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Water Resource Carrying Capacity Based on Water Demand Prediction in Chang-Ji Economic Circle
water Article Water Resource Carrying Capacity Based on Water Demand Prediction in Chang-Ji Economic Circle Ge Wang 1,2,3,4, Changlai Xiao 1,2,3,4, Zhiwei Qi 1,2,3,4, Xiujuan Liang 1,2,3,4,*, Fanao Meng 1,2,3,4 and Ying Sun 1,2,3,4 1 Key Laboratory of Groundwater Resources and Environment, Jilin University, Ministry of Education, No 2519, Jiefang Road, Changchun 130021, China; [email protected] (G.W.); [email protected] (C.X.); [email protected] (Z.Q.); [email protected] (F.M.); [email protected] (Y.S.) 2 Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun 130021, China 3 National-Local Joint Engineering Laboratory of In-Situ Conversion, Drilling and Exploitation Technology for Oil Shale, Changchun 130021, China 4 College of New Energy and Environment, Jilin University, No 2519, Jiefang Road, Changchun 130021, China * Correspondence: [email protected] Abstract: In view of the large spatial difference in water resources, the water shortage and deteriora- tion of water quality in the Chang-Ji Economic Circle located in northeast China, the water resource carrying capacity (WRCC) from the perspective of time and space is evaluated. We combine the gray correlation analysis and multiple linear regression models to quantitatively predict water supply and demand in different planning years, which provide the basis for quantitative analysis of the WRCC. The selection of research indicators also considers the interaction of social economy, water resources, and water environment. Combined with the fuzzy comprehensive evaluation method, the gray corre- lation analysis and multiple linear regression models to quantitatively and qualitatively evaluate the WRCC under different social development plans. -
Chucheng Capital Information Memorandum
Listing Adviser (LAD): Chucheng Capital Information Memorandum For the Listing of Waters Years Holdings Group Limited Incorporated under the laws of BVI Business Companies Act, 2004, on the 13th day of April, 2017 with registered number 1942431. 1 www.chinacccg.com SECTION 1: CONTENTS 1. Contents Page 2 2. Important Information and Notices Page 3 3. Issuer and the List of Institutions Related to the Listing Page 6 4. Company Overview Page 7 5. Terms of the Issuance and Investment Overview Page 13 6. Business Overview Page 15 6.1 Executive Summary 6.2 Our Products and Services 6.3 Our Marketing Strategy and Technical Service System 6.4 Products’ Supplier and Main Cooperation Organization 6.5 Development Strategy 6.6 Permit and Licenses 6.7 Related Parties 7. Company Advantages and Investment Highlights Page 22 8. Directors and Senior Management Page 24 9. Financial Statements Page 31 10. Material Contracts Page 49 11. Risk Factors and Litigation Page 50 12. Definition of Abbreviations Page 54 2 SECTION 2: Important Information and Notices Dear investors: This ‘Information Memorandum for future listing’ (‘file’ or ‘memo’) has been approved and is submitted by Waters Years Holdings Group Limited, the 100 % ultimate holding company / owner of Jilin Waters Years Agriculture Science and Technology Co., Ltd. and hereafter called the company. The only purpose of this file is to increase the current condition (general image/exposure) of the company and to prepare for a public issue later by issuing stocks or depository receipts in the company on the Dutch Caribbean Stock Exchange. Thus, it is not comprehensive, and it does not include whole information that a future investor may wish to see when investigating investment opportunities. -
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 -
Effectiveness of Interventions to Control Transmission of Reemergent Cases of COVID-19 — Jilin Province, China, 2020
China CDC Weekly Preplanned Studies Effectiveness of Interventions to Control Transmission of Reemergent Cases of COVID-19 — Jilin Province, China, 2020 Qinglong Zhao1,&; Meng Yang2,&; Yao Wang2; Laishun Yao1; Jianguo Qiao3; Zhiyong Cheng3; Hanyin Liu4; Xingchun Liu2; Yuanzhao Zhu2; Zeyu Zhao2; Jia Rui2; Tianmu Chen2,# interventions, and to provide experience for other Summary provinces or cities in China, or even for other countries What is already known about this topic? to deal with the second outbreak of COVID-19 COVID-19 has a high transmissibility calculated by outbreaks. mathematical model. The dynamics of the disease and Based on our previous study (2–5), we developed a the effectiveness of intervention to control the Susceptible-Exposed-Infectious-Asymptomatic- transmission remain unclear in Jilin Province, China. Removed (SEIAR) model to fit the data in Jilin What is added by this report? Province and to perform the assessment. In the SEIAR This is the first study to report the dynamic model, individuals were divided into five characteristics and to quantify the effectiveness of compartments: Susceptible (S), Exposed (E), Infectious interventions implemented in the second outbreak of (I), Asymptomatic (A), and Removed (R), and the COVID-19 in Jilin Province, China. The effective equations of the model were shown as follows: reproduction number of the disease before and after dS May 10 was 4.00 and p<0.01, respectively. The = −βS (I + κA) (1) combined interventions reduced the transmissibility of dt dE ¬ COVID-19 by 99% and the number of cases by = βS (I + κA) − p! E − ( − p) !E (2) dt 98.36%. -
