A Closer Look at China's Lgfvs: Jilin
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Analyzing Ecological Vulnerability and Vegetation Phenology Response Using NDVI Time Series Data and the BFAST Algorithm
remote sensing Article Analyzing Ecological Vulnerability and Vegetation Phenology Response Using NDVI Time Series Data and the BFAST Algorithm Jiani Ma 1, Chao Zhang 1,2,*, Hao Guo 1, Wanling Chen 1, Wenju Yun 2,3, Lulu Gao 1 and Huan Wang 1 1 College of Land Science and Technology, China Agricultural University, Beijing 100083, China; [email protected] (J.M.); [email protected] (H.G.); [email protected] (W.C.); [email protected] (L.G.); [email protected] (H.W.) 2 Key Laboratory for Agricultural Land Quality Monitoring and Control, Ministry of Natural Resources, Beijing 100035, China; [email protected] 3 Land Consolidation and Rehabilitation Center, Ministry of Natural Resources of the People’s Republic of China, Beijing 100035, China * Correspondence: [email protected] Received: 7 September 2020; Accepted: 13 October 2020; Published: 15 October 2020 Abstract: Identifying ecologically vulnerable areas and understanding the responses of phenology to negative changes in vegetation growth are important bases for ecological restoration. However, identifying ecologically vulnerable areas is difficult because it requires high spatial resolution and dense temporal resolution data over a long time period. In this study, a novel method is presented to identify ecologically vulnerable areas based on the normalized difference vegetation index (NDVI) time series from MOD09A1. Here, ecologically vulnerable areas are defined as those that experienced negative changes frequently and greatly in vegetation growth after the disturbances during 2000–2018. The number and magnitude of negative changes detected by the Breaks for Additive Season and Trend (BFAST) algorithm based on the NDVI time-series data were combined to identify ecologically vulnerable areas. -
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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. -
The First Real-Estate Development by Japanese Developers in Changchun, Jilin Province, China Marubeni Coporation and Mitsubishi Jisho Residence Co., Ltd
July 18, 2013 Marubeni Corporation Mitsubishi Jisho Residence Co., Ltd. The First Real-Estate Development by Japanese Developers in Changchun, Jilin Province, China Marubeni Coporation and Mitsubishi Jisho Residence Co., Ltd. set off the Joint Development –“Changchun Jingyue Project (Tentative)” <Perspective of the project> Marubeni Corporation (“Marubeni”) and Mitsubishi Jisho Residence Co., Ltd. (“Mitsubishi Jisho Residence”), as the first Japanese developers, plan to implement a real-estate development project with Jilin Weifeng Industry Co., Ltd. (“Weifeng”), a local Chinese developer, in Changchun, China. This project, as our first project in Changchun, with an area of 130,000 square meters, is located in Changchun Jingyue National High-tech Industrial Development Zone (“Jingyue DZ”), concentrating on Town House and Residential. The Project Company, Changchun Top Chance Property Development Co., Ltd. (“Changchun Top Chance”) owned by Marubeni (40%), Weifeng (35%) and Mitsubishi Jisho Residence (25%), has started the construction for the release this coming fall. Changchun is the capital of Jilin Province, also a core city in the northeastern part of China, with a population of 7,620,000. It is administered as one of 15 sub-provincial cities which are independent and equivalent to provinces. Having a solid industrial basis including automobile manufacturing as typified by FAW (First Automotive Works) Group, along with manufacturing transportation facilities and processing agricultural products, Changchun is continuing double digit economic growth, which is higher than the national average. Jingyue DZ is a national-level development zone approved by the State Council in August, 2012, with an area of 479 square kilometers, of which about half of the area, 243 square kilometers, consists of forest and a lake. -
Remote Sensing Analysis of the Status of the Beijing-Hangzhou Grand Canal
REMOTE SENSING ANALYSIS OF THE STATUS OF THE BEIJING-HANGZHOU GRAND CANAL B. Deng H. Guo , C. Wang , Y. Nie, The Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China - [email protected] Commission VI, WG V/2 KEY WORDS: Image interpretation, Image understanding, Feature detection, Archaeology ABSTRACT: Remote sensing began with the use of aerial photography and is acknowledged as a valuable tool for viewing, analyzing, characterizing, and making decisions about our environment. The Grand Canal of China is the longest ancient canal in the world and recently approved as the Key National Relics-preservation Unit. In our work multi-source and multi-temporal remote sensing data, including the aerial photographs taken half a century ago and the recently acquired SPOT5 multispectral images and the RADARSAT-1 images are collected. Through a comparative and complementary analysis of the data sets, some findings are given. The general characteristics of the canal course and the canal cities are also described, which provides important information for the making plans of the Grand Canal preservation. 1. INTRODUCTION can provide radar images at the spatial resolution of 1 meter. The fourth advantage is the high spectral resolution. Now the Remote sensing, in the broadest sense, is the short or large-scale hyperspectral sensor can acquire image at hundreds of channels acquisition of information of an object or phenomenon, by the simultaneously, which can grasp the small changes of use of either recording or real-time sensing device(s) that is not reflectance and make possible the discrimination of some in physical or intimate contact with the object (such as by way targets. -
