Field Study in the Loess Plateau
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A Case Study on Poverty Alleviation in Characteristic Industries
2021 5th International Conference on Education, Management and Social Science (EMSS 2021) A Case Study on Poverty Alleviation in Characteristic Industries Taking Haisheng “331” Industrial Poverty Alleviation Model Of Ningxian County as an example Song-bai Zhang1, Han-yue Zhang2, Wei-wei Gu1 1 Economics and Management College, Longdong University, Qingyang, Gansu, China 2 Historic and Humanity College, Longdong University, Qingyang, Gansu, China Keywords: Apple industry, Poverty alleviation model Abstract: Haisheng “331” industry poverty alleviation in Ningxian County implements the three-way linkage mode of “leading enterprise+cooperative+poor household”, implements the transformation of resources into assets, funds into stocks, farmers become shareholders in the integration of resources, and establishes a unified and scientific brand quality management system, which explores a new way to solve the key problems of poverty alleviation in characteristic industries. 1. Introduction Based on the development of local characteristic advantage agricultural industry, exploring the mode of industrial poverty alleviation and increasing the income of poor farmers is one of the focus issues concerned by many experts and scholars. Huaian County, Hebei Province, explored the leading drive, share dividends and employment-driven and other industrial poverty alleviation model. Yuzhong County, Gansu Province, has explored the industrial poverty alleviation model of cultivating and strengthening the leading enterprises of agricultural precision poverty alleviation industry, extending the industrial chain, improving the value chain and sharing the benefit chain. The spring and fish industry in Xiuning County, Anhui Province, takes the farmers professional cooperatives as the core link, one connects the poor households and the other connects the market, which opens up a new path of poverty alleviation in the characteristic industries. -
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 -
Development of Carbon Storage Model for Aboveground Vegetation in China - 12521
Zhao et al.: Development of carbon storage model for aboveground vegetation in China - 12521 - DEVELOPMENT OF CARBON STORAGE MODEL FOR ABOVEGROUND VEGETATION IN CHINA ZHAO, Z. – FENG, Z.* – LIU, J. – SHEN, Y. Precision Forestry Key Laboratory of Beijing, Beijing Forestry University, No. 35 East Qinghua Road, Haidian District, Beijing 100083, China *Corresponding author e-mail: [email protected], phone: +86-159-3355-5590; fax: +86-10-6233-7963 (Received 16th May 2019; accepted 16th Jul 2019) Abstract. Aboveground vegetation is an important component of the terrestrial ecosystem carbon storage, with a significant role in maintaining the global carbon cycle and balance. At present, the estimation method of aboveground vegetation carbon storage was concerned by people. Based on the national data of major trees, forest sample plots and major crops, the carbon storage models of 13 species of tree and 9 types of stands were established through regression analysis, and the carbon storage factors of main crops per unit area was calculated, Moreover, the carbon storage of forest in China was estimated. The results of model fitting showed that the fitting determination coefficients (R2) were all above 0.9. Evaluation indicators of five regression models were selected to conduct model verification. And the verification results showed that the variation range of total relative error (TRE) of tree regression model is -6.03~4.76%, and that of forest classification regression model is -3.24~7.43%. The China forest carbon storage calculated by regression model is 8.999 Pg, considering that forest inventory is carried out based on a certain degree of canopy density, so the error between the results 8.427 Pg of regression model and forest inventory is within the permit range. -
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 ...................................................................................................................................................... -
Measurement of Rural Residents' Mobility In
