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Spatiotemporal Changes and the Driving Forces of Sloping Farmland Areas in the Sichuan Region
sustainability Article Spatiotemporal Changes and the Driving Forces of Sloping Farmland Areas in the Sichuan Region Meijia Xiao 1 , Qingwen Zhang 1,*, Liqin Qu 2, Hafiz Athar Hussain 1 , Yuequn Dong 1 and Li Zheng 1 1 Agricultural Clean Watershed Research Group, Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences/Key Laboratory of Agro-Environment, Ministry of Agriculture, Beijing 100081, China; [email protected] (M.X.); [email protected] (H.A.H.); [email protected] (Y.D.); [email protected] (L.Z.) 2 State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100048, China; [email protected] * Correspondence: [email protected]; Tel.: +86-10-82106031 Received: 12 December 2018; Accepted: 31 January 2019; Published: 11 February 2019 Abstract: Sloping farmland is an essential type of the farmland resource in China. In the Sichuan province, livelihood security and social development are particularly sensitive to changes in the sloping farmland, due to the region’s large portion of hilly territory and its over-dense population. In this study, we focused on spatiotemporal change of the sloping farmland and its driving forces in the Sichuan province. Sloping farmland areas were extracted from geographic data from digital elevation model (DEM) and land use maps, and the driving forces of the spatiotemporal change were analyzed using a principal component analysis (PCA). The results indicated that, from 2000 to 2015, sloping farmland decreased by 3263 km2 in the Sichuan province. The area of gently sloping farmland (<10◦) decreased dramatically by 1467 km2, especially in the capital city, Chengdu, and its surrounding areas. -
World Bank Document
CONFORMED COPY Public Disclosure Authorized LOAN NUMBER 7616-CN Loan Agreement Public Disclosure Authorized (Wenchuan Earthquake Recovery Project) between PEOPLE’S REPUBLIC OF CHINA Public Disclosure Authorized and INTERNATIONAL BANK FOR RECONSTRUCTION AND DEVELOPMENT Dated March 20, 2009 Public Disclosure Authorized LOAN AGREEMENT AGREEMENT dated March 20, 2009, between PEOPLE’S REPUBLIC OF CHINA (“Borrower”) and INTERNATIONAL BANK FOR RECONSTRUCTION AND DEVELOPMENT (“Bank”). The Borrower and the Bank hereby agree as follows: ARTICLE I – GENERAL CONDITIONS; DEFINITIONS 1.01. The General Conditions (as defined in the Appendix to this Agreement) constitute an integral part of this Agreement. 1.02. Unless the context requires otherwise, the capitalized terms used in the Loan Agreement have the meanings ascribed to them in the General Conditions or in the Appendix to this Agreement. ARTICLE II – LOAN 2.01. The Bank agrees to lend to the Borrower, on the terms and conditions set forth or referred to in this Agreement, an amount equal to seven hundred ten million Dollars ($710,000,000), as such amount may be converted from time to time through a Currency Conversion in accordance with the provisions of Section 2.07 of this Agreement (“Loan”), to assist in financing the project described in Schedule 1 to this Agreement (“Project”). 2.02. The Borrower may withdraw the proceeds of the Loan in accordance with Section IV of Schedule 2 to this Agreement. 2.03. The Front-end Fee payable by the Borrower shall be equal to one quarter of one percent (0.25%) of the Loan amount. The Borrower shall pay the Front-end Fee not later than sixty (60) days after the Effective Date. -
SMIP13 Seminar Proceedings OBSERVATIONS from the APRIL 20, 2013 LUSHAN COUNTY, YA'an CITY, SICHUAN PROVINCE, CHINA EARTHQUAKE
