Strategies of Folk Art Entering Local Comprehensive Museums
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Landscape Analysis of Geographical Names in Hubei Province, China
Entropy 2014, 16, 6313-6337; doi:10.3390/e16126313 OPEN ACCESS entropy ISSN 1099-4300 www.mdpi.com/journal/entropy Article Landscape Analysis of Geographical Names in Hubei Province, China Xixi Chen 1, Tao Hu 1, Fu Ren 1,2,*, Deng Chen 1, Lan Li 1 and Nan Gao 1 1 School of Resource and Environment Science, Wuhan University, Luoyu Road 129, Wuhan 430079, China; E-Mails: [email protected] (X.C.); [email protected] (T.H.); [email protected] (D.C.); [email protected] (L.L.); [email protected] (N.G.) 2 Key Laboratory of Geographical Information System, Ministry of Education, Wuhan University, Luoyu Road 129, Wuhan 430079, China * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel: +86-27-87664557; Fax: +86-27-68778893. External Editor: Hwa-Lung Yu Received: 20 July 2014; in revised form: 31 October 2014 / Accepted: 26 November 2014 / Published: 1 December 2014 Abstract: Hubei Province is the hub of communications in central China, which directly determines its strategic position in the country’s development. Additionally, Hubei Province is well-known for its diverse landforms, including mountains, hills, mounds and plains. This area is called “The Province of Thousand Lakes” due to the abundance of water resources. Geographical names are exclusive names given to physical or anthropogenic geographic entities at specific spatial locations and are important signs by which humans understand natural and human activities. In this study, geographic information systems (GIS) technology is adopted to establish a geodatabase of geographical names with particular characteristics in Hubei Province and extract certain geomorphologic and environmental factors. -
A Simple Model to Assess Wuhan Lock-Down Effect and Region Efforts
A simple model to assess Wuhan lock-down effect and region efforts during COVID-19 epidemic in China Mainland Zheming Yuan#, Yi Xiao#, Zhijun Dai, Jianjun Huang & Yuan Chen* Hunan Engineering & Technology Research Centre for Agricultural Big Data Analysis & Decision-making, Hunan Agricultural University, Changsha, Hunan, 410128, China. #These authors contributed equally to this work. * Correspondence and requests for materials should be addressed to Y.C. (email: [email protected]) (Submitted: 29 February 2020 – Published online: 2 March 2020) DISCLAIMER This paper was submitted to the Bulletin of the World Health Organization and was posted to the COVID-19 open site, according to the protocol for public health emergencies for international concern as described in Vasee Moorthy et al. (http://dx.doi.org/10.2471/BLT.20.251561). The information herein is available for unrestricted use, distribution and reproduction in any medium, provided that the original work is properly cited as indicated by the Creative Commons Attribution 3.0 Intergovernmental Organizations licence (CC BY IGO 3.0). RECOMMENDED CITATION Yuan Z, Xiao Y, Dai Z, Huang J & Chen Y. A simple model to assess Wuhan lock-down effect and region efforts during COVID-19 epidemic in China Mainland [Preprint]. Bull World Health Organ. E-pub: 02 March 2020. doi: http://dx.doi.org/10.2471/BLT.20.254045 Abstract: Since COVID-19 emerged in early December, 2019 in Wuhan and swept across China Mainland, a series of large-scale public health interventions, especially Wuhan lock-down combined with nationwide traffic restrictions and Stay At Home Movement, have been taken by the government to control the epidemic. -
Present Status, Driving Forces and Pattern Optimization of Territory in Hubei Province, China Tingke Wu, Man Yuan