sustainability Article Measurement of Rural Residents’ Mobility in Western China: A Case Study of Qingyang, Gansu Province Chunfang Liu 1,*, Bin Yu 2, Yue Zhu 3, Licheng Liu 2 and Pengjie Li 2 1 College of Social Development and Public Administration, Northwest Normal University, Lanzhou 730070, China 2 College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China; [email protected] (B.Y.); [email protected] (L.L.); [email protected] (P.L.) 3 Women0s Federation of Qingyang City, Qingyang 745000, China; [email protected] * Correspondence: [email protected]; Tel.: +86-0931-7971565 Received: 28 February 2019; Accepted: 22 April 2019; Published: 28 April 2019 Abstract: Mobility is a popular topic in the fields of humanities and social sciences. China’s rapid urbanization has resulted in the acceleration of urban–rural mobility. Moreover, the implementation of the New Urbanization and Rural Revitalization Strategy has demonstrated the prospects of urban–rural integration and development. However, research on rural mobility is mainly focused in the fields of economics and sociology, with insufficient attention paid to spatial mobility. The main purpose of this study is to introduce a new theoretical explanation of the four dimensions of rural mobility based on a complete understanding of the current socio-economic background, namely, network mobility, green mobility, people-oriented mobility, and smart mobility. On this basis, a rural mobility evaluation index system is proposed by attempting to build a synthetic rural mobility index from the four aforementioned dimensions. Qingyang, a typical city in Western China located in the Loess Hilly Region, is taken as an example. -
Resettlement Policy Framework
RP1662 REV World Bank-financed Poverty Alleviation and Public Disclosure Authorized Agriculture Development Demonstration in Poor Areas Project Public Disclosure Authorized Resettlement Policy Framework Public Disclosure Authorized China State Council Leading Group for Poverty Alleviation and Development Foreign Capital Project Management Center Public Disclosure Authorized November 2014 Table of Contents Executive Summary .................................................................................................... 1 A. Project Overview, Principles and Rationale for a Resettlement Policy Framework.................................................................................................................... 4 B. Framework for Land Acquisition .......................................................................... 7 B1. Objectives and Relevant Terms of the Policy Framework ............................. 7 B2. Preparation and Approval of Resettlement Action Plans ............................... 8 B3. Institutional and Legal Framework .................................................................. 11 B4. Implementation Process.................................................................................... 13 B6. Budget Arrangements........................................................................................ 14 B6. Public Participation and Information Publication ........................................... 14 C. 4. Land Transfers and Use of Land as Shares ........................................... 15 D. Complaint -
A Comparative Study of the Social Function of African Algaita and Chinese Suona
A COMPARATIVE STUDY OF THE SOCIAL FUNCTION OF AFRICAN ALGAITA AND CHINESE SUONA A thesis submitted to the College of the Arts of Kent State University in partial fulfillment of the requirements for the degree of Master of Arts By Shasha Zhu May, 2018 ii Thesis written by Shasha Zhu B. A., Tianjin Conservatory of Music, 2007 M. A., Tianjin Conservatory of Music, 2010 M. A., Kent State University, 2018 Approved by Kazadi wa Mukuna, Ph.D., Advisor, Master Thesis Committee Theodore Albrecht, Ph.D., Member, Master Thesis Committee Richard Devore, Ph.D., Member, Master Thesis Committee iii TABLE OF CONTENTS TABLE OF CONTENTS ....................................................................................................................... iii LIST OF FIGURES ............................................................................................................................... iv LIST OF TABLES .................................................................................................................................. v ACKONWLEDGEMENTS ................................................................................................................... vi CHAPTER I. INTRODUCTION ............................................................................................................ 1 II. THE GENESIS OF DOUBLE-REED MUSICAL INSTRUMENTS ........................... 19 III. THE ETYMOLOGY OF “ALGAITA” AND “SUONA” ........................................... 40 IV. THE MORPHOLOGICAL STRUCTURES OF THE AFRICAN ALGAITA AND THE CHINESE -
Spatial Distribution Characteristics and Optimum Layout of Urban and Rural Areas in Different Geomorphological Types