SMIP13 Seminar Proceedings OBSERVATIONS FROM THE APRIL 20, 2013 LUSHAN COUNTY, YA’AN CITY, SICHUAN PROVINCE, CHINA EARTHQUAKE Marshall Lew AMEC Environment & Infrastructure, Inc. Los Angeles, California Abstract The April 20, 2013 Lushan earthquake followed the 2008 Great Wenchuan earthquake by almost five years. Although the rupture also started in the Longmenshan fault zone, the Lushan earthquake is not an aftershock. Although similar damage and disruptions to infrastructure and society occurred, it was of a smaller scale and not unexpected due to the short time for the lessons from Wenchuan to be applied. There were some examples of lessons learned and the strong motion dataset obtained in this event will prove valuable in assessing how effective the actions taken have been. The visual observations were made on May 27 and 28, 2013 in Lushan. Introduction On April 20, 2013, at 8:02 am (Beijing Time), an earthquake occurred in Lushan County of Ya’an City in Sichuan Province in southwestern China. The epicenter was located at 30o 17’ 02” N and 102o 57’ 22” E, about 120 km from the major city of Chengdu; see Figure 1. Ya’an City is a prefecture level city in the western part of Sichuan Province and has a population of about 1.5 million people and is the location of one of China’s main centers for the protection of the endangered giant panda. Sichuan Province is known as the “Province of Abundance.” The province is a leading agricultural region of China and the province is also very rich in mineral resources, including large natural gas reserves. -
3 Year on Sichuan Earthquake Response
3 Year On Sichuan Earthquake Response Executive Summary: Introduction On 20th April 2013, a 7.0-magnitude earthquake struck Lushan County of Ya’an City in Sichuan province at 8:02 am local time (GMT +8). In the epicenter, most houses were either damaged or collapsed; public services were suspended, while water and electricity supply were cut. The disaster was declared as a CAT III, National Office Response. Immediate emergency response was carried out after the quake in Lushan, Baoxing and Tianquan. World Vision moved into rehabilitation phase since 2014, and extended its coverage to Hongya and Jiajiang Counties. In third year of response, World Vision continued our recovery work in Baoxing and Jiajiang Counties. Disaster Impact Quick Facts Death 196 Collapsed house Rural: 20,000 Injury >13,000 rooms Urban: 9,500 Affected population >2,000,000 Direct economic RMB 4.40 billion Displaced population 233,191 loss in Ya’an Relief Reponses and Rehabilitation In the emergency response phase, WV China met the immediate needs of quake-affected communities by responding to the following sectors of needs: Non-Food-Items (NFIs), Water, Sanitation and Hygiene (WASH), Protection, and Education. In rehabilitation phase, WV China has addressed the following sectors of need: Shelter, Education, Infrastructure, Disaster Risk Reduction (DRR) and Livelihood. In total, WV China has reached over 230,000 beneficiary times. Beneficiary Sector Activities times NFI Family Kits, quilts, beds & mattresses >17,500 WASH Hygiene Kits, drinking water facility, irrigation -
Spatial Association and Effect Evaluation of CO2 Emission in the Chengdu-Chongqing Urban Agglomeration: Quantitative Evidence from Social Network Analysis
sustainability Article Spatial Association and Effect Evaluation of CO2 Emission in the Chengdu-Chongqing Urban Agglomeration: Quantitative Evidence from Social Network Analysis Jinzhao Song 1, Qing Feng 1, Xiaoping Wang 1,*, Hanliang Fu 1 , Wei Jiang 2 and Baiyu Chen 3 1 School of Management, Xi’an University of Architecture and Technology, Xi’an 710055, China; [email protected] (J.S.); [email protected] (Q.F.); [email protected] (H.F.) 2 Department of Ecosystem Science and Management, Pennsylvania State University, Forest Resources Building, University Park, PA 16802, USA; [email protected] 3 College of Engineering, University of California Berkeley, Berkeley, CA 94720, USA; [email protected] * Correspondence: [email protected] Received: 29 October 2018; Accepted: 17 December 2018; Published: 20 December 2018 Abstract: Urban agglomeration, an established urban spatial pattern, contributes to the spatial association and dependence of city-level CO2 emission distribution while boosting regional economic growth. Exploring this spatial association and dependence is conducive to the implementation of effective and coordinated policies for regional level CO2 reduction. This study calculated CO2 emissions from 2005–2016 in the Chengdu-Chongqing urban agglomeration with the IPAT model, and empirically explored the spatial structure pattern and association effect of CO2 across the area leveraged by the social network analysis. The findings revealed the following: (1) The spatial structure of CO2 emission in -
Studies on Ethnic Groups in China
