Study on the Evaluation of Red Culture Tourism Resources in Qingyang
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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 -
Geology of the Chang 7 Member Oil Shale of the Yanchang Formation of the Ordos Basin in Central North China
Downloaded from http://pg.lyellcollection.org/ by guest on September 26, 2021 Review article Petroleum Geoscience Published Online First https://doi.org/10.1144/petgeo2018-091 Geology of the Chang 7 Member oil shale of the Yanchang Formation of the Ordos Basin in central north China Bai Yunlai & Ma Yuhua* Northwest Branch of Research Institute of Petroleum Exploration and Development (NWGI), PetroChina, Lanzhou 730020, Gansu, China * Correspondence: [email protected] Abstract: We present a review of the Chang 7 Member oil shale, which occurs in the middle–late Triassic Yanchang Formation of the Ordos Basin in central north China. The oil shale has a thickness of 28 m (average), an area of around 30 000 km2 and a Ladinian age. It is mainly brown-black to black in colour with a laminar structure. It is characterized by average values of 18 wt% TOC (total organic carbon), 8 wt% oil yield, a 8.35 MJ kg−1 calorific value, 400 kg t−1 hydrocarbon productivity and kerogen of type I–II1, showing a medium quality. On average, it comprises 49% clay minerals, 29% quartz, 16% feldspar and some iron oxides, which is close to the average mineral composition of global shale. The total SiO2 and Al2O3 comprise 63.69 wt% of the whole rock, indicating a medium ash type. The Sr/Ba is 0.33, the V/Ni is 7.8, the U/Th is 4.8 and the FeO/Fe2O3 is 0.5, indicating formation in a strongly reducing, freshwater or low-salinity sedimentary environment. Multilayered intermediate-acid tuff is developed in the basin, which may have promoted the formation of the oil shale. -
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. -
The Vulnerability of Social-Environmental Systems and Farmers’ Livelihood to Climate Change on China’S Loess Plateau
The Vulnerability of Social-Environmental Systems and Farmers’ Livelihood to Climate Change on China’s Loess Plateau LI WANG A thesis in fulfillment of the requirements for the degree of Doctor of Philosophy Environmental Policy and Management School of Humanities Faculty of Arts and Social Sciences The University of New South Wales, Sydney, Australia December 2012 PLEASE TYPE THE UNIVERSITY OF NEW SOUTH WALES Thesis/Dissertation Sheet Surname or Family name: WANG First name: LI Other name/s: Abbreviation for degree as given in the University calendar: PhD School: School of Humanities, Institute of Environmental Studies Faculty: Faculty of Arts and Social Science Title: The Vulnerability of social-environmental systems and farmers’ livelihood to climate change on China’s Loess Plateau Abstract 350 words maximum: (PLEASE TYPE) Climate change is increasingly affecting social-environmental systems and rural communities across the globe. It is expected to impact upon the climatic conditions on China’s Loess Plateau, principally through prolonged variations in rainfall and droughts, pushing communities and farmers beyond their current adaptive capacity. There is an urgent need for assistance in building resilience and undertaking climate change adaptation efforts in order to reduce the vulnerability of social-environmental systems and farmers' livelihoods on the Plateau. The social-environmental systems on China’s Loess Plateau are unique in that they are extremely dynamic and fragile due to severe deforestation, soil erosion, water stresses, and poverty, which have occurred over many centuries. Two remarkable and vast programs, the Loess Plateau Watershed Rehabilitation Program (1994-2005) by the World Bank, and the national Grain for Green (1999-current) project, to a large extent, have made the social-environmental systems on the Plateau more resilient to environmental stresses. -
Equity in the Chinese Eaw: Its Origin and Transformations
