Adaptive Optimal Allocation of Water Resources Response to Future Water
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Stable Hydrogen and Oxygen Isotope Characteristics of Bottled Water in China: a Consideration of Water Source
Stable Hydrogen and Oxygen Isotope Characteristics of Bottled Water in China: A Consideration of Water Source Supplementary Materials: Table 1. Inventory of sampling stations. Ave.(‰) σ(‰) Brand Source site Origin Lon./° Lat./° Alt/m Date δ2H δ18O δ2H δ18O Daqishanquan Tonglu spring 119.72 29.77 158.41 −31.3 −5.53 − − 2015.5.22 Bamaboquan Bama spring 107.25 24.14 244.08 −46.3 −6.99 − − 2015.6.6 1626.9 Baishite Lanzhou spring 103.81 36.02 −63.06 −9.61 − − 2015.4.22 5 Wudangshanqu Danjiangkou spring 111.48 32.55 147.41 −18.75 −3.86 − − 2015.3.11 an Xiaoyushanquan Guantao spring 115.30 36.53 43.33 −65.01 −9.24 − − 2015.7.05 2015.4.24 2015.5.31 Lao Shan (4) Qingdao spring 120.68 36.20 4.06 −50.87 −7.65 0.36 0.09 2015.7.16 2015.5.20 Shenshuiyu Sishui spring 117.30 35.55 340.20 −63.66 −8.88 - - 2015.6.27 2015.5.20 HOSANMI (2) Haikou spring 110.01 19.7 63.46 −45.80 −6.99 0.05 0.00 2015.6.09 2015.1.07 1062.5 −107.0 AER (3) Arxan spring 119.94 47.19 −14.58 1.96 0.71 2015.3.29 8 8 2015.5.07 2695.2 2015.6.04 Angsiduo (2) Haidong spring 102.13 36.20 −57.37 −8.73 0.08 0.08 3 2015.6.01 Nongfu Spring Changbai 2015.8.09 spring 127.84 42.52 738.31 −94.15 −13.6 0.33 0.04 (2) Shan 2015.8.10 2014.11.04 Evergrande ice Changbai 2720.5 2015.3.06 spring 127.88 41.99 −86.00 −12.22 0.34 0.11 spring (4) Shan 2 2015.4.11 2015.8.17 2015.4.02 2015.7.09 ALKAQUA (4) Antu spring 128.17 42.48 655.72 −98.68 −13.88 0.02 0.02 2015.7.10 2015.9.06 Master Kong Yanbian spring 129.52 42.90 183.16 −85.54 −12.06 - - 2015.6.04 Yaquan Hotan spring 79.92 37.12 1379 −43.23 −7.12 - -
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. -
Journal of Hydrology 569 (2019) 218–229
Journal of Hydrology 569 (2019) 218–229 Contents lists available at ScienceDirect Journal of Hydrology journal homepage: www.elsevier.com/locate/jhydrol Water quality variability in the middle and down streams of Han River under the influence of the Middle Route of South-North Water diversion T project, China ⁎ Yi-Ming Kuoa,1, , Wen-wen Liua,1, Enmin Zhaoa, Ran Lia, Rafael Muñoz-Carpenab a School of Environmental Studies, China University of Geosciences, Wuhan 430074, China b Department of Agricultural and Biological Engineering-IFAS, University of Florida, Gainesville, FL, USA ARTICLE INFO ABSTRACT This manuscript was handled by Huaming Guo, The middle and down streams of Han River are complex river systems influenced by hydrologic variations, Editor-in-Chief, with the assistance of Chong- population distributions, and the engineering projects. The Middle Route of China’s South-to-North Water Yu Xu, Associate Editor Transfer (MSNW) project planned to transfer 95 billion m3 annually from Han River to north China. The op- Keywords: eration of the MSNW project may alter the flow rate and further influence the water quality of Han River. This Min/max autocorrelation factor analysis study used min/max autocorrelation factor analysis (MAFA) and dynamic factor analysis (DFA) to analyze Dynamic factor analysis spatio-temporal variations of the water quality variables in three typical tributary-mainstream intersection zones Han River in Han River from June 2014 to April 2017. MAFA results showed that chlorophyll-a (Chl-a), chemical oxygen Flow rate − demand (COD), suspend solid (SS) and phosphate (PO 3 ) (represented as trophic dynamics) are main con- Water transfer 4 cerned water quality variables in densely populated zones (Zones 1 and 3), and total nitrogen (TN), nitrate Water quality variation − 3− nitrogen (NO3 ), COD, and PO4 (regarded as nutrient formations dynamics) represent the underlying water quality variations in agricultural cultivation zone (Zone 2). -
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. -
This Article Appeared in a Journal Published by Elsevier. The
This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier’s archiving and manuscript policies are encouraged to visit: http://www.elsevier.com/copyright Author's personal copy Energy for Sustainable Development 14 (2010) 238–244 Contents lists available at ScienceDirect Energy for Sustainable Development Household level fuel switching in rural Hubei Wuyuan Peng a,⁎, Zerriffi Hisham b, Jiahua Pan c a School of Economic Management, China University of Geosciences (Wuhan Campus), 388 Lumo Road, Hongshan District, Wuhan, Zip code 430074, China b Liu Institute for Global Issues, University of British Columbia, Vancouver, Canada c Research Centre for Sustainable Development, Chinese Academy of Social Sciences, Beijing, China article info abstract Article history: The majority of rural residents in China are dependent on traditional fuels, but the quality and quantity of Received 3 July 2010 existing data on the process of fuel switching in rural China are insufficient to have a clear picture of current Accepted 3 July 2010 conditions and a well-grounded outlook for the future. Based on an analysis of a rural household survey data in Hubei province in 2004, we explore patterns of residential fuel use within the conceptual framework of Keywords: fuel switching using statistical approaches. -