Kolas&Thowsen, Margins 1/4/05 4:10 PM Page i studies on ethnic groups in china Stevan Harrell, Editor Kolas&Thowsen, Margins 1/4/05 4:10 PM Page ii studies on ethnic groups in china Cultural Encounters on China’s Ethnic Frontiers Edited by Stevan Harrell Guest People: Hakka Identity in China and Abroad Edited by Nicole Constable Familiar Strangers: A History of Muslims in Northwest China Jonathan N. Lipman Lessons in Being Chinese: Minority Education and Ethnic Identity in Southwest China Mette Halskov Hansen Manchus and Han: Ethnic Relations and Political Power in Late Qing and Early Republican China, 1861–1928 Edward J. M. Rhoads Ways of Being Ethnic in Southwest China Stevan Harrell Governing China’s Multiethnic Frontiers Edited by Morris Rossabi On the Margins of Tibet: Cultural Survival on the Sino-Tibetan Frontier Åshild Kolås and Monika P. Thowsen Kolas&Thowsen, Margins 1/4/05 4:10 PM Page iii ON THE MARGINS OF TIBET Cultural Survival on the Sino-Tibetan Frontier Åshild Kolås and Monika P. Thowsen UNIVERSITY OF WASHINGTON PRESS Seattle and London Kolas&Thowsen, Margins 1/7/05 12:47 PM Page iv this publication was supported in part by the donald r. ellegood international publications endowment. Copyright © 2005 by the University of Washington Press Printed in United States of America Designed by Pamela Canell 12 11 10 09 08 07 06 05 5 4 3 2 1 All rights reserved. No part of this publication may be repro- duced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any infor- mation storage or retrieval system, without permission in writ- ing from the publisher. -
Research on the Suitability Evaluation of Construction Land in Southwest Mountainous Areas of China: a Case Study of Baoxing County, Sichuan Province, China - 6567
Cao et al.: Research on the suitability evaluation of construction land in southwest mountainous areas of China: a case study of Baoxing County, Sichuan Province, China - 6567 - RESEARCH ON THE SUITABILITY EVALUATION OF CONSTRUCTION LAND IN SOUTHWEST MOUNTAINOUS AREAS OF CHINA: A CASE STUDY OF BAOXING COUNTY, SICHUAN PROVINCE, CHINA CAO, M.1,2* – ZHAO, J.1 – ZHANG, S.1 1School of Tourism management, South China Normal University, Panyu district, No. 378 Waihuan West Road, Guangzhou 510000, Guangdong, P. R. China 2Institute of Mountain Hazards and Environment, Chinese Academy of Sciences & Ministry of Water Conservancy, #9, Block 4. Renminnan Road, Chengdu 610041 Sichuan, P. R. China *Corresponding author e-mail: [email protected]; phone: +86-131-2825-1580; fax:+86-20-8521-7757 (Received 27th Jun 2018; accepted 6th Sep 2018) Abstract. Currently, the threats of mountain disasters are continuously increasing due to the highly vulnerable feedback mechanism of mountain ecosystems, and the construction land use type is most strongly affected by human activities. This study uses multiple index coupling models to evaluate the suitability of construction land. The evaluation uses mountain disaster risk, topographic and geomorphic environments, hydrogeological environments, human activity factors and socio-economic factors as the suitability standards. We use geographic information system (GIS) technology to improve the evaluation model and establish a suitability map of construction land for Baoxing County, Sichuan province, China. This study indicates that the mountain disaster risk is the core factor of the suitability zoning of construction land in Baoxing County, wherein, the development suitability of construction land in the central sectors is relatively high while the mountain disaster risk is relatively high due to the high socio- economic value of the disaster-bearing areas in the central sectors. -
World Bank Document
