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Landslide Susceptibility Prediction Considering Regional Soil Erosion Based on Machine-Learning Models
International Journal of Geo-Information Article Landslide Susceptibility Prediction Considering Regional Soil Erosion Based on Machine-Learning Models Faming Huang 1, Jiawu Chen 1, Zhen Du 1, Chi Yao 1,*, Jinsong Huang 2, Qinghui Jiang 1, Zhilu Chang 1 and Shu Li 3 1 School of Civil Engineering and Architecture, Nanchang University, Nanchang 330031, China; [email protected] (F.H.); [email protected] (J.C.); [email protected] (Z.D.); [email protected] (Q.J.); [email protected] (Z.C.) 2 ARC Centre of Excellence for Geotechnical Science and Engineering, University of Newcastle, Newcastle, NSW 2308, Australia; [email protected] 3 Changjiang Institute of Survey, Planning, Design and Research Co., Ltd., Wuhan 430010, China; [email protected] * Correspondence: [email protected]; Tel.: +86-1500-277-6908 Received: 20 March 2020; Accepted: 2 June 2020; Published: 8 June 2020 Abstract: Soil erosion (SE) provides slide mass sources for landslide formation, and reflects long-term rainfall erosion destruction of landslides. Therefore, it is possible to obtain more reliable landslide susceptibility prediction results by introducing SE as a geology and hydrology-related predisposing factor. The Ningdu County of China is taken as a research area. Firstly, 446 landslides are obtained through government disaster survey reports. Secondly, the SE amount in Ningdu County is calculated and nine other conventional predisposing factors are obtained under both 30 m and 60 m grid resolutions to determine the effects of SE on landslide susceptibility prediction. Thirdly, four types of machine-learning predictors with 30 m and 60 m grid resolutions—C5.0 decision tree (C5.0 DT), logistic regression (LR), multilayer perceptron (MLP) and support vector machine (SVM)—are applied to construct the landslide susceptibility prediction models considering the SE factor as SE-C5.0 DT, SE-LR, SE-MLP and SE-SVM models; C5.0 DT, LR, MLP and SVM models with no SE are also used for comparisons. -
Resettlement Plan People's Republic of China: Jiangxi Ganzhou Rural
Resettlement Plan Document Stage: Draft Project Number: 53049-001 August 2021 People’s Republic of China: Jiangxi Ganzhou Rural Vitalization and Comprehensive Environment Improvement Prepared by Ganzhou Municipal People's Government Leading Group Office for the ADB Loan Project in Ganzhou for the Asian Development Bank. CURRENCY EQUIVALENTS (as of 2 August 2021) Currency unit - yuan (CNY) CNY1.00 = US$0.1548 US$1.00 = CNY6.4615 ABBREVIATIONS ADB – Asian Development Bank AP – Affected Person CNY – Chinese Yuan DDR – Due diligence report DI – Design Institute DMS – Detailed Measurement Survey FSR – Feasibility Study Report GRM – Grievance Redress Mechanism HH – Household IA – Implementing Agency LA – Land Acquisition LURT – Land Use Right Transfer LURPI – Land Use for Rural Public Infrastructures PA – Project Area PMO – Project Management Office RP – Resettlement Plan SOL – State-Owned Land WF – Women’s Federation GLOSSARY Affected Persons – In the context of involuntary resettlement, affected persons are those who are physically displaced (relocation, loss of residential land, or loss of shelter) and/or economically displaced (loss of land, assets, access to assets, income sources, or means of livelihoods) because of (i) involuntary acquisition of land, or (ii) involuntary restrictions on land use or on access to legally designated parks and protected areas. Compensation – Money or payment given to affected persons for property, resources, and income losses. Entitlement – According to the loss’s categories of affected persons, they are entitled to get compensation, income restoration, relocation costs, income subsidies and resettlement to restore socioeconomic conditions. Income Restoration – Rebuild the affected persons’ source of income and living standard. Resettlement – Rebuild houses and properties including productive land and public facilities at another area. -