EARTH SCIENCES RESEARCH JOURNAL Earth Sci. Res. J. Vol. 24, No. 3 (September, 2020): 267-275 GEOMORPHOLOGY Spatial Distribution Characteristics and Optimum Layout of Urban and Rural Areas in Different Geomorphological Types Jing Li*1,2,3, Zhongyuan Cai4, Lianru Duan2 1Northwest Institute of Historical Environment and Socio-Economic Development, Shaanxi Normal University, Xi'an 710048, China 2School of Urban Planning and Municipal Engineering, Xi’an Polytechnic University, Xi’an 710048, China 3State Key Laboratory of Green Building in Western China, Xi'an University of Architecture and Technology, Xi’an 710048, China 4School of Architecture, Xi'an University of Architecture and Technology, Xi'an 710055, China *Corresponding author: [email protected] ABSTRACT Keywords: Landform types; Loess landform; Taking Jinghe River Basin in the Loess geomorphological area and Guangnan County in the karst geomorphological Karst; Urban and rural areas; Spatial distribution; area as the study area, the spatial distribution characteristics of urban and rural areas of different geomorphological Characteristics. types are analyzed. By using GIS and related statistical analysis software, this paper summarizes three basic urban and rural types: river channel type, plateau surface type, and loess terrace horizon prototype in the Loess Landscape Jinghe River Basin. It is known that most towns in the loess plateau gully area are in the Jinghe River Basin. According to the spatial distribution characteristics of urban and rural areas, the optimal layout based on the main structure of five districts, nine River corridors, and four plates is proposed. Using the DEM module of ArcGIS to divide the elevation and gradient of Guangnan County, we know that the density of urban and rural settlements in Guangnan County is low and the spatial distribution is dispersed, and the distribution of urban and rural settlements shows a strong elevation orientation. -
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Forestry and Ecological Restoration Project in Three Northwest Provinces (RRP PRC 40684) Project Administration Manual Project Number: 40684 Loan and/or Grant Number(s): L2744/G0250 March 2016 People's Republic of China: Forestry and Ecological Restoration Project in Three Northwest Provinces Contents I. PROJECT DESCRIPTION 1 A. Rationale 1 B. Impact and Outcome 3 C. Outputs 3 D. Special Features 5 II. IMPLEMENTATION PLANS 6 A. Project Readiness Activities 6 B. Overall Project Implementation Plan 7 III. PROJECT MANAGEMENT ARRANGEMENTS 9 A. Project Implementation Organizations – Roles and Responsibilities 10 B. Key Persons Involved in Implementation 11 C. Project Organization Structure 12 IV. COSTS AND FINANCING 13 A. Cost Estimates by Expenditure Category, Component and Financier 20 B. Allocation and Withdrawal of (Loan and/or Grant) Proceeds 17 C. Contract and Disbursement S-curve 18 D. Fund Flow Diagram 19 V. FINANCIAL MANAGEMENT 20 A. Financial Management Assessment 20 B. Disbursement 20 C. Accounting 22 D. Auditing 23 VI. PROCUREMENT AND CONSULTING SERVICES 23 A. Advance Contracting and Retroactive Financing 23 B. Procurement of Goods, Works and Consulting Services 24 C. Procurement Plan 25 D. Consultant's Terms of Reference 30 VII. SAFEGUARDS 32 VIII. GENDER AND SOCIAL DIMENSIONS 37 IX. PERFORMANCE MONITORING, EVALUATION, REPORTING AND COMMUNICATION 33 A. Project Design and Monitoring Framework 33 B. Monitoring 36 C. Evaluation 37 D. Reporting 37 E. Stakeholder Communication Strategy 37 X. ANTICORRUPTION POLICY 37 XI. ACCOUNTABILITY MECHANISM 38 XII. RECORD OF PAM CHANGES 38 Project Administration Manual Purpose and Process The project administration manual (PAM) describes the essential administrative and management requirements to implement the project on time, within budget, and in accordance with government and Asian Development Bank (ADB) policies and procedures. -
Minimum Wage Standards in China June 28, 2018