SFG1980 Project for Post-earthquake Restoration and Reconstruction of Public Disclosure Authorized Municipal Infrastructures in Lushan County in Ya’an City with World Bank Loan Social Assessment Report Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized Sichuan Fontal Strategic-Consulting Co., Ltd. December, 2015 Contents 1. Project Overview ................................................................................................................................... 3 1.1 Project Background ......................................................................................................................... 3 1.2 Project Contents .............................................................................................................................. 3 1.2 Project Impact Evaluation Scope..................................................................................................... 7 1.2.1 Area under Direct Impact of Land Acquisition and Demolition for the Project........................... 7 1.2.2 Evaluation Scope in This Report ..................................................................................................... 8 2. Social assessment Indicators and Social Investigation ..................................................................... 10 2.1 Social assessment Method ............................................................................................................. 10 2.2 Evaluation Indicators for Project Social Impact ........................................................................... -
Monitoring Report Form for CDM Programme of Activities (Version 01.0)
CDM-PoA-MR-FORM Monitoring report form for CDM programme of activities (version 01.0) Complete this form in accordance with the Attachment “Instructions for filling out the monitoring report form for CDM programme of activities” at the end of this form. MONITORING REPORT Title of the programme of activities (PoA) Sichuan Rural Poor-Household Biogas Development Programme UNFCCC reference number of the PoA 2898 Version number(s) of the PoA-DD(s) applicable to this monitoring report 1.7 Chengdu Oasis Science & Technology Co., Coordinating/managing entity (CME) Ltd. Version number of this monitoring report 1.2 Completion date of this monitoring report 24/08/2016 Monitoring period number and dates covered by this 4th monitoring period monitoring report 01/01/2015 – 31/12/2015 Monitoring report number for this monitoring period 1 Single monitoring report is prepared for all covered CPAs for this monitoring period Is this a host Party to a specific-case CPA Host Party(ies) of the covered in this PoA Host Party(ies) monitoring report?(yes/no) People’s Republic of Yes China Scope 1: Energy industries (renewable - / Sectoral scope(s) non-renewable sources) Scope 15: Agriculture AMS-I.C - Thermal energy production with or Selected methodology(ies) without electricity (version 19) (EB61, Annex 16); AMS-III.R - Methane recovery in agricultural activities at household/small farm level (version 02) (EB59, Annex 4). Selected standardized baseline(s) N/A Total amount of GHG emission reductions or net GHG emission GHG emission GHG removals by sinks for all specific-case-case reductions or net reductions or net CPAs in the PoA covered in this monitoring report GHG removals by GHG removals by sinks reported up to sinks reported from 1 31 December 2012 January 2013 onwards 0tCO2e 854,697tCO2e Version 01.0 Page 1 of 49 CDM-PoA-MR-FORM PART I - Programme of activities SECTION A. -
Proposed Loan-People's Republic of China: Emergency Assistance For
Report and Recommendation of the President to the Board of Directors Lanka Project Number: 42496 February 2009 Proposed Loan People’s Republic of China: Emergency Assistance for Wenchuan Earthquake Reconstruction Project CURRENCY EQUIVALENTS (as of 12 February 2009) Currency Unit – yuan (CNY) CNY1.00 = $0.1463 $1.00 = CNY6.8337 The exchange rate of the yuan is determined under a floating exchange rate system. The rate used in this report is $1.00 = CNY6.8200, which was the prevailing rate during project fact-finding. ABBREVIATIONS ADB – Asian Development Bank AP – affected person EA – executing agency EARF – environmental assessment and review framework EIA – environmental impact assessment EIAR – environmental impact assessment report EIRT – environmental impact registration table EMP – environmental management plan IA – implementing agency ICT – information and communication and technology IEE – initial environmental examination LIBOR – London interbank offered rate PMO – project monitoring office PRC – People’s Republic of China SOE – statement of expenditure SPCD – Sichuan Provincial Communications Department TA – technical assistance WEIGHTS AND MEASURES km – Kilometer km2 – square kilometer m – Meter