Annual Report 2019
HAITONG SECURITIES CO., LTD. 海通證券股份有限公司 Annual Report 2019 2019 年度報告 2019 年度報告 Annual Report CONTENTS Section I DEFINITIONS AND MATERIAL RISK WARNINGS 4 Section II COMPANY PROFILE AND KEY FINANCIAL INDICATORS 8 Section III SUMMARY OF THE COMPANY’S BUSINESS 25 Section IV REPORT OF THE BOARD OF DIRECTORS 33 Section V SIGNIFICANT EVENTS 85 Section VI CHANGES IN ORDINARY SHARES AND PARTICULARS ABOUT SHAREHOLDERS 123 Section VII PREFERENCE SHARES 134 Section VIII DIRECTORS, SUPERVISORS, SENIOR MANAGEMENT AND EMPLOYEES 135 Section IX CORPORATE GOVERNANCE 191 Section X CORPORATE BONDS 233 Section XI FINANCIAL REPORT 242 Section XII DOCUMENTS AVAILABLE FOR INSPECTION 243 Section XIII INFORMATION DISCLOSURES OF SECURITIES COMPANY 244 IMPORTANT NOTICE The Board, the Supervisory Committee, Directors, Supervisors and senior management of the Company warrant the truthfulness, accuracy and completeness of contents of this annual report (the “Report”) and that there is no false representation, misleading statement contained herein or material omission from this Report, for which they will assume joint and several liabilities. This Report was considered and approved at the seventh meeting of the seventh session of the Board. All the Directors of the Company attended the Board meeting. None of the Directors or Supervisors has made any objection to this Report. Deloitte Touche Tohmatsu (Deloitte Touche Tohmatsu and Deloitte Touche Tohmatsu Certified Public Accountants LLP (Special General Partnership)) have audited the annual financial reports of the Company prepared in accordance with PRC GAAP and IFRS respectively, and issued a standard and unqualified audit report of the Company. All financial data in this Report are denominated in RMB unless otherwise indicated. -
Bulliform Phytolith Research in Wild and Domesticated Rice Paddy Soil in South China
RESEARCH ARTICLE Bulliform Phytolith Research in Wild and Domesticated Rice Paddy Soil in South China Xiujia Huan1,2*, Houyuan Lu1,3*, Can Wang1,2, Xiangan Tang4, Xinxin Zuo1, Yong Ge1,2, Keyang He1,2 1 Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China, 2 University of Chinese Academy of Sciences, Beijing, China, 3 Center for Excellence in Tibetan Plateau Earth Science, Chinese Academy of Sciences, Beijing, China, 4 Soil & Fertilizer and Environmental & Resources Research Institute, Jiangxi Academy of Agricultural Sciences, Nanchang, Jiangxi Province, China * [email protected] (XH); [email protected] (HL) Abstract Bulliform phytoliths play an important role in researching rice origins as they can be used to distinguish between wild and domesticated rice. Rice bulliform phytoliths are character- OPEN ACCESS ized by numerous small shallow fish-scale decorations on the lateral side. Previous stud- Citation: Huan X, Lu H, Wang C, Tang X, Zuo X, Ge ies have shown that domesticated rice has a larger number of these decorations than wild Y, et al. (2015) Bulliform Phytolith Research in Wild rice and that the number of decorations 9 is a useful feature for identifying domesticated and Domesticated Rice Paddy Soil in South China. PLoS ONE 10(10): e0141255. doi:10.1371/journal. rice. However, this standard was established based on limited samples of modern rice pone.0141255 plants. In this study, we analyzed soil samples from both wild and domesticated rice pad- Editor: Xiaoyan Yang, Chinese Academy of dies. Results showed that, in wild rice soil samples, the proportion of bulliform phytoliths Sciences, CHINA with 9 decorations was 17.46% ± 8.29%, while in domesticated rice soil samples, the cor- ± Received: August 8, 2015 responding proportion was 63.70% 9.22%. -
Chinese Communists and Rural Society, 1927-1934
