Resources Science ›› 2020, Vol. 42 ›› Issue (12): 2261-2273.doi: 10.18402/resci.2020.12.01
SUN Siao1,2(), TANG Qiuhong2,3
Received:
2020-02-10
Revised:
2020-05-27
Online:
2020-12-25
Published:
2021-02-25
SUN Siao, TANG Qiuhong. Spatiotemporal patterns and driving factors of water resources use in the Yellow River Basin[J].Resources Science, 2020, 42(12): 2261-2273.
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Table 1
Water use and socioeconomic data of the sub-catchments of the Yellow River Basin, 2003-2015"
二级流域 | 面积/km2 | 流域内用水量/ (亿m3/年) | 流域外取水/ (亿m3/年) | 流域内农业 用水占比/% | 流域内工业 用水占比/% | 流域内生活 用水占比/% | 人口/ 万人 | GDP/ (亿元/年) | 农业GDP 占比/% | 工业GDP 占比/% |
---|---|---|---|---|---|---|---|---|---|---|
龙羊峡以上 | 131341 | 2.2 | 0 | 83.8 | 5.5 | 10.4 | 113.0 | 836.9 | 10.7 | 53.2 |
龙羊峡至兰州 | 91090 | 34.0 | 0 | 66.3 | 20.9 | 11.2 | 968.3 | 2746.4 | 12.1 | 45.9 |
兰州至河口镇 | 152581 | 178.9 | 2.1 | 86.0 | 8.4 | 4.0 | 1911.7 | 8012.4 | 9.0 | 49.3 |
河口镇至龙门 | 122335 | 18.2 | 0 | 60.2 | 22.5 | 14.5 | 1094.0 | 5975.2 | 8.9 | 53.2 |
龙门至三门峡 | 191108 | 102.1 | 0.2 | 62.7 | 18.0 | 17.1 | 5384.6 | 13217.9 | 9.8 | 52.6 |
三门峡至花园口 | 41694 | 23.6 | 14.0 | 49.5 | 32.9 | 15.0 | 2220.7 | 11620.5 | 7.1 | 54.3 |
花园口以下 | 22621 | 44.8 | 81.1 | 77.5 | 9.9 | 8.1 | 2477.8 | 12926.8 | 7.3 | 55.3 |
内流区 | 42270 | 4.4 | 0 | 85.6 | 8.2 | 3.9 | 49.1 | 1875.6 | 7.0 | 59.3 |
黄河流域 | 795040 | 408.2 | 97.3 | 74.2 | 13.9 | 9.3 | 14219.2 | 57211.6 | 8.5 | 53.1 |
Table 2
Total and per capita water use in the Yellow River Basin, 2003-2015"
年份 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
流域年用水总量/亿m3 | 429.1 | 444.2 | 464.9 | 512.1 | 484.9 | 491.0 | 524.5 | 512.1 | 564.2 | 523.5 | 514.8 | 534.8 | 570.1 |
流域外年用水/亿m3 | 73.0 | 68.1 | 69.7 | 96.6 | 85.5 | 92.5 | 102.1 | 105.8 | 115.7 | 112.5 | 107.6 | 116.7 | 119.4 |
人均年用水量/m3 | 321.6 | 340.6 | 356.6 | 345.3 | 306.7 | 285.2 | 283.3 | 252.4 | 275.2 | 251.2 | 248.9 | 254.8 | 278.0 |
Table 3
Mann-Kendall trend analysis results for total and per capita water use in Yellow River sub-basins, 2003-2015"
流域 | 用水总量 | 人均用水量 | |||
---|---|---|---|---|---|
Z | p-value/% | Z | p-value/% | ||
龙羊峡以上 | 2.2 | 1.40 | -3.6 | 0.02 | |
龙羊峡至兰州 | -2.6 | 0.44 | -4.1 | 0.00 | |
兰州至河口镇 | 1.2 | 12.32 | -2.3 | 1.20 | |
河口镇至龙门 | 3.5 | 0.03 | 0.2 | 42.74 | |
龙门至三门峡 | 3.7 | 0.01 | 2.7 | 0.30 | |
三门峡至花园口 | 0.9 | 18.01 | -2.5 | 0.62 | |
花园口以下 | 2.6 | 0.44 | -2.7 | 0.30 | |
内流区 | 2.1 | 1.90 | 1.5 | 6.36 | |
黄河流域整体 | 3.0 | 0.14 | -3.0 | 0.14 |
[1] | 王玉娟, 王树东, 杨胜天, 等. 黄河流域植被生态用水过程动态模拟[J]. 自然资源学报, 2014,29(3):431-440. |
[ Wang Y J, Wang S D, Yang S T, et al. Dynamic simulation of vegetation eco-water of the Yellow River Basin[J]. Journal of Natural Resources, 2014,29(3):431-440.] | |
[2] | 金凤君, 马丽, 许堞. 黄河流域产业发展对生态环境的胁迫诊断与优化路径识别[J]. 资源科学, 2020,42(1):127-136. |
[ Jin F J, Ma L, Xu D. Environmental stress and optimized path of industrial development in the Yellow River Basin[J]. Resources Science, 2020,42(1):127-136.] | |
[3] | 贾绍凤, 梁媛. 新形势下黄河流域水资源配置战略调整研究[J]. 资源科学, 2020,42(1):29-36. |
[ Jia S F, Liang Y. Suggestions for strategic allocation of the Yellow River water resources under the new situation[J]. Resources Science, 2020,42(1):29-36.] | |
[4] | 刘华军, 乔列成, 孙淑惠. 黄河流域用水效率的空间格局及动态演进[J]. 资源科学, 2020,42(1):57-68. |
[ Liu H J, Qiao L C, Sun S H. Spatial distribution and dynamic change of water use efficiency in the Yellow River Basin[J]. Resources Science, 2020,42(1):57-68.] | |
[5] |
杨大文, 李翀, 倪广恒, 等. 分布式水文模型在黄河流域的应用[J]. 地理学报, 2004,59(1):143-154.