World Academy of Science, Engineering and Technology International Journal of Environmental and Ecological Engineering Vol:13, No:5, 2019 Present Status, Driving Forces and Pattern Optimization of Territory in Hubei Province, China Tingke Wu, Man Yuan market failure [4]. In fact, spatial planning system of China is Abstract—“National Territorial Planning (2016-2030)” was not perfect. It is a crucial problem that land resources have been issued by the State Council of China in 2017. As an important unordered and decentralized developed and overexploited so initiative of putting it into effect, territorial planning at provincial level that ecological space and agricultural space are seriously makes overall arrangement of territorial development, resources and squeezed. In this regard, territorial planning makes crucial environment protection, comprehensive renovation and security system construction. Hubei province, as the pivot of the “Rise of attempt to realize the "Multi-Plan Integration" mode and Central China” national strategy, is now confronted with great contributes to spatial planning system reform. It is also opportunities and challenges in territorial development, protection, conducive to improving land use regulation and enhancing and renovation. Territorial spatial pattern experiences long time territorial spatial governance ability. evolution, influenced by multiple internal and external driving forces. Territorial spatial pattern is the result of land use conversion It is not clear what are the main causes of its formation and what are for a long period. Land use change, as the significant effective ways of optimizing it. By analyzing land use data in 2016, this paper reveals present status of territory in Hubei. Combined with manifestation of human activities’ impact on natural economic and social data and construction information, driving forces ecosystems, has always been a specific field of global climate of territorial spatial pattern are then analyzed. -
2017 Luojia International Summer Program June 18Th - July 15Th
2017 Luojia International Summer Program June 18th - July 15th Date 9:00-12:00 14:00-17:00 Evening Airport Pick-up Jun. 18th Chinese Language Opening ceremony& Jun.19th Course 1 Free time Guided campus tour Chinese Language Chinese Language Jun.20th Course 2 Course 3 Free time Lecture 1: Chinese Language Jun.21st Free time Chinese Culture Course 4 Lecture 2: Chinese Chinese Language Free time Jun.22nd Culture Course 5 Guided city internship- Jun.23rd Guided city internship- Garden Exposition 园博园 Cruise tour on Yangtze River Lecture 3: Jun.24th Group activity Free time Chinese Culture Jun.25th 1. Take high-speed train from Wuhan to Enshi(恩施), Hubei on 25th June. Jun.26th 2. Take classes in Hubei University for Nationalities in Enshi (Taichi Practice, Tujia Jun.27th Ethnic Music 土家民族音乐, Tujia Ethnic Dance 土家民族舞蹈, Tujia Ethnic Sports 土家民族运动). Jun. 28th 3. Field Study internship in Enshi (Enshi Tusi Castle 恩施土司城, Enshi Grand Canyon 恩施 Jun. 29th Jun.30th 大峡谷, Dragon Cave 腾龙洞, Ping Ba Camp Tourism Area 坪坝营). Jul. 1st 4. Come back to Wuhan on 1st July. Chinese Language Jul.2nd Group activity Free time Course 6 Lecture 4: Chinese Language Jul.3rd Chinese Culture(test) Free time Course 7 Jul.4th Guided city internship- Cool Village 清凉寨 Chinese Language Chinese Language Free time Jul.5th Course 8 Course 9 Date 9:00-12:00 14:00-17:00 Evening Guided city internship (to be Guided city internship- confirmed)-Wuhan Han Jul.6th Chinese Calligraphy Hubei Provincial Museum Show Theatre (Performance Appreciation) Chinese Language Chinese Language Jul.7th -
Are China's Water Resources for Agriculture Sustainable? Evidence from Hubei Province
