Damage evaluation of agro-meteorological hazards in the maize-growing region of Songliao Plain, China: Case study of Lishu county of Jilin province

被引:15
|
作者
Zhang, JQ
Okada, N
Tatano, H
Hayakawa, S
机构
[1] Kyoto Univ, Disaster Prevent Res Inst, Kyoto 6110011, Japan
[2] Yamaguchi Univ, Fac Agr, Yamaguchi 7538515, Japan
基金
中国国家自然科学基金;
关键词
agro-meteorological hazards; drought; waterlogging; cool summer; risk identification; damage evaluation; maize;
D O I
10.1023/B:NHAZ.0000020263.98345.a0
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Agro-meteorological hazards such as drought, waterlogging and cool summer occur with very high frequency and affect maize production and social-economic development in the maize-growing region of Songliao Plain, China. Moreover, both the frequency of these hazards and loss from them are considered to be increasing with global warming. The purpose of this paper is to quantitatively analyze the relationships between the fluctuation of maize yield and drought, waterlogging and cool summer, and to evaluate the consequences of these hazards in the maize-growing area of Songliao Plain, taking Lishu county as a case study area based on GIS ( Geographic Information System). Crop yield-climate analysis and regression analysis were employed to analyze and quantify relationships between the fluctuation of maize yield and drought, waterlogging and cool summer, and to evaluate the consequences of these hazards. The parameters and model of damage evaluation were presented using weighted comprehensive analysis, and the degree of damage of drought, waterlogging and cool summer to maize production was comprehensively evaluated and regionalized. It is shown that from 1949 to 1990, the negative value years of the fluctuation of maize yield due to meteorological hazards accounted for 55% of seasons, of which 14% was caused by drought, 30% by waterlogging, 4% by cool summer and drought, 9% by cool summer and waterlogging, 13% by drought and waterlogging, 30% by drought, waterlogging and cool summer. Studies on the instability and spatial variation of the fluctuations in maize yield in Lishu county showed that the middle plains are stable areas to climatic influence, while southeastern hills and low mountains, the low lands of the plains along the East Liao River and the western plain are unstable areas in terms of areas in maize yield. The synthetic index of the degree of damage to maize of drought, waterlogging and cool summer showed a strong positive correlation with the ratio of the amount damaged to the normal yield of maize. This suggests that this index can be used to evaluate such damage. The degree of damage of drought, waterlogging and cool summer to maize in Lishu county shows the regional characteristics, which increase gradually from the center to the west and east, this being almost identical with the spatial distribution of the fluctuation of maize yield due to these hazards. This study can be expected to provide the basis for developing strategies to mitigate agro-meteorological hazards and reducing the losses from them, and adjust the medium and long-term distribution of agricultural activities so as to adapt to environmental changes.
引用
收藏
页码:209 / 232
页数:24
相关论文
共 9 条
  • [1] Damage Evaluation of Agro-meteorological Hazards in the Maize-Growing Region of Songliao Plain, China: Case Study of Lishu County of Jilin Province
    Jiquan Zhang
    Norio Okada
    Hirokazu Tatano
    Seiji Hayakawa
    [J]. Natural Hazards, 2004, 31 : 209 - 232
  • [2] Risk assessment of drought disaster in the maize-growing region of Songliao Plain, China
    Zhang, JQ
    [J]. AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 2004, 102 (02) : 133 - 153
  • [3] Change of cultivated land area and effect on ecosystem service in black soil region in Northeast China:a case study of Lishu County, Jilin Province
    WANG Ruiqi
    LI Hong
    SHANG Yi
    [J]. Global Geology, 2023, 26 (04) : 251 - 263
  • [4] Temporal Downscaling of Crop Coefficients for Winter Wheat in the North China Plain: A Case Study at the Gucheng Agro-Meteorological Experimental Station
    Wang, Peijuan
    Qiu, Jianxiu
    Huo, Zhiguo
    Anderson, Martha C.
    Zhou, Yuyu
    Bai, Yueming
    Liu, Tao
    Ren, Sanxue
    Feng, Rui
    Chen, Pengshi
    [J]. WATER, 2017, 9 (03)
  • [5] Quantifying the effect of temporal variability of agro-meteorological disasters on winter oilseed rape yield: a case study in Jiangsu province, southeast China
    Huang, Jin
    Zhou, Limin
    Zhang, Fangmin
    Hu, Zhenghua
    [J]. ENVIRONMENTAL MONITORING AND ASSESSMENT, 2019, 191 (05)
  • [6] Quantifying the effect of temporal variability of agro-meteorological disasters on winter oilseed rape yield: a case study in Jiangsu province, southeast China
    Jin Huang
    Limin Zhou
    Fangmin Zhang
    Zhenghua Hu
    [J]. Environmental Monitoring and Assessment, 2019, 191
  • [7] Yield Data Provide New Insight into the Dynamic Evaluation of Maize's Climate Suitability: A Case Study in Jilin Province, China
    Zhao, Jing
    Li, Kaiwei
    Wang, Rui
    Tong, Zhijun
    Zhang, Jiquan
    [J]. ATMOSPHERE, 2019, 10 (06)
  • [8] Utilization Quality Evaluation and Barrier Factor Diagnosis of Rural Residential Areas in Agricultural Regions of the Northeast Plain: A Case Study of Wangkui County, Heilongjiang Province, China
    Zhang, Hui
    Cong, Rong
    Luan, Siyu
    [J]. LAND, 2023, 12 (04)
  • [9] Forest Land Quality Evaluation and the Protection Zoning of Subtropical Humid Evergreen Broadleaf Forest Region Based on the PSO-TOPSIS Model and the Local Indicator of Spatial Association: A Case Study of Hefeng County, Hubei Province, China
    Wang, Li
    Zhou, Yong
    Li, Qing
    Zuo, Qian
    Gao, Haoran
    Liu, Jingyi
    Tian, Yang
    [J]. FORESTS, 2021, 12 (03):