Federal Register/Vol. 83, No. 248/Friday, December 28, 2018
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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. -
Monitoring Amur Leopards and Tigers in Northeast China
Monitoring Amur Leopards and Tigers in Northeast China An Amur tiger investigates a camera trap in Jilin Province, China, May 2017. Photo © WCS China FINAL REPORT TO THE WILDCATS CONSERVATION ALLIANCE (WCCA) APRIL 2018 Grant Award: £18,746 Grant Period: January 1, 2017 - December 31, 2017 Report Period: January 1, 2017 - December 31, 2017 For more information please contact: Aimin Wang Libby Del Greco Director Senior Development Officer WCS China WCS Partners in Field Conservation Wildlife Conservation Society Wildlife Conservation Society Room 2-1101, Tower 2 2300 Southern Boulevard Ronghua Shijia, No. 29 Xiaoyingbeilu, Bronx, NY 10460 Chaoyang District, Beijing 100101 [email protected] [email protected] Tel: 718 741 1615 Tel: +86 010 84867735 Executive Summary The Wildlife Conservation Society’s (WCS) China Program has, for years, played an important role in conservation of Amur leopards and tigers in northeast China. In 2017, with support from the WildCats Conservation Alliance (WCCA), we continued our monitoring program by deploying 50 pairs of camera traps in Hunchun Nature Reserve (HNR) to cover approximately 450 km2 of key habitat for Amur tigers and leopards. The camera trap monitoring period covered about 25,000 trap nights and resulted in about 50,000 images and videos of wildlife and human activity, of which 700 images and videos were of 10 leopards and 13 tigers. Seven of these leopards and eight of these tigers were new to our camera traps. By combining data with partners collecting data across the entirety of the park, we identified 20 different leopard individuals (9 males, 5 females, and 6 of unknown sex), and 18 different tiger individuals (5 males, 5 females, and 8 of unknown sex) in HNR. -
Expressways, GDP, and the Environment: the Case of China
Expressways, GDP, and the Environment: The Case of China Guojun He Hong Kong University of Science and Technology [email protected] Yang Xie University of California, Riverside [email protected] Bing Zhang Nanjing University [email protected] We are indebted to the Editor in Chief, Andrew Foster, and the anonymous referee for their valuable suggestions. We thank Hunt Allcott, Michael Anderson, Richard Arnott, Chong-En Bai, Michael Bates, David Brady, Nathaniel Baum-Snow, Cyndi Berck, Peter Berck, Judd Boomhower, David Brady, Jimmy Chan, Gordon Dahl, Anil Deolalikar, Alain de Janvry, Ozkan Eren, Thibault Fally, Jingting Fan, Fred Finan, Shihe Fu, Joshua Graff Zivin, Michael Greenstone, Jie He, Steven Helfand, Sarojini Hirshleifer, Wei Huang, Ruixue Jia, Larry Karp, Bree Lang, Matt Lang, Bryan Leonard, Weijia Li, Jeremy Magruder, Aprajit Mahajan, John Matsusaka, Daniel McMillen, Helene Ollivier, Albert Park, Martino Pelli, Jeffrey Perloff, Obie Porteous, Han Qi, David Rapson, Elisabeth Sadoulet, Ruoyao Shi, Leo Simon, Michael Song, Kenneth Small, Qu Tang, Itai Trilnick, Reed Walker, Shaoda Wang, Brian Wright, Yanhui Wu, Yiqing Xu, Jia Yan, and participants in seminars and workshops at CU Boulder, CUHK, Fudan University, HKBU, HKUST, Peking University, Shanghai Jiao Tong University, Singapore Management University, Tsinghua University, UC Berkeley, UC Riverside, Université de Sherbrooke, and USC and the 2017 AERE Summer Conference, CAERE Annual Conference, CES Annual Conference, EAERE Annual Conference, Econometric Society Asian Meeting, and Fudan–UC Social Science and China Studies Young Scholar Conference for their valuable comments. Yuhang Pan, Xiaoxiao Shen, Chun Wai Cheung, Ziteng Lei, Tingjun Man, and Jing Yang offered excellent research assistance. -
Characteristics of Spatial Connection Based on Intercity Passenger Traffic Flow in Harbin- Changchun Urban Agglomeration, China Research Paper
