Factors Influencing Development of Cracking–Sliding Failures of Loess
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Table of Codes for Each Court of Each Level
Table of Codes for Each Court of Each Level Corresponding Type Chinese Court Region Court Name Administrative Name Code Code Area Supreme People’s Court 最高人民法院 最高法 Higher People's Court of 北京市高级人民 Beijing 京 110000 1 Beijing Municipality 法院 Municipality No. 1 Intermediate People's 北京市第一中级 京 01 2 Court of Beijing Municipality 人民法院 Shijingshan Shijingshan District People’s 北京市石景山区 京 0107 110107 District of Beijing 1 Court of Beijing Municipality 人民法院 Municipality Haidian District of Haidian District People’s 北京市海淀区人 京 0108 110108 Beijing 1 Court of Beijing Municipality 民法院 Municipality Mentougou Mentougou District People’s 北京市门头沟区 京 0109 110109 District of Beijing 1 Court of Beijing Municipality 人民法院 Municipality Changping Changping District People’s 北京市昌平区人 京 0114 110114 District of Beijing 1 Court of Beijing Municipality 民法院 Municipality Yanqing County People’s 延庆县人民法院 京 0229 110229 Yanqing County 1 Court No. 2 Intermediate People's 北京市第二中级 京 02 2 Court of Beijing Municipality 人民法院 Dongcheng Dongcheng District People’s 北京市东城区人 京 0101 110101 District of Beijing 1 Court of Beijing Municipality 民法院 Municipality Xicheng District Xicheng District People’s 北京市西城区人 京 0102 110102 of Beijing 1 Court of Beijing Municipality 民法院 Municipality Fengtai District of Fengtai District People’s 北京市丰台区人 京 0106 110106 Beijing 1 Court of Beijing Municipality 民法院 Municipality 1 Fangshan District Fangshan District People’s 北京市房山区人 京 0111 110111 of Beijing 1 Court of Beijing Municipality 民法院 Municipality Daxing District of Daxing District People’s 北京市大兴区人 京 0115 -
Study on Carbon Sequestration Benefit of Converting Farmland to Forest in Yan’An
E3S Web of Conferences 275, 02005 (2021) https://doi.org/10.1051/e3sconf/202127502005 EILCD 2021 Study on Carbon Sequestration Benefit of Converting Farmland to Forest in Yan’an Zhou M.C1, Han H.Z1*, Yang X.J1, Chen C1 1School of Tourism & Research Institute of Human Geography, Xi’an International Studies University, Xi’an, China Abstract. This paper takes Yan'anas the study area, analyses the current situation of the policy, calculates the carbon sequestration value by using the afforestation area and woodland area in Yanan in 2019, and explores its carbon emission trading potential. The conclusions are as follows: (1) the amount of carbon sequestration increased by 203575.5 t due to the afforestation in 2019 in Yan'an. The green economy income of Yan'an can be increased by 5.8528 million RMB, because of it. The carbon sequestration value of total woodland is 120 million RMB, which can increase the forestry output value of Yan'an by 19.32%. (2) The new carbon sequestration benefit of northern area is higher than that of southern area in Yan’an; the highest carbon sequestration benefit of returning farmland to forest isWuqi County’s 35307.29t, and its value is 1.015 million RMB, it can be increased by 0.15% of the green economy income. (3) The industrial counties Huangling County and Huanglong County, the industrial counties Luochuan County and Yichuan County carry out carbon trading respectively, under the condition of ensuring the output value of the secondary industry in the industrial county, it can increase the green economy income of the total output value of Huanglong County and Yichuan County by 0.73% respectively. -
48358-001: Shanxi Inclusive Agricultural Value Chain Development
Environmenta l Monitoring Report Project Number: 48358-001 October 2019 PRC: Shanxi Inclusive Agricultural Value Chain Development Project (Jan.