A Study on Dynamic Risk Assessment of Maize Drought Disaster in Northwestern Liaoning Province, China

被引:0
|
作者
Zhang, Ji-Quan [1 ]
Zhang, Qi [1 ]
Yan, Deng-Hua
Liu, Xing-Peng [1 ]
Tong, Zhi-Jun [1 ]
机构
[1] NE Normal Univ, Coll Urban & Environm Sci, Changchun 130024, Peoples R China
关键词
Drought Disaster; Dynamic Risk Assessment; Optimal segmentation; Maize; Grid GIS; Northwestern Liaoning Province; JILIN PROVINCE; GROWING REGION; SONGLIAO PLAIN;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Based on the standard formulation of natural disaster risk, the composite Maize Drought Disaster Risk Index (MDDRI) at different growth stages of maize combined the hazard of agricultural drought, the exposure of the maize the vulnerability of the maize, and management ability for drought disasters were developed by using Analytic Hierarchy Process (AHP), Weighted Comprehensive Method (WCM) and Optimal Partition Method (OPM), supported by GIS and technology of natural disaster risk assessment. The MDDRI can be used to compare different relative contributions such as natural and socioeconomic factors to drought disaster risk, and the relative risk of drought disaster to maize production at different stages of maize growth.
引用
收藏
页码:196 / 206
页数:11
相关论文
共 50 条
  • [1] A Study on Vulnerability Assessment and Regionalization of Maize Drought Disaster in Northwestern Liaoning Province, China
    Yan, Li
    Zhang, Ji-Quan
    Yan, Deng-Hua
    Liu, Xing-Peng
    Tong, Zhi-Jun
    [J]. PROCEEDINGS OF THE FIRST SYMPOSIUM ON DISASTER RISK ANALYSIS AND MANAGEMENT IN CHINESE LITTORAL REGIONS, 2011, 18 : 283 - +
  • [2] Risk early warning of maize drought disaster in Northwestern Liaoning Province, China
    Zhang, Qi
    Zhang, Jiquan
    Wang, Chunyi
    Cui, Liang
    Yan, Denghua
    [J]. NATURAL HAZARDS, 2014, 72 (02) : 701 - 710
  • [3] Risk early warning of maize drought disaster in Northwestern Liaoning Province, China
    Qi Zhang
    Jiquan Zhang
    Chunyi Wang
    Liang Cui
    Denghua Yan
    [J]. Natural Hazards, 2014, 72 : 701 - 710
  • [4] Drought disaster risk assessment and yield insurance pricing of maize: a case study of Liaoning Province, China
    Wu, Rina
    Yang, Yue
    [J]. Geomatics, Natural Hazards and Risk, 2024, 15 (01):
  • [5] Dynamic risk assessment of drought disaster for maize based on integrating multi-sources data in the region of the northwest of Liaoning Province, China
    Xiaojing Liu
    Jiquan Zhang
    Donglai Ma
    Yulong Bao
    Zhijun Tong
    Xingpeng Liu
    [J]. Natural Hazards, 2013, 65 : 1393 - 1409
  • [6] Dynamic risk assessment of drought disaster for maize based on integrating multi-sources data in the region of the northwest of Liaoning Province, China
    Liu, Xiaojing
    Zhang, Jiquan
    Ma, Donglai
    Bao, Yulong
    Tong, Zhijun
    Liu, Xingpeng
    [J]. NATURAL HAZARDS, 2013, 65 (03) : 1393 - 1409
  • [7] Study on Characteristics and Risk Indicators of Agricultural Drought in Northwestern Liaoning Province, China
    Sun, Tao
    Fu, June
    Chai, Fuxin
    [J]. ADVANCES IN HYDROLOGY AND HYDRAULIC ENGINEERING, PTS 1 AND 2, 2012, 212-213 : 739 - 743
  • [8] Dynamic risk assessment of drought disaster: a case study of Jiangxi Province, China
    Ai, Ping
    Chen, Binbin
    Yuan, Dingbo
    Hong, Min
    Liu, Hongwei
    [J]. JOURNAL OF WATER AND CLIMATE CHANGE, 2021, 12 (05) : 1761 - 1777
  • [9] Drought risk assessment of spring maize based on APSIM crop model in Liaoning province, China
    Wang, Yaxu
    Lv, Juan
    Wang, Yicheng
    Sun, Hongquan
    Hannaford, Jamie
    Su, Zhicheng
    Barker, Lucy J.
    Qu, Yanping
    [J]. INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2020, 45
  • [10] Drought risk assessment of millet and its dynamic evolution characteristics: A case study of Liaoning Province, China
    Yang, Yueting
    Wei, Sicheng
    Li, Kaiwei
    Zhang, Jiquan
    Wang, Chunyi
    [J]. ECOLOGICAL INDICATORS, 2022, 143