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Climate Change Research ›› 2022, Vol. 18 ›› Issue (6): 707-719.doi: 10.12006/j.issn.1673-1719.2021.271
• Impacts of Climate Change • Previous Articles Next Articles
ZHANG Hua1,4(), LI Wen-Li2,3, LI Xue-Min2,3, DONG Lin2,3, YANG You-Tian2,3, ZHANG Guo-Ming1,4, XU Ying-Jun1,4
Received:
2021-12-02
Revised:
2022-03-07
Online:
2022-11-30
Published:
2022-10-27
ZHANG Hua, LI Wen-Li, LI Xue-Min, DONG Lin, YANG You-Tian, ZHANG Guo-Ming, XU Ying-Jun. Analysis of urban and rural population scenarios and exposure characteristics in China in the future for the prevention of earthquake risk[J]. Climate Change Research, 2022, 18(6): 707-719.
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URL: http://www.climatechange.cn/EN/10.12006/j.issn.1673-1719.2021.271
[1] | 张培震, 邓起东, 张竹琪, 等. 中国大陆的活动断裂、地震灾害及其动力过程[J]. 中国科学:地球科学, 2013, 43 (10): 1607-1620. |
Zhang P Z, Deng Q D, Zhang Z Q, et al. Active faults, earthquake disasters and their dynamic processes in Chinese mainland[J]. Scientia Sinica: Terrae, 2013, 43 (10): 1607-1620 (in Chinese)
doi: 10.1360/zd-2013-43-10-1607 URL |
|
[2] | 刘培玄, 王伟. 我国农村典型民居抗震设防问题分析与建议[J]. 中国减灾, 2019 (21): 16-19. |
Liu P X, Wang W. Analysis and suggestions on seismic fortification of typical rural houses in China[J]. Disaster Reduction in China, 2019 (21): 16-19 (in Chinese) | |
[3] | 金晓霞. 不设防农村与高风险城市之痛[J]. 中国减灾, 2011 (7): 12-14. |
Jin X X. Defects of unprotected rural areas and high-risk cities[J]. Disaster Reduction in China, 2011 (7): 12-14 (in Chinese) | |
[4] | 张津. 甘肃农村地震成灾机制及防震减灾研究[D]. 中国地震局兰州地震研究所, 2014. |
Zhang J. Research on earthquake disaster formation mechanism and disaster reduction in rural area of Gansu province[D]. Lanzhou Institute of Seismology, 2014 (in Chinese) | |
[5] | 叶耀先. 农村建设抗震[J]. 建筑技术与设计, 2008 (7): 84-93. |
Ye Y X. Earthquake resistance of rural construction[J]. Architecture Technology & Design, 2008 (7): 84-93 (in Chinese) | |
[6] | 周福霖. 隔震、消能减震与结构控制体系: 终止我国城乡地震灾难的必然技术选择[J]. 城市与减灾, 2016 (5): 1-10. |
Zhou F L. Seismic isolation, energy dissipation and structural control system: the inevitable technical choice to end the urban and rural earthquake disaster in China[J]. Urban and Disaster Reduction, 2016 (5): 1-10 (in Chinese) | |
[7] | 国务院办公厅. 《国家综合防灾减灾规划(2016—2020年)》[EB/OL]. 2017 [2022-06-15]. http://www.gov.cn/zhengce/content/2017-01/13/content_5159459.htm. |
General Office of The State Council. National comprehensive plan of disaster prevention and mitigation (2016-2020)[EB/OL]. 2017 [2022-06-15]. http://www.gov.cn/zhengce/content/2017-01/13/content_5159459.htm (in Chinese) | |
[8] | 吴绍洪, 赵东升. 中国气候变化影响、风险与适应研究新进展[J]. 中国人口·资源与环境, 2020, 30 (6): 1-9. |
Wu S H, Zhao D S. Progress on the impact, risk and adaptation of climate change in China[J]. China Population, Resources and Environment, 2020, 30 (6): 1-9 (in Chinese) | |
[9] |
van Vuuren D P, Riahi K, Moss R, et al. A proposal for a new scenario framework to support research and assessment in different climate research communities[J]. Global Environmental Change, 2012, 22 (1): 21-35
doi: 10.1016/j.gloenvcha.2011.08.002 URL |
[10] |
van Vuuren D P, Kriegler E, O’Neill B C, et al. A new scenario framework for climate change research: scenario matrix architecture[J]. Climatic Change, 2014, 122: 373-386
