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Environmental Impact Analysis in This Report
Environmental Impacts Assessment Report on Project Construction Project name: European Investment Bank Loan Hunan Camellia Oil Development Project Construction entity (Seal): Foreign Fund Project Administration Office of Forestry Department of Hunan Province Date of preparation: July 1st, 2012 Printed by State Environmental Protection Administration of China Notes for Preparation of Environmental Impacts Assessment Report on Project Construction An Environmental Impacts Assessment (EIA) Report shall be prepared by an entity qualified for conducting the work of environmental impacts assessment. 1. Project title shall refer to the name applied by the project at the time when it is established and approved, which shall in no case exceed 30 characters (and every two English semantic shall be deemed as one Chinese character) 2. Place of Construction shall refer to the detailed address of project location, and where a highway or railway is involved, names of start station and end station shall be provided. 3. Industry category shall be stated according to the Chinese national standards. 4. Total Investment Volume shall refer to the investment volume in total of the project. 5. Principal Targets for Environment Protection shall refer to centralized residential quarters, schools, hospitals, protected culture relics, scenery areas, water sources and ecological sensitive areas within certain radius of the project area, for which the objective, nature, size and distance from project boundary shall be set out as practical as possible. 6. Conclusion and suggestions shall include analysis results for clean production, up-to-standard discharge and total volume control of the project; a determination on effectiveness of pollution control measures; an explanation on environmental impacts by the project, and a clear-cut conclusion on feasibility of the construction project. -
Distribution of Triarrhena Lutarioriparia and Its Reserve Characteristics of Nitrogen and Phosphorus in Dongting Lake
E3S Web of Conferences 237, 01004 (2021) https://doi.org/10.1051/e3sconf/202123701004 ARFEE 2020 Distribution of Triarrhena lutarioriparia and its reserve characteristics of nitrogen and phosphorus in Dongting Lake Youze Xu1, Guangyi Fu1,Nan Tang1, Zhonghao He 2, Lincheng Jian1, and Yuanyuan Zhao1* 1. Hunan Research Academy of Environmental Science, Hunan Provincial Key Laboratory of Water Pollution Control Technology, 410000 Changsha Hunan, China 2. Beijing Normal University-Hong Kong Baptist University United International College, 519000 Zhuhai Guangdong, China Abstract. Triarrhena lutarioriparia, a typical and most abundant macrophyte in Dongting lake wetland, was in the state of abandonment following the papermaking industry revocation in the lake basin. In order to provide scientific basis for precise management of T. lutarioriparia, the T. lutarioriparia distribution charateristics in Dongting Lake and its storage characteristics of nutrients were investigated in this study. Remote sensing interpretation results showed that the total area of T. lutarioriparia in Dongting Lake wetland was 58,450 ha, 48.31% of which distributed in South Doting Lake wetlands. The nutrients contents were significantly different in T. lutarioriparia tissues, ranking in the descending order of spikes (TN 27.90 mg/g, TP 3.46 mg/g)>leaves (TN 16.38 mg/g, TP 2.11 mg/g)>stems (TN 5.38 mg/g, TP 0.85 mg/g). The total P quantities in each T. lutarioriparia tissue were ranked in the order: stems (560.26 t)>leaves (396.52 t)>spikes (284.67 t), while the total N quantities were within the range of 2170.02~2801.3 t. It was estimated that about 7712.99 t of TN and 1241.45 t of TP were annually removed from Dongting Lake by reaping T. -
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. -
Chinese Bankers Survey 2016