Guo, R.; Wu, T.; Wu, X.C. Characteristics of Spatial Connection Based on Intercity Passenger Traffic Flow in Harbin- Changchun Urban Agglomeration, China Research Paper Characteristics of Spatial Connection Based on Intercity Passenger Traffic Flow in Harbin-Changchun Urban Agglomeration, China Rong Guo, School of Architecture,Harbin Institute of Technology,Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology,Ministry of Industry and Information Technology,Harbin 150006,China Tong Wu, School of Architecture,Harbin Institute of Technology,Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology,Ministry of Industry and Information Technology,Harbin 150006,China Xiaochen Wu, School of Architecture,Harbin Institute of Technology,Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology,Ministry of Industry and Information Technology,Harbin 150006,China Abstract With the continuous improvement of transportation facilities and information networks, the obstruction of distance in geographic space has gradually weakened, and the hotspots of urban geography research have gradually changed from the previous city hierarchy to the characteristics of urban connections and networks. As the main carrier and manifestation of elements, mobility such as people and material, traffic flow is of great significance for understanding the characteristics of spatial connection. In this paper, Harbin-Changchun agglomeration proposed by China's New Urbanization Plan (2014-2020) is taken as a research object. With the data of intercity passenger traffic flow including highway and railway passenger trips between 73 county-level spatial units in the research area, a traffic flow model is constructed to measure the intensity of spatial connection. -
A Re-Examination of the Age of Hunchun Flora, Jilin Province, China
Acta Palaeobot. 43(1): 3–8, 2003 A re-examination of the age of Hunchun Flora, Jilin Province, China ALBERT ABLAEV1, CHENG-SEN LI2 and YU-FEI WANG2 1Pacific Oceanological Institute, Russian Academy of Sciences, Vladivostok 41, 690041 Russia; e-mail: [email protected] 2Department of Palaeobotany, Institute of Botany, Chinese Academy of Sciences, Xiangshan, Beijing 100093, P.R. China; e-mail: [email protected] & [email protected] Received 4 April 2002; accepted for publication 31 March 2003 ABSTRACT. The Pritumangan Basin in East Asia is very rich in commercial coals. It occupies parts of the territories of China, North Korea and Far East Russia. The sequence of sediments with coals in Khasan, the Russian part of the basin, ranges in age from Eocene (Nazimov Formation) to Miocene (Khasan Formation). The coal bearing strata of the basin in Onsong and Yusong of Korea are assigned to Eocene while in Saeboyl they are of Miocene age. The floral analysis of all the three parts of the basin suggests that the age of the coal-bearing Hunchun Formation at Hunchun in the Chinese part of the basin is most probably of Middle Eocene age. In this paper, also newly recovered specimens of Alnus shestakovae Ablaev are described. KEY WORDS: fossil leaves, Hunchun flora, Eocene, Pritumangan basin, China, North Korea, Far East Russia INTRODUCTION The Pritumangan Basin is the biggest coal- to the data provided by local geologists, the total thick- bearing continental deposit of East Asia. It ness of terrigenous-coal deposits of the Hunchun For- mation developed here is 600 m. -
Democratic People's Republic of Korea
DEMOCRATIC PEOPLE'S Mingyuegou Tumen Yanji Hunchun Onsong REPUBLIC OF KOREA RUSSIAN FEDERATION g n ia J Songjiang Chongsong ao rd Helong Kyonghung Kha Meihekou E sa Unggi n Fusong Erdaobaihe Hoeryong Quanyang Musan Najin Songjianghe Tumen Baishan Qingyuan Linjiang Samjiyon HAMGYONG- C Tonghua h N 'o BUKTO K a ng Paegam y na jin CHINA on m gs lu on a g Y Chasong Huch'ang Sinp'a Hyesan Myongch'on YANGGANG-DO Paek-am Manp'o Kapsan Nangnim Sindong- Kilchu nodongjagu Wiwon Kanggye CHAGANG-GO P'ungsan Honggul-li SEA OF Kuandian Ch'osan JAPAN Sup'ung Reservoir Ch'onch'on Kimch'aek Kop'ung Ch'angsong Pujon Koin-ni Changjin u Sakchu Tanch'on al Pukchin- Y Nodongjagu Pukch'ong Dandong Taegwam HAMGYONG- Iwon Uiju Huich'on Sinuiju NAMDO P'YONGAN-BUKTO Sinp'o Hyangsan Sinch'ang Kusong T'aech'on dong Tae Tonghae Hamhung Yongamp'o Kujang-up Sonch'on Yongbyon Pakch'on P'YONGAN- Chongp'yong Hungnam Yodok Chongju Kaech'on Tongjoson Man Anju NAMDO Yonghung Sunch'on Kowon P'yong-song Munch'on DEM. PEOPLE'S Sojoson Man Yangdog-up P'yongwon Wonsan REP. OF KOREA Chungsan-up P'yongyang Majon-ni I S Anbyon Onch'on - P'YONGYANG- T'ongch'on 'O Korea P SI n M Koksan i KANGWON-DO A Songnim j N m Hoeyang Bay Namp'o I Kuum-ni (Kosong) HWANGHAR- Sep'o Anak Sariwon BUKTO C Sohung h Ich'on HWANGHAE- ih Kumsong a P'yonggang -r National capital Changyon NAMDO P'yongsan i Kumhwa Provincial capital - Ch'orwon Monggump'o-r T'aet'an G n Sokch'o i Haeju N a Town, village SO h KAE k Ongjin SI u P Major airport Kaesong Ch'unch'on Sogang-ni Munsan International boundary Kangnung Demarcation Line Seoul REPUBLIC OF Provincial boundary KOREA Expressway YELLOW SEA Inch'on H a Main road n Wonju Secondary road Suwon Railroad 0 25 50 75 100 km The boundaries and names shown and the designations Ch'onan used on this map do not imply official endorsement or Sosan acceptance by the United Nations. -
