – vehicle operating cost NOTE In this report, “$” refers to US dollars. Keywords asian development bank, development effectiveness, expressways, people’s republic of china, performance evaluation, heilongjiang province, jilin province, transport Director Ramesh Adhikari, Operations Evaluation Division 2, OED Team leader Marco Gatti, Senior Evaluation Specialist, OED Team members Vivien Buhat-Ramos, Evaluation Officer, OED Anna Silverio, Operations Evaluation Assistant, OED Irene Garganta, Operations Evaluation Assistant, OED Operations Evaluation Department, PE-696 CONTENTS Page BASIC DATA v EXECUTIVE SUMMARY vii MAPS xi I. INTRODUCTION 1 A. -
Study on Land Use/Cover Change and Ecosystem Services in Harbin, China
sustainability Article Study on Land Use/Cover Change and Ecosystem Services in Harbin, China Dao Riao 1,2,3, Xiaomeng Zhu 1,4, Zhijun Tong 1,2,3,*, Jiquan Zhang 1,2,3,* and Aoyang Wang 1,2,3 1 School of Environment, Northeast Normal University, Changchun 130024, China; [email protected] (D.R.); [email protected] (X.Z.); [email protected] (A.W.) 2 State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Northeast Normal University, Changchun 130024, China 3 Laboratory for Vegetation Ecology, Ministry of Education, Changchun 130024, China 4 Shanghai an Shan Experimental Junior High School, Shanghai 200433, China * Correspondence: [email protected] (Z.T.); [email protected] (J.Z.); Tel.: +86-1350-470-6797 (Z.T.); +86-135-9608-6467 (J.Z.) Received: 18 June 2020; Accepted: 25 July 2020; Published: 28 July 2020 Abstract: Land use/cover change (LUCC) and ecosystem service functions are current hot topics in global research on environmental change. A comprehensive analysis and understanding of the land use changes and ecosystem services, and the equilibrium state of the interaction between the natural environment and the social economy is crucial for the sustainable utilization of land resources. We used remote sensing image to research the LUCC, ecosystem service value (ESV), and ecological economic harmony (EEH) in eight main urban areas of Harbin in China from 1990 to 2015. The results show that, in the past 25 years, arable land—which is a part of ecological land—is the main source of construction land for urbanization, whereas the other ecological land is the main source of conversion to arable land. -
Shanghai Municipal Commission of Commerce Belt and Road Countries Investment Index Report 2018 1 Foreword
Shanghai Municipal Commission of Commerce Belt and Road Countries Investment Index Report 2018 1 Foreword 2018 marked the fifth year since International Import Exposition Municipal Commission of Commerce, President Xi Jinping first put forward (CIIE), China has deepened its ties releasing the Belt and Road Country the Belt and Road Initiative (BRI). The with partners about the globe in Investment Index Report series Initiative has transformed from a trade and economic development. to provide a rigorous framework strategic vision into practical action President Xi Jinping has reiterated at for evaluating the attractiveness during these remarkable five years. these events that countries should of investing in each BRI country. enhance cooperation to jointly build Based on extensive data collection There have been an increasing a community of common destiny and in-depth analysis, we evaluated number of participating countries for all mankind , and the Belt and BRI countries' (including key and expanding global cooperation Road Initiative is critical to realizing African nations) macroeconomic under the BRI framework, along with this grand vision. It will take joint attractiveness and risks, and identified China's growing global influence. By efforts and mutual understanding to key industries with high growth the end of 2018, China had signed overcome the challenges ahead. potential, to help Chinese enterprises BRI cooperation agreements with better understand each jurisdiction's 122 countries and 29 international Chinese investors face risks in the investment environment. organizations. According to the Big BRI countries, most of which are Data Report of the Belt and Road developing nations with relatively The Belt and Road Country (2018) published by the National underdeveloped transportation and Investment Index Report 2017 Information Center, public opinion telecommunication infrastructures. -
