黑龙江省玉米低温冷害风险综合评估模