CHINA VANKE CO., LTD.* 萬科企業股份有限公司 (A Joint Stock Company Incorporated in the People’S Republic of China with Limited Liability) (Stock Code: 2202)
Hong Kong Exchanges and Clearing Limited and The Stock Exchange of Hong Kong Limited take no responsibility for the contents of this announcement, make no representation as to its accuracy or completeness and expressly disclaim any liability whatsoever for any loss howsoever arising from or in reliance upon the whole or any part of the contents of this announcement. CHINA VANKE CO., LTD.* 萬科企業股份有限公司 (A joint stock company incorporated in the People’s Republic of China with limited liability) (Stock Code: 2202) 2019 ANNUAL RESULTS ANNOUNCEMENT The board of directors (the “Board”) of China Vanke Co., Ltd.* (the “Company”) is pleased to announce the audited results of the Company and its subsidiaries for the year ended 31 December 2019. This announcement, containing the full text of the 2019 Annual Report of the Company, complies with the relevant requirements of the Rules Governing the Listing of Securities on The Stock Exchange of Hong Kong Limited in relation to information to accompany preliminary announcement of annual results. Printed version of the Company’s 2019 Annual Report will be delivered to the H-Share Holders of the Company and available for viewing on the websites of The Stock Exchange of Hong Kong Limited (www.hkexnews.hk) and of the Company (www.vanke.com) in April 2020. Both the Chinese and English versions of this results announcement are available on the websites of the Company (www.vanke.com) and The Stock Exchange of Hong Kong Limited (www.hkexnews.hk). In the event of any discrepancies in interpretations between the English version and Chinese version, the Chinese version shall prevail, except for the financial report prepared in accordance with International Financial Reporting Standards, of which the English version shall prevail. -
World Bank Loan Jilin-Hunchun Railway
RP1107 World Bank Loan Public Disclosure Authorized Jilin-Hunchun Railway Project Resettlement Action Plan Public Disclosure Authorized Public Disclosure Authorized January 2011 Public Disclosure Authorized Project of World Bank Loan Newly Built Jilin-Hunchun Railway CONTENTS LIST OF TABLES V LIST OF FIGURES VIII A R A P E B C G P D P R A P M M P I P P D S P C S I S C S E S G G D P C C D L J P J C Y K A P S E S O O S S C R C T O H R N R P R F R A M Project of World Bank Loan I Newly Built Jilin-Hunchun Railway V G S E F A U R H R P R F R A M U R A U V R S E F A H O R C A S E F A P E P I C P I I R P P I P I P L A T S H D A P P S T M O G S E C RAP P F R T A L P A L P D L F R L R R C C S C B C S L A C S S C D H A G F Project of World Bank Loan II Newly Built Jilin-Hunchun Railway C S I S E R E C C I C R G P V L P V C L O L R M R P H D R P R P A H O R C A R P A S R P A E A B I R V G C R I P I P T P A F F C O F R H I C C A P C S Project of World Bank Loan III Newly Built Jilin-Hunchun Railway S S P O P I D A P P P C C C M E I M I T O P C M P I I E M E I T O P M I M E M M E W P F P R Project of World Bank Loan IV Newly Built Jilin-Hunchun Railway LIST OF TABLES Table 1-1 Table for Analyzing Strong Points and Weak Points of Yanji Station .................. -
Jilin Province, China, January 2021
China CDC Weekly Outbreak Reports COVID-19 Super Spreading Event Amongst Elderly Individuals — Jilin Province, China, January 2021 Laishun Yao1,&; Mingyu Luo2,&; Tiewu Jia3,&; Xingang Zhang1; Zhulin Hou1; Feng Gao1; Xin Wang1; Xiaogang Wu1; Weihua Cheng4; Guoqian Li4; Jing Lu4; Bing Zhao3; Tao Li3; Enfu Chen2; Dapeng Yin3,#; Biao Huang1,# locked down to help stop virus transmission starting Summary from January 20. What is already known on this topic? Clusters of COVID-19 cases often happened in small INVESTIGATION AND RESULTS settings (e.g., families, offices, school, or workplaces) that facilitate person-to-person virus transmission, Through January 31, 2021, there have been about especially from a common exposure. 