Inner Mongolia Reach of the Yellow River Under the Changing Environment
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Spatial Heterogeneous of Ecological Vulnerability in Arid and Semi-Arid Area: a Case of the Ningxia Hui Autonomous Region, China
sustainability Article Spatial Heterogeneous of Ecological Vulnerability in Arid and Semi-Arid Area: A Case of the Ningxia Hui Autonomous Region, China Rong Li 1, Rui Han 1, Qianru Yu 1, Shuang Qi 2 and Luo Guo 1,* 1 College of the Life and Environmental Science, Minzu University of China, Beijing 100081, China; [email protected] (R.L.); [email protected] (R.H.); [email protected] (Q.Y.) 2 Department of Geography, National University of Singapore; Singapore 117570, Singapore; [email protected] * Correspondence: [email protected] Received: 25 April 2020; Accepted: 26 May 2020; Published: 28 May 2020 Abstract: Ecological vulnerability, as an important evaluation method reflecting regional ecological status and the degree of stability, is the key content in global change and sustainable development. Most studies mainly focus on changes of ecological vulnerability concerning the temporal trend, but rarely take arid and semi-arid areas into consideration to explore the spatial heterogeneity of the ecological vulnerability index (EVI) there. In this study, we selected the Ningxia Hui Autonomous Region on the Loess Plateau of China, a typical arid and semi-arid area, as a case to investigate the spatial heterogeneity of the EVI every five years, from 1990 to 2015. Based on remote sensing data, meteorological data, and economic statistical data, this study first evaluated the temporal-spatial change of ecological vulnerability in the study area by Geo-information Tupu. Further, we explored the spatial heterogeneity of the ecological vulnerability using Getis-Ord Gi*. Results show that: (1) the regions with high ecological vulnerability are mainly concentrated in the north of the study area, which has high levels of economic growth, while the regions with low ecological vulnerability are mainly distributed in the relatively poor regions in the south of the study area. -
Appendix 1: Rank of China's 338 Prefecture-Level Cities
Appendix 1: Rank of China’s 338 Prefecture-Level Cities © The Author(s) 2018 149 Y. Zheng, K. Deng, State Failure and Distorted Urbanisation in Post-Mao’s China, 1993–2012, Palgrave Studies in Economic History, https://doi.org/10.1007/978-3-319-92168-6 150 First-tier cities (4) Beijing Shanghai Guangzhou Shenzhen First-tier cities-to-be (15) Chengdu Hangzhou Wuhan Nanjing Chongqing Tianjin Suzhou苏州 Appendix Rank 1: of China’s 338 Prefecture-Level Cities Xi’an Changsha Shenyang Qingdao Zhengzhou Dalian Dongguan Ningbo Second-tier cities (30) Xiamen Fuzhou福州 Wuxi Hefei Kunming Harbin Jinan Foshan Changchun Wenzhou Shijiazhuang Nanning Changzhou Quanzhou Nanchang Guiyang Taiyuan Jinhua Zhuhai Huizhou Xuzhou Yantai Jiaxing Nantong Urumqi Shaoxing Zhongshan Taizhou Lanzhou Haikou Third-tier cities (70) Weifang Baoding Zhenjiang Yangzhou Guilin Tangshan Sanya Huhehot Langfang Luoyang Weihai Yangcheng Linyi Jiangmen Taizhou Zhangzhou Handan Jining Wuhu Zibo Yinchuan Liuzhou Mianyang Zhanjiang Anshan Huzhou Shantou Nanping Ganzhou Daqing Yichang Baotou Xianyang Qinhuangdao Lianyungang Zhuzhou Putian Jilin Huai’an Zhaoqing Ningde Hengyang Dandong Lijiang Jieyang Sanming Zhoushan Xiaogan Qiqihar Jiujiang Longyan Cangzhou Fushun Xiangyang Shangrao Yingkou Bengbu Lishui Yueyang Qingyuan Jingzhou Taian Quzhou Panjin Dongying Nanyang Ma’anshan Nanchong Xining Yanbian prefecture Fourth-tier cities (90) Leshan Xiangtan Zunyi Suqian Xinxiang Xinyang Chuzhou Jinzhou Chaozhou Huanggang Kaifeng Deyang Dezhou Meizhou Ordos Xingtai Maoming Jingdezhen Shaoguan -
Journal Pre-Proof