Preferred Hierarchical Control Strategy of Non-Point Source Pollution at Regional Scale
Preferred Hierarchical Control Strategy of Non-Point Source Pollution at Regional Scale Weijia Wen Chinese Academy of Sciences Innovation Academy for Precision Measurement Science and Technology Yanhua Zhuang ( [email protected] ) Institute of Geodesy and Geophysics Chinese Academy of Sciences https://orcid.org/0000-0002-7041- 1118 Liang Zhang Chinese Academy of Sciences Innovation Academy for Precision Measurement Science and Technology Sisi Li Chinese Academy of Sciences Innovation Academy for Precision Measurement Science and Technology Shuhe Ruan Chinese Academy of Sciences Innovation Academy for Precision Measurement Science and Technology Qinjing Zhang Wuhan University Research Article Keywords: Non-point source (NPS) pollution, Critical periods (CPs), Critical source areas (CSAs), Dual- structure export empirical model, Point density analysis (PDA), Management Posted Date: February 18th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-193825/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License 1 Preferred hierarchical control strategy of non-point source pollution at regional scale 2 3 Author names and affiliations 4 Weijia Wen1,2, Yanhua Zhuang1*, Liang Zhang1, Sisi Li1, Shuhe Ruan1,2, Qinjing Zhang3 5 1 Hubei Provincial Engineering Research Center of Non-Point Source Pollution Control, Innovation 6 Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 7 430077, Peoples R China 8 2 University of Chinese Academy of Sciences, Beijing -
Multitemporal Landsat Image Based Water Quality Analyses of Danjiangkou Reservoir
Multitemporal Landsat Image Based Water Quality Analyses of Danjiangkou Reservoir Yinuo Zhang, Xin Huang, Wei Yin, and Dun Zhu Abstract Danjiangkou Reservoir (DJKR) is one of the largest artificial In addition, DJKR is one of the water sources of “NongFu freshwater lakes in Asia and a water source of the South: Spring”, which has been one of the most popular drinking wa- the North Water Transfer Project. However, few studies have ter brands of China since 1996 and produces over 0.6 million analyzed the spatio-temporal water quality distribution or tons of natural drinking water annually. The water quality of investigated the causative factors of the long-term water qual- DJKR directly affects the drinking water security of hundreds ity variation of DJKR. In this study, we used multi-temporal of millions of Chinese people and the implementation of the Landsat images combined with the multiple linear stepwise largest-ever water transfer project. Therefore, periodic and ef- regression (MLSR) method to retrieve long-term distributions of ficient water quality monitoring in DJKR is urgently needed. the main water quality parameters in DJKR, i.e., total nitrogen Traditional in-situ measurements are able to provide (TN), total phosphorus (TP), permanganate index (CODMn), details of the optical properties of water, and they provide and five-day biochemical oxygen demand (BOD5). Results accurate data at fixed sample sites inDJKR . Nevertheless, this indicated the heavily polluted regions and an alarming water approach is not only costly and time-consuming, but also quality deterioration trend between May 2006 and May 2014. restricted by natural conditions, e.g. -
Hubei Province Overview
Mizuho Bank China Business Promotion Division Hubei Province Overview Abbreviated Name E Provincial Capital Wuhan Administrative 12 cities, 1 autonomous Divisions prefecture, and 64 counties Secretary of the Li Hongzhong; Provincial Party Wang Guosheng Committee; Mayor 2 Size 185,900 km Shaanxi Henan Annual Mean Hubei Anhui 15–17°C Chongqing Temperature Hunan Jiangxi Annual Precipitation 800–1,600 mm Official Government www.hubei.gov.cn URL Note: Personnel information as of September 2014 [Economic Scale] Unit 2012 2013 National Share (%) Ranking Gross Domestic Product (GDP) 100 Million RMB 22,250 24,668 9 4.3 Per Capita GDP RMB 38,572 42,613 14 - Value-added Industrial Output (enterprises above a designated 100 Million RMB 9,552 N.A. N.A. N.A. size) Agriculture, Forestry and Fishery 100 Million RMB 4,732 5,161 6 5.3 Output Total Investment in Fixed Assets 100 Million RMB 15,578 20,754 9 4.7 Fiscal Revenue 100 Million RMB 1,823 2,191 11 1.7 Fiscal Expenditure 100 Million RMB 3,760 4,372 11 3.1 Total Retail Sales of Consumer 100 Million RMB 9,563 10,886 6 4.6 Goods Foreign Currency Revenue from Million USD 1,203 1,219 15 2.4 Inbound Tourism Export Value Million USD 19,398 22,838 16 1.0 Import Value Million USD 12,565 13,552 18 0.7 Export Surplus Million USD 6,833 9,286 12 1.4 Total Import and Export Value Million USD 31,964 36,389 17 0.9 Foreign Direct Investment No. -
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 -
Background Report on Low Carbon Strategies and Policies In