Center for Chinese Studies • CHINA RESEARCH MONOGRAPHS UNIVERSITY OF CALIFORNIA, BERKELEY NUMBER THIRTEEN CHINESE COMMUNISTS AND RURAL SOCIETY, 1927-1934 PHILIP C. C. HUANG LYNDA SCHAEFER BELL KATHY LEMONS WALKER Chinese Communists and Rural Society, 1927-1934 A publication of the Center for Chinese Studies University of California, Berkeley, California 94720 Cover Colophon by Shih-hsiang Chen Center for Chinese Studies • CHINA RESEARCH MONOGRAPHS UNIVERSITY OF CALIFORNIA, BERKELEY NUMBER THIRTEEN CHINESE COMMUNISTS AND RURAL SOCIETY, 1927-1934 PHILIP C. C. HUANG LYNDA SCHAEFER BELL KATHY LEMONS WALKER Although the Center for Chinese Studies is responsible for the selection and acceptance of monographs in this series, respon sibility for the opinions expressed in them and for the accuracy of statements contained in them rests with their authors. © 1978 by the Regents of the Universit y of California ISBN 0-912966-18-1 Library of Congress Catalog Number 78-620018 Printed in the United States of America $5.00 Contents INTRODUCTION ......... ........... .. .. ..... Philip C. C. Huang INTELLECTUALS, LUMPENPROLETARIANS, WORKERS AND PEASANTS IN THE COMMUNIST MOVEMENT.................. 5 Philip C. C. Huang AGRICULTURAL LABORERS AND RURAL REVOLUTION . 29 Lynda Schaefer Bell THE PARTY AND PEASANT WOMEN 57 Kathy LeMons Walker A COMMENT ON THE WESTE RN LITERATURE. 83 Philip C. C. Huang REFERENCES . 99 GLOSSARY . .. .......... ................. .. .. 117 LIST OF MAPS I. Revolutionary Base Areas and Guerilla Zones in 1934 2 II. The Central Soviet Area in 1934 . 6 III. Xingguo and Surrounding Counties......... .. 10 1 The Jiangxi Period : an Introduction Philip C. C. Huang The Chinese Communist movement in its early years was primarily urban-based. -
Analysis of Forest Damage Caused by the Snow and Ice Chaos Along a Transect Across Southern China in Spring 2008
J. Geogr. Sci. 2011, 21(2): 219-234 DOI: 10.1007/s11442-011-0840-y © 2011 Science Press Springer-Verlag Analysis of forest damage caused by the snow and ice chaos along a transect across southern China in spring 2008 SHAO Quanqin, HUANG Lin, LIU Jiyuan, KUANG Wenhui, LI Jia Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China Abstract: An abrupt ice and snow storm disaster which occurred in the spring of 2008 se- verely destroyed forests over a surprisingly large portion of southern China. A transect crossing Jinggang Mountain-Jitai Basin-Yushan Mountain-Wuyi Mountain was selected as the study area. The authors integrated field data collected in two field surveys to analyze the impacts of the disturbance on forests. The following results were obtained. (1) The extent of damage to plantations along the transect decreased in the order of slash pine > masson pine > mixed plantation > Chinese fir. Slash pine is an introduced species from southern America which is characterized by fast growth, low wood quality and rich oleoresin, and showed a damage rate of 61.3% of samples, of which 70.4% cannot recover naturally. Masson pine is the native pioneer species of forests with harder wood, and 52.5% were damaged due to turpentine, of which 60.9% cannot recovery naturally. Chinese fir is a local tree species and samples showed a rate of 46% and a relative rate of 32.5%, lower than the mixed plantation. (2) From west to east along the transect, we can see that evergreen broad-leaved forest of the western transect on Jinggang Mountain showed the lightest damage extent, and a Cryp- tomeria plantation at an altitude of 700 m was severely destroyed while Chinese fir showed light damage below 700 m and relatively severe damage above 900 m. -
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 ...................................................................................................................................................... -
Report and Recommendation of the President
