|
基于灾害损失的南昌地区双季晚稻干旱灾害风险区划
|
Abstract:
本文基于南昌地区5个国家气象站点1978~2020年逐日气象资料、农业资料、水文资料,从干旱的致灾因子危险性、承灾害体易损性、灾损脆弱性、防灾减灾能力等4个风险因子考虑,采用专家打分法和熵权法确定各因素权重,构建基于灾害损失的双季晚稻干旱灾害风险综合评估模型,并进行干旱灾害时空格局分析。结果表明:南昌地区干旱发生概率为60%,其中1991~1994年和2000~2009年是干旱的高发期。53%的年份双季晚稻生长期间的累积降水量低于常年平均值,双季晚稻生产用水需求无法从自然降水中得到满足,干旱灾害风险非常大。综合风险区划结果显示,进贤县和新建区中南部为双季晚稻干旱灾害高风险区,南昌县中北部环鄱阳湖周边为低风险区,安义县为双季晚稻干旱灾害较低风险区。
This paper was based on daily meteorological data, agricultural data and hydrological data from 5 national meteorological stations in Nanchang City during 1978-2020. Considering the four risk factors of drought, such as the risk of disaster causing factor, the vulnerability of disaster-bearing bodies, the vulnerability of disaster loss, and the ability of disaster prevention and reduction, the expert grading method and entropy-weight method were used to determine the weight of each factor, and a comprehensive assessment model of Double-cropping rice drought risk based on disaster loss was constructed. Also, the temporal and spatial distribution of drought disaster was analyzed. The results showed that the probability of drought occurrence in Nanchang was 60%, and the periods of 1991-1994 and 2000-2009 were the most frequent periods. The accumulated precipitation during the growth of Double-cropping rice was lower than the annual average in 53% of these years, so the water demand of second rice could not be met from natural precipitation, which means the risk of drought disaster was very high. According to the comprehensive risk regionalization results, Jinxian County and the central and southern parts of Xinjian District were high risk areas of second rice drought disaster, in addition the central and northern parts of Nanchang County around Poyang Lake were low risk areas, and Anyi County was lower risk areas.
[1] | 李世奎, 霍治国, 王道龙, 等. 中国农业灾害风险评价与对策[M]. 北京: 气象出版社, 1999: 275. |
[2] | 中国减灾编辑部. 关于全国减灾工作的建议书[J]. 中国减灾, 1993, 3(1): 1-4. |
[3] | 陈超, 庞艳梅, 徐富贤, 等. 四川水稻不同生育阶段的干旱风险评估[J]. 干旱地区农业研究, 2018, 36(6): 184-193. |
[4] | 陈东东, 栗晓玮, 张玉芳, 等. 四川省水稻关键生育期不同等级干旱评估研究[J]. 西南师范大学学报(自然科学版), 2017, 42(10): 69-77. |
[5] | 袁淑杰, 王婷, 王鹏. 四川省水稻气候干旱灾害风险研究[J]. 冰川冻土, 2013, 35(4): 1036-1043. |
[6] | 张建平, 刘宗元, 何永坤, 等. 西南地区水稻干旱时空分布特征[J]. 应用生态学报, 2015, 26(10): 3103-3110. |
[7] | 曹言, 刘杨梅, 王杰, 等. 滇中地区水稻不同生育期气候干旱风险评估[C]//云南省水利学会2019年学术年会论文集. 昆明: 云南人民出版社, 2019: 1-14. |
[8] | 孙可可, 陈进, 许继军, 等. 基于EPIC模型的云南元谋水稻春季旱灾风险评估方法[J]. 水利学报, 2013(11): 1326-1332. |
[9] | 薛昌颖, 胡程达. 基于ORYZA2000模型的华北地区旱稻干旱风险评估[J]. 干旱地区农业研究, 2016, 34(3): 179-185, 212. |
[10] | 何梦莎, 徐锦山, 陈莹, 等. 基于GIS的杭州市富阳区水稻干旱风险区划[J]. 农技服务, 2016, 33(6): 137-138. |
[11] | 王文, 许志丽, 蔡晓军, 等. 基于PDSI的长江中下游地区干旱分布特征[J]. 高原气象, 2016, 35(3): 693-707. |
[12] | 罗伯良, 黄晚华, 帅细强, 等. 湖南省水稻生产干旱灾害风险区划[J]. 中国农业气象, 2011, 32(3): 461-465. |
[13] | 江西省统计局, 国家统计局江西调查总队, 编. 江西统计年鉴[M]. 北京: 中国统计出版社, 2022. |
[14] | 吴少强, 汤崇军, 郑太辉, 等. 基于连续无有效降雨日数指标的江西省干旱时空分布特征[J]. 长江流域资源与环境, 2022, 31(4): 903-914. |
[15] | 冯敏玉, 胡萍, 吴风雨. 2019年南昌地区气候年景分析[J]. 天津农业科学, 2020, 26(8): 72-76. |
[16] | 南昌市统计局, 国家统计局南昌调查队. 南昌统计年鉴[M]. 北京: 中国统计出版社, 2008. |
[17] | 南昌市统计局, 国家统计局南昌调查队. 南昌统计年鉴[M]. 北京: 中国统计出版社, 2021. |
[18] | 胡菊芳, 赵冠男, 吴昊, 等. DB36/T1618-2022气象干旱综合指数等级[S]. 南昌: 江西省市场监督管理局, 2022. |
[19] | 史继清, 杨霏云, 边多, 等. 基于干旱灾害风险综合评估指数的西藏主要农区青稞干旱时空格局[J]. 中国农学通报, 2021, 37(2): 80-87. |
[20] | 南昌市统计局, 国家统计局南昌调查队. 南昌统计年鉴[M]. 北京: 中国统计出版社, 2020. |