PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1

Total Page:16

File Type:pdf, Size:1020Kb

PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1 PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 1 CLEAN DEVELOPMENT MECHANISM PROJECT DESIGN DOCUMENT FORM (CDM-PDD) Version 03 - in effect as of: 28 July 2006 CONTENTS A. General description of project activity B. Application of a baseline and monitoring methodology C. Duration of the project activity / crediting period D. Environmental impacts E. Stakeholders’ comments Annexes Annex 1: Contact information on participants in the project activity Annex 2: Information regarding public funding Annex 3: Baseline information Annex 4: Monitoring plan PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 2 SECTION A. General description of project activity A.1 Title of the project activity: Heilongjiang Yilan Fuqiang Wind Power Project Version:1.0 Date: 12/ 06 /2008 A.2. Description of the project activity: The Heilongjiang Yilan Fuqiang Wind Power Project (hereafter refers to the proposed project) is located in Yilan County, Harbin City, Heilongjiang Province, P.R.C. It involves the installation of 33 turbines, each of which has a rated output of 1500kW, providing a total capacity of 49.5MW. The annual output of the proposed project is estimated to be 123,115MWh. The electricity to be generated will be sold to Northeast China Power Grid. The proposed project will help reduce GHG emissions generated from the high-growth, coal-dominated power generation. The estimated annual GHG emission reductions are 141,099 tCO2e. Being as an environmentally sound energy supply technology, wind power is a priority development project in China. The contributions of the proposed project to sustainable development goal are summarized as follows: ♦ Being located in a power grid dominated by thermal power plants, development of the proposed project will not only reduce GHG emissions but also mitigate local environmental pollution caused by air emissions from thermal power plants. ♦ The proposed project could be helpful to diversify power mix of Northeast China Power Grid. ♦ Chinese government has established policies to encourage investment in Northeast China in order to accelerate local economic development. The proposed project could contribute to meet local electricity demand, therefore undoubtedly boosts the economy in the local region. ♦ Reducing the dependence on exhaustible fossil fuels for power generation. ♦ Creation of employment. A.3. Project participants: >> Kindly indicate if the Name of Party involved Private and/or public entity(ies) Party involved (*)((host) indicates a host project participants (*) wishes to be considered Party) (as applicable) as project participant (Yes/No) People’s Republic of Datang Yilan Wind Power Co., Ltd. No China (host) The Buyer is to be determined (*) In accordance with the CDM modalities and procedures, at the time of making the CDM-PDD public at the stage of validation, a Party involved may or may not have provided its approval. At the time of requesting registration, the approval by the Party (ies) involved is required. Please see Annex 1 for the detailed contact information on participants. PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 3 A.4. Technical description of the project activity: A.4.1. Location of the project activity: >> A.4.1.1. Host Party(ies): People’s Republic of China A.4.1.2. Region/State/Province etc.: Heilongjiang Province A.4.1.3. City/Town/Community etc: >> Yilan County, Harbin City A.4.1.4. Detail of physical location, including information allowing the unique identification of this project activity (maximum one page): >> The project site is located in Yilan County, Harbin City, Heilongjiang Province. It is located at longitude 130° 2' East and latitude 046° 7'North,where is 40km from the Yilan County. Figure A-1 shows the location of the proposed project. Heilongjiang in China PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 4 The Proposed project Figure A-1: Location of the proposed project A.4.2. Category(ies) of project activity: >> Sectoral scope 1: energy industries (renewable sources) A.4.3. Technology to be employed by the project activity: >> For this proposed project, 33 turbines will be installed, each of which has a capacity of 1500kW, providing a total capacity of 49.5MW. Key technical specifications of the turbines are listed as Table A-1 below. Table A-1 Key Technical specifications of the turbines Parameters Name Unit Value Nominal output kW 1500 Number of blades piece 3 Diameter m 70.5 Nominal wind speed m/s 16 Cut-in wind speed m/s 4.0 Cut-out wind speed m/s 25 Hub height m 65 Rated voltage V 690 Rated frequency Hz 50 PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 5 A.4.4 Estimated