Flood disaster mitigation modeling through participation community based on the land conversion and disaster resilience

被引:11
作者
Nugraheni, Irma Lusi [1 ]
Suyatna, Agus [2 ]
Setiawan, Agus [3 ]
机构
[1] Univ Lampung, Environm Sci, Bandar Lampung, Indonesia
[2] Univ Lampung, Phys Dept, Bandar Lampung, Indonesia
[3] Univ Lampung, Forestry Dept, Bandar Lampung, Indonesia
关键词
Flood disaster; Mitigation modelling; Clear model; Clue -s model; Drop model; ADAPTATION; PLACE; CLUE;
D O I
10.1016/j.heliyon.2022.e09889
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The objective of this research is to determine the relationship between non-structural flood disaster mitigation models to reduce the impact of floods. The analysis is carried out on the basis of community participation, land conversion, and community resilience. The 1398 household was conducted at 2019 is used as the sample of this research. This research is focused on the mitigation modeling by adopting three models (CLEAR model, CLUE-S model, DROP model) as variables, 15 indicators and 65 sub-indicators. Three hypotheses were formulated to effectively carry out the research. Structural equation model is used to investigate the close relationship between the three models. The relation between CLEAR and CLUE-S models have a positive correlation is about 14.806, CLEAR and DROP models have a close relation is about 4598, and CLUE-S and DROP models have a close positive relation is about 4.004. The results of these three models are very valuable to the central and local governments for formulating the policies programs in designing sustainable non-structural flood mitigation and subsequent policies with references to the three models above which are effective to reduce the flood events.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] Rediscovering South Africa: Flood disaster risk management through ecosystem-based adaptation
    Busayo, Emmanuel Tolulope
    Kalumba, Ahmed Mukalazi
    Afuye, Gbenga Abayomi
    Olusola, Adeyemi Oludapo
    Ololade, Olusola Oluwayemisi
    Orimoloye, Israel Ropo
    ENVIRONMENTAL AND SUSTAINABILITY INDICATORS, 2022, 14
  • [32] Modeling of Power System Resilience During a Catastrophic Disaster and Application of the Model
    Yoo, Tae-Hyun
    Park, Hyeongon
    IEEE ACCESS, 2024, 12 : 81550 - 81566
  • [33] Risk assessment and validation of flood disaster based on fuzzy mathematics
    Weiguo Jiang a
    ProgressinNaturalScience, 2009, 19 (10) : 1419 - 1425
  • [34] Flood disaster risk assessment based on random forest algorithm
    Zijiang Zhu
    Yu Zhang
    Neural Computing and Applications, 2022, 34 : 3443 - 3455
  • [35] GIS-based Risk Assessment for Regional Flood Disaster
    Zhang Hailin
    Jie Yi
    Zhang Xuesong
    Jing Gaoliao
    Yang Yi
    He Baoyin
    2009 INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY, VOL II, PROCEEDINGS, 2009, : 564 - +
  • [36] Risk Analysis of Flood Disaster Based on Fuzzy Clustering Method
    Chen, Junfei
    Zhao, Shufang
    Wang, Huimin
    2010 INTERNATIONAL CONFERENCE ON ENERGY, ENVIRONMENT AND DEVELOPMENT (ICEED2010), 2011, 5 : 1915 - 1919
  • [37] Flood Disaster Assessment Method Based on a Stacked Denoising Autoencoder
    Chen, Yanping
    Wang, Yilun
    Wu, Zhize
    Zou, Le
    Li, Wenbo
    ELECTRONICS, 2023, 12 (18)
  • [38] Flood disaster risk assessment based on random forest algorithm
    Zhu, Zijiang
    Zhang, Yu
    NEURAL COMPUTING & APPLICATIONS, 2022, 34 (05) : 3443 - 3455
  • [39] Artificial neural network based predictive method for flood disaster
    Wei, YM
    Xu, WX
    Fan, Y
    Tasi, HT
    COMPUTERS & INDUSTRIAL ENGINEERING, 2002, 42 (2-4) : 383 - 390
  • [40] Risk assessment and validation of flood disaster based on fuzzy mathematics
    Jiang, Weiguo
    Deng, Lei
    Chen, Luyao
    Wu, Jianjun
    Li, Jing
    PROGRESS IN NATURAL SCIENCE-MATERIALS INTERNATIONAL, 2009, 19 (10) : 1419 - 1425