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 -
Evolution of the Process of Urban Spatial and Temporal Patterns and Its Influencing Factors in Northeast China
Case Study Evolution of the Process of Urban Spatial and Temporal Patterns and its Influencing Factors in Northeast China Jiawen Xu1; Jianjun Zhao2; Hongyan Zhang3; and Xiaoyi Guo4 Abstract: The evolution of urban temporal and spatial patterns in Northeast China is complicated. In order to study the urbanization process in this area, explore the spatial and temporal laws of urban development in Northeast China, and find the main influencing fac- tors affecting urban development in Northeast China, DMSP/OLS images are used as data sources. Urban built-up areas in Northeast China from 1993 to 2013 are extracted and temporal and spatial patterns of urban development are studied. Combining the economic, population, industrial structure, ecological and other statistical data, a geographical detector is applied to study the main influencing factors of urban development in Northeast China. According to a selection of 10 typical cities, the annual urban expansion speed and the urbanization intensity index are calculated to quantitatively analyze the development of typical cities. The present study indi- cates that the urbanization process in Northeast China was slow during 1995–1996. In fact, except for Daqing, the other typical cities developed slowly before 2003. While the urbanization process accelerated after 2003, it reached to its maximum rate in 2010. Moreover, it is observed that from 1993 to 2013, centers of cities gradually moved to their regional centers. On the other hand, it is concluded that from 2004 to 2013, the regional gross domestic product (GDP), GDP of the secondary industry, gross industrial product, GDP of the tertiary industry and the total investment in fixed assets were main indicators of the urbanization that affected change in the urban built- up area in Northeast China. -
Trends in China Facts from the Renewables in Cities 2021 Global Status Report
Embargoed until: 09:30 CET Paris Time – 18 March 2021 Trends in China Facts from the Renewables in Cities 2021 Global Status Report Key Renewable Energy Takeaways in 2020 from China • China is the greatest market in the world for solar PV1, with many of these developments taking place in urban areas and helping to decarbonise energy use in buildings; however, further efforts are needed to increase the share of renewables across sectors, including heating and cooling, but also power – especially in light of the expansion of e-mobility2. • The electrification of all transport modes has been pioneered in Chinese cities; they are visibly committed to the national EV ambition, providing complementary municipal-level subsidies (in addition to national incentives) for battery electric and fuel cell electric vehicles. • China is the second-largest producer of district heating (DH) in the world, and although these systems rely almost entirely on fossil fuels, some cities have been increasing solar thermal and geothermal heating capacity and use in their DH networks. Brand new data shows • Only 25 cities had renewable energy targets and/or policies from a global total of over 1,300 cities). This covers 321 million people, 38% of the urban population in China • On a global scale, Chinese cities are lagging behind on setting net-zero3 targets: some notable exceptions exist: 6 cities were developing net-zero targets in 2020, and Dalian set a target to achieve net-zero by 2050. Rizhao has had a target for climate neutrality by 2050 since 2008. Renewable Energy Developments in Chinese Cities City renewable energy commitments and policies • Most city-level targets and actions are in line with (and often part of the implementation of) national-level policy, including China’s commitment to reach carbon neutrality by 2060. -
This Is Northeast China Report Categories: Market Development Reports Approved By: Roseanne Freese Prepared By: Roseanne Freese
THIS REPORT CONTAINS ASSESSMENTS OF COMMODITY AND TRADE ISSUES MADE BY USDA STAFF AND NOT NECESSARILY STATEMENTS OF OFFICIAL U.S. GOVERNMENT POLICY Voluntary - Public Date: 12/30/2016 GAIN Report Number: SH0002 China - Peoples Republic of Post: Shenyang This is Northeast China Report Categories: Market Development Reports Approved By: Roseanne Freese Prepared By: Roseanne Freese Report Highlights: Home to winter sports, ski resorts, and ancient Manchurian towns, Dongbei or Northeastern China is home to 110 million people. With a down-home friendliness resonant of the U.S. Midwest, Dongbei’s denizens are the largest buyer of U.S. soybeans and are China’s largest consumers of beef and lamb. Dongbei companies, processors and distributors are looking for U.S. products. Dongbei importers are seeking consumer-ready products such as red wine, sports beverages, and chocolate. Processors and distributors are looking for U.S. hardwoods, potato starch, and aquatic products. Liaoning Province is also set to open China’s seventh free trade zone in 2018. If selling to Dongbei interests you, read on! General Information: This report provides trends, statistics, and recommendations for selling to Northeast China, a market of 110 million people. 1 This is Northeast China: Come See and Come Sell! Home to winter sports, ski resorts, and ancient Manchurian towns, Dongbei or Northeastern China is home to 110 million people. With a down-home friendliness resonant of the U.S. Midwest, Dongbei’s denizens are the largest buyer of U.S. soybeans and are China’s largest consumers of beef and lamb. Dongbei companies, processors and distributors are looking for U.S. -