amount of emission reductions over the chosen crediting period: >> The project activity is expected to generate an estimated annual emission reduction of 141,099 tCO2e and 987,693 tCO2e during the first crediting period of the project (July, 2009-June, 2016), as shown in Table A-2. Table A-2 GHG Emission reduction estimation of the project Annual estimation of emission Year reductions(tCO2 e) 2009.7-2009.12 70,549.5 2010 141,099 2011 141,099 2012 141,099 2013 141,099 2014 141,099 2015 141,099 2016.1-2016.6 70,549.5 Total estimated reductions(tCO e) during 2 987,693 the first crediting period Total number of crediting years 7 Annual average of estimated reductions 141,099 over the crediting period(tCO2e) A.4.5. Public funding of the project activity: >> There is no public funding from Annex I Parties for this Project. SECTION B. Application of a baseline and monitoring methodology B.1. Title and reference of the approved baseline and monitoring methodology applied to the project activity: >> Approved consolidated baseline and monitoring methodology ACM0002: “Consolidated baseline methodology for grid-connected electricity generation from renewable sources” (Version 07/Sectoral Scope: 01/EB 36) Tool for the demonstration and assessment of additionality (Version 05/EB 39/Annex10) Tool to calculate the emission factor for an electricity system (Version 01/EB 35/Annex 12) For more information, please visit: http://cdm.unfccc.int/methodologies/PAmethodologies/approved.html B.2 Justification of the choice of the methodology and why it is applicable to the project activity: >> Approved consolidated baseline and monitoring methodology ACM0002: “Consolidated baseline methodology for grid-connected electricity generation from renewable sources” (Version 07/Sectoral Scope: 01/EB 36) is applicable to grid-connected renewable power generation project activities (including electricity capacity additions) under the following conditions: PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1. CDM – Executive Board page 6 z The project activity is the installation or modification/retrofit of a power plant/unit of one of the following types: hydro power plant/unit (either with a run-of-river reservoir or an accumulation reservoir), wind power plant/unit, geothermal power plant/unit, solar power plant/unit, wave power plant/unit or tidal power plant/unit; z The geographic and system boundaries for the relevant electricity grid can be clearly identified and information on the characteristics of the grid is available and etc. Applying the methodology to the proposed project is justified because: ¾ The proposed project involves the electricity capacity additions from wind sources; ¾ The geographic and system boundary of the Northeast China Power Grid can be clearly identified and information on the characteristics of the grid is available; ¾ The proposed project does not involve switching from fossil fuels to renewable energy at the site of the project activity; Therefore, the approved consolidated baseline and monitoring methodology ACM0002 (Version 07) is applicable to the proposed project. B.3. Description of the sources and gases included in the project boundary >> Electricity generated by the Project will be transmitted the Northeast China Grid. The Northeast China Grid includes Liaoning Province, Jilin Province and Heilongjiang Province. Within the project boundary, the GHG emissions by the project activity are zero. And for the baseline determination, only the CO2 emissions from electricity generation in fossil fuel fired power plants shall be accounted. For more details please see Table B-1. Table B-1 Emission sources of the proposed project Source Gas Included? Justification/Explanation Electricity Main emission source and the only gas CO2 Yes generation in fossil identified in the baseline methodology fuel fired power CH No Unidentified in the baseline methodology Baseline that is dispatched 4 due to the project activity N2O No Unidentified in the baseline methodology Zero-emissions grid-connected electricity CO No 2 generation from renewable energy Project Zero-emissions grid-connected electricity Proposed project CH No Activity 4 generation from renewable energy Zero-emissions grid-connected electricity N O No 2 generation from renewable energy B.4. Description of how the baseline scenario is identified and description of the identified baseline scenario: According to the description in the approved consolidated baseline and monitoring methodology ACM0002, being a project with the boundary of Northeast China Power Grid that does not modify or retrofit an existing electricity generation facility, the baseline scenario of the proposed project can be identified as the following: PROJECT DESIGN DOCUMENT FORM (CDM PDD) - Version 03.1.