-June 2019) Prepared by: Shanxi Foreign Capital Poverty Alleviation Project Management Office. This environmental monitoring report is a document of the borrower. The views expressed herein do not necessarily represent those of ADB's Board of Directors, Management or staff, and may be preliminary in nature. In preparing any country program or strategy, financing any project, or by making any designation of or reference to a particular territory or geographic area in this document, the Asian Development Bank does not intend to make any judgments as to the legal or other status of any territory or area. CURRENCY EQUIVALENTS (as of 30 June 2019) Currency unit – Yuan (CNY) CNY1.00 = $ 0.1459 $1.00 = CNY 6.8531 ACRONYMS AND ABBREVIATIONS ADB Asian Development Bank GRM Grievance redress mechanism AVC Agricultural value chain Leq Equivalent continuous sound pressure level, in decibels BOD5 5-day biochemical oxygen demand LAeq Equivalent continuous A-weighted sound pressure level, in decibels CNY Chinese Yuan, Renminbi LIC Loan implementation consultant CODcr Chemical oxygen demand IA Implementing agency CSC Construction supervision company IEE Initial environmental examination dB Decibels MOE Ministry of Environment DO Dissolved oxygen NH3-N Ammonia nitrogen EIA Environmental impact assessment NO2 Nitrate EA Executing Agency O&M Operation and maintenance EIA Environmental impact assessment pH potential -
8-Day Shaanxi Adventure Tour
www.lilysunchinatours.com 8-day Shaanxi Adventure Tour Basics Tour Code: LCT-XL-8D-01 Duration: 8 days Attractions: Terracotta Warriors and Horses Museum, City Wall, Mt.Huashan, Yellow Emperor (Huangdi)’s Mausoleum, Hukou Waterfall, Valley of the Waves Jingbian, Hanyangling Mausoleum Overview There is a folk belief that ancient treasures can be found in literally every inch of the Shaanxi soil. The fact is Shaanxi Province isn’t just about history and culture; it also boasts the various spectacular natural landscapes like precipitous and physically-challenging Mount Huashan, magnificently surging Hukou Waterfall, unique and locally-featured Yan’an Cave Dwellings, and one of most significant nature’s creations - Valley of the Waves in Jingbian. This trip will take you to not only visit the world-famous Terra-cotta Warriors and Horses Museum but, most importantly, bring you to go outside Xian city and enjoy the grand views northern Shaanxi has to offer! Highlights Immerse yourself in the deep history and culture of Qin Dynasty and its great wonder -Terracotta Army; Challenge yourself by trekking on one of most precipitous mountains in China - Mount Huashan; Revere the Mausoleum of Huangdi, the Ancestor of Chinese Ethnic Peoples; Visit the mother river of China, Yellow River and be awed by the grand Hukou Waterfall; Tel: +86 18629295068 1 Email: [email protected]; [email protected] www.lilysunchinatours.com Overnight at a local Cave House Hotel in Yan’an city and have a campfire party with locals; Witness the scenic wonder of the Valley of the Waves in Jingbian that created by millions of years of water, sand and wind. -
48358-001: Shanxi Inclusive Agricultural Value Chain
Environmental Monitoring Report Project Number: 48358-001 October 2019 PRC: Shanxi Inclusive Agricultural Value Chain Development Project (2018) Prepared by: Shanxi Foreign Capital Poverty Alleviation Project Management Office. This environmental monitoring report is a document of the borrower. The views expressed herein do not necessarily represent those of ADB's Board of Directors, Management or staff, and may be preliminary in nature. In preparing any country program or strategy, financing any project, or by making any designation of or reference to a particular territory or geographic area in this document, the Asian Development Bank does not intend to make any judgments as to the legal or other status of any territory or area. CURRENCY EQUIVALENTS (as of 31 December 2018) Currency unit – Yuan (CNY) CNY1.00 = $ 0.1454 $1.00 = CNY 6.8755 ACRONYMS AND ABBREVIATIONS ADB Asian Development Bank GRM Grievance redress mechanism AVC Agricultural value chain Leq Equivalent continuous sound pressure level, in decibels BOD5 5-day biochemical oxygen demand LAeq Equivalent continuous A-weighted sound pressure level, in decibels CNY Chinese Yuan, Renminbi IA Implementing agency CODcr Chemical oxygen demand IEE Initial environmental examination CSC Construction supervision company MOE Ministry of Environment dB Decibels NH3-N Ammonia nitrogen DO Dissolved oxygen NO2 Nitrate EIA Environmental impact assessment O&M Operation and maintenance EA Executing Agency pH potential of hydrogen; used to specify the acidity or basicity of a solution EIA Environmental -
Species Association in Xanthoceras Sorbifolium Bunge Communities and Selection for Agroforestry Establishment