China-Singapore Jilin Food Zone Project Signed in Beijing
About Home News Topic Leadership Government Investment Travel Living Community Jilin Home>Topic>Special Report>The Eighth Northeast Asia Expo T T T Special Report China-Singapore Jilin Food Zone project signed in Beijing read_image.jpg Travel Guide On the afternoon of September 6, the China-Singapore Jilin Food Zone project signing ceremony was held in the Great Hall of the People in Beijing. Premier Wen Jiabao and Singapore Prime Minister Lee Hsien Loong attended the signing ceremony. Governor Wang Rulin and President of Singapore Temasek Holdings Kohl signed the Framework Agreement on Cooperation in Multiple Fields. Leaders from Chinese Ministry of Foreign Affairs, the Development and Reform Comm ission, the Ministry of Commerce, the Ministry of Housing and Urban and Rural Const ruction, and Singapore Ministry of Foreign Affairs, Ministry of National Development Cooperation , Ministry of Trade and Industry and other ministries and other leaders from the minis Laws & tries of the two countries, as well as Chief Executive of Singapore Temasek Holdings Regulations Ho Ching, Chairman of Singapore Starbridge Holdings (Private) Limited Wong Kan Se Business Help ng, Singapore Temasek Holdings Consultant and Keppel Group Chairman Lee Boon Ya Festival Exhibition ng, Singapore Starbridge Holdings (Private) Limited CE0 Chong Phit Lian and other Si ngapore enterprise executives attended the ceremony. According to the Framework Agreement on Cooperation in Multiple Fields, China and Singapore will achieve comprehensive cooperation in various fields -
Low Carbon Development Roadmap for Jilin City Jilin for Roadmap Development Carbon Low Roadmap for Jilin City
Low Carbon Development Low Carbon Development Roadmap for Jilin City Roadmap for Jilin City Chatham House, Chinese Academy of Social Sciences, Energy Research Institute, Jilin University, E3G March 2010 Chatham House, 10 St James Square, London SW1Y 4LE T: +44 (0)20 7957 5700 E: [email protected] F: +44 (0)20 7957 5710 www.chathamhouse.org.uk Charity Registration Number: 208223 Low Carbon Development Roadmap for Jilin City Chatham House, Chinese Academy of Social Sciences, Energy Research Institute, Jilin University, E3G March 2010 © Royal Institute of International Affairs, 2010 Chatham House (the Royal Institute of International Affairs) is an independent body which promotes the rigorous study of international questions and does not express opinion of its own. The opinions expressed in this publication are the responsibility of the authors. All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical including photocopying, recording or any information storage or retrieval system, without the prior written permission of the copyright holder. Please direct all enquiries to the publishers. Chatham House 10 St James’s Square London, SW1Y 4LE T: +44 (0) 20 7957 5700 F: +44 (0) 20 7957 5710 www.chathamhouse.org.uk Charity Registration No. 208223 ISBN 978 1 86203 230 9 A catalogue record for this title is available from the British Library. Cover image: factory on the Songhua River, Jilin. Reproduced with kind permission from original photo, © Christian Als, -
The Spatial Differentiation of the Suitability of Ice-Snow Tourist Destinations Based on a Comprehensive Evaluation Model in China
sustainability Article The Spatial Differentiation of the Suitability of Ice-Snow Tourist Destinations Based on a Comprehensive Evaluation Model in China Jun Yang 1,*, Ruimeng Yang 1, Jing Sun 1, Tai Huang 2,3,* and Quansheng Ge 3 1 Liaoning Key Laboratory of Physical Geography and Geomatics, Liaoning Normal University, Dalian 116029, China; [email protected] (R.Y.); [email protected] (J.S.) 2 Department of Tourism Management, Soochow University, Suzhou 215123, China 3 Key Laboratory of Land Surface Patterns and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China; [email protected] * Correspondence: [email protected] (J.Y.); [email protected] (T.H.) Academic Editors: Jun Liu, Gang Liu and This Rutishauser Received: 1 February 2017; Accepted: 4 May 2017; Published: 8 May 2017 Abstract: Ice, snow, and rime are wonders of the cold season in an alpine climate zone and climate landscape. With its pure, spectacular, and magical features, these regions attract numerous tourists. Ice and snow landscapes can provide not only visually-stimulating experiences for people, but also opportunities for outdoor play and movement. In China, ice and snow tourism is a new type of recreation; however, the establishment of snow and ice in relation to the suitability of the surrounding has not been clearly expressed. Based on multi-source data, such as tourism, weather, and traffic data, this paper employs the Delphi-analytic hierarchy process (AHP) evaluation method and a spatial analysis method to study the spatial differences of snow and ice tourism suitability in China. China’s ice and snow tourism is located in the latitude from 35◦N to 53.33◦N and latitude 41.5◦N to 45◦N and longitude 82◦E to 90◦E, with the main focus on latitude and terrain factors.