m2 – square meter NOTES (i) The fiscal year (FY) of the Government and its agencies ends on 31 December. “FY” before a calendar year denotes the year in which the fiscal year ends, e.g., FY2008 ends on 31 December 2008. (ii) In this report, “$” refers to US dollars. Vice-President C. Lawrence Greenwood, Jr., Operations 2 Director General K. Gerhaeusser, East Asia Department (EARD) Director T. Duncan, Transport Division, EARD Team leader M. Parkash, Principal Transport Specialist, EARD Team members J. Asanova, Education Specialist, EARD N. Britton, Senior Disaster Risk Management Specialist, Regional and Sustainable Development Department A. -
Spatial Disparities in Access to Healthcare Professionals in Sichuan: Evidence from County-Level Data
healthcare Article Spatial Disparities in Access to Healthcare Professionals in Sichuan: Evidence from County-Level Data Ning Zhang 1,2,3, Wei Ning 1,2, Tao Xie 1,2, Jinlin Liu 4, Rongxin He 1,2, Bin Zhu 5,* and Ying Mao 1,2,* 1 School of Public Policy and Administration, Xi’an Jiaotong University, Xi’an 710049, China; [email protected] (N.Z.); [email protected] (W.N.); [email protected] (T.X.); [email protected] (R.H.) 2 Research Center for the Belt and Road Health Policy and Health Technology Assessment, Xi’an Jiaotong University, Xi’an 710049, China 3 Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London SW7 2AZ, UK 4 School of Public Policy and Administration, Northwestern Polytechnic University, Xi’an 710049, China; [email protected] 5 School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen 518055, China * Correspondence: [email protected] (B.Z.); [email protected] (Y.M.) Abstract: As a southwestern province of China, Sichuan is confronted with geographical disparities in access to healthcare professionals because of its complex terrain, uneven population distribution and huge economic gaps between regions. With 10-year data, this study aims to explore the county-level spatial disparities in access to different types of healthcare professionals (licensed doctors, registered nurses, pharmacists, technologists and interns) in Sichuan using temporal and spatial analysis methods. The time-series results showed that the quantity of all types of healthcare professionals Citation: Zhang, N.; Ning, W.; Xie, T.; increased, especially the registered nurses, while huge spatial disparities exist in the distribution Liu, J.; He, R.; Zhu, B.; Mao, Y. -
Time-Calibrated Milankovitch Cycles for the Late Permian
ARTICLE Received 31 Oct 2012 | Accepted 16 Aug 2013 | Published 13 Sep 2013 DOI: 10.1038/ncomms3452 OPEN Time-calibrated Milankovitch cycles for the late Permian Huaichun Wu1,2, Shihong Zhang1, Linda A. Hinnov3, Ganqing Jiang4, Qinglai Feng5, Haiyan Li1 & Tianshui Yang1 An important innovation in the geosciences is the astronomical time scale. The astronomical time scale is based on the Milankovitch-forced stratigraphy that has been calibrated to astronomical models of paleoclimate forcing; it is defined for much of Cenozoic–Mesozoic. For the Palaeozoic era, however, astronomical forcing has not been widely explored because of lack of high-precision geochronology or astronomical modelling. Here we report Milankovitch cycles from late Permian (Lopingian) strata at Meishan and Shangsi, South China, time calibrated by recent high-precision U–Pb dating. The evidence extends empirical knowledge of Earth’s astronomical parameters before 250 million years ago. Observed obliquity and precession terms support a 22-h length-of-day. The reconstructed astronomical time scale indicates a 7.793-million year duration for the Lopingian epoch, when strong 405-kyr cycles constrain astronomical modelling. This is the first significant advance in defining the Palaeozoic astronomical time scale, anchored to absolute time, bridging the Palaeozoic–Mesozoic transition. 1 State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Beijing 100083, China. 2 School of Ocean Sciences, China University of Geosciences, Beijing 100083, China. 3 Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, Maryland 21218, USA. 4 Department of Geoscience, University of Nevada, Las Vegas, Nevada 89154, USA. 5 State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan 430074, China.