Recommended publications
  • The Effects of Forest Area Changes on Extreme Temperature Indexes Between the 1900S and 2010S in Heilongjiang Province, China
    remote sensing Article The Effects of Forest Area Changes on Extreme Temperature Indexes between the 1900s and 2010s in Heilongjiang Province, China Lijuan Zhang 1,*, Tao Pan 1, Hongwen Zhang 2, Xiaxiang Li 1 ID and Lanqi Jiang 3,4,5 1 Key Laboratory of Remote Sensing Monitoring of Geographic Environment, Harbin Normal University, Harbin 150025, China; [email protected] (T.P.); [email protected] (X.L.) 2 Key Laboratory of Land Surface Process and Climate Change in Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; [email protected] 3 Innovation and Opening Laboratory of Regional Eco-Meteorology in Northeast, China Meteorological Administration, Harbin 150030, China; [email protected] 4 Meteorological Academician Workstation of Heilongjiang Province, Harbin 150030, China 5 Heilongjiang Province Institute of Meteorological Sciences, Harbin 150030, China * Correspondence: [email protected] Received: 29 October 2017; Accepted: 6 December 2017; Published: 9 December 2017 Abstract: Land use and land cover changes (LUCC) are thought to be amongst the most important impacts exerted by humans on climate. However, relatively little research has been carried out so far on the effects of LUCC on extreme climate change other than on regional temperatures and precipitation. In this paper, we apply a regional weather research and forecasting (WRF) climate model using LUCC data from Heilongjiang Province, that was collected between the 1900s and 2010s, to explore how changes in forest cover influence extreme temperature indexes. Our selection of extreme high, low, and daily temperature indexes for analysis in this study enables the calculation of a five-year numerical integration trail with changing forest space.
    [Show full text]
  • Palaeontology and Biostratigraphy of the Lower Cretaceous Qihulin
    Dissertation Submitted to the Combined Faculties for the Natural Sciences and for Mathematics of the Ruperto-Carola University of Heidelberg, Germany for the degree of Doctor of Natural Sciences presented by Master of Science: Gang Li Born in: Heilongjiang, China Oral examination: 30 November 2001 Gedruckt mit Unterstützung des Deutschen Akademischen Austauschdienstes (Printed with the support of German Academic Exchange Service) Palaeontology and biostratigraphy of the Lower Cretaceous Qihulin Formation in eastern Heilongjiang, northeastern China Referees: Prof. Dr. Peter Bengtson Prof. Pei-ji Chen This manuscript is produced only for examination as a doctoral dissertation and is not intended as a permanent scientific record. It is therefore not a publication in the sense of the International Code of Zoological Nomenclature. Abstract The purpose of the study was to provide conclusive evidence for a chronostratigraphical assignment of the Qihulin Formation of the Longzhaogou Group exposed in Mishan and Hulin counties of eastern Heilongjiang, northeastern China. To develop an integrated view of the formation, all collected fossil groups, i.e. the macrofossils (ammonites and bivalves) and microfossils (agglutinated foraminifers and radiolarians) have been studied. The low-diversity ammonite fauna consists of Pseudohaploceras Hyatt, 1900, and Eogaudryceras Spath, 1927, which indicate a Barremian–Aptian age. The bivalve fauna consists of eight genera and 16 species. The occurrence of Thracia rotundata (J. de C: Sowerby) suggests an Aptian age. The agglutinated foraminifers comprise ten genera and 16 species, including common Lower Cretaceous species such as Ammodiscus rotalarius Loeblich & Tappan, 1949, Cribrostomoides? nonioninoides (Reuss, 1836), Haplophragmoides concavus (Chapman, 1892), Trochommina depressa Lozo, 1944. The radiolarians comprise ten genera and 17 species, where Novixitus sp., Xitus cf.
