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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. -
Preparing the Shaanxi-Qinling Mountains Integrated Ecosystem Management Project (Cofinanced by the Global Environment Facility)
Technical Assistance Consultant’s Report Project Number: 39321 June 2008 PRC: Preparing the Shaanxi-Qinling Mountains Integrated Ecosystem Management Project (Cofinanced by the Global Environment Facility) Prepared by: ANZDEC Limited Australia For Shaanxi Province Development and Reform Commission This consultant’s report does not necessarily reflect the views of ADB or the Government concerned, and ADB and the Government cannot be held liable for its contents. (For project preparatory technical assistance: All the views expressed herein may not be incorporated into the proposed project’s design. FINAL REPORT SHAANXI QINLING BIODIVERSITY CONSERVATION AND DEMONSTRATION PROJECT PREPARED FOR Shaanxi Provincial Government And the Asian Development Bank ANZDEC LIMITED September 2007 CURRENCY EQUIVALENTS (as at 1 June 2007) Currency Unit – Chinese Yuan {CNY}1.00 = US $0.1308 $1.00 = CNY 7.64 ABBREVIATIONS ADB – Asian Development Bank BAP – Biodiversity Action Plan (of the PRC Government) CAS – Chinese Academy of Sciences CASS – Chinese Academy of Social Sciences CBD – Convention on Biological Diversity CBRC – China Bank Regulatory Commission CDA - Conservation Demonstration Area CNY – Chinese Yuan CO – company CPF – country programming framework CTF – Conservation Trust Fund EA – Executing Agency EFCAs – Ecosystem Function Conservation Areas EIRR – economic internal rate of return EPB – Environmental Protection Bureau EU – European Union FIRR – financial internal rate of return FDI – Foreign Direct Investment FYP – Five-Year Plan FS – Feasibility -
Resettlement Plan (Draft)
Resettlement Plan (Draft) July 2016 PRC: Ningxia Liupanshan Poverty Reduction Rural Road Development Project Prepared by the Transportation Department of Ningxia Hui Nationality Autonomous Region for the Asian Development Bank. CURRENCY EQUIVALENTS CNY1.00 = US$0.16243 US$1.00 CNY= CNY6.1565 ABBREVIATIONS AAOV – Average Annual Output Value ADB – Asian Development Bank AHs – affected households APs – affected persons AV – administrative village CRO – County Resettlement Office DI – Design Institute DMS – Detailed Measurement Survey FS – feasibility study HD – house demolition LA – land acquisition LAB – Land and Resources Bureau LAR – Land Acquisition and Resettlement LCG – Longde County Government LCPMO – Longde County Project Management Office LEF – land-expropriated farmer L&RO – Land and Resources Office MOU – Memorandum of Understanding M&E – monitoring and evaluation NDRC – National Development and Reform Commission NHAR TD – Ningxia Hui Autonomous Region Provincial Transport Department PADO – Poverty Alleviation and Development Office PPTA – project preparatory technical assistance PRA – Participatory Rural Appraisal PRO – project resettlement office RIB – Resettlement information booklet RP – resettlement plan SES – socioeconomic survey SPS – Safeguards Policy Statement of ADB TRO – Township Resettlement Office WEIGHTS AND MEASURES km – kilometer m² – square meter mu – 666.7 m² This resettlement plan 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. Your attention is directed to the “terms of use” section of this website. 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. -
Groundwater Quality in Jingyuan County, a Semi-Humid Area in Northwest China
ISSN: 0973-4945; CODEN ECJHAO E-Journal of Chemistry http://www.e-journals.net 2011, 8(2), 787-793 Groundwater Quality in Jingyuan County, a Semi-Humid Area in Northwest China WU JIANHUA, LI PEIYUE and QIAN HUI School of Environmental Science and Engineering Chang’an University, No. 126 Yanta Road, Xi’an, Shaanxi, 710054, China [email protected] Received 19 August 2010; Accepted 8 November 2010 Abstract : Groundwater quality assessment is an essential study which plays an important role in the rational development and utilization of groundwater in any part of the world. In the study, groundwater qualities in Jingyuan County, in Ningxia, China were assessed with entropy weighted water quality index method. In the assessment, 12 hydrochemical parameters including chloride, sulphate, sodium, iron, pH, total dissolved solid (TDS), total hardness (TH), nitrate, ammonia, nitrogen, fluoride, iodine and nitrite were selected. The assessment results show that the concentrations of iodine, TH, iron and TDS are the most influencing parameters affecting the groundwater quality. The assessment results are rational and are in consistency with the results of filed investigation of which both indicates the groundwater in Jingyuan County is fit for drinking. Keywords : Water quality index, Groundwater quality assessment, Entropy weight, Jingyuan County Introduction Due to the non-availability of surface water, groundwater has become a major source for drinking purpose in many parts of the world. Jingyuan County, situated in the inland of China, mainly sources from groundwater and groundwater quality affects people’s health significantly. During the last few decades, the demand for groundwater has been increasing because of the rapid development of urbanization and rapid growth of population. -
Online Supplementary Document Song Et Al