doi: 10.1007/s10584-013-0906-1 URL |
[11] | 姜彤, 赵晶, 景丞, 等. IPCC共享社会经济路径下中国和分省人口变化预估[J]. 气候变化研究进展, 2017, 13 (2): 128-137. |
Jang T, Zhao J, Jing C, et al. National and provincial population projected to 2100 under the shared socioeconomic pathways in China[J]. Climate Change Research, 2017, 13 (2): 128-137 (in Chinese) | |
[12] |
Huang J, Qin D, Jiang T, et al. Effect of fertility policy changes on the population structure and economy of China: from the perspective of the shared socioeconomic pathways[J]. Earth’s Future, 2019, 7: 250-265
doi: 10.1029/2018EF000964 URL |
[13] |
Chen Y, Guo F, Wang J, et al. Provincial and gridded population projection for China under shared socioeconomic pathways from 2010 to 2100[J]. Scientific Data, 2020, 7: 255-262
doi: 10.1038/s41597-020-00597-w URL |
[14] | 姜彤, 王艳君, 袁佳双, 等. “一带一路”沿线国家2020—2060年人口经济发展情景预测[J]. 气候变化研究进展, 2018, 14 (2): 155-164. |
Jang T, Wang Y J, Yuan J S, et al. Projection of population and economy in the Belt and Road countries (2020-2060)[J]. Climate Change Research, 2018, 14 (2): 155-164 (in Chinese) | |
[15] |
Lutz W, KC S. Global human capital: integrating education and population[J]. Science, 2011, 333 (6042): 587-592
doi: 10.1126/science.1206964 pmid: 21798940 |
[16] |
KC S, Lutz W. The human core of the shared socioeconomic pathways: population scenarios by age, sex and level of education for all countries to 2100[J]. Global Environmental Change, 2014, 42 (1): 181-189
doi: 10.1016/j.gloenvcha.2014.06.004 URL |
[17] | 郑晓瑛, 陈功, 庞丽华, 等. 中国人口、人力资本变化趋势[J]. 市场与人口分析, 2007 (1): 3-13. |
Zheng X Y, Chen G, Pang L H, et al. Future population and human capital in China[J]. Population and Development, 2007 (1): 3-13 (in Chinese) | |
[18] |
Zhang J, Gao P, Fang F. An ATPSO-BP neural network modelling and its application in mechanical property prediction[J]. Computational Materials Science, 2019, 163: 262-266
doi: 10.1016/j.commatsci.2019.03.037 URL |
[19] | 曹桂英, 任强. 未来全国和不同区域人口城镇化水平预测[J]. 人口与经济, 2005 (4): 51-56, 67. |
Cao G Y, Ren Q. The national and regional urbanization projection for China[J]. Population & Economics, 2005 (4): 51-56, 67 (in Chinese) | |
[20] |
Shang H L, Smith P W F, Bijak J, et al. A multilevel functional data method for forecasting population, with an application to the United Kingdom[J]. International Journal of Forecasting, 2019, 32 (3): 629-649
doi: 10.1016/j.ijforecast.2015.10.002 URL |
[21] | 王豫燕, 王艳君, 姜彤. 江苏省暴雨洪涝灾害的暴露度和脆弱性时空演变特征[J]. 长江科学院院报, 2016, 33 (4): 27-32. |
Wang Y Y, Wang Y J, Jang T. Spatial-temporal characteristics of exposure and vulnerability to flood disaster in Jiangsu province[J]. Journal of Yangtze River Scientific Research Institute, 2016, 33 (4): 27-32 (in Chinese) | |
[22] | 李柔珂, 李耀辉, 徐影. 未来中国地区的暴雨洪涝灾害风险预估[J]. 干旱气象, 2018, 36 (3): 341-352. |
Li R K, Li Y H, Xu Y. Projection of rainstorm and flooding disaster risk in China in the 21st century[J]. Journal of Arid Meteorology, 2018, 36 (3): 341-352 (in Chinese) | |
[23] | Liao X L, Xu W, Zhang J L, et al. Global exposure to rainstorms and the contribution rates of climate change and population change[J]. Science of The Total Environment, 2019 (663): 644-653 |
[24] |
杨佩国, 靳京, 赵东升, 等. 基于历史暴雨洪涝灾情数据的城市脆弱性定量研究:以北京市为例[J]. 地理科学, 2016, 36 (5): 733-741.