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 -
Supplement of Modeling Diurnal Variation of Surface PM2.5
Supplement of Atmos. Chem. Phys., 20, 2839–2863, 2020 https://doi.org/10.5194/acp-20-2839-2020-supplement © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License. Supplement of Modeling diurnal variation of surface PM2:5 concentrations over East China with WRF-Chem: impacts from boundary-layer mixing and anthropogenic emission Qiuyan Du et al. Correspondence to: Chun Zhao ([email protected]) The copyright of individual parts of the supplement might differ from the CC BY 4.0 License. Supporting materials for “Modeling diurnal variation of surface PM2.5 concentration over East China with WRF-Chem: Impacts from boundary layer mixing and anthropogenic emission” Figure S1. Spatial distribution of peak diurnal index of surface PM2.5 concentrations in the four months from experiments CTL1, CTL2, and CTL3. The observations are shown as the color filled circles. The observations at the stations within one city are averaged and shown as one circle as they are too close to be shown distinctly. Figure S2. Comparison between monthly mean surface PM2.5 concentrations and diurnal index of surface PM2.5 concentrations at each observational site over the YRD region of East China (within black box of Fig. 1a) for April and October from observations and experiments CTL1, CTL2, and CTL3. Figure S3a. Relative contribution (normalized by monthly mean surface PM2.5 concentrations for each month) to surface PM2.5 concentrations every 3-hour from individual process (transport, emission, dry and wet deposition, PBL mixing, chemical production/loss) averaged over Nanjing(a) for January, April, July, and October of 2018 from experiments CTL1, CTL2, and CTL3. -
Issues and Challenges of Governance in Chinese Urban Regions
Zurich Open Repository and Archive University of Zurich Main Library Strickhofstrasse 39 CH-8057 Zurich www.zora.uzh.ch Year: 2015 Metropolitanization and State Re-scaling in China: Issues and Challenges of Governance in Chinese Urban Regions Dong, Lisheng ; Kübler, Daniel Abstract: Since the 1978 reforms, city-regions are on the rise in China, and urbanisation is expected to continue as the Central Government intends to further push city development as part of the economic modernisation agenda. City-regions pose new challenges to governance. They transcend multiple local jurisdictions and often involve higher level governments. This paper aims to provide an improved un- derstanding of city-regional governance in China, focusing on three contrasting examples (the Yangtze River Delta Metropolitan Region, the Beijing- Tianjin-Hebei Metropolitan Region, and the Guanzhong- Tianshui Metropolitan Region). We show that, in spite of a strong vertical dimension of city-regional governance in China, the role and interference of the Central Government in matters of metropolitan policy-making is variable. Posted at the Zurich Open Repository and Archive, University of Zurich ZORA URL: https://doi.org/10.5167/uzh-119284 Conference or Workshop Item Accepted Version Originally published at: Dong, Lisheng; Kübler, Daniel (2015). Metropolitanization and State Re-scaling in China: Issues and Challenges of Governance in Chinese Urban Regions. In: Quality of government: understanding the post-1978 transition and prosperity of China, Shanghai, 16 October 2015 - 17 October 2015. Metropolitanization and State Re-scaling in China: Issues and Challenges of Governance in Chinese Urban Regions Lisheng DONG* & Daniel KÜBLER** * Chinese Academy of Social Sciences, Beijing, P.R. -
Fushun Four Page
FUSHUN MINING GROUP CO., LTD. L IAONING PROVINCE Opportunities for Investment in Coal Mine Methane Projects A major coal producer, the Fushun Mining Group Company, Ltd. has one producing underground mine and one open-pit mine. Total coal production in the mining area is about 6 million tonnes of coal annually. The underground mine, Laohutai, drains about 100 million cubic meters (more than 3.5 billion cubic feet) of methane annually, and methane production from surface boreholes has also begun. Significant opportunity exists for expanding recovery and utilization of methane from surface and underground boreholes. The Fushun Mining Group Company, Ltd. seeks investment for expanding the production of methane from surface boreholes and combining it with a portion of the methane recovered