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Spatial distribution analysis on water withdrawal of main energy production in China
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Science & Technology Review | 2019, 37(11) : 92 - 100
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Science & Technology Review | 2019, 37(11): 92-100
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Spatial distribution analysis on water withdrawal of main energy production in China
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DONG Donglin1, ZHANG Ruomeng1, FU Jingying2,3, LIN Gang1
Affiliations
    1. College of Geoscience and Surveying Engineering, China University of Mining & Technology(Beijing), Beijing 100083, China;
    2. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
    3. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Published: 2019-06-13 doi: 10.3981/j.issn.1000-7857.2019.11.011
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In this paper, we try to explore the relevance between energy production and water withdrawal by means of spatial autocorrelation analysis of water pressure index based on energy production in order to provide a reference for the optimal adjustment of energy structure and the sustainable development of energy and water in China. The results are as follows. At present, the high-productive areas of main energy production in China are mainly distributed in the north and east-central regions, with the energy production of 5 provinces such as Inner Mongolia and Shandong accounting for 67% of the total China's main energy production; low-productive areas appear in some provinces in the south and southwestern parts. There are differences between the spatial distributions of water withdrawal for the 5 kinds of main energy production, and basically the spatial distribution of water withdrawal for each kind is consistent with the regional distribution of energy itself. The high value areas of water pressure index based on energy production are mainly distributed in the central and northern parts of China. The spatial agglomeration analysis shows that the water pressure index based on energy production has obvious spatial concentration characteristics and the H-H concentration feature is significant.
energy structure  /  spatial differentiation  /  water pressure index based on energy production  /  spatial autocorrelation analysis
董东林, 张若萌, 付晶莹, 林刚. 中国能源生产用水的空间特征分析. 科技导报, 2019 , 37 (11) : 92 -100 . DOI: 10.3981/j.issn.1000-7857.2019.11.011
DONG Donglin, ZHANG Ruomeng, FU Jingying, LIN Gang. Spatial distribution analysis on water withdrawal of main energy production in China[J]. Science & Technology Review, 2019 , 37 (11) : 92 -100 . DOI: 10.3981/j.issn.1000-7857.2019.11.011
Year 2019 volume 37 Issue 11
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doi: 10.3981/j.issn.1000-7857.2019.11.011
  • Receive Date:2018-11-12
  • Online Date:2019-06-20
  • Published:2019-06-13
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  • Received:2018-11-12
  • Revised:2019-02-28
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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