www.pwchk.com Chinese Bankers Survey 2016 Executive summary February 2017 Preface We are pleased to present the Chinese Bankers Most bankers in the survey believe that the top Survey 2016 report, prepared jointly by the China priority in addressing risk is "to improve cash Banking Association (CBA) and PwC. Now in its collection, accelerate write-offs and disposal of eighth year, the report keeps track of developments collaterals". While increasing NPL disposal efforts in China’s banking sector from the perspective of a through conventional means such as write-offs, group of bankers. collections and transfers, Chinese banks are also actively exploring a diversified range of alternatives, This year’s survey dug deep into the core issues including NPL securitisation, cooperating with the while maintaining a broad scope. Dr. BA Shusong, big four asset management companies (AMCs), and the project leader, together with the project team, transfer of income beneficial rights. There is a interviewed 15 senior bankers to get their insights section in this report summarising bankers’ views into the sector. Seven of the 15 bankers are at C- on the major challenges regarding disposal of NPLs. suite level (director, vice president or above). These interviews complemented the online survey With China’s economic structural reform at a critical covering 31 provinces in mainland China (excluding juncture, Chinese banks are expected to play a more Hong Kong, Macau and Taiwan). With a total of active role in fulfilling social responsibilities by 1,794 valid responses collected, the survey sampling serving the real economy. With regard to economic process has taken into account participants’ restructuring, most bankers believe that “upgrading geographical regions, grades, types of financial and transforming manufacturing sector, and institution, and if the institution is listed on stock exploration of new markets" brings many exchange(s) or privately held. -
Online Supplement
Clinical characteristics and outcomes of hospitalized patients with COVID-19 treated in Hubei (epicenter) and outside Hubei (non-epicenter): A Nationwide Analysis of China Online Supplement Figure S1. The flowchart of cohort establishment As of February 15th, 2020, a total of 68,500 laboratory-confirmed cases have been identified in China. The largest percentage (82.12%) of cases were diagnosed in Hubei province (56,249 patients). The percentage of cases with severe pneumonia in Hubei province (21.20%) was higher than that outside of Hubei province (10.45%). The mortality was also higher in Hubei province (2.84% vs. 0.56%). (Figure S3). Figure S2 shows the change of mortality rate in Hubei province, regions outside of Hubei province and the overall population who had laboratory-confirmed COVID-19. Figure S1. Trends of daily mortality stratified by the geographic location where patients with COVID-19 were diagnosed and managed. COVID-19: coronavirus disease 2019 1 Figure S2. Severe and deaths cases in China, in Hubei and outside Hubei province as of Feb 15th, 2020 2 Table S1. Hazard ratios for patients treated in Hubei estimated by multivariate proportional hazard Cox model Variables HR LL UL P value Age (continuous) 1.036 1.021 1.05 <0.001 Any comorbidity (yes vs. no) 2.095 1.419 3.093 <0.001 Hubei location (yes vs. no) 1.594 1.054 2.412 0.027 HR: hazards ratio; LL: lower limit of the 95% confidence interval; UL: upper limit of the 95% confidence interval Table S2. Hazard ratios for Wuhan-contacts estimated by multivariate proportional hazard Cox model Variables HR LL UL P value Age (continuous) 1.039 1.025 1.053 <0.001 Any comorbidity (yes vs. -
Wetland City Accreditation Nomination Form