Journal Pre-proof Optimal temperature zone for the dispersal of COVID-19 Zhongwei Huang, Jianping Huang, Qianqing Gu, Pengyue Du, Hongbin Liang, Qing Dong PII: S0048-9697(20)33004-7 DOI: https://doi.org/10.1016/j.scitotenv.2020.139487 Reference: STOTEN 139487 To appear in: Science of the Total Environment Received date: 1 May 2020 Revised date: 9 May 2020 Accepted date: 15 May 2020 Please cite this article as: Z. Huang, J. Huang, Q. Gu, et al., Optimal temperature zone for the dispersal of COVID-19, Science of the Total Environment (2020), https://doi.org/ 10.1016/j.scitotenv.2020.139487 This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2020 Published by Elsevier. Journal Pre-proof Optimal temperature zone for the dispersal of COVID-19 Zhongwei Huang, Jianping Huang*, Qianqing Gu, Pengyue Du, Hongbin Liang, and Qing Dong Collaborative Innovation Center for West Ecological Safety (CIWES), College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, China. *Corresponding author: Jiangping Huang ([email protected]). ABSTRACT It is essential to know the environmental parameters within which the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can survive to understand its global dispersal pattern.Journal We found that 60.0%Pre-proof of the confirmed cases of coronavirus disease 2019 (COVID-19) occurred in places where the air temperature ranged from 5°C to 15°C, with a peak in cases at 11.54°C. -
Diversion of the Paleo‐Yellow River Channel in the Qingtongxia Area of Ningxia, China: Evidence from Terraces and Fluvial Landforms
Received: 28 June 2019 Revised: 3 September 2019 Accepted: 13 October 2019 DOI: 10.1002/gj.3684 SPECIAL ISSUE ARTICLE Diversion of the paleo‐Yellow River channel in the Qingtongxia area of Ningxia, China: Evidence from terraces and fluvial landforms Hong Chen1,2 | Guo‐dong Bao1 | Wei Shi1,2 | Jian‐min Hu1,2 1 Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing, China The Qingtongxia Grand Canyon (QGC) of the Yellow River is a region of intense tec- 2 Key Laboratory of Paleomagnetism and tonic deformation that is located in the southern Yinchuan Basin, at the junction of Tectonic Reconstruction of Ministry of Natural Resources, Beijing, China the western margin of the Ordos Plateau and the northeast arcuate structural belt of the Qinghai–Tibetan Plateau. The Yellow River makes a 90° turn as it traverses Correspondence Hong Chen, Institute of Geomechanics, the Qingtongxia area, incising the hard Ordovician sandstones of Niushou Mountain, Chinese Academy of Geological Sciences, while leaving the relatively soft Quaternary sediments on the northern side of the No.11 Minzudaxue South Road, Haidian District. Beijing 100081, China. channel undisturbed. Despite this apparent inconsistency with the expected pattern Email: [email protected] of river erosion, there has been no significant research to date on the formation of Funding information the QGC. Here, we utilize remote sensing, surficial geomorphology, and shallow cor- Geological Survey Project of the Geological ing to confirm the evolution of the Yellow River channel and formation of the QGC. Survey of China, Grant/Award Numbers: – ‐ DD20160060 and DD20190018; Special Using Landsat Thermic Mapper and ASTER imagery, we identified a N S oriented Funds for Basic Scientific Research Operation zone of high water‐content in the northern part of the QGC that is characterized at Fees of the Chinese Academy of Geosciences, Grant/Award Number: YYWF201616 the surface by marsh and wetlands. -
China Shaping Tibet for Strategic Leverage
MANEKSHAW PAPER No. 70, 2018 China Shaping Tibet for Strategic Leverage Praggya Surana D W LAN ARFA OR RE F S E T R U T D N IE E S C CLAWS VI CT N OR ISIO Y THROUGH V KNOWLEDGE WORLD Centre for Land Warfare Studies KW Publishers Pvt Ltd New Delhi New Delhi Editorial Team Editor-in-Chief : Lt Gen Balraj Nagal ISSN 23939729 D W LAN ARFA OR RE F S E T R U T D N IE E S C CLAWS VI CT N OR ISIO Y THROUGH V Centre for Land Warfare Studies RPSO Complex, Parade Road, Delhi Cantt, New Delhi 110010 Phone: +91.11.25691308 Fax: +91.11.25692347 email: [email protected] website: www.claws.in CLAWS Army No. 33098 The Centre for Land Warfare Studies (CLAWS), New Delhi, is an autonomous think-tank dealing with national security and conceptual aspects of land warfare, including conventional and sub-conventional conflicts and terrorism. CLAWS conducts research that is futuristic in outlook and policy-oriented in approach. © 2018, Centre for Land Warfare Studies (CLAWS), New Delhi Disclaimer: The contents of this paper are based on the analysis of materials accessed from open sources and are the personal views of the author. The contents, therefore, may not be quoted or cited as representing the views or policy of the Government of India, or Integrated Headquarters of the Ministry of Defence (MoD) (Army), or the Centre for Land Warfare Studies. KNOWLEDGE WORLD www.kwpub.com Published in India by Kalpana Shukla KW Publishers Pvt Ltd 4676/21, First Floor, Ansari Road, Daryaganj, New Delhi 110002 Phone: +91 11 23263498 / 43528107 email: [email protected] l www.kwpub.com Contents Introduction 1 1. -