Agroforest Syst https://doi.org/10.1007/s10457-018-0265-z Species association in Xanthoceras sorbifolium Bunge communities and selection for agroforestry establishment Qing Wang . Renbin Zhu . Jimin Cheng . Zhixiong Deng . Wenbin Guan . Yousry A. El-Kassaby Received: 24 August 2017 / Accepted: 15 June 2018 Ó The Author(s) 2018 Abstract We embraced the ‘‘learning from nature scaling ordination to assess community structure and and back to nature’’ paradigm to develop viable composition, and the climatic variables that most agroforestry scenarios through studying species asso- likely influenced existing species distributions. Next, ciation in 12 wild yellowhorn (Xanthoceras sorb- pairwise and multiple species associations were eval- ifolium: a Chinese endemic oil woody plants) uated using several multiple species association communities. We identified 18 species combinations indices (e.g., v2, Jaccard, Ochiai, Dice). Generally, for their suitability as agroforestry mixes where all species association indices were in agreement and positive associations were detected and thus economic were helpful in identifying several high valued benefits are anticipated. In each wild yellowhorn medicinal species that showed positive and significant community, we use nonmetric multidimensional associations with yellowhorn. Finally, we proposed several agroforestry species mixes suitable for yellowhorn. Qing Wang and Renbin Zhu have contributed equally to this work. Keywords Xanthoceras sorbifolium Á Species Electronic supplementary material The online version of association and selection Á Agroforestry mixes Á this article (https://doi.org/10.1007/s10457-018-0265-z) con- Nonmetric multidimensional scaling ordination tains supplementary material, which is available to authorized users. (NMDS) Q. Wang Á Z. Deng Á W. Guan (&) R. Zhu School of Nature Conservation, Beijing Forestry Xishuangbanna Tropical Botanical Garden, Chinese University, Beijing 100083, People’s Republic of China Academy of Sciences, Menglun 666303, Yunnan, e-mail: [email protected] People’s Republic of China Q. -
The Relationship Between the Shang and the Ethnic Groups on the Northern Frontiers As Reflected in the Northern-Style Bronzes Unearthed in Yinxu Site
Chinese Archaeology 14 (2014): 155-169 © 2014F. Zhu: by Walter The relationship de Gruyter, between Inc. · Boston the Shang · Berlin. and DOI the 10.1515/char-2014-0017 ethnic groups on the Northern Frontiers 155 The relationship between the Shang and the ethnic groups on the Northern Frontiers as reflected in the northern-style bronzes unearthed in Yinxu Site and they are usually rather complete in composition, most * Fenghan Zhu of them consisting of the four parts of preface (qianci 前 辞 ), charge (mingci 命辞 ), prognostication (zhanci 占 * Center for Research on Ancient Chinese History, Peking 辞 ) and verification (yanci 验辞 ). This kind of oracle University, Beijing 100871. bone inscriptions belongs to the Bin group (binzu 宾组 ) Email: zhufenghanbd@126. com. and thus dates to the middle of the reign of King Wu Ding (1250–1192 BCE). Abstract In a first step, I am choosing 11 oracle bone inscriptions from Yinxu whose dates are undisputed (Figure 1). They Through an analysis of oracle bone inscriptions relating all describe events taking place between guiwei ( 癸 to attacks on the northern and western borders of the 未 , i.e., the 20th) and jisi ( 己巳 , i.e., the 6th day of the Shang Kingdom by various ethnic groups living in the sexagenary cycle), a period comprising 47 days and thus Northern Frontier Zone, this paper suggests that the stretching over two months. These two months during members of northern chiefdoms such as the Qiong Fang, which the prognostications were performed comprise the Tu Fang, or Fang Fang mainly lived in the mountainous fifth and the sixth months. -
Minimum Wage Standards in China August 11, 2020