Wetland City Accreditation Nomination Form Instruction for compilers: i. Complete all yellow cells taking into account the specific limits on characters. ii. Further information on the wise use of wetlands and cities is provided in Resolution XI.11 available at: http://www.ramsar.org/document/resolution-xi11-principles-for-the-planning-and- management-of-urban-and-peri-urban-wetlands;and on the Wetland City Accreditation process at: http://www.ramsar.org/document/resolution-xii10-wetland-city-accreditation-of-the-ramsar- convention. iii. Completed Nomination Forms should be sent by the designated National Focal Point for Ramsar Convention matters in the Administrative Authority to: [email protected] iv. Further guidance on how to compile the Nomination Form is available at: http://www.ramsar.org/news/wca-applications 1. Background information 1a. Country People’s Republic of China 1b. Name of city Changde 1c. Geographical coordinates of the 29°16′ N, 111°24′ E city 1d. Administrative and a GIS file providing geo-referenced site boundary vectors and wetland map attribute tables have been attached, and a common GPG map is included in the form below. Wetland City Accreditation Nomination Form June 2017 1 1e. Area of city 1,817,700 ha 1f. Approximate area 190,100 ha of wetlands within Artificial wetlands: 39,900 ha the city boundaries Natural wetlands: 150,200ha 1.g Define the types of Permanent Lakes (O): 91,500 ha wetland present Permanent rivers (M): 52,000 ha within the city Human-made wetlands: 39,900 ha boundaries Permanent freshwater marshes (Ss): 6,700 ha Wetland City Accreditation Nomination Form June 2017 2 2. -
The Efficiency of Primary Health Care Institutions in the Counties
International Journal of Environmental Research and Public Health Article The Efficiency of Primary Health Care Institutions in the Counties of Hunan Province, China: Data from 2009 to 2017 Kaili Zhong 1, Lv Chen 1,*, Sixiang Cheng 1, Hongjun Chen 2 and Fei Long 2 1 Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha 410078, China; [email protected] (K.Z.); [email protected] (S.C.) 2 Department of Primary Health Care, Health Commission of Hunan Province, Changsha 410078, China; [email protected] (H.C.); [email protected] (F.L.) * Correspondence: [email protected] Received: 24 December 2019; Accepted: 7 March 2020; Published: 9 March 2020 Abstract: This study aimed to estimate the efficiency and its influencing factors of Primary Health Care Institutions (PHCIs) in counties in Hunan Province, China, and put forward feasible suggestions for improving the efficiency of PHCIs in Hunan Province. We applied the Input-Oriented Data Envelopment Analysis (DEA) method and the Malmquist Index Model to estimate the efficiency of PHCIs in 86 counties in Hunan Province from 2009 to 2017. Then, the Tobit model was used to estimate the factors that influence the efficiency of PHCIs. Since the implementation of the new health-care reform in 2009, the number of health resources in PHCIs in Hunan Province has increased significantly, but most counties’ PHCIs remain inefficient. The efficiency of PHCIs is mainly affected by the total population, city level, the proportion of health technicians and the proportion of beds, but the changes in per capita GDP have not yet played a significant role in influencing efficiency. -
Clinical Characteristics and Outcomes of Hospitalised Patients with COVID-19 Treated in Hubei
Early View Original article Clinical characteristics and outcomes of hospitalised patients with COVID-19 treated in Hubei (epicenter) and outside Hubei (non- epicenter): A Nationwide Analysis of China Wen-hua Liang, Wei-jie Guan, Cai-chen Li, Yi-min Li, Heng-rui Liang, Yi Zhao, Xiao-qing Liu, Ling Sang, Ru-chong Chen, Chun-li Tang, Tao Wang, Wei Wang, Qi-hua He, Zi-sheng Chen, Sook-San Wong, Mark Zanin, Jun Liu, Xin Xu, Jun Huang, Jian-fu Li, Li-min Ou, Bo Cheng, Shan Xiong, Zhan- hong Xie, Zheng-yi Ni, Yu Hu, Lei Liu, Hong Shan, Chun-liang Lei, Yi-xiang Peng, Li Wei, Yong Liu, Ya-hua Hu, Peng Peng, Jian-ming Wang, Ji-yang Liu, Zhong Chen, Gang Li, Zhi-jian Zheng, Shao-qin Qiu, Jie Luo, Chang-jiang Ye, Shao-yong Zhu, Lin-ling Cheng, Feng Ye, Shi-yue Li, Jin-ping Zheng, Nuo-fu Zhang, Nan-shan Zhong, Jian-xing He Please cite this article as: Liang W-hua, Guan W-jie, Li C-chen, et al. Clinical characteristics and outcomes of hospitalised patients with COVID-19 treated in Hubei (epicenter) and outside Hubei (non-epicenter): A Nationwide Analysis of China. Eur Respir J 2020; in press (https://doi.org/10.1183/13993003.00562-2020). This manuscript has recently been accepted for publication in the European Respiratory Journal. It is published here in its accepted form prior to copyediting and typesetting by our production team. After these production processes are complete and the authors have approved the resulting proofs, the article will move to the latest issue of the ERJ online. -