Minimum Wage Standards in China June 28, 2018 Contents Heilongjiang .................................................................................................................................................. 3 Jilin ................................................................................................................................................................ 3 Liaoning ........................................................................................................................................................ 4 Inner Mongolia Autonomous Region ........................................................................................................... 7 Beijing ......................................................................................................................................................... 10 Hebei ........................................................................................................................................................... 11 Henan .......................................................................................................................................................... 13 Shandong .................................................................................................................................................... 14 Shanxi ......................................................................................................................................................... 16 Shaanxi ....................................................................................................................................................... -
A12 List of China's City Gas Franchising Zones
附录 A12: 中国城市管道燃气特许经营区收录名单 Appendix A03: List of China's City Gas Franchising Zones • 1 Appendix A12: List of China's City Gas Franchising Zones 附录 A12:中国城市管道燃气特许经营区收录名单 No. of Projects / 项目数:3,404 Statistics Update Date / 统计截止时间:2017.9 Source / 来源:http://www.chinagasmap.com Natural gas project investment in China was relatively simple and easy just 10 CNG)、控股投资者(上级管理机构)和一线运营单位的当前主官经理、公司企业 years ago because of the brand new downstream market. It differs a lot since 所有制类型和联系方式。 then: LNG plants enjoyed seller market before, while a LNG plant investor today will find himself soon fighting with over 300 LNG plants for buyers; West East 这套名录的作用 Gas Pipeline 1 enjoyed virgin markets alongside its paving route in 2002, while today's Xin-Zhe-Yue Pipeline Network investor has to plan its route within territory 1. 在基础数据收集验证层面为您的专业信息团队节省 2,500 小时之工作量; of a couple of competing pipelines; In the past, city gas investors could choose to 2. 使城市燃气项目投资者了解当前特许区域最新分布、其他燃气公司的控股势力范 sign golden areas with best sales potential and easy access to PNG supply, while 围;结合中国 LNG 项目名录和中国 CNG 项目名录时,投资者更易于选择新项 today's investors have to turn their sights to areas where sales potential is limited 目区域或谋划收购对象; ...Obviously, today's investors have to consider more to ensure right decision 3. 使 LNG 和 LNG 生产商掌握采购商的最新布局,提前为充分市场竞争做准备; making in a much complicated gas market. China Natural Gas Map's associated 4. 便于 L/CNG 加气站投资者了解市场进入壁垒,并在此基础上谨慎规划选址; project directories provide readers a fundamental analysis tool to make their 5. 结合中国天然气管道名录时,长输管线项目的投资者可根据竞争性供气管道当前 decisions. With a completed idea about venders, buyers and competitive projects, 格局和下游用户的分布,对管道路线和分输口建立初步规划框架。 analyst would be able to shape a better market model when planning a new investment or marketing program. -
How to Optimize Ecosystem Services Based on a Bayesian Model: a Case Study of Jinghe River Basin
sustainability Article How to Optimize Ecosystem Services Based on a Bayesian Model: A Case Study of Jinghe River Basin Chengyan Tang 1, Jing Li 1,*, Zixiang Zhou 2, Li Zeng 1, Cheng Zhang 1 and Hui Ran 1 1 School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China 2 College of Geomatics, Xi’an University of Science and Technology, Xi’an 710054, China * Correspondence: [email protected] Received: 14 June 2019; Accepted: 26 July 2019; Published: 1 August 2019 Abstract: Based on a Bayesian Network Model (BBN), we established an ecological service network system of the Jinghe River Basin in 2015. Our method consisted of using the distributed eco-hydrological model (Soil and Water Assessment Tool (SWAT) model) to simulate water yield, the Carnegie-Ames-Stanford Approach (CASA) model to estimate Net Primary Productivity (NPP), the Universal Soil Loss Equation (USLE) model to calculate soil erosion and the Crop Productivity (CP) model to simulate agricultural productivity to quantify the four ecosystem services. Based on the network established, the key variable subset and the visual optimal state subset, which we visualized, were analyzed and used to provide spatial optimization suggestions for the four kinds of ecosystem services studied. Our results indicate that water yield, concentrated in the middle and lower reaches of the mountain and river areas, is increasing in the Jinghe River Basin. NPP is continuously increasing and is distributed in the middle and lower reaches of the mountain areas on both sides of the river. Agricultural productivity also shows an upward trend, with areas of high productivity concentrated in the southern downstream mountain areas.