sustainability Article Are China’s Water Resources for Agriculture Sustainable? Evidence from Hubei Province Hao Jin and Shuai Huang * School of Public Economics and Administration, Shanghai University of Finance and Economics, Shanghai 200433, China; [email protected] * Correspondence: [email protected]; Tel.: +86-21-65903686 Abstract: We assessed the sustainability of agricultural water resources in Hubei Province, a typical agricultural province in central China, for a decade (2008–2018). Since traditional evaluation models often consider only the distance between the evaluation point and the positive or negative ideal solution, we introduce gray correlation analysis and construct a new sustainability evaluation model. Our research results show that only one city had excellent sustainable development capacity of agricultural water resources, and the evaluation value of eight cities fluctuated by around 0.5 (the median of the evaluation result), while the sustainable development capacity of agricultural water resources in other cities was relatively poor. Our findings not only reflect the differences in the natural conditions of water resources among various cities in Hubei, but also the impact of the cities’ policies to ensure efficient agricultural water use for sustainable development. The indicators and methods Citation: Jin, H.; Huang, S. Are in this research are not difficult to obtain in most countries and regions of the world. Therefore, the China’s Water Resources for indicator system we have established by this research could be used to study the sustainability of Agriculture Sustainable? Evidence agricultural water resources in other countries, regions, or cities. from Hubei Province. Sustainability 2021, 13, 3510. https://doi.org/ Keywords: water resources; agricultural water resources; sustainability; gray correlation analysis; 10.3390/su13063510 evaluation model Academic Editors: Daniela Malcangio, Alan Cuthbertson, Juan 1. -
Supplementary Data
Supplementary data Figures Figure S1 Figure S1 Top cities with the highest migrants before Spring Festival A-C, Top cities with highest migrant on Jan 22, 2020. D-F, Top cities with highest migrant on Jan 23, 2020. G-I, Top cities with highest migrant on Jan 24, 2020. A, D, G, Top 50 hot cities with high export migrants; B, E, H, Top 10 cities with high export migrant; C, F, I, Top 10 cities with high import migrants. Figure S2 Figure S2 Migration and transport index during spring festival A, Emigration from Wuhan City on Jan 23, 2020; B, Emigration from Hubei province on Jan 23, 2020; C, Traffic congestion index during 7-day festival holiday in 2020 and 2019; D, Population mobility index during 7-day festival holiday in 2020 and 2019. Tables Table S1 Hot spot value and relative risk with case number and incidence Case Number Incidence City Name Hot value Relative Risk Hot value Relative Risk Trend Huanggang 0.7201 0.133 0.4678 0.485 Ezhou City 0.5833 0.346 0.4714 0.5067 Suizhou 0.4106 0.8371 0.4739 0.4732 Wuhan 0.7822 1.77E-04 0.4766 0.4987 Yellowstone 0.6053 0.4126 0.4822 0.4702 Xiangyang 0.3047 0.8646 0.4933 0.5275 Xiaogan 0.6284 0.536 0.4941 0.4689 Xianning 0.5739 0.5933 0.4946 0.484 Tianmen 0.4501 0.5174 0.5035 0.4792 Qianjiang 0.3958 0.4191 0.504 0.4736 Shiyan 0.3538 0.8206 0.5064 0.5596 Jingzhou 0.5947 0.2856 0.5101 0.4826 Xiantao 0.5631 0.1536 0.5115 0.4868 Jingmen 0.4774 0.7351 0.5278 0.501 Yichang 0.3634 0.7426 0.5324 0.5537 Enshi 0.369 0.7142 0.5378 0.5239 Table S2 Migration index of Wuhan city and Hubei province in 2020 and -
Empirical Research on the Impact of Real Estate on Economic Development
Journal of Mathematical Finance, 2021, 11, 246-254 https://www.scirp.org/journal/jmf ISSN Online: 2162-2442 ISSN Print: 2162-2434 Empirical Research on the Impact of Real Estate on Economic Development Shichang Shen School of Mathematics and Statistics, Qinghai Nationalities University, Xining, China How to cite this paper: Shen, S.C. (2021) Abstract Empirical Research on the Impact of Real Estate on Economic Development. Journal Real estate development investment has a significant impact on economic of Mathematical Finance, 11, 246-254. development. Based on data from 17 prefecture-level cities and prefectures in https://doi.org/10.4236/jmf.2021.112014 Hubei Province from 2002 to 2018, the relationship between real estate de- Received: March 5, 2021 velopment investment