doi: 10.13249/j.cnki.sgs.2016.05.011 |
Yang P G, Jin J, Zhao D S, et al. An urban vulnerability study based on historical flood data: a case study of Beijing[J]. Scientia Geographica Sinica, 2016, 36 (5): 733-741 (in Chinese)
doi: 10.13249/j.cnki.sgs.2016.05.011 |
|
[25] | 韩钦梅, 吕建军, 史培军. 湖北省暴雨人口暴露时空特征与贡献率研究[J]. 灾害学, 2018, 33 (4): 191-196. |
Han Q M, Lyu J J, Shi P J. Spatial temporal characteristics and contribution rate of rainstorm population exposure in Hubei[J]. Journal of Catastrophology, 2018, 33 (4): 191-196 (in Chinese) | |
[26] | 井源源, 方建, 史培军. 未来气候变化情景下湖北省极端降水的人口暴露分析[J]. 北京师范大学学报: 自然科学版, 2020, 56 (5): 700-709. |
Jing Y Y, Fang J, Shi P J. Analysis of population exposure to extreme precipitation in Hubei province under the climate change scenarios[J]. Journal of Beijing Normal University: Natural Science, 2020, 56 (5): 700-709 (in Chinese) | |
[27] | 王军, 王广州. 中国育龄人群的生育意愿及其影响估计[J]. 中国人口科学, 2013, 4: 26-35. |
Wang J, Wang G Z. Reproductive population’s fertility desire and its influence in China[J]. Chinese Journal of Population Science, 2013, 4: 26-35 (in Chinese) | |
[28] | 庄亚儿, 姜玉, 王志理, 等. 当前我国城乡居民的生育意愿: 基于2013年全国生育意愿调查[J]. 人口研究, 2014, 38 (3): 3-13. |
Zhuang Y E, Jang Y, Wang Z L, et al. Fertility intention of rural and urban residents in China: results from the 2013 national fertility intention survey[J]. Population Research, 2014, 38 (3): 3-13 (in Chinese) | |
[29] | 中华人民共和国住房和城乡建设部. GB55002—2021建筑与市政工程抗震通用规范[S]. 北京: 中国建筑出版传媒有限公司, 2021. |
Ministry of Housing and Urban-Rural Development of People’s Republic of China. GB55002—2021 general standard for earthquake resistance of building and municipal engineering[S]. Beijing: China Architecture Publication Medium Limited Company, 2021 (in Chinese) | |
[30] |
Ni H H, Chen A, Chen N. Some extensions on risk matrix approach[J]. Safety Science, 2010, 48: 1269
doi: 10.1016/j.ssci.2010.04.005 URL |
[31] |
Eskesen S D, Tengborg P, KampmannJ, et al. Guidelines for tunnelling risk management: international tunnelling association, working group No.2[J]. Tunnelling and Underground Space Technology, 2004, 19 (3): 217-237
doi: 10.1016/j.tust.2004.01.001 URL |
[32] | 孙柏涛. 中国编第五代地震区划图超九成农村房屋无抗震措施[EB/OL]. 2011 [2021-11-22]. http://cn.chinagate.cn/povertyrelief/2011-11/14/content_23906357.htm. |
Sun B T. The fifth seismic ground motion parameters zonation map compiled more than 90% of rural houses have no seismic measures[EB/OL]. 2011 [2021-11-22]. http://cn.chinagate.cn/povertyrelief/2011-11/14/content_23906357.htm (in Chinese) | |
[33] | 曹丽格, 方玉, 姜彤, 等. IPCC影响评估中的社会经济新情景(SSPs)进展[J]. 气候变化研究进展, 2012, 8 (1): 74-78. |
Cao L G, Fang Y, Jiang T, et al. Advances in shared socio-economic pathways for climate change research and assessment[J]. Climate Change Research, 2012, 8 (1): 74-78 (in Chinese) | |
[34] | 翁宇威, 蔡闻佳, 王灿. 共享社会经济路径(SSPs)的应用与展望[J]. 气候变化研究进展, 2020, 16 (2): 215-222. |
Weng Y W, Cai W J, Wang C. The application and future directions of the shared socioeconomic pathways (SSPs)[J]. Climate Change Research, 2020, 16 (2): 215-222 (in Chinese) |
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