World Bank Document
• IPP378 The People's Republic of China Ningxia Hui Autononlous Region Ningxia Highway Improvement Project Public Disclosure Authorized Social Assessment Public Disclosure Authorized Report (Revised draft) Public Disclosure Authorized Shanghai Resettlenlent Investment Management Co. Ltd. Public Disclosure Authorized October 2009 , , " Contents Illustration map of Project expressway and road network ........................................... 1 Chapter 1 Introduction .......................................................................................... 1 1.1 Basic information of the Project ................................................................ 1 1.2 Project affected areas ................................................................................. 5 1.3 Overall objective and prerequisites of Social Assessment .......................... 7 1.4 Basic steps of Social Assessment .................................................................. 8 1.5 Other considerations during Social Assessment ....................................... 15 1.6 The main basis and survey method of Social Assessment ........................ 16 Chapter 2 Socio-economic information of the Project affected areas ..................... 19 2.1 Ningxia Hui Autonomous Region ............................................................ 19 2.2 Yinchuan City ......................................................................................... 22 2.3 Wuzhong City ........................................................................................ -
Semi-Arid Regions: a Case Study in Ningxia, China Jie Li1,2†, Xiangxue Zhang3,4†, Li Wang5,6, Chengdong Xu4*, Gexin Xiao7*, Ran Wang1, Fang Zheng1,2 and Fang Wang1,2
Li et al. BMC Public Health (2019) 19:1482 https://doi.org/10.1186/s12889-019-7758-1 RESEARCH ARTICLE Open Access Spatial-temporal heterogeneity of hand, foot and mouth disease and impact of meteorological factors in arid/ semi-arid regions: a case study in Ningxia, China Jie Li1,2†, Xiangxue Zhang3,4†, Li Wang5,6, Chengdong Xu4*, Gexin Xiao7*, Ran Wang1, Fang Zheng1,2 and Fang Wang1,2 Abstract Background: The incidence of hand, foot and mouth disease (HFMD) varies over space and time and this variability is related to climate and social-economic factors. Majority of studies on HFMD were carried out in humid regions while few have focused on the disease in arid/semi-arid regions, more research in such climates would potentially make the mechanism of HFMD transmission clearer under different climate conditions. Methods: In this paper, we explore spatial-temporal distribution of HFMD in Ningxia province, which has an arid/semi- arid climate in northwest China. We first employed a Bayesian space-time hierarchy model (BSTHM) to assess the spatial-temporal heterogeneity of the HFMD cases and its relationship with meteorological factors in Ningxia from 2009 to 2013, then used a novel spatial statistical software package GeoDetector to test the spatial-temporal heterogeneity of HFMD risk. Results: The results showed that the spatial relative risks in northern part of Ningxia were higher than those in the south. The highest temporal risk of HFMD incidence was in fall season, with a secondary peak in spring. Meteorological factors, such as average temperature, relative humidity, and wind speed played significant roles in the spatial-temporal distribution of HFMD risk. -
The Mishu Phenomenon: Patron-Client Ties and Coalition-Building Tactics