and economic growth is analyzed with the help of Accepted: May 14, 2021 panel data models. The study found that there is a long-term equilibrium re- Published: May 17, 2021 lationship between the two, and there are regional differences in the impact of real estate development investment on economic growth in Hubei Province. Copyright © 2021 by author(s) and Scientific Research Publishing Inc. Among them, Wuhan has the largest impact and Shennongjia forest area has This work is licensed under the Creative the smallest impact. The impact of real estate development investment on Commons Attribution International economic growth depends on the level of regional economic development. License (CC BY 4.0). http://creativecommons.org/licenses/by/4.0/ Keywords Open Access Real Estate, Economic Growth, Panel Data Model 1. Introduction The real estate industry has been on the rise for many years. -
Global Map of Irrigation Areas CHINA
Global Map of Irrigation Areas CHINA Area equipped for irrigation (ha) Area actually irrigated Province total with groundwater with surface water (ha) Anhui 3 369 860 337 346 3 032 514 2 309 259 Beijing 367 870 204 428 163 442 352 387 Chongqing 618 090 30 618 060 432 520 Fujian 1 005 000 16 021 988 979 938 174 Gansu 1 355 480 180 090 1 175 390 1 153 139 Guangdong 2 230 740 28 106 2 202 634 2 042 344 Guangxi 1 532 220 13 156 1 519 064 1 208 323 Guizhou 711 920 2 009 709 911 515 049 Hainan 250 600 2 349 248 251 189 232 Hebei 4 885 720 4 143 367 742 353 4 475 046 Heilongjiang 2 400 060 1 599 131 800 929 2 003 129 Henan 4 941 210 3 422 622 1 518 588 3 862 567 Hong Kong 2 000 0 2 000 800 Hubei 2 457 630 51 049 2 406 581 2 082 525 Hunan 2 761 660 0 2 761 660 2 598 439 Inner Mongolia 3 332 520 2 150 064 1 182 456 2 842 223 Jiangsu 4 020 100 119 982 3 900 118 3 487 628 Jiangxi 1 883 720 14 688 1 869 032 1 818 684 Jilin 1 636 370 751 990 884 380 1 066 337 Liaoning 1 715 390 783 750 931 640 1 385 872 Ningxia 497 220 33 538 463 682 497 220 Qinghai 371 170 5 212 365 958 301 560 Shaanxi 1 443 620 488 895 954 725 1 211 648 Shandong 5 360 090 2 581 448 2 778 642 4 485 538 Shanghai 308 340 0 308 340 308 340 Shanxi 1 283 460 611 084 672 376 1 017 422 Sichuan 2 607 420 13 291 2 594 129 2 140 680 Tianjin 393 010 134 743 258 267 321 932 Tibet 306 980 7 055 299 925 289 908 Xinjiang 4 776 980 924 366 3 852 614 4 629 141 Yunnan 1 561 190 11 635 1 549 555 1 328 186 Zhejiang 1 512 300 27 297 1 485 003 1 463 653 China total 61 899 940 18 658 742 43 241 198 52 -
Modelling the Effects of Wuhan's Lockdown During COVID-19, China
Research Modelling the effects of Wuhan’s lockdown during COVID-19, China Zheming Yuan,a Yi Xiao,a Zhijun Dai,a Jianjun Huang,a Zhenhai Zhangb & Yuan Chenb Objective To design a simple model to assess the effectiveness of measures to prevent the spread of coronavirus disease 2019 (COVID-19) to different regions of mainland China. Methods We extracted data on population movements from an internet company data set and the numbers of confirmed cases of COVID-19 from government sources. On 23 January 2020 all travel in and out of the city of Wuhan was prohibited to control the spread of the disease. We modelled two key factors affecting the cumulative number of COVID-19 cases in regions outside Wuhan by 1 March 2020: (i) the total the number of people leaving Wuhan during 20–26 January 2020; and (ii) the number of seed cases from Wuhan before 19 January 2020, represented by the cumulative number of confirmed cases on 29 January 2020. We constructed a regression model to predict the cumulative number of cases in non-Wuhan regions in three assumed epidemic control scenarios. Findings Delaying the start date of control measures by only 3 days would have increased the estimated 30 699 confirmed cases of COVID-19 by 1 March 2020 in regions outside Wuhan by 34.6% (to 41 330 people). Advancing controls by 3 days would reduce infections by 30.8% (to 21 235 people) with basic control measures or 48.6% (to 15 796 people) with strict control measures. Based on standard residual values from the model, we were able to rank regions which were most effective in controlling the epidemic. -