Climate Change Impact Assessment on Maize Production in Jilin, China
Climate change impact assessment on maize production in Jilin, China Meng Wang, Wei Ye and Yinpeng Li 1 Backgrounds APN CAPaBLE project with focus on integrated system development for food security assessment Bio-physical & Economic Uncertainties: e.g. GCMs, CO2 emission scenarios Adaptation measures (cross multi-scales) 2 SimCLIM model Greenhouse gas MAGICC emission scenarios Data Global Climate Projection Scenario selections Climate and GCM pattern import Local Climate toolbox average, variability, extremes IPCC CMIP (GCMs) (present and future) USER -Synthetic changes - GCM patterns “Plug-in” Models Biophysical Impacts on: Agriculture, Coastal, - Land data Human Health, Water - Other spatial data Impact Model 3 Case Study: Jilin Province 4 Climate Scenario Baseline Climate CRU global climatology dataset, 1961-1990 (New, 2000) Climate change scenarios • Pattern scaling (Santer, 1990; Mitchell, 2003) • 20 GCMs change patterns (Covey et al., 2003) • 6 SRES emission scenarios (IPCC, 2000) 5 DSSAT model – to simulate maize growth CERES-Maize model (Jones, 1986) • Site-based, daily time step • Input – weather, soil, cultivating strategies, cultivar parameters • Output – yield, phenological parameters (e.g. growing season, growing phase date), etc. 6 DSSAT – weather generator SIMMETEO (Geng & Auburn, 1986) • Input – monthly Tmax, Tmin, Rs, Prec. • Random seed sensitive 9.5 Ensemble 1 (b) 8.5 Ensemble 2 ) Ensemble 3 -1 7.5 Ensemble 4 6.5 Yield (t ha Yield (t 5.5 4.5 3.5 0 20 40 60 80 100 120 Random seed So, the average result of 100-seed -
Heilongjiang Road Development II Project (Yichun-Nenjiang)
Technical Assistance Consultant’s Report Project Number: TA 7117 – PRC October 2009 People’s Republic of China: Heilongjiang Road Development II Project (Yichun-Nenjiang) FINAL REPORT (Volume II of IV) Submitted by: H & J, INC. Beijing International Center, Tower 3, Suite 1707, Beijing 100026 US Headquarters: 6265 Sheridan Drive, Suite 212, Buffalo, NY 14221 In association with WINLOT No 11 An Wai Avenue, Huafu Garden B-503, Beijing 100011 This consultant’s report does not necessarily reflect the views of ADB or the Government concerned, ADB and the Government cannot be held liable for its contents. All views expressed herein may not be incorporated into the proposed project’s design. Asian Development Bank Heilongjiang Road Development II (TA 7117 – PRC) Final Report Supplementary Appendix A Financial Analysis and Projections_SF1 S App A - 1 Heilongjiang Road Development II (TA 7117 – PRC) Final Report SUPPLEMENTARY APPENDIX SF1 FINANCIAL ANALYSIS AND PROJECTIONS A. Introduction 1. Financial projections and analysis have been prepared in accordance with the 2005 edition of the Guidelines for the Financial Governance and Management of Investment Projects Financed by the Asian Development Bank. The Guidelines cover both revenue earning and non revenue earning projects. Project roads include expressways, Class I and Class II roads. All will be built by the Heilongjiang Provincial Communications Department (HPCD). When the project started it was assumed that all project roads would be revenue earning. It was then discovered that national guidance was that Class 2 roads should be toll free. The ADB agreed that the DFR should concentrate on the revenue earning Expressway and Class I roads, 2. -
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 .................. -
Types and Chronology of Bronze Ornaments for Girdles of the Mohe-Nuzhen Tradition. FULLTEXT