Li, China Leadership Monitor No.4 The Mishu Phenomenon: Patron-Client Ties and Coalition-Building Tactics Cheng Li China’s ongoing political succession has been filled with paradoxes. Jockeying for power among various factions has been fervent and protracted, but the power struggle has not led to a systemic crisis as it did during the reigns of Mao and Deng. While nepotism and favoritism in elite recruitment have become prevalent, educational credentials and technical expertise are also essential. Regional representation has gained importance in the selection of Central Committee members, but leaders who come from coastal regions will likely dominate the new Politburo. Regulations such as term limits and an age requirement for retirement have been implemented at various levels of the Chinese leadership, but these rules and norms will perhaps not restrain the power of Jiang Zemin, the 76-year-old “new paramount leader.” While the military’s influence on political succession has declined during the past decade, the Central Military Commission is still very powerful. Not surprisingly, these paradoxical developments have led students of Chinese politics to reach contrasting assessments of the nature of this political succession, the competence of the new leadership, and the implications of these factors for China’s future. This diversity of views is particularly evident regarding the ubiquitous role of mishu in the Chinese leadership. The term mishu, which literally means “secretary” in Chinese, refers to a range of people who differ significantly from each other in terms of the functions they fulfill, the leadership bodies they serve, and the responsibilities given to them. -
Occurrence of Trichophyton Verrucosum in Cattle in the Ningxia
Guo et al. BMC Veterinary Research (2020) 16:187 https://doi.org/10.1186/s12917-020-02403-6 RESEARCH ARTICLE Open Access Occurrence of Trichophyton verrucosum in cattle in the Ningxia Hui autonomous region, China Yanan Guo1, Song Ge1, Haifeng Luo1, Atif Rehman1, Yong Li2 and Shenghu He1* Abstract Background: Ningxia Hui Autonomous Region is an important cattle breeding area in China, and cattle breeding bases are located in this area. In Ningxia, dermatophytes have not been paid attention to, so dermatophytosis is becoming more and more serious. For effective control measures, it is important to determine the disease prevalence and isolate and identify the pathogenic microorganism. Results: The study showed the prevalence of dermatophytes was 15.35% (74/482). The prevalence in calf was higher than adult cattle (p < 0.05). The morbidity was the highest in winter compared with autumn (p < 0.0001), summer (p < 0.05) and spring (p < 0.0001). The prevalence in Guyuan was the highest compared with Yinchuan (p < 0.05) and Shizuishan (p < 0.05). The incidence of lesions on the face, head, neck, trunk and whole body was 20.43, 38.71, 20.43, 10.75 and 9.68%, respectively. From all samples, the isolation rate of Trichophyton was highest (61.1%). The phylogenetic tree constructed showed that the 11 pathogenic fungi were on the same branch as Trichophyton verrucosum. Conclusions: This study reports, for the first time, the presence of Trichophyton verrucosum in cattle in Ningxia and showed that the incidence of dermatophytosis is related to different regions, ages and seasons. -
See Front Matter © 2006 Published by Elsevier B.V
Tectonophysics 420 (2006) 253–266 www.elsevier.com/locate/tecto Crustal structure of the northeastern margin of the Tibetan plateau from the Songpan-Ganzi terrane to the Ordos basin ⁎ Mingjun Liu a,b, Walter D. Mooney b, , Songlin Li a,b, Nihal Okaya b, Shane Detweiler b a Geophysical Exploration Center, China Earthquake Administration, 104 Wenhua Road, Zhengzhou, Henan 450002, China b U. S. Geological Survey, 345 Middlefield Road, Menlo Park, CA 94025, USA Received 19 January 2005; received in revised form 17 October 2005; accepted 4 January 2006 Available online 5 May 2006 Abstract The 1000-km-long Darlag–Lanzhou–Jingbian seismic refraction profile is located in the NE margin of the Tibetan plateau. This profile crosses the northern Songpan-Ganzi terrane, the Qinling-Qilian fold system, the Haiyuan arcuate tectonic region, and the stable Ordos basin. The P-wave and S-wave velocity structure and Poisson's ratios reveal many significant characteristics in the profile. The crustal thickness increases from northeast to southwest. The average crustal thickness observed increases from 42 km in the Ordos basin to 63 km in the Songpan-Ganzi terrane. The crust becomes obviously thicker south of the Haiyuan fault and beneath the West-Qinlin Shan. The crustal velocities have significant variations along the profile. The average P-wave velocities for the crystalline crust vary between 6.3 and 6.4 km/s. Beneath the Songpan-Ganzi terrane, West-Qinling Shan, and Haiyuan arcuate tectonic region P-wave velocities of 6.3 km/s are 0.15 km/s lower than the worldwide average of 6.45 km/s. -