Online Supplementary Document Song et al. Causes of death in children younger than five years in China in 2015: an updated analysis J Glob Health 2016;6:020802 Table S1. Description of the sources of mortality data in China National Mortality Surveillance System Before 2013, the Chinese CRVS included two systems: the vital registration system of the Chinese National Health and Family Planning Commission (NHFPC) (the former Ministry of Health) and the sample-based disease surveillance points (DSP) system of the Chinese Center for Disease Control and Prevention (CDC). The vital registration system was established in 1973 and started to collect data of vital events. By 2012, this system covered around 230 million people in 22 provinces, helping to provide valuable information on both mortality and COD patterns, although the data were not truly representative for the whole China [55]. DSP was established in 1978 to collect data on individual births, deaths and 35 notifiable infectious diseases in surveillance areas [56]. By 2004, there were 161 sites included in the surveillance system, covering 73 million persons in 31 provinces. The sites were selected from different areas based on a multistage cluster sampling method, leading to a very good national representativeness of the DSP [57, 58]. From 2013, the above two systems were merged together to generate a new “National Mortality Surveillance System” (NMSS), which currently covers 605 surveillance points in 31 provinces and 24% of the whole Chinese population. The selection of surveillance points was based on a national multistage cluster sampling method, after stratifying for different socioeconomic status to ensure the representativeness [17, 58]. -
Ningxia Case Study
Contents Chapter1 - General Situation of Ecological Environment and Economic Development in Ningxia 1.1 General Features of Ecological System ··············································· 6 1.2 General Features of Poverty ···························································· 13 1.3 Relation between Poverty and Ecological Environment ···························· 13 Chapter2 - Challenges of Poverty Reduction through Ecological Construction (PREC) in Ningxia 2.1 Frequent Droughts and Water Resource Deficiency ································· 18 2.2 Insufficient Integration of Environmental Factors and Low Function of Eco-system Service ······································································ 19 2.3 Increasing Conflicts between Eco-system Bearing Capacity and Economic-social Development ············································································ 20 2.4 Difficulties in Poverty Reduction through Ecological Construction ············· 21 Chapter3 - Important Measures Poverty Reduction through Ecological Construction and the Achievements in Ningxia 3.1 Optimizing Water Resource Arrangements and Upgrading Water Efficiency ···· 21 3.2 Optimizing the Arrangement of Man-power and Natural Resources ············ 22 3.3 Powerfully Pushing forward the Rehabilitation and Construction of the Beneficial Cycling System of Ecological Environment ········································ 26 3.4 Upgrading the Comprehensive Capacity of Agricultural Production ············ 29 3.5 Improving the Management of Resource ············································ -
48023-003: Ningxia Liupanshan Poverty Reduction Rural Road
Social Monitoring Report Project Number: 48023-003 Semi-Annual Report January 2019 PRC: Ningxia Liupanshan Poverty Reduction Rural Road Development Project Prepared by Hangzhou Darren Engineer Project Management Co., Ltd. Resettlement External M&E Team of the Ningxia Hui Autonomous Region Government for the People’s Republic of China and the Asian Development Bank. This social 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. Asian Development Bank Loan 3444-PRC: ADB Funded Ningxia Liupanshan Poverty Reduction Rural Road Development Project External Resettlement Monitoring and Evaluation Report No.2 (From February 2018 to 31 December 2018) Hangzhou Darren Engineer Project Management Co. Ltd. Resettlement External M&E Team January 2019 ABBREVIATIONS AAOV – Average Annual Output Value ADB – Asian Development Bank AHs – Affected Households APs – Affected Persons AV – Administrative Village CRO – County Resettlement Office DI – Design Institute DMS – Detailed Measurement Survey CRO – County Resettlement Office FS – Feasibility Study HD – House Demolition LA – Land Acquisition LAB – Land and Resources Bureau -
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 ...................................................................................................................................................... -
Spatial Distribution of Endemic Fluorosis Caused by Drinking Water in a High-Fluorine Area in Ningxia, China
Environmental Science and Pollution Research https://doi.org/10.1007/s11356-020-08451-7 RESEARCH ARTICLE Spatial distribution of endemic fluorosis caused by drinking water in a high-fluorine area in Ningxia, China Mingji Li1 & Xiangning Qu2 & Hong Miao1 & Shengjin Wen1 & Zhaoyang Hua1 & Zhenghu Ma2 & Zhirun He2 Received: 29 November 2019 /Accepted: 16 March 2020 # Springer-Verlag GmbH Germany, part of Springer Nature 2020 Abstract Endemic fluorosis is widespread in China, especially in the arid and semi-arid areas of northwest China, where endemic fluorosis caused by consumption of drinking water high in fluorine content is very common. We analyzed data on endemic fluorosis collected in Ningxia, a typical high-fluorine area in the north of China. Fluorosis cases were identified in 539 villages in 1981, in 4449 villages in 2010, and in 3269 villages in 2017. These were located in 19 administrative counties. In 2017, a total of 1.07 million individuals suffered from fluorosis in Ningxia, with more children suffering from dental fluorosis and skeletal fluorosis. Among Qingshuihe River basin disease areas, the high incidence of endemic fluorosis is in Yuanzhou District and Xiji County of Guyuan City. The paper holds that the genesis of the high incidence of endemic fluorosis in Qingshui River basin is mainly caused by chemical weathering, evaporation and concentration, and dissolution of fluorine-containing rocks around the basin, which is also closely related to the semi-arid geographical region background, basin structure, groundwater chemical character- istics, and climatic conditions of the basin. The process of mutual recharge and transformation between Qingshui River and shallow groundwater in the basin is intense. -