LSE The London School of Economics and Political Science Equity in the Chinese Eaw: Its Origin and Transformations Xi Lin A thesis submitted to the Department of Government of the London School of Economics for the degree of Doctor of Philosophy, London, February 2008 UMI Number: U615926 All rights reserved INFORMATION TO ALL USERS The quality of this reproduction is dependent upon the quality of the copy submitted. In the unlikely event that the author did not send a complete manuscript and there are missing pages, these will be noted. Also, if material had to be removed, a note will indicate the deletion. Dissertation Publishing UMI U615926 Published by ProQuest LLC 2014. Copyright in the Dissertation held by the Author. Microform Edition © ProQuest LLC. All rights reserved. This work is protected against unauthorized copying under Title 17, United States Code. ProQuest LLC 789 East Eisenhower Parkway P.O. Box 1346 Ann Arbor, Ml 48106-1346 p % ° \% ? Library WMhUM'v**- .wWBww*3’ ^ I |S 5 ^ Declaration I certify that the thesis I have presented for examination for the MPhil/PhD degree of the London School of Economics and Political Science is solely my own work other than where I have clearly indicated that it is the work of others (in which case the extent of any work carried out jointly by me and any other person is clearly identified in it). The copyright of this thesis rests with the author. Quotation from it is permitted, provided that full acknowledgement is made. This thesis may not be reproduced without the prior written consent of the author. -
Statistical Analysis of the Spatiotemporal Characteristics Of
International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2015) Statistical analysis of the spatiotemporal characteristics of loess landslide in Qingyang area of Gansu province Zhang binwei1,2,3,Liu wanfeng1,3,Yang xiao4 ,Wang yue4 1 Longdong university,School of civil engineering,Qingyang, gansu province, 745000 2Lanzhou jiaotong university,School of civil engineering,Lanzhou, gansu province, 730070 3 Colleges and universities in gansu province "the engineering properties of loess and the engineering application" at the provincial level key laboratory,Qingyang, gansu province, 745000 4 County of gansu province housing and urban and rural construction bureau,The 745700 county, gansu province Keywords: loess; loess landslide; spatiotemporal analysis; prevention of loess landslide Abstract: according to the present situation of loess landslides in Qingyang area through frequent field visits, and statistical information analysis, for the "seven county and one area" administrative division in Qingyang area, the distribution curves and statistical characteristic diagram is established, to analyze the characteristics and law of loess landslide distribution in Qingyang area, providing the corresponding theory and reality guidelines for the prevention of loess landslides in Qingyang area, and the conclusion has important reference value for government planning and land resources department. 1 Introduction Landslide is a common geological disaster, because it occurs frequently, widely distributed, the economic loss caused by geological disasters ranks in the first except earthquakes. Statistical data show that in Gansu Province, East and West, from 50 at the end of twentieth Century to 1992, a total of 14109 loess landslide are occurred. In recent years, because of the exacerbated economic and social development and population growth, the frequency of the occurrence of geological disasters is increased, causing more and more casualties and property losses [1]. -
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 -
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. -
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. -
Gansu WLAN Hotspots 1/11
Gansu WLAN hotspots NO. SSID Location_Name Location_Type Location_Address City Province 1 ChinaNet Jinlun Hotel Hotel Political way No.3 LanZhou Gansu 2 ChinaNet Nanjing lying Zhuang Hotel Hotel TianShui Road No.20 LanZhou Gansu 3 ChinaNet LanZhou Oriental Hotel Hotel TianShui Road No. 523 LanZhou Gansu 4 ChinaNet Haitian Hotel LanZhou Hotel Xijin Road No. 678 LanZhou Gansu 5 ChinaNet Yinxin Building Hotel PingLiang Road, No. 396 LanZhou Gansu 6 ChinaNet Cui Ying Building Hotel TianShui Road No. 226 LanZhou Gansu 7 ChinaNet Palace Hotel Hotel AnNing WestRoad, No. 515 LanZhou Gansu 8 ChinaNet Flying Hotel Hotel TianShui Road No. 529 LanZhou Gansu 9 ChinaNet Sunshine Building Hotel QingYang Road, No. 428 LanZhou Gansu 10 ChinaNet Jinjiang sunshine Hotel Donggang West Road No. 481 LanZhou Gansu 11 ChinaNet lanDa Technology Square Emporium TianShui Road, No. 248 