doi: 10.11821/xb200401018 |
[ Yang D W, Li C, Ni G H, et al. Application of a distributed hydrological model to the Yellow River Basin[J]. Acta Geographica Sinica, 2004,59(1):143-154.] | |
[6] |
史建国, 严昌荣, 何文清, 等. 黄河流域水分亏缺时空格局变化研究[J]. 自然资源学报, 2008,23(1):113-119.
doi: 10.11849/zrzyxb.2008.01.013 |
[ Shi J Q, Yan C R, He W Q, et al. Study on spatial and temporal variation of water surplus and deficiency in Yellow River Basin[J]. Journal of Natural Resources, 2008,23(1):113-119.] | |
[7] |
刘昌明, 郑红星. 黄河流域水循环要素变化趋势分析[J]. 自然资源学报, 2003,18(2):129-235.
doi: 10.11849/zrzyxb.2003.02.001 |
[ Liu C M, Zheng H X. Trend analysis of hydrological components in the Yellow River Basin[J]. Journal of Natural Resources, 2003,18(2):129-235.] | |
[8] |
Yin Y Y, Tang Q H, Liu X C, et al. Water scarcity under various socio-economic pathways and its potential effects on food production in the Yellow River Basin[J]. Hydrology and Earth System Sciences, 2017,21(2):791-804.
doi: 10.5194/hess-21-791-2017 |
[9] |
王晓君, 石敏俊, 王磊. 干旱缺水地区缓解水危机的途径: 水资源需求管理的政策效应[J]. 自然资源学报, 2013,28(7):1117-1129.
doi: 10.11849/zrzyxb.2013.07.004 |
[ Wang X J, Shi M J, Wang L. Solutions to water scarcity in arid regions: Effectiveness of water demand management policy[J]. Journal of Natural Resources, 2013,28(7):1117-1129.] | |
[10] |
张陈俊, 许静茹, 张丽娜, 等. 长江经济带水资源消耗时空差异驱动效应研究[J]. 资源科学, 2018,40(11):2247-2259.
doi: 10.18402/resci.2018.11.11 |
[ Zhang C J, Xu J R, Zhang L N, et al. Driving effect of spatial-temporal difference in water resource consumption in the Yangtze River Economic Zone[J]. Resources Science, 2018,40(11):2247-2259.] | |
[11] | 孙才志, 谢巍. 中国产业用水变化驱动效应测度及空间分异[J]. 经济地理, 2011,31(4):666-672. |
[ Sun C Z, Xie W. Measurement of the driving effects on industrial water utilization change and its spatial difference analysis in China[J]. Economic Geography, 2011,31(4):666-672.] | |
[12] | 马海良, 徐佳, 王普查. 中国城镇化进程中的水资源利用研究[J]. 资源科学, 2014,36(2):334-341. |
[ Ma H L, Xu J, Wang P C. Water resource utilization and China’s urbanization[J]. Resources Science, 2014,36(2):334-341.] | |
[13] | 孙才志, 王妍. 辽宁省产业用水变化驱动效应分解与时空分异[J]. 地理研究, 2010,29(2):244-252. |
[ Sun C Z, Wang Y. Decomposition of driving effects for industrial water utilization change and spatial-temporal difference in Liaoning Province[J]. Geographical Research, 2010,29(2):244-252.] | |
[14] | 秦昌波, 葛察忠, 贾仰文, 等. 陕西省生产用水变动的驱动机制分析[J]. 中国人口·资源与环境, 2015,25(5):131-136. |
[ Qin C B, Ge C Z, Jia Y W, et al. Driving mechanism analysis for productive water consumption changes in Shaanxi Province[J]. China Population, Resources and Environment, 2015,25(5):131-136.] | |
[15] |
Ang B W, Xu X Y, Su B. Multi-country comparisons of energy performance: The index decomposition analysis approach[J]. Energy Economics, 2015,47:68-76.