    [Show full text]
  • DRAINAGE BASINS of the SEA of OKHOTSK and SEA of JAPAN Chapter 2
    60 DRAINAGE BASINS OF THE SEA OF OKHOTSK AND SEA OF JAPAN Chapter 2 SEA OF OKHOTSK AND SEA OF JAPAN 61 62 AMUR RIVER BASIN 66 LAKE XINGKAI/KHANKA 66 TUMEN RIVER BASIN Chapter 2 62 SEA OF OKHOTSK AND SEA OF JAPAN This chapter deals with major transboundary rivers discharging into the Sea of Okhotsk and the Sea of Japan and their major transboundary tributaries. It also includes lakes located within the basins of these seas. TRANSBOUNDARY WATERS IN THE BASINS OF THE SEA OF OKHOTSK AND THE SEA OF JAPAN1 Basin/sub-basin(s) Total area (km2) Recipient Riparian countries Lakes in the basin Amur 1,855,000 Sea of Okhotsk CN, MN, RU … - Argun 164,000 Amur CN, RU … - Ussuri 193,000 Amur CN, RU Lake Khanka Sujfun 18,300 Sea of Japan CN, RU … Tumen 33,800 Sea of Japan CN, KP, RU … 1 The assessment of water bodies in italics was not included in the present publication. 1 AMUR RIVER BASIN o 55 110o 120o 130o 140o SEA OF Zeya OKHOTSK R U S S I A N Reservoir F E mur D un A E mg Z A e R Ulan Ude Chita y ilka a A a Sh r od T u Ing m n A u I Onon g ya r re A Bu O n e N N Khabarovsk Ulaanbaatar Qiqihar i MONGOLIA a r u u gh s n s o U CHIN A S Lake Khanka N Harbin 45o Sapporo A Suj fu Jilin n Changchun SEA O F P n e JA PA N m Vladivostok A Tu Kilometres Shenyang 0 200 400 600 The boundaries and names shown and the designations used on this map Ch’ongjin J do not imply official endorsement or acceptance by the United Nations.
    [Show full text]
  • Global Map of Irrigation Areas CHINA
    Global Map of Irrigation Areas CHINA Area equipped for irrigation (ha) Area actually irrigated Province total with groundwater with surface water (ha) Anhui 3 369 860 337 346 3 032 514 2 309 259 Beijing 367 870 204 428 163 442 352 387 Chongqing 618 090 30 618 060 432 520 Fujian 1 005 000 16 021 988 979 938 174 Gansu 1 355 480 180 090 1 175 390 1 153 139 Guangdong 2 230 740 28 106 2 202 634 2 042 344 Guangxi 1 532 220 13 156 1 519 064 1 208 323 Guizhou 711 920 2 009 709 911 515 049 Hainan 250 600 2 349 248 251 189 232 Hebei 4 885 720 4 143 367 742 353 4 475 046 Heilongjiang 2 400 060 1 599 131 800 929 2 003 129 Henan 4 941 210 3 422 622 1 518 588 3 862 567 Hong Kong 2 000 0 2 000 800 Hubei 2 457 630 51 049 2 406 581 2 082 525 Hunan 2 761 660 0 2 761 660 2 598 439 Inner Mongolia 3 332 520 2 150 064 1 182 456 2 842 223 Jiangsu 4 020 100 119 982 3 900 118 3 487 628 Jiangxi 1 883 720 14 688 1 869 032 1 818 684 Jilin 1 636 370 751 990 884 380 1 066 337 Liaoning 1 715 390 783 750 931 640 1 385 872 Ningxia 497 220 33 538 463 682 497 220 Qinghai 371 170 5 212 365 958 301 560 Shaanxi 1 443 620 488 895 954 725 1 211 648 Shandong 5 360 090 2 581 448 2 778 642 4 485 538 Shanghai 308 340 0 308 340 308 340 Shanxi 1 283 460 611 084 672 376 1 017 422 Sichuan 2 607 420 13 291 2 594 129 2 140 680 Tianjin 393 010 134 743 258 267 321 932 Tibet 306 980 7 055 299 925 289 908 Xinjiang 4 776 980 924 366 3 852 614 4 629 141 Yunnan 1 561 190 11 635 1 549 555 1 328 186 Zhejiang 1 512 300 27 297 1 485 003 1 463 653 China total 61 899 940 18 658 742 43 241 198 52
    [Show full text]
  • A Study of the Interrelation Between Surface Water and Groundwater Using Isotopes and Chlorofluorocarbons in Sanjiang Plain, Northeast China
    Environ Earth Sci (2014) 72:3901–3913 DOI 10.1007/s12665-014-3279-5 ORIGINAL ARTICLE A study of the interrelation between surface water and groundwater using isotopes and chlorofluorocarbons in Sanjiang plain, Northeast China Bing Zhang • Xianfang Song • Yinghua Zhang • Dongmei Han • Changyuan Tang • Lihu Yang • Zhongliang Wang • Tingyi Liu Received: 14 June 2013 / Accepted: 7 April 2014 / Published online: 27 April 2014 Ó Springer-Verlag Berlin Heidelberg 2014 Abstract Surface water and groundwater are the main recharged from Songhua river. The combination of stable water resources used for drinking and production. Assess- isotopes, tritium, and CFCs was an effectively method to ments of the relationship between surface water and study the groundwater ages and interrelation between sur- groundwater provide information for water resource man- face water and groundwater. Practically, the farmlands near agement in Sanjiang plain, Northeast China. The surface the river and under foot of the mountain could be culti- water (river, lake, and wetland) and groundwater were vated, but the farmlands in the central plain should be sampled and analyzed for stable isotopic (dD, d18O) controlled. composition, tritium, and chlorofluorocarbons concentra- tions. The local meteoric water line is dD = 7.3d18O–6.7. Keywords Hydrogen and oxygen isotopes Á The tritium (T) and chlorofluorocarbon (CFC) contents in Chlorofluorocarbons Á Surface water Á Groundwater Á groundwater were analyzed to determine the groundwater Sanjiang plain ages. Most groundwater were modern water with the ages \50 years. The groundwaters in mountain area and near rivers were younger than in the central plain. The oxygen Introduction isotope (d18O) was used to quantify the relationship between surface water and groundwater.