from the Laohutai mine to meet the energy needs of the nearby city of Shenyang. Fushun Mining Group seeks investment from China and abroad to for the proposed coal mine methane development project described in this brochure. OVERVIEW OF THE FUSHUN MINING GROUP COMPANY LTD. CHINA Fushun Mining Area LIAONING The Fushun Mining Group Company Ltd. (informally known as the Fushun Mining Group) is a large state-owned coal enterprise with 26 subsidiaries. Located in the city of Fushun in northeastern China’s Liaoning Province, it is about 45 km from Shenyang, the capital of the province, and 126 km from Anshan, a major iron and steel manufacturing center. Although the Fushun area has produced coal for more than 100 years, an estimated 800 million tonnes of recoverable reserves remain. The Fushun Mining Group has total assets of 4.7 billion yuan ($US 566 million). -
STOXX Hong Kong All Shares 50 Last Updated: 01.12.2016
STOXX Hong Kong All Shares 50 Last Updated: 01.12.2016 Rank Rank (PREVIOUS ISIN Sedol RIC Int.Key Company Name Country Currency Component FF Mcap (BEUR) (FINAL) ) KYG875721634 BMMV2K8 0700.HK B01CT3 Tencent Holdings Ltd. CN HKD Y 128.4 1 1 HK0000069689 B4TX8S1 1299.HK HK1013 AIA GROUP HK HKD Y 69.3 2 2 CNE1000002H1 B0LMTQ3 0939.HK CN0010 CHINA CONSTRUCTION BANK CORP H CN HKD Y 60.3 3 4 HK0941009539 6073556 0941.HK 607355 China Mobile Ltd. CN HKD Y 57.5 4 3 CNE1000003G1 B1G1QD8 1398.HK CN0021 ICBC H CN HKD Y 37.7 5 5 CNE1000001Z5 B154564 3988.HK CN0032 BANK OF CHINA 'H' CN HKD Y 32.6 6 7 KYG217651051 BW9P816 0001.HK 619027 CK HUTCHISON HOLDINGS HK HKD Y 32.0 7 6 HK0388045442 6267359 0388.HK 626735 Hong Kong Exchanges & Clearing HK HKD Y 28.5 8 8 CNE1000003X6 B01FLR7 2318.HK CN0076 PING AN INSUR GP CO. OF CN 'H' CN HKD Y 26.5 9 9 CNE1000002L3 6718976 2628.HK CN0043 China Life Insurance Co 'H' CN HKD Y 20.4 10 15 HK0016000132 6859927 0016.HK 685992 Sun Hung Kai Properties Ltd. HK HKD Y 19.4 11 10 HK0883013259 B00G0S5 0883.HK 617994 CNOOC Ltd. CN HKD Y 18.9 12 12 HK0002007356 6097017 0002.HK 619091 CLP Holdings Ltd. HK HKD Y 18.3 13 13 KYG2103F1019 BWX52N2 1113.HK HK50CI CK Property Holdings HK HKD Y 17.9 14 11 CNE1000002Q2 6291819 0386.HK CN0098 China Petroleum & Chemical 'H' CN HKD Y 16.8 15 14 HK0688002218 6192150 0688.HK 619215 China Overseas Land & Investme CN HKD Y 14.8 16 16 HK0823032773 B0PB4M7 0823.HK B0PB4M Link Real Estate Investment Tr HK HKD Y 14.6 17 17 CNE1000003W8 6226576 0857.HK CN0065 PetroChina Co Ltd 'H' CN HKD Y 13.5 18 19 HK0003000038 6436557 0003.HK 643655 Hong Kong & China Gas Co. -
A Case Study on Land-Use Process of Daqing Region
Int. J. Environ. Sci. Technol. (2015) 12:3827–3836 DOI 10.1007/s13762-015-0797-y ORIGINAL PAPER An assessment approach of land-use to resource-based cities: a case study on land-use process of Daqing region 1 2 1 1 S. Y. Zang • X. Huang • X. D. Na • L. Sun Received: 4 September 2013 / Revised: 28 October 2013 / Accepted: 14 March 2015 / Published online: 9 April 2015 Ó Islamic Azad University (IAU) 2015 Abstract Land is an important natural resource for na- profitability) are defined in the studied case, which provide tional economic development, and many countries are the assessment of local land use with intuitive criteria. And paying more and more concerns on how to effectively professional suggestion of adjustment index was proposed utilize the resource. As an example, local petroleum in- for scientific management of land use for the local man- dustry in Daqing region is developing rapidly; it leads to agement administration. the usable land resource diminishing and the agricultural ecological environment degenerating recently, such kind of Keywords Z–H model Á Land use Á Resource-based city Á land change process characterizes land-use feature of Assessment Á Daqing region typical resource-based city. Therefore, the study of the land-use change of Daqing region is representative and instructive for most resource-based cities. To provide rea- Introduction sonable land use with a theoretical basis for scientific management of such resource-based region, a method to Daqing region locates at Heilongjiang Province, northeast quantitatively assess and adjust the land resource use ac- of China, the range is longitudinal 123°450–125°470E and cording to local economic development scenarios is intro- latitudinal 45°230–47°280N, and its area covers duced in the current study.