Title Types and Chronology of Bronze Ornaments for Girdles of the Mohe-Nuzhen Tradition Author(s) Wang, Peixin Citation 北海道大学総合博物館研究報告, 4, 1-8 Issue Date 2008-03-31 Doc URL http://hdl.handle.net/2115/34688 Type bulletin (article) Additional Information There are other files related to this item in HUSCAP. Check the above URL. File Information 本文.pdf (FULLTEXT) Instructions for use Hokkaido University Collection of Scholarly and Academic Papers : HUSCAP 北海道大学総合博物館研究報告 第 4 号,2008 年 3 月,1-8 頁 Bulletin of the Hokkaido University Museum No. 4, March 2008, pp. 1-8 Types and Chronology of Bronze Ornaments for Girdles of the Mohe-Nuzhen Tradition Peixin WANG1* Faculty of Literature of Jilin University, Qianjin Road 2699, Changchun City, Jilin Province, P. R. China, 130012 Abstract Bronze ornaments for girdles of the Mohe-Nuzhen tradition unearthed from sites at Mohe, Bohai, and Nuzhen can be classified into two phases. One phase overlaps both the Mohe and early Bohai periods. These bronze ornaments for girdles of the Sumo Mohe-Bohai tradition are mostly distributed in the valleys of Songhuajiang and Mudanjiang. The other phase is called the Nuzhen period, when bronze ornaments for girdles belonged to the Heishui Mohe-Bohai tradition, and are frequently seen in the Heilongjiang Valley. Keywords: Mohe, Nuzhen, bronze ornaments for girdles, archaeological research 1. Archaeological Discoveries Bronze ornaments for girdles (bronze, card-shaped, and attached on waistbands) of the Mohe-Nuzhen tradition are rectangular or round artifacts with various decoration patterns hollowed out on the surface and 2 to 4 raised fasteners on the back. -
Intestinal Parasite Infections Among Inhabitants in Yanbian Prefecture, Jilin Province, China
ISSN (Print) 0023-4001 ISSN (Online) 1738-0006 Korean J Parasitol Vol. 55, No. 5: 579-582, October 2017 ▣ BRIEF COMMUNICATION https://doi.org/10.3347/kjp.2017.55.5.579 Intestinal Parasite Infections among Inhabitants in Yanbian Prefecture, Jilin Province, China Myoung-Ro Lee1, Hee-Eun Shin1, Byung-Suk Chung1, Sang-Eun Lee1, Jung-Won Ju1, Liji Xu2, Chen Long Nan2, 1 1, Mi-Yeoun Park , Shin-Hyeong Cho * 1Division of Vectors and Parasitic Diseases, Centers for Disease Control and Prevention, Osong 28159, Korea; 2Yanbian Center for Disease Control and Prevention, Yanbian Prefecture, China Abstract: To investigate the prevalence of intestinal parasite infections in Yanbian Prefecture, Jilin Province, China, epide- miological surveys were conducted on a collaboration basis between the Korean Centers for Disease Control and Pre- vention and the Yanbian Center for Disease Control and Prevention. A total of 8,396 (males 3,737 and females 4,659) stool samples were collected from 8 localities and examined with the formalin-ether sedimentation technique, and addi- tionally examined with the cellotape anal swab to detect Enterobius vermicularis eggs. The overall rate of intestinal para- sites was 1.57%. The prevalence of Ascaris lumbricoides was the highest (0.80%), followed by Entamoeba spp. (0.23%), heterophyid flukes (0.15%), Clonorchis sinensis (0.08%), Enterobius vermicularis (0.07%), hookworms (0.06%), Tricho- strongylus spp. (0.06%), Giardia lamblia (0.04%), Paragonimus spp. (0.02%), Diphyllobothrium spp. (0.02%), Trichuris trichiura (0.02%). The prevalence by sex was similar, 1.58% (n= 59) in males and 1.57% (n= 73) in females. -
Environmental Assessment Executive Summary
Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized China: Jilin-Tumen-Hunchun Project Railway Environmental Assessment Assessment Environmental Executive Summary March 2011 2011 March E2712 v1 v1 E2712 Table of Content 1. INTRODUCTION ....................................................................................................................................... 3 Background .................................................................................................................................................. 3 Project Development Objective.................................................................Error! Bookmark not defined. Environmental Assessment Process and Legal Framework.................................................................... 3 Project Description...................................................................................................................................... 4 2. ANALYSIS OF ALTERNATIVES...........................................................Error! Bookmark not defined. 3. ENVIRONMENTAL SETTING ................................................................................................................ 6 Physical Setting............................................................................................................................................ 6 Sensitive Ecosystems...................................................................................................................................