中國中鐵股份有限公司 CHINA RAILWAY GROUP LIMITED (A Joint Stock Limited Company Incorporated in the People’S Republic of China with Limited Liability) (Stock Code: 390)
Hong Kong Exchanges and Clearing Limited and The Stock Exchange of Hong Kong Limited take no responsibility for the contents of this announcement, make no representation as to its accuracy or completeness and expressly disclaim any liability whatsoever for any loss howsoever arising from or in reliance upon the whole or any part of the contents of this announcement. 中國中鐵股份有限公司 CHINA RAILWAY GROUP LIMITED (A joint stock limited company incorporated in the People’s Republic of China with limited liability) (Stock Code: 390) This overseas regulatory announcement is made pursuant to Rule 13.10B of the Rules Governing the Listing of Securities on The Stock Exchange of Hong Kong Limited. Please refer to the attached “Announcement of China Railway Group Limited on Winning of Bids for Material Projects” published by China Railway Group Limited on the Shanghai Stock Exchange website on 30 March 2020 for your information. By Order of the Board China Railway Group Limited Zhang Zongyan Chairman 30 March 2020 As at the date of this announcement, the executive directors of the Company are ZHANG Zongyan (Chairman), CHEN Yun and ZHANG Xian; the independent non-executive directors are GUO Peizhang, WEN Baoman, ZHENG Qingzhi and CHUNG Shui Ming Timpson; and the non- executive director is MA Zonglin. A Shares Stock Code: 601390 A Shares Stock Name: China Railway Announcement No.: H Shares Stock Code: 00390 H Shares Stock Name: China Railway Lin 2020-024 Announcement of China Railway Group Limited on Winning of Bids for Material Projects The board of directors of China Railway Group Limited (the “Company”) and all the directors hereby undertake that this announcement does not have any false or misleading statements or any material omissions, and assume the joint and several liabilities for the truthfulness, accuracy and completeness of the contents. -
The Case of Ningxia Autonomous Region, China
IZA DP No. 8595 Mapping and Understanding Ethnic Disparities in Length of Schooling: The Case of Ningxia Autonomous Region, China Björn Gustafsson Ding Sai October 2014 DISCUSSION PAPER SERIES Forschungsinstitut zur Zukunft der Arbeit Institute for the Study of Labor Mapping and Understanding Ethnic Disparities in Length of Schooling: The Case of Ningxia Autonomous Region, China Björn Gustafsson Göteborg University and IZA Ding Sai Chinese Academy of Social Sciences Discussion Paper No. 8595 October 2014 IZA P.O. Box 7240 53072 Bonn Germany Phone: +49-228-3894-0 Fax: +49-228-3894-180 E-mail: [email protected] Any opinions expressed here are those of the author(s) and not those of IZA. Research published in this series may include views on policy, but the institute itself takes no institutional policy positions. The IZA research network is committed to the IZA Guiding Principles of Research Integrity. The Institute for the Study of Labor (IZA) in Bonn is a local and virtual international research center and a place of communication between science, politics and business. IZA is an independent nonprofit organization supported by Deutsche Post Foundation. The center is associated with the University of Bonn and offers a stimulating research environment through its international network, workshops and conferences, data service, project support, research visits and doctoral program. IZA engages in (i) original and internationally competitive research in all fields of labor economics, (ii) development of policy concepts, and (iii) dissemination of research results and concepts to the interested public. IZA Discussion Papers often represent preliminary work and are circulated to encourage discussion.