    [Show full text]
  • Jews in China---- a Presentation by Archie Ossin
    Jews in China---- a presentation by Archie Ossin April 2001 –Jewish Genealogy Society – Orlando, FL Oct 2001-Rhoda Goldman Plaza-San Francisco, CA Dec 2001 – 39ers Club – Orlando, FL July 2002– Dartmouth College-Berdakin-Ossinovsky Family Reunion- Hanover, NH April 2003 - Kinneret - Orlando, FL April 2005 Seminole Community College, Lake Mary Florida Feb 2006 Seminole Community College, Lake Mary, FL Aug 2006 – UC Santa Barbara – Berdakin – Ossinovsky-Skidelsky fam Reunion April 17, 2007- Rishonah Chaverot Hadassah – Cong Reform Judaism Orlando © Jan 2001 Archie Ossin 6th-11th Century Jewish Merchants and Traders come back and forth to China on Silk route 11 th Century First Group of Jews (70 families) come to Kaifeng to stay. Kaifeng is Capital of China during Song Dynasty, Population 1.5 Million 1163 First Synagogue built in Kaifeng 1492 Spanish Inquisition 1500 Kaifeng Jewish population peaks at 5000 Kaifeng repeatedly destroyed by flooding of Yellow River Kublai Khan moved capital to Peking Jews always intermarried in Kaifeng and Jewish traditions maintained for 700 years © Jan 2001 Archie Ossin 16 th Century -Decline of Jewish community- intermarriage and assimilation 1605 Jewish community first discovered by Christian Missionaires. Jesuit Priest, Father Matteo Ricci, wrote about the Jewish Community, igniting a continuing interest in this community by missionaries and scholars ever since. 1792 Russia Jewish Pale established in areas annexed in Poland 1800’s Kaifeng Synagogue repaired and rebuilt several times until the 19 th Century when the last Rabbi died and Hebrew no longer taught. © Jan 2001 Archie Ossin 1842 Opium wars open China to Western Society 1842 China First Sephardic Jews arrive in Shanghai 1850 China-- First Jewish office opened by Elias Sassoon son of David Sassoon, an Iraqi Jew, working in Bombay as a Commodities Dealer.