doi: 10.1016/j.eneco.2014.10.011 |
[16] |
Ang B W, Su B, Wang H. A spatial-temporal decomposition approach to performance assessment in energy and emissions[J]. Energy Economics, 2016,60:112-121.
doi: 10.1016/j.eneco.2016.08.024 |
[17] |
Su B, Ang B W. Multi-region comparisons of emission performance: The structural decomposition analysis approach[J]. Ecological Indicators, 2016,67:78-87.
doi: 10.1016/j.ecolind.2016.02.020 |
[18] |
Sun S, Fang C L. Factors governing variations of provincial consumption-based water footprints in China: An analysis based on comparison with national average[J]. Science of the Total Environment. 2019,654:914-923.
doi: 10.1016/j.scitotenv.2018.11.114 |
[19] |
Zhang C J, Wu Y S, Yu Y. Spatial decomposition analysis of water intensity in China[J]. Socio-Economic Planning Sciences, 2020, DOI: 10.1016/j.seps.2019.01.002.
doi: 10.1016/0038-0121(91)90026-n pmid: 10111675 |
[20] | 张陈俊, 章恒全, 陈其勇, 等. 中国用水量变化的影响因素分析: 基于LMDI 方法[J]. 资源科学, 2016,38(7):1308-1322. |
[ Zhang C J, Zhang H Q, Chen Q Y, et al. Factors influencing water use changes based on LMDI methods[J]. Resources Science, 2016,38(7):1308-1322.] | |
[21] | 张陈俊, 董娟娟, 林琳, 等. 区域水资源消耗差异的影响因素分析: LMDI 模型的新应用[J]. 水利经济, 2017,35(6):71-76. |
[ Zhang C J, Dong J J, Lin L, et al. Influence factors for differences in regional water use based on LMDI method[J]. Journal of Economics of Water Resources, 2017,35(6):71-76.] | |
[22] | 水利部黄河委员会. 黄河水资源公报2003-2015年[EB/OL]. (2015-12) [2020-02-10]. http://www.yrcc.gov.cn/other/hhgb/. |
[ Yellow River Conservancy Commission of the Ministry of Water Resources. Yellow River Water Resources Bulletin (2013-2015)[EB/OL]. (2015-12) [2020-02-10]. http://www.yrcc.gov.cn/other/hhgb/.] | |
[23] | 付晶莹, 江东, 黄耀欢. 中国公里网格人口分布数据集[J]. 地理学报, 2014,69(S1):41-44. |
[ Fu J Y, Jiang D, Huang Y H. 1 km grid GDP data of China[J]. Acta Geographica Sinica, 2014,69(S1):41-44.] | |
[24] | Liu H, Jiang D, Yang X, et al. Spatialization approach to 1 km grid GDP supported by remote sensing[J]. Geo-information Science, 2005,7(2):120-123. |
[25] | Ang B W. LMDI decomposition approach: A guide for implementation[J]. Energy Policy, 2015,86:233-238. |
[26] | Chong C H, Tan W X, Ting Z J, et al. The driving factors of energy-related CO2 emission growth in Malaysia: The LMDI decomposition method based on energy allocation analysis[J]. Renewable and Sustainable Energy Reviews, 2019,115:109356. |
[27] | Fang D B, Hao P, Hao J. Study of the influence mechanism of China’s electricity consumption based on multi-period ST-LMDI model[J]. Energy, 2019,170:730-743. |
[28] | 韩琴, 孙才志, 邹玮. 1998-2012 年中国省际灰水足迹效率测度与驱动模式分析[J]. 资源科学, 2016,38(6):1179-1191. |
[ Han Q, Sun C Z, Zou W. Grey water footprint efficiency measure and its driving pattern analysis on provincial scale in China from 1998 to 2012[J]. Resources Science, 2016,38(6):1179-1191.] | |
[29] | Ang B W, Wang H. Index decomposition analysis with multidimensional and multilevel energy data[J]. Energy Economics, 2015,51:67-76. |
[30] | Sun S, Fu G T, Bao C, et al. Identifying hydro-climatic and socioeconomic forces of water scarcity through structural decomposition analysis: A case study of Beijing City[J]. Science of the Total Environment, 2019,687:590-600. |
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