Minimum Wage Standards in China August 11, 2020 Contents Heilongjiang ................................................................................................................................................. 3 Jilin ............................................................................................................................................................... 3 Liaoning ........................................................................................................................................................ 4 Inner Mongolia Autonomous Region ........................................................................................................... 7 Beijing......................................................................................................................................................... 10 Hebei ........................................................................................................................................................... 11 Henan .......................................................................................................................................................... 13 Shandong .................................................................................................................................................... 14 Shanxi ......................................................................................................................................................... 16 Shaanxi ...................................................................................................................................................... -
Supporting Early Carbon Capture Utilisation and Storage Development in Non-Power Industrial Sectors, Shaanxi Province, China AUTHORS Professor Hongguang JIN, Dr
Supporting early Carbon Capture Utilisation and Storage development in non-power industrial sectors, Shaanxi Province, China AUTHORS Professor Hongguang JIN, Dr. Lin GAO, Dr. Sheng LI Institute of Engineering Thermophysics, Chinese Academy of Sciences Emiel van Sambeek Azure International Richard Porter University of Leeds Tom Mikunda, Jan Wilco Dijkstra, Heleen de Coninck, Daan Jansen Energy research Centre of the Netherlands Publication date June 2012 Report no. 012 Publisher The Centre for Low Carbon Futures 2012 For citation and reprints, please contact the Centre for Low Carbon Futures. This project is funded by the British Embassy Beijing as part of the China Prosperity SPF Programme. The results of this report are based on the collaborative efforts of the Institute of Engineering Thermophysics, Chinese Academy of Sciences, Azure International, the University of Leeds, the Energy research Centre of the Netherlands and has been lead by the Centre for Low Carbon Futures (CLCF). The project is also grateful for support from the Global CCS Institute. CONTENTS Introduction .............................................................................................................................................01 CHAPTER ONE: GAPS AND BARRIERS TO CARBON CAPTURE UTILISATION AND STORAGE IN NON-POWER INDUSTRIAL SECTORS OF SHAANXI PROVINCE, CHINA 1. Background and Introduction................................................................................................................06 1.1. CCUS and its significance to the Shaanxi Province, -
World Bank Document
Document of The World Bank Public Disclosure Authorized Report No. 15079-CHA STAFF APPRAISAL REPORT CHINA Public Disclosure Authorized SHANXI POVERTY ALLEVIATION PROJECT FEBRUARY 21, 1996 Public Disclosure Authorized Rural and Social Development Operations Division Public Disclosure Authorized China and Mongolia Department East Asia and Pacific Regional Office CURRENCY EQUIVALENTS (As of October 1995) Currency Unit = Yuan (Y) $1.00 = Y 8.4 Y 1.00 = $0.119 FISCAL YEAR January I to December 31 WEIGHTS AND MEASURES I meter (m) = 3.28 feet (ft) I kilometer (km) = 0.62 miles I square kilometer (km2) = 100 ha I hectare (ha) = 2.47 acres = lSmu I ton (t) = 1,000 kg = 2,205 pounds I kilogram (kg) = 2.2 pounds PRINCIPAL ABBREVIATIONS AND ACRONYMS USED ACWF - All China Women'sFederation CAAS - Chinese Academy of Agricultural Sciences CPMO - Central Project Management Office cms - cubic meter per second EIA - Environmental Impact Assessment FAO - Food and Agriculture Organization GIS - Geographical Information System IBRD - International Bank for Reconstruction and Development IDA - International Development Association IPM - Integrated Pest Management ITC - International Tendering Company mcm - million cubic meters MOF - Ministry of Finance MWR - Ministry of Water Resources NEPA - National Environmental Protection Agency PLG - Project Leading Group PMO - Project Management Office PRC - People's Republic of China SPC - State Planning Commission TVE - Township-Village Enterprise WFP - World Food Program WHO - World Health Organization YIS - Yuncheng Irrigation System YRCC - Yellow River Conservancy Commission CHINA SHANXI POVERTY ALLEVIATION PROJECT CREDIT AND PROJECT SUMMARY Borrower: People's Republic of China Beneficiary: Shanxi Province Poverty: Program of Targeted Interventions Amount: SDR 67.3 million ($100 million equivalent) Terms: Standard, with 35 years' maturity Commitment Fee: 0.50 percent on undisbursed credit balances, beginning 60 days after signing, less any waiver. -