140 cases associated with the same case (called Mr. L in What is added by this report? this report), showing Mr. L to be a super spreader. On January 10 and 11, 2021, an individual gave three Mr. L, a 44-year-old male, is a product promotion product promotional lectures in Tonghua City, Jilin lecturer who travels often. From December 23, 2020 Province, that ultimately led to a 74-case cluster of to January 3, 2021, Mr. L traveled by train and plane COVID-19. Our investigation determined the in Shandong, Shanxi, Henan, and Heilongjiang outbreak to be an import-related COVID-19 provinces; from January 3 to 6, Mr. L traveled by train superspreading cluster event in which elderly, retired inside Heilongjiang Province; and on January 7, he people were exposed to the infected individual during traveled through Jilin Province by train to Changchun his promotional lectures, which were delivered in a City. -
Analyzing Land Use Changes in the Metropolitan Jilin City of Northeastern China Using Remote Sensing and GIS
Sensors 2008, 8, 5449-5465; DOI: 10.3390/s8095449 OPEN ACCESS sensors ISSN 1424-8220 www.mdpi.org/sensors Article Analyzing Land Use Changes in the Metropolitan Jilin City of Northeastern China Using Remote Sensing and GIS Dan Hu 1, Guodong Yang 2,*, Qiong Wu 2, Hongqing Li 2, Xusheng Liu 3, Xuefeng Niu 2, Zhiheng Wang 2 and Qiong Wang 2 1 State Key Laboratory of Urban & Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P.O. Box 2871, Beijing 100085, P.R. China; E-mail: [email protected] (D. H.) 2 College of Geo-exploring Science and Technology, Jilin University, 6 West Minzhu Street, Changchun 130026, P.R. China; E-mails: [email protected] (Q. W.); [email protected] (H. L.); [email protected] (X. N.); [email protected] (Z. W.); [email protected] (Q. W.); Tel.: +86- 431-87627036. Fax: +86-431-87627036. 3 The 3rd Surveying and Mapping Institute, Heilongjiang Bureau of Surveying and Mapping, 2 Cehui Road, Harbin 150086, P.R. China; E-mail: [email protected] (Xusheng Liu); Tel.: +86-451- 86684898; Fax: +86-451-86665376 * Author to whom correspondence should be addressed; E-mail: [email protected] Received: 20 July 2008; in revised form: 1 September 2008 / Accepted: 1 September 2008 / Published: 3 September 2008 Abstract: Remote sensing and GIS have been widely employed to study temporal and spatial urban land use changes in southern and southeastern China. However, few studies have been conducted in northeastern regions. This study analyzed land use change and spatial patterns of urban expansion in the metropolitan area of Jilin City, located on the extension of Changbai Mountain, based on aerial photos from 1989 and 2005 Spot images. -
Download Article
International Industrial Informatics and Computer Engineering Conference (IIICEC 2015) Temporal-spatial Changes Analysis of Land Use Structure in JilinCity Based on Information Entropy Ruiqing Qie1, a 1 Department of Land Resource Management, Jilin Agricultural University, Changchun 130118, China a email: [email protected] Keywords: Land use structure, Information entropy, Temporal-spatial changes, Jilin City. Abstract. City land use is a very complex system, and its development is influenced by many factors. The city land utilization structure will directly affect the development of the city. Information theory can reflect the order and structure of land use, which provides decision support for the city land utilization structure optimization. Based on the land use data of Jilin from 2000 to 2012, this paper selects information entropy, Equilibrium degree and Advantage degree as evaluation indexes. The land use change is done spatial-temporal analysis of recent years, and exploring the main driving factors of influencing the change of structure. The results show that, the information entropy of Jilin city land use is reduced gradually in recent years, and the land use structure tend to be ordered steadily; spatial difference of information entropy is bigger, showing obvious regional characteristics, and the larger entropy mainly concentrated in the economically more developed regions. In land use change, economic and demographic factors, land use change has the maximum effect on the information entropy, and the economic and demographic factors have different degree restricts on the information entropy. Introduction This paper uses the information entropy theory to study the change of land use in Jilin City, analyzes the variation of entropy, then analyzes land use information entropy variation of sub region, so as to further understand the evolution and spatial pattern of land use system in Jilin City. -
Index of Projects (By Country/Region)