LanZhou Gansu 12 ChinaNet TeDa Business Hotel Hotel BaiYing Road, No. 383 LanZhou Gansu 13 ChinaNet Computer LanZhou City Emporium Weiyuan Road Nankou LanZhou Gansu 14 ChinaNet LanZhou Friendship Hotel Hotel Xijin West No.16 LanZhou Gansu 15 ChinaNet Togane Hotel Hotel GanNan Road, No.349 LanZhou Gansu 16 ChinaNet LanZhou University School TianShui Road,No. 222 LanZhou Gansu 17 ChinaNet Provincial Organization Department hostels Hotel DongGang West Road, No. 543 LanZhou Gansu 18 ChinaNet TianQing Shennong Ecological Park Entertainment 51 New villege No.19-1 DiaoYing Gou LanZhou Gansu 19 ChinaNet The past is still Cafe Entertainment Plaza West Side LanZhou Gansu 20 ChinaNet Silver Peak Hotel Hotel North Binhe Road No.8 LanZhou Gansu 21 ChinaNet Health School School Dong Gang WestRoad,No.4 LanZhou Gansu 22 ChinaNet Trade and Industry Building Business Building ZhangYe Road, No. -
Annual Development Report on China's Trademark Strategy 2013
Annual Development Report on China's Trademark Strategy 2013 TRADEMARK OFFICE/TRADEMARK REVIEW AND ADJUDICATION BOARD OF STATE ADMINISTRATION FOR INDUSTRY AND COMMERCE PEOPLE’S REPUBLIC OF CHINA China Industry & Commerce Press Preface Preface 2013 was a crucial year for comprehensively implementing the conclusions of the 18th CPC National Congress and the second & third plenary session of the 18th CPC Central Committee. Facing the new situation and task of thoroughly reforming and duty transformation, as well as the opportunities and challenges brought by the revised Trademark Law, Trademark staff in AICs at all levels followed the arrangement of SAIC and got new achievements by carrying out trademark strategy and taking innovation on trademark practice, theory and mechanism. ——Trademark examination and review achieved great progress. In 2013, trademark applications increased to 1.8815 million, with a year-on-year growth of 14.15%, reaching a new record in the history and keeping the highest a mount of the world for consecutive 12 years. Under the pressure of trademark examination, Trademark Office and TRAB of SAIC faced the difficuties positively, and made great efforts on soloving problems. Trademark Office and TRAB of SAIC optimized the examination procedure, properly allocated examiners, implemented the mechanism of performance incentive, and carried out the “double-points” management. As a result, the Office examined 1.4246 million trademark applications, 16.09% more than last year. The examination period was maintained within 10 months, and opposition period was shortened to 12 months, which laid a firm foundation for performing the statutory time limit. —— Implementing trademark strategy with a shift to effective use and protection of trademark by law. -
The Latest List of 592 Poor Counties in China
The latest list of 592 poor counties in China March 19 (Chinanews.com) the poverty alleviation and Development Leading Group Office of the State Council today released the list of key counties for national poverty alleviation and development on its official website. The list includes 592 poor counties in China, including 217 counties in central provinces and 375 counties in western provinces. List of key counties for national poverty alleviation and development National 592 Middle 217 West 375 Eight ethnic provinces 232 Hebei 39: Xingtang County, Lingshou County, Zanhuang County, Pingshan County, Qinglong County, Daming County, Wei County, Lincheng County, Julu County, Xinhe County, Guangzong County, Pingxiang County, Wei County, Fuping County, Tang County, Laiyuan County, Shunping County, Zhangbei County, Kangbao County, Guyuan County, Shangyi County, Wei County, Yangyuan County, Huai'an County, Wanquan County, Chicheng County, Chongli County, Pingquan County, Luanping county Longhua County, Fengning County, Weichang County, Haixing County, Yanshan County, Nanpi County, Wuyi County, Wuqiang County, Raoyang County, Fucheng County, (zhaojiapeng District, Zhuolu county) Shanxi 35: Loufan County, Yanggao County, Tianzhen County, Guangling County, Lingqiu County, Hunyuan County, Pingshun County, Huguan County, Wuxiang County, Youyu County, Zuoquan County, Heshun County, Pinglu County, Wutai County, Dai County, Fanshi County, Ningwu County, jingle County, Shenchi County, Wuzhai County, Kelan County, Hequ County, Baode County, Pianguan County,