Analysis on Response of Vegetation Index in Energy Enrichment Zone to Change of Hydrothermal Condition and Its Time Lag in the North of Shaanxi, China
Bangladesh J. Bot. 45(4): 753-759, 2016 (September), Supplementary ANALYSIS ON RESPONSE OF VEGETATION INDEX IN ENERGY ENRICHMENT ZONE TO CHANGE OF HYDROTHERMAL CONDITION AND ITS TIME LAG IN THE NORTH OF SHAANXI, CHINA * 2 QIANG LI1 , CHONG ZHANG AND ZHIYUAN REN1 Environment and Resource Management Department, Shaanxi Xueqian Normal University, Xi'an-710100, Shaanxi, China Key words: Time lag, Cross correlation method, Hydrothermal condition, Energy enrichment zone Abstract Time lag cross correlation method is adopted to conduct analysis on intra-annual time lag response of vegetation coverage to hydrothermal condition based on ten-day average air temperature, precipitation data and Systeme Probatoire d’Observation de la Terre - normalized difference vegetation index (SPOT-NDVI) data in energy enrichment zone in the north of Shaanxi from 1999 to 2010. The vegetation coverage in the south of energy enrichment zone was better, characterized by high degree of correlation between ten-day NDVI (TN), ten-day mean temperature (TT) and ten-day precipitation (TP), correlation coefficient of more than 0.9, rapid response, lag time being 10 to 20 days. The windy sand grass shoal area in the south end of Mu Us desert was characterized by low degree of correlation between TN with TT and TP, correlation coefficient from 0.75 to 0.85 and longer response time, lag time for 30 to 50 days in most part of the zone, indicated that the zone with better hydrothermal condition was higher in degree of correlation and rapid in response speed and that the zone with poor hydrothermal condition was lower in degree of correlation and slow in response speed. -
GIS Analysis of Changes in Ecological Vulnerability Using a SPCA Model in the Loess Plateau of Northern Shaanxi, China
Int. J. Environ. Res. Public Health 2015, 12, 4292-4305; doi:10.3390/ijerph120404292 OPEN ACCESS International Journal of Environmental Research and Public Health ISSN 1660-4601 www.mdpi.com/journal/ijerph Article GIS Analysis of Changes in Ecological Vulnerability Using a SPCA Model in the Loess Plateau of Northern Shaanxi, China Hou Kang, Li Xuxiang * and Zhang Jing School of Human Settlements and Civil Engineering, Xi’an Jiao tong University, Xi’an, 710049, China; E-Mails: [email protected] (H.K.); [email protected] (Z.J.) * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +86-136-0920-3003. Academic Editor: Yu-Pin Lin Received: 14 February 2015 / Accepted: 10 April 2015 / Published: 17 April 2015 Abstract: Changes in ecological vulnerability were analyzed for Northern Shaanxi, China using a geographic information system (GIS). An evaluation model was developed using a spatial principal component analysis (SPCA) model containing land use, soil erosion, topography, climate, vegetation and social economy variables. Using this model, an ecological vulnerability index was computed for the research region. Using natural breaks classification (NBC), the evaluation results were divided into five types: potential, slight, light, medium and heavy. The results indicate that there is greater than average optimism about the conditions of the study region, and the ecological vulnerability index (EVI) of the southern eight counties is lower than that of the northern twelve counties. From 1997 to 2011, the ecological vulnerability index gradually decreased, which means that environmental security was gradually enhanced, although there are still some places that have gradually deteriorated over the past 15 years.