Technical Assistance Consultant’s Report Project Number: 51013-001 February 2020 People’s Republic of China: Improving Ecological Protection and Poverty Alleviation in the Mining Area in Ganzhou, Jiangxi (Financed by the Technical Assistance Special Fund-Others) Prepared by NAREE International Limited in association with NAREE Consulting Limited Hong Kong, China For the Jiangxi Committee of the Chinese People’s Political Consultative Conference 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. NᴧREE TA-9480 PRC: Improving Ecological Protection and Poverty Alleviation Outcomes in the Mining Area in Ganzhou, Jiangxi Final Report November 2019 Submitted to: Asian Development Bank and Jiangxi People’s Political Consultative Conference Prepared by: NAREE International Limited in association with NAREE Consulting Limited Asian Development Bank TA No. 9480 PRC Improving Ecological Protection and Poverty Alleviation Outcomes in the Mining Area in Ganzhou, Jiangxi Final Report 26 November 2019 Final Report NᴧREE CURRENCY EQUIVALENTS (as of 13 September 2019) Currency Unit = yuan (CNY) $1.00 = CNY 7.0738 CNY1.00 = $0.1413 Fiscal Year January – December ABBREVIATIONS AND ACRONYMS ADB Asian Development Bank AML Abandoned Mine Lands Reclamation Fund (US) CAPEX Capital expenditure CBA Cost benefit analysis CEA Cost effectiveness analysis CERCLA Comprehensive Environmental Compensation and Liability Act (1980), US CIIT Commission of Industry -
The Chinese People's Liberation Army Signals Intelligence and Cyber
The Chinese People’s Liberation Army Signals Intelligence and Cyber Reconnaissance Infrastructure Mark A. Stokes, Jenny Lin and L.C. Russell Hsiao November 11, 2011 Cover image and below: Chinese nuclear test. Source: CCTV. | Signals Intelligence and Cyber Reconnaissance Infrastructure | About the Project 2049 Institute The Project 2049 Institute seeks to guide decision makers toward a more secure Asia by the century‘s mid-point. The organization fills a gap in the public policy realm through forward- Cover image source: GovCentral.com. looking, region-specific research on alternative Above-image source: Amcham.org.sg. security and policy solutions. Its interdisciplinary approach draws on rigorous analysis of socioeconomic, governance, military, environmental, technological and political trends, and input from key players in the region, with an eye toward educating the public and informing policy debate. www.project2049.net 1 | Signals Intelligence and Cyber Reconnaissance Infrastructure | Introduction Communications are critical to everyday life. Governments rely on communications to receive information, develop policies, conduct foreign affairs, and manage administrative affairs. Businesses rely on communications for financial transactions, conducting trade, and managing supply chains. All forms of communications, such as home and office phones, cell phones, radios, data links, email, and text messages, rely on electronic transmissions that could be monitored by a third party. In the military, commanders rely on communications to coordinate operations, for logistics support, and to maintain situational awareness. Understanding of communication networks can also enable a perpetrator to disrupt or even destroy a target‘s command and control centers should the need arise. 1 Moreover, information collected and collated from intercepted diplomatic, military, commercial and financial communications offers potential competitors an advantage on the negotiation table or battlefield. -
Clinical Characteristics and Outcomes of Hospitalised Patients with COVID-19 Treated in Hubei