    [Show full text]
  • Harbin Bank Co., Ltd
    HARBIN BANK CO., LTD. (A joint stock company incorporated in the People’s Republic of China with limited liability) Stock Code: 6138 2013 Annual Report 2013 Annual Report The Company holds the Finance Permit No. B0306H223010001 approved by the China Banking Regulatory Commission and obtains the Corporate Business License No. 230100100006877 approved by Harbin Administration for Industry and Commerce. The Company is not an authorized institution within the meaning of the Hong Kong Banking Ordinance (Chapter 155 of the Laws of Hong Kong), not subject to the supervision of the Hong Kong Monetary Authority, and not authorized to carry on banking/deposit-taking business in Hong Kong. Contents Defi nitions 2 Company Profi le 3 Harbin Bank Co., Ltd. Annual Report 2013 Summary of Accounting Data and Financial Indicators 8 Chairman’s Statement 12 Management Discussion and Analysis 15 Changes in Share Capital and Information on Shareholders 70 Report of the Board of Directors 75 Report of the Board of Supervisors 82 Important Events 86 Internal Control 89 Corporate Governance Report 91 Directors, Supervisors, Senior Management, Employees and Organizations 113 Financial Statements 128 Documents for Inspection 264 Defi nitions In this report, unless the context otherwise requires, the following terms shall have the meanings set out below. “Company”, “our Bank”, “Bank”, Harbin Bank Co., Ltd. (哈爾濱銀行股份有限公司), a joint stock or “We” company incorporated in the PRC on 25 July 1997 with limited liability in accordance with PRC laws and, unless context indicates
    [Show full text]
  • 8. Population of Capital Cities and Cities of 100 000 Or More
    8. Population of capital cities and cities of 100 000 or more inhabitants: latest available year, 1990 - 2009 Population des capitales et des villes de 100 000 habitants ou plus : dernière année disponible, 1990 - 2009 City proper - Ville proprement dite Urban agglomeration - Agglomération urbaine Continent, country or area, date, code and city Population Population Surface Surface Continent, pays ou zone, date, code et ville Both sexes Both sexes Male - Female - area - Male - Female - area - - Les deux - Les deux Masculin Féminin Superficie Masculin Féminin Superficie sexes sexes (km²) (km²) AFRICA - AFRIQUE Algeria - Algérie 25 VI 1998 (CDJC) ALGIERS (EL DJAZAIR) ..................................... 1 569 897 ... ... ... ... ... ... ... Annaba ................................................................ 352 523 ... ... ... ... ... ... ... Batna ................................................................... 246 800 ... ... ... ... ... ... ... Béchar ................................................................. 134 523 ... ... ... ... ... ... ... Bejaïa .................................................................. 144 405 ... ... ... ... ... ... ... Beskra ................................................................. 177 060 ... ... ... ... ... ... ... Bordj Bou Arreridj ................................................ 129 004 ... ... ... ... ... ... ... Bordj el Kiffan ...................................................... 103 690 ... ... ... ... ... ... ... Ech Cheliff (El Asnam) .......................................
    [Show full text]
  • Questionnaire of Community and Forest Farm
    IPP779 V1 Public Disclosure Authorized Landscape Approach to Wildlife Conservation in Northeast China Project Public Disclosure Authorized Social Impact Assessment Report Public Disclosure Authorized Public Disclosure Authorized March, 2015 Executive Summary In order to promote the protection and management of the Siberian tiger and its habitat, the State Forestry Administration and the World Bank jointly applied for the GEF “Landscape Approach to Wildlife Conservation in Northeast China Project”, and got approval in principle on Feb, 29th, 2012. This project is implemented in Northeast China, at the junction area of Heilongjiang Province and Jilin Province, close to the Primorsky Region of Russia and Hamgyong Province of North Korea. It involves Hunchun City, Wangqing County, Dongning County, and Muling County, with a total area of 13879.26 square kilometers. The aggregate amount of the project is 18 million US dollars. The undertaking units of the project include Jilin Forestry Department, Heilongjiang Forestry Department, and the General Bureau of Heilongjiang Forest Industry. Contents of the project mainly include conservation station construction, new nature reserve construction or expansion, tiger-friendly forest management activities and supplementary feeding stations construction. The implementation area all belong to the state-owned forest farms affiliated to the General Bureau of Heilongjiang Forest Industry, Heilongjiang Forestry Department and Jilin Forestry Department. Departments in charge of these involved forest farms
    [Show full text]
  • A Spatial Study on Keshan Disease Prevalence And
    ORIGINAL PAPER International Journal of Occupational Medicine and Environmental Health 2021;34(5):659 – 666 https://doi.org/10.13075/ijomeh.1896.01749 A SPATIAL STUDY ON KESHAN DISEASE PREVALENCE AND SELENOPROTEIN P IN THE HEILONGJIANG PROVINCE, CHINA YANAN WANG1, XIAO ZHANG1,2, TONG WANG1, JIE HOU1, ZHONGYING GUO1,3, XIAOMIN HAN1,3, HUIHUI ZHOU1,4, HONG LIANG1,5, and ZHIFENG XING6 1 Harbin Medical University, Harbin, China Institute of Keshan Disease, Chinese Center for Endemic Disease Control 2 Qingdao Municipal Hospital, Qingdao, China Department of Healthcare-Associated Infection Management 3 Harbin Center for Disease Control and Prevention, Harbin, China Director Office 4 Jining Medical University, Jining, China School of Public Health 5 Qiqihar Medical University, Qiqihar, China School of Public Health 6 Heilongjiang Center for Disease Control and Prevention, Harbin, China Institute for Endemic Disease Control and Prevention Abstract Objectives: Few spatial studies on Keshan disease (KD) prevalence and serum selenoprotein P (SELENOP) levels have been reported in the Heilongjiang Province, China. This study aimed to investigate the spatial relationships between KD prevalence, SELENOP levels, and the socio-economic status for the pre- cise prevention and control of KD. Material and Methods: The study was carried out in all the 66 KD endemic counties in the Heilongjiang Province using a non-probability sampling method of a key village survey based on county-wide case-searching. The participants completed a questionnaire and had their serum SELENOP levels measured using enzyme-linked immunosorbent assay. Thematic maps were created, and spatial regression analysis was performed by ordinary least squares using ArcGIS 9.0.