The Empire of Western Xia and the Tangut Economy
chapter 1 The Empire of Western Xia and the Tangut Economy Contemporary to the Song Empire, a dynastic regime of mighty power and lasting influence emerged in what is today the northwest of China. The inhab- itants of the land named their regime the ‘Great Xia Kingdom White and High,’ or simply the Kingdom of Great Xia. And since it was located to the west of the Song, it is by convention referred to in the Chinese historiographical tradition as Western Xia (1038–1227 AD). The imperial dynasty was ruled by a total of ten emperors, spanning a history of 190 years. The Tanguts stood off against the Northern Song and Khitan Liao in its early history, and later against Southern Song and Jurchen Jin. In each of the two ‘three-kingdom’ periods, it constituted a major force and played a critical role in a delicate balance of power in medi- eval China. Further adding to the complexity of imperial diplomacies in this period was the presence of the Uyghurs, Tibetans, and other ethnic groups with overlapping territories, mutual goals, and conflicting interests. The majority of the population in Western Xia was the prominent Tangut tribe of Dangxiang Qiang. During their rule, the Tanguts excelled in military power, steered a large economy, and prospered in all aspects of cultural life. Although the Tanguts built an empire not inferior to the Song, Liao, and Jin Dynasties, imperial historians of the Yuan Dynasty left the history of Xixia unchronicled. As a result, unlike the History of Song, History of Liao, and History of Jin, the vast number of Tangut historical records have not survived in the form of imperial chronicles. -
Ningxia Liupanshan Poverty Reduction Rural Road Development Project
S ocial Monitoring Report Project Number: 48023-003 May 2018 Resettlement Monitoring Report for 21 Finished Feeder Roads PRC: Ningxia Liupanshan Poverty Reduction Rural Road Development Project Submitted by Ningxia Project Management Office and Hangzhou Darren Engineer Project Management Co. Ltd. This social 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. Loan 3444-PRC: ADB Funded Ningxia Liupanshan Poverty Reduction Rural Road Development Project Resettlement Monitoring Report For 21 Rural Feeder Roads Hangzhou Darren Engineering Project Management Co., Ltd. May 2018 Table of Contents 1. Brief introductions of the project and original resettlement plan ............................... 1 1.1 Project Backgrounds.................................................................................................... 1 1.2 Introduction of the original RP .................................................................................... 1 1.3 Resettlement Due Diligence Review ......................................................................... 3 2. Progress of land occupation and progress of project -
Differential Analysis of the Efficiency of Fixed Assets Investment in The
Advances in Social Science, Education and Humanities Research, volume 375 2nd International Symposium on Social Science and Management Innovation (SSMI 2019) Differential Analysis of the Efficiency of Fixed Assets Investment in the Primary Industry in Ningxia Province Zilie Muheyat International Business School, Shaanxi Normal University, Xi’an 710119, China. [email protected] Abstract. This paper selects data from 18 counties in Ningxia province from 2003 to 2017, and uses the incremental capital-output ratio to measure the efficiency of fixed asset investment in the primary industry. Then we analyze the differences between poor and non-poor counties from the time and cross-section. The results show that from 2003 to 2017, the efficiency of fixed asset investment in the primary industry in Ningxia was significantly different between poor and non-poor counties, and poor counties was lower than non-poor counties. Therefore, there is great potential for improving the efficiency of fixed asset investment in the primary industries of poor counties. Keywords: Fixed Asset Investment in the Primary Industry; Investment Efficiency; ICOR. 1. Introduction Increasing the income of the primary industry and improving the efficiency of the primary industry are important measures to increase the comprehensive production capacity of the primary industry and maintain the coordinated and stable development of the primary industry. And it is the main driving force for the economic growth of the primary industry. The input of the primary industry includes capital, labor, technology, and management level. The investment of the primary industry includes fixed asset investment, and fixed asset investment is important material basis to change the production conditions of the primary industry, improve the comprehensive production capacity, and achieve stable development of the primary industry.