Background Report on Low-Carbon Development Strategies and Policies in Wuhan City , China Submitted by Green Innovative Development Center (iGDP) 2017-12 Contents 1. Preface........................................................................................................ 3 2. City Profile ................................................................................................. 6 3. Key Driving Factors Behind Wuhan’s Carbon Dioxide Emissions ......... 11 3.1 Demography ................................................................................... 12 3.2 Economic Growth and Structure .................................................... 13 3.3 Energy Consumption ..................................................................... 15 4.4 Carbon Dioxide Emissions ............................................................ 17 4. Low-Carbon Development Strategies and Policy Practices .................... 17 4.1 Low-Carbon Management System ................................................ 19 4.2 Key Areas ....................................................................................... 20 4.2.1 The Energy System ............................................................. 20 4.2.2 Industry ............................................................................... 22 4.2.3 Buildings ............................................................................. 26 4.2.4 Transportation ..................................................................... 28 4.2.5 Environment and Land Use ............................................... -
COVID-19 Situation Report #7
COVID-19 Situation Report #7 February 27, 2020 Key Updates • The number of new COVID-19 cases outside of China has exceeded number of new cases reported in China for the first time. • More than 14 new countries have reported cases since February 22. • United Airlines and Project HOPE are partnering to procure and deliver 15 ventilators to 11 hospitals in Hubei Province in coming days. • Project HOPE is procuring and preparing for the distribution of critically needed medical equipment including medical air compressors, defibrillators and Staff member of the quarantine unit at patient monitors for hospitals in Wuhan. Shanghai Children's Medical Center • In response to the increase in global cases, HOPE is expanding its response strategy to include pandemic preparedness activities. Response Tracker Situation Overview Facilitated the distribution of PPE and supplies including more than: • 4.2 million face masks Rise in Number of Cases Outside of China • 87,000 isolation gowns On February 25, the number of new cases of COVID-19 reported • 20,300 protective coveralls outside of China exceeded the number of new cases in China for • 273,000 pairs of exam gloves the first time.i The total number of cases globally is now 82,604 and 2,810 deaths. Of these, 4,106 cases and 66 deaths have Supplies delivered to more than 22 hospitals across Hubei been reported outside of mainland China across 49 countries Province (17+), Shanghai, Yunan and territories as well as the Diamond Cruise Ship.ii Province, Jiangsu Province, Anhui Province, Sichuan Province Since February 22, more than 14 new countries have reported cases of COVID-19 including: Lebanon, Israel, Kuwait, Algeria, Upcoming distributions iii • 15 ventilators and 12 medical Austria, Croatia, Switzerland, Brazil , Afghanistan, Denmark, air compressors iv Estonia, Norway, Romania and Iraq. -
Research on Urban Network of Wuhan Metropolitan Area in China Based on Social Network Analysis
International Journal of Culture and History, Vol. 3, No. 1, March 2017 Research on Urban Network of Wuhan Metropolitan Area in China Based on Social Network Analysis Jing-Xin Nie, Ya-Ping Huang, and Pei Chen according to enterprise organizations [22], [23]. Abstract—This article is based on the retrospect of theoretical The essence of urban network is intercity relation, and way and analysis method of town correlation measure, relational data is always applied in urban network research. summarized the advantages and disadvantages. Then the article With the rapid development of information and proposed the social network analysis method with network data of express, in order to analyze the town correlation measure. communication technology, distance of space and time Taking Wuhan metropolitan area in china as practical between cities is greatly compressed, and the connections experiment objects, and found out the network characteristics of between cities are more and more closely. Excavating it, which dominance and polarization coexisted, axes and relational data has become a new trend in research of urban corridors gathered in space. In the view of social network, the network. Social Network Analysis, SNA for short, is a urban system of Wuhan metropolitan area has not been methodology which describes the whole form, characteristics completed, though the inner core group has formed, but the connection between the low-level nodes is not strong enough. and structure of network. SNA has obvious advantage in relation expression; a network can be regarded either as a Index Terms—Express network, social network analysis, whole or a part, so that reveals the integration and hierarchy of Wuhan metropolitan area, urban network.