    [Show full text]
  • Risk Assessment of Water Resources Shortage in Sanjiang Plain Qiuxiang Jiang, Yongqi Cao, Ke Zhao, Zhimei Zhou
    Risk Assessment of Water Resources Shortage in Sanjiang Plain Qiuxiang Jiang, Yongqi Cao, Ke Zhao, Zhimei Zhou To cite this version: Qiuxiang Jiang, Yongqi Cao, Ke Zhao, Zhimei Zhou. Risk Assessment of Water Resources Shortage in Sanjiang Plain. 9th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2015, Beijing, China. pp.556-563, 1010.1007/978-3-319-48357-3_52. hal-01557809 HAL Id: hal-01557809 https://hal.inria.fr/hal-01557809 Submitted on 6 Jul 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License Risk Assessment of Water Resources Shortage in Sanjiang Plain Qiuxiang Jiang1,2,a,*, Yongqi Cao3, Ke Zhao1, Zhimei Zhou1 1College of Water Conservancy and Architecture, Northeast Agricultural University, Harbin 150030, China; 2Postdoctoral Mobile Research Station of Agricultural and Forestry Economy Management, Northeast Agricultural University, Harbin 150030, China;3College of Mechanics and Architecture, Northwestern Polytechnical University, Xi’an 710129, China [email protected] Abstract. In view of the problems existing in the development and utilization of water resources in Sanjiang Plain, this paper made a study on the risk assessment of water resources shortage in Sanjiang Plain.
    [Show full text]
  • Sustainable Development Ability of State-Owned Forest Region in Heilongjiang Province, China
    Sustainable development ability of state-owned forest region… Changsheng Li Sustainable development ability of state-owned forest region in Heilongjiang Province, China 1,2Changsheng Li 1. College of Forestry, Northeast Forestry University, Harbin, Heilongjiang, 150040, China. 2. School of Humanities and Social Sciences, Harbin Institute of Technology, Harbin, Heilongjiang, 150001, China. [email protected] Abstract: To bring sustainable development ability of state-owned forest region in Heilongjiang Province into line with the process of quantification, the basic principles for establishing the sustainable development indicators system were set. They are scientific principle, integrality, layer, operability, combination of stability and dynamic. The sustainable development indicator system of state-owned forest region in Heilongjiang Province was established according to the theory of the compound system: Society-economy-resources-environment, which includes three levels, four systems and more than 13 elements. If CEI (comprehensive evaluating index) <0.80, it belongs to non-sustainable; If 0.80≤CEI<0.90, it belongs to basic-sustainable; If 0.90≤CEI≤1, it belongs to sustainable. 36 forestry bureaus were calculated according to above standard. They are divided into 3 kinds. Taoshan Forestry Bureau and other 8 forestry bureaus belong to non-sustainable. Shuangfeng Forestry Bureau and other 16 forestry bureaus belong to basic-sustainable. Dailing Forestry Bureau and other 9 forestry bureaus belong to sustainable. [World Rural Observations 2009;1(2):12-24]. ISSN: 1944-6543 (print); ISSN: 1944-6551 (online) Key words: Sustainable development, Indicators system, Comprehensive evaluating index, State-owned forest region of this area have been in the harvest-cutting period at 1.
    [Show full text]