Week 5 Report (July 2 – July 8) Prepared By: Zachary Parra
US-China Collaboration on Landslide Research and Student Training Week 5 Report (July 2 – July 8) Prepared By: Zachary Parra Week 5 marked the conclusion of the two-week Chinese Language and Culture class at China University of Geosciences in Wuhan. It also marks the beginning of the students’ time in Zigui. July 2 Today, under the guidance of several China University of Geosciences (CUG) volunteers, University of Houston students visited several well-known destinations throughout Wuhan. In the morning, students visited the Yellow Crane Tower located on the eastern bank of the Yangtze River. The Yellow Crane Tower has existed in several forms since AD 223. Its current state, rebuilt in 1981, offers stunning views of Wuhan in all directions. For lunch, the group traveled to Hubuxiang, a famous walking food street in the city. Upon finishing lunch at Hubuxiang, the group proceeded to take a local ferry across the Yangtze River in order to get to Hankou. Hankou is home to the longest walking-commercial street in all of China, Jianghan Road. Here, students were able to explore the wide variety of Chinese and international commercial business and break for dinner. Lastly, the students returned back to the CUG campus via subway. Overall, the day was full of scenic sites and memories. The only regret is that the day-lasting overcast prevented ideal photograph conditions! (Left) Group photograph taken in front of the Yellow Crane Tower. (Right) Beautiful painted mural displayed on the ground floor of the Yellow Crane Tower. Panoramic photograph taken atop the Yellow Crane Tower facing westward toward the Yangtze River and Hankou. -
2015 Luojia International Summer Program
2015 Luojia International Summer Program June 21st - July 18th Date 9:00-12:00 14:00-17:00 Evening Jun. 21st Airport Pick-up Opening ceremony: Guided city internship- Guided city internship - Jun.22nd Guided campus tour Gude Buddhist Temple Cruise tour on Yangtze River Lecture 1: Chinese Language Jing-Chu Culture Free time Jun.23rd Course 1 Jun.24th Chinese Language Taichi Practice Free time Course 2 Chinese Language Lecture 2: Jun.25th Course 3 Jing-Chu Culture Free time Jun.26th Free time Chinese Language Course Free time 4 (group activity- Yellow Crane Tower) Jun.27th Guided city internship- Hubei Provincial Museum, Hubuxiang Jun.28th Free time Jun.29th Lecture 3: Taichi Practice Free time Ba-Shu Culture Jun.30th Chinese Language Guided internship of a Free time Course 5 local enterprise(Wuhan Iron and Steel corporation) Jul.1st Lecture 4: Taichi Practice Free time Ba-Shu Culture Jul.2nd Chinese Language Paper-cutting course Free time Course 6 Jul.3rd Jul.4th Excursion to Chengdu (birthplace of Ba-Shu Culture) Jul.5th Jul. 6th Jul.7th Lecture 5: Lecture 6: Free time Liu Xueyuan: Liu Xueyuan: Chinese Economy & Chinese Economy & the the World Financial World Financial Crisis Crisis Chinese Language Preparation for test Free time Jul.8th Course 7 Jul.9th Chinese Language Liu Xueyuan: Free time Course 8 Chinese Economy & the World Financial Crisis-seminar Chinese Painting Chinese Language Course Guided city internship Jul.10th 9 (group activity)–Han -Wuhan Han Show Theatre Street (Performance Appreciation) Jul.11th Free time Jul.12th Chinese Language Chinese Language Course Free time Course 10 11 Jul.13th Chinese language Preparation for test Free time Course 12 (test) Jul.14th Final exam: Seminar Free time Jul.15th Guided tour of Shanghai Jul.16th Jul.17th Jul.18th Departure Background Information City Exploration----- Wuhan *Gude Buddhist Temple: A historical Buddhist temple built in Hankou in 1877. -
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].