Temporal and spatial variation characteristics of comprehensive natural disaster bearing capacity in Shaanxi Province

doi:10.14088/j.cnki.issn0439-8114.2022.15.008

Abstract

Abstract: An evaluation index system for the comprehensive disaster bearing capacity of natural disasters in Shaanxi Province was constructed, the entropy weight method comprehensive evaluation model was used to calculate and analyze the disaster bearing capacity, and time series and ArcGIS spatial mapping methods were used to analyze its temporal and spatial characteristics. The results showed that, from 2000 to 2019, the overall natural disaster bearing capacity in Shaanxi Province showed an upward trend, the rate of change had gradually stabilized, and regional differences had gradually narrowed. The ability to cope with risk has been greatly improved. During the study period, the characteristics of the disaster-resistance and disaster-prevention capabilities of Shaanxi Province were basically consistent; the dynamic evolution process of the disaster-relief capabilities was more complex and fluctuated, and the overall situation of the resilience increased steadily, but the improvement was lower than other sub-capabilities. The development trend of the disaster bearing capacity of each district and sub-item was basically the same as that of Shaanxi Province. The spatial pattern of population change in Shaanxi Province had a certain degree of coupling with the spatial change of comprehensive disaster bearing capacity. The improvement and development of disaster bearing capacity in Shaanxi Province basically adapted to the new spatial distribution pattern of exposure to natural disasters related to population changes during the study period.

Key words: natural disasters, comprehensive disaster bearing capacity, entropy method, temporal and spatial changes, Shaanxi Province

CLC Number:

XU Bin, WEN Yan-jun, LI Xiao-yu, GENG Shuo-lin, WANG Tian-ying. Temporal and spatial variation characteristics of comprehensive natural disaster bearing capacity in Shaanxi Province[J]. HUBEI AGRICULTURAL SCIENCES, 2022, 61(15): 50-58.

References

[1] 颜峻,左哲. 自然灾害风险评估指标体系及方法研究[J].中国安全科学学报,2010,20(11):61-65.
[2] LARSON R C, METZGER M D, CAHN M F.Responding to emergencies: Lessons learned and the need for analysis[J]. Interfaces,2006,36(6):486-501.
[3] BRUNEAU M, CHANG S E, EGUCHI R T, et al.A Framework to quantitatively assess and enhance the seismic resilience of communities[J]. Earthquake spectra, 2012, 19(4):733-752.
[4] JANSSEN M,OSTROM E.Resilience, vulnerability, and adaptation: A cross-cutting theme of the international human dimensions programme on global environmental change[J]. Global environmental change, 2006,16(3):237-239.
[5] 刘艳,康仲远,赵汉章,等.我国城市减灾管理综合评价指标体系的研究[J].自然灾害学报,1999(2):61-66.
[6] 邓玲,李学敏,张思远.暴雨灾害气象防灾减灾服务效益评估指标体系研究[J].湖北农业科学,2021,60(17):188-193.
[7] 李晓娟. 城市综合承灾能力评价研究[J].西安建筑科技大学学报(自然科学版), 2012, 44(4): 489-494.
[8] 张风华,谢礼立,范立础.城市防震减灾能力评估研究[J].地震学报,2004,26(3):318-329.
[9] 高庆华. 自然灾害系统论概说[J].科技导报,1991(2):51-54.
[10] 张明媛. 城市承灾能力及灾害综合风险评价研究[D].辽宁大连:大连理工大学,2008.
[11] 湛孔星,王树坤,陈国华.区域承灾能力评估方法及应用研究[J].中国安全生产科学技术,2010,6(1):35-39.
[12] 王威,田杰,马东辉,等.基于云模型的城市防震减灾能力综合评估方法[J].北京工业大学学报,2010,36(6):764-770.
[13] 王威,田杰,苏经宇,等.基于贝叶斯随机评价方法的小城镇灾害易损性分析[J].防灾减灾工程学报,2010,30(5):524-527.
[14] 徐昀昀. 陕西省主要气象灾害对农业经济增长的影响分析[J].吉林水利,2021(9):50-54.
[15] 高茂盛,范建忠,吴清丽. 陕西省自然灾害发生特征及灾后损失分析[J].西北农业学报,2012, 21(7): 202-206.
[16] 雷田旺,张翀,周旗,等.陕西省五级流域降水致洪特征分析[J].干旱区地理,2021,44(6):1559-1569.
[17] 黄勇馨. 陕西省山洪灾害驱动因子分析及风险评价研究[D].西安:西安理工大学,2021.
[18] 文彦君,朱婵婵,宋海龙.陕西省宝鸡市自然灾害社会脆弱性评估[J].灾害学,2016,31(4):70-74.
[19] 文彦君. 陕西省自然灾害的社会易损性分析[J].灾害学,2012,27(2):77-81.
[20] 延军平. 陕西省自然灾害分析[J].中国减灾,1992(3):30-32.
[21] 王钧,宫清华,宇岩,等.粤港澳大湾区城市群自然灾害综合承灾能力评价[J].地理研究,2020,39(9):2189-2199.
[22] 李畅,冯滔,石倩,等.洪灾社会脆弱性熵权法评价及其时间序列分析——以2001—2012年湖北省荆州市为例[J].灾害学,2015,30(3):110-117.
[23] 宇岩,欧国强,王钧,等.信息熵在震后深溪沟流域泥石流危险度评价中的应用[J].防灾减灾工程学报,2017,37(2):264-272.