Index of Projects (By country/region) As of 06/01/2013 Project Owners Project Owners (by country/ region) Australia Asia Star Capital ............................................................................................................................................ 1 Australia Capital Financial Management Pty Ltd (ACFM) ............................................................................. 2 Buel Pty Ltd ................................................................................................................................................... 4 Fortan Holdings Pty Ltd ................................................................................................................................. 5 Rivkin Securities Pty Ltd ................................................................................................................................ 6 Austria Bestrong International Ltd ............................................................................................................................ 7 Bahamas The Winterbotham Trust Company (Hong Kong) Limited ............................................................................ 8 Belgium SMIDTS & PARTNERS .................................................................................................................................... 9 Canada Accelerated Ventures, Inc. .......................................................................................................................... 10 City of Brampton, Canada .......................................................................................................................... -
Property Sales & New Land Acquisition Update for June 2011
Property Sales & New Land Acquisition Update For June 2011 Stock Code:00688.HK Serial No.:( COLI-IR)2011-6E 1. Property Sales For June 2011, the property sales amounted to HK$12.1 billion, and the GFA sold reached 635,300.0 square meters, representing an increase of 100.8% and 52.2% respectively from those in June 2010. From January to June 2011, the total property sales amounted to HK$52.2 billion and the total GFA sold reached 3.1 million square meters, representing an increase of 85.9% and 38.2% respectively as compared to the same period of last year. Table 1: Property Sales for June 2011 Property Sales in Value (HK$’00 mn) Property Sales in GFA (‘000 Sq.m.) Regions June 2011 June 2010 YoY June 2011 June 2010 YoY Pearl River Delta 7.06 17.38 -59.38% 46.1 129.3 -64.35% Yangtze River Delta 51.75 24.69 109.60% 198.8 96.0 107.08% Bohai Rim 26.05 7.11 266.39% 87.3 40.4 116.09% Northern Region 19.02 4.17 356.12% 185.0 58.0 218.97% Western Region 17.48 7.08 146.89% 118.1 93.7 26.04% HK & Macau 0 0 - 0 0 - Total 121.36 60.43 100.83% 635.3 417.4 52.20% Table 2: Property Sales for January-June 2011 Property Sales in Value (HK$’00 mn) Property Sales in GFA (‘000 Sq.m.) Regions Jan-Jun 2011 Jan-Jun 2010 YoY Jan-Jun 2011 Jan-Jun 2010 YoY Pearl River Delta 94.06 70.06 34.26% 557.8 572.0 -2.48% Yangtze River Delta 111.99 73.19 53.01% 473.8 336.3 40.89% Bohai Rim 122.41 48.14 154.28% 505.7 315.5 60.29% Northern Region 73.76 42.66 72.90% 776.0 502.8 54.34% Western Region 98.92 46.66 112.00% 744.1 496.7 49.81% HK & Macau 21.18 0.28 7464.29% 14.9 0.4 3625.00% Total 522.32 280.99 85.89% 3,072.3 2,223.7 38.16% 2. -
New Construction Project of Jilin- Hunchun Railway
IPP 486 Public Disclosure Authorized New Construction Project of Jilin- Hunchun Railway Public Disclosure Authorized Social Assessment & Minority Development Plan Public Disclosure Authorized Prepared by: Western Development and Research Center of Minzu University of China Chinese Minorities Research Center, Minzu University of China Beijing · February 2011 Public Disclosure Authorized CONTENTS Page ABSTRACT .............................................................................................................................................................4 1. TASKS, INVESTIGATION METHODS AND PROCESS .....................................................................8 1.1 TASKS AND BASIS ..........................................................................................................................................8 1.1.1 Tasks.........................................................................................................................................................8 1.1.2 Basis..........................................................................................................................................................8 1.2 COMPETENCE IN ASSESSMENT ...................................................................................................................9 1.3 INVESTIGATION AND RESEARCH METHODS AND PROCESS .................................................................12 1.3.1 Location selection and methods of typical-case investigation........................................................................12