Early View Original article Clinical characteristics and outcomes of hospitalised patients with COVID-19 treated in Hubei (epicenter) and outside Hubei (non- epicenter): A Nationwide Analysis of China Wen-hua Liang, Wei-jie Guan, Cai-chen Li, Yi-min Li, Heng-rui Liang, Yi Zhao, Xiao-qing Liu, Ling Sang, Ru-chong Chen, Chun-li Tang, Tao Wang, Wei Wang, Qi-hua He, Zi-sheng Chen, Sook-San Wong, Mark Zanin, Jun Liu, Xin Xu, Jun Huang, Jian-fu Li, Li-min Ou, Bo Cheng, Shan Xiong, Zhan- hong Xie, Zheng-yi Ni, Yu Hu, Lei Liu, Hong Shan, Chun-liang Lei, Yi-xiang Peng, Li Wei, Yong Liu, Ya-hua Hu, Peng Peng, Jian-ming Wang, Ji-yang Liu, Zhong Chen, Gang Li, Zhi-jian Zheng, Shao-qin Qiu, Jie Luo, Chang-jiang Ye, Shao-yong Zhu, Lin-ling Cheng, Feng Ye, Shi-yue Li, Jin-ping Zheng, Nuo-fu Zhang, Nan-shan Zhong, Jian-xing He Please cite this article as: Liang W-hua, Guan W-jie, Li C-chen, et al. Clinical characteristics and outcomes of hospitalised patients with COVID-19 treated in Hubei (epicenter) and outside Hubei (non-epicenter): A Nationwide Analysis of China. Eur Respir J 2020; in press (https://doi.org/10.1183/13993003.00562-2020). This manuscript has recently been accepted for publication in the European Respiratory Journal. It is published here in its accepted form prior to copyediting and typesetting by our production team. After these production processes are complete and the authors have approved the resulting proofs, the article will move to the latest issue of the ERJ online. -
Remote Sensing Investigation of Geological Hazards in Xingguo County, Jiangxi Province
E3S Web of Conferences 131, 01056 (2019) https://doi.org/10.1051/e3sconf/201913101056 ChinaBiofilms 2019 Remote Sensing Investigation of Geological Hazards in Xingguo County, Jiangxi Province Min Yu1,2,3, Jiangqin Chao4 1GanZhongNan Institute of Geology and Mineral Exploration, Nanchang, Jiangxi 330000, China 2Jiangxi Geo-Engineering (Group) Corporation, Nanchang, Jiangxi 330000, China; 3Central South University, Changsha, Hunan 410083, China 4Zhaotong University, Zhaotong, Kunming 657000, China Abstract. Xingguo County is located in the middle and low hilly mountainous areas. The area of the landslide, collapse and debris flow geological disasters is large. The sudden geological disasters such as landslides and mudslides caused by heavy rainfall are increasing year by year. This study mainly used high- altitude aerial imagery (0.5m) and Landsat 8 OLI satellite imagery covering Xingguo County as the data source, carried out remote sensing interpretation of geological environment background conditions and geological disasters in the whole area, and carried out on-site verification. At the same time, the correlation between the stratigraphic structure, topography and other factors in the study area and the spatial distribution characteristics of geological disaster points are discussed. The results show that: (1) based on remote sensing image interpretation of 377 geological disaster points; 83 landslide points, 229 hidden danger points, 17 collapse points, 26 hidden danger points, 1 hidden danger point, ground collapse point 1 At 20 places in the geological environment. (2) From the results of remote sensing interpretation, the types of geological disasters in the work area are mainly landslides and landslide hazards (including collapse type), and there are fewer collapses, collapses and debris flow hazards, and most landslide hazard points are unstable. -
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Social Monitoring Report Project Number: 45022-002 Semi-Annual Report August 2020 PRC: Jiangxi Ji’an Sustainable Urban Transport Project Prepared by Wu Zongfa and Zhan Zexiong 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 Internal Resettlement and Social Monitoring and Evaluation (No.10) #Semi-annual Report Aug., 2020 People’s Republic of China: ADB Loan Jiangxi Ji’an Sustainable Urban Transport Project (Loan 3216–PRC) Report Director: Wu Zongfa Report Co-compiler: Wu Zongfa, Zhan Zexiong E-mail: [email protected] 1 Project Description Ji’an city lies in the midwest Jiangxi Province. It is located at latitude 25°58′32″~27°57′50″north, longitude 113°46′ ~ 115°56′east. It borders Chongren county and Lean city of Fuzhou city, Ningdu county and Xingguo county of Ganzhou city to the east, Gan county, Nankang city and Shangyou county of Ganzhou city to the south, Guidong county, Yanling county and Chaling county of Hunan Province to the west, Fengcheng city of Yichun city, Zhangshu city, Xinyu city and Pingxiang city to the north.