RP211 Volume 1 Public Disclosure Authorized
RP211 Volume 1 Public Disclosure Authorized Hunan Urban Development Project Consolidated Resettlement Action Plan Public Disclosure Authorized March 2004 Public Disclosure Authorized Mott MacDonald Demeter House Station Road Cambridge GB 1 2RS Tel 01223 463500 Public Disclosure Authorized Fax -~~~~~FF01223 461007 'p k_ Hunan Urban Mott MacDonald Development Project Hunan Provincial Development and Planning Commission Issue and Revision Record Rev Date Originator Checker Approver Description B 29 Feb '04 ML HCL CAP Second Version This document has been prepared for the titled project or named part thereof and should not be relied upon or used for any other project without an independent check being carried out as to its suitability and prior written authority of Mott MacDonald being obtained. Mot MacDonald accepts no responsibility or liability for the consequence of this document the being used for a purpose other than the purposes for which it was commissioned. Any person using or relying on document for such other purpose agrees, and will by such use or reliance be taken to confirm his agreement to indemnify Mott MacDonald for all loss or damage resulting therefron. Mott MacDonald accepts no responsibility or liability for this document to any party other than the person by whom it was commissioned. ComoldaedRedemlen AcbonPlan 206033AYCAM4acb2004 Hunan Urban Mott MacDonald Development Project Hunan Provincial Development and Planning Commission List of Contents 1 INTRODUCTION .................................... 1-1 1.1 Project Background ............................................... 1-1 1.2 Descriptions of the Project ............................................... 1-1 1.3 Project Budget Implementationand Schedule ................................................ 1-13 1.4 Socio-economic Benefits ................................................ 1-13 1.5 Scope of the Land Acquisition and Resettlement Impacts .............................................. -
Hunan WLAN Hotspots 1/15
Hunan WLAN hotspots NO. SSID Location_Name Location_Type Location_Address City Province 1 ChinaNet ChangShaSchool School Hongshan Road, Changsha City, No. 98 ChangSha HuNan 2 ChinaNet Home School School Yuhua District Changsha City camphora Road Home School ChangSha HuNan Changsha Communications Institute of 3 ChinaNet School Changsha City TianXin District South Lake Road ShahuStreet 128 ChangSha HuNan Technology 4 ChinaNet Tianma HuNanSchool apartment School Changsha City Yuelu District ChangSha HuNan 5 ChinaNet Foreign-related economic institute School Lugu Yuelu District Changsha City Park ChangSha HuNan 6 ChinaNet Yellow Airport Airport The town of Changsha yellow room yellow Airport terminal ChangSha HuNan 7 ChinaNet Days Hotel Park Holiday Hotel Zhang Ling Road Changsha lofty days Holiday Park Hotel ChangSha HuNan 8 ChinaNet Xiangquan Great Hotel Hotel 168 North Road, Changsha Shaoshan ChangSha HuNan 9 ChinaNet Lotus Huatian Hotel Hotel Changsha No. 51 Road 176 ChangSha HuNan 10 ChinaNet Tong Cheng Tai Hotel Hotel Shaoshan North Road, Changsha City, No. 159 ChangSha HuNan 11 ChinaNet Court Zidong Huatian Hotel Hotel Furong District Changsha City Ziwei Road Kimcheon Hotel ChangSha HuNan 12 ChinaNet Peace Hall Business building Business Building Huang Xing Zhong Road, Changsha City, No. 88 ChangSha HuNan 13 ChinaNet All computer-feng City Computer Market Changsha City, the liberation of East Road and Chaoyang Road ChangSha HuNan 14 ChinaNet DongTang Telecom Telecom Office Building Changsha ShaoShan Road DongTang Telecom ChangSha HuNan Changsha HuNan Building, 51 provincial communications 15 ChinaNet Provincial Telecom Office Building Telecom Office Building ChangSha HuNan command center 10000 Laguna Road Changsha Mawangdui Silver Crystal City to 16 ChinaNet BOC Hong Kong Crystal City Business Building ChangSha HuNan Hong Kong 17 ChinaNet Million on behalf of Great Hotel Hotel Huang Xing Zhong Road, Changsha City, No. -
Analysis on the Evolution of Urban Land Structure and Economic Driving Force in Changde
www.ccsenet.org/jas Journal of Agricultural Science Vol. 3, No. 1; March 2011 Analysis on the Evolution of Urban Land Structure and Economic Driving Force in Changde Jun XIAO College of Economics and Management, Sichuan Agricultural University Ya’an 625014, China Tel: 86-159-5189-2959 E-mail: [email protected] JIAN-Qiang Li (Corresponding author) College of Economics and Management, Sichuan Agricultural University Ya’an 625014, China Tel: 86-139-8161-6343 E-mail: [email protected] JIANG-Long CHEN Nanjing Institute of Geography & Limnology, Chinese Academy of Sciences, Nanjing 210008, Jiangsu, China Tel: 86-139-1298-1319 E-mail: [email protected] Peng TANG College of Economics and Management, Sichuan Agricultural University Ya’an 625014, China Tel: 86-138-8244-6674 E-mail: [email protected] The research is financed by the National Natural Science Foundation Project of the People’s Republic of China. No. 70873120 Abstract Based on information entropy theory, the dynamically evolutional characteristics of urban land structure were analyzed in the time and space from 2001-2008, in Changde city. In time, the entropy and equilibrium of urban land information increased first and then decreased, with a slight fluctuation in 2007. The overall entropy and equilibrium showed a relatively stable trend, but the degree of dominance and equilibrium were the opposite trend. In space, information entropy, degree of equilibrium and dominance showed significant differences in each designated town of Changde. Further by constructing a multiple regression model to investigate economic driving force of the urban land evolution in Changde city, this paper found that the level of urbanization was the most important economic driver, followed by investment in fixed assets and GDP. -
A12 List of China's City Gas Franchising Zones
附录 A12: 中国城市管道燃气特许经营区收录名单 Appendix A03: List of China's City Gas Franchising Zones • 1 Appendix A12: List of China's City Gas Franchising Zones 附录 A12:中国城市管道燃气特许经营区收录名单 No. of Projects / 项目数:3,404 Statistics Update Date / 统计截止时间:2017.9 Source / 来源:http://www.chinagasmap.com Natural gas project investment in China was relatively simple and easy just 10 CNG)、控股投资者(上级管理机构)和一线运营单位的当前主官经理、公司企业 years ago because of the brand new downstream market. It differs a lot since 所有制类型和联系方式。 then: LNG plants enjoyed seller market before, while a LNG plant investor today will find himself soon fighting with over 300 LNG plants for buyers; West East 这套名录的作用 Gas Pipeline 1 enjoyed virgin markets alongside its paving route in 2002, while today's Xin-Zhe-Yue Pipeline Network investor has to plan its route within territory 1. 在基础数据收集验证层面为您的专业信息团队节省 2,500 小时之工作量; of a couple of competing pipelines; In the past, city gas investors could choose to 2. 使城市燃气项目投资者了解当前特许区域最新分布、其他燃气公司的控股势力范 sign golden areas with best sales potential and easy access to PNG supply, while 围;结合中国 LNG 项目名录和中国 CNG 项目名录时,投资者更易于选择新项 today's investors have to turn their sights to areas where sales potential is limited 目区域或谋划收购对象; ...Obviously, today's investors have to consider more to ensure right decision 3. 使 LNG 和 LNG 生产商掌握采购商的最新布局,提前为充分市场竞争做准备; making in a much complicated gas market. China Natural Gas Map's associated 4. 便于 L/CNG 加气站投资者了解市场进入壁垒,并在此基础上谨慎规划选址; project directories provide readers a fundamental analysis tool to make their 5. 结合中国天然气管道名录时,长输管线项目的投资者可根据竞争性供气管道当前 decisions. With a completed idea about venders, buyers and competitive projects, 格局和下游用户的分布,对管道路线和分输口建立初步规划框架。 analyst would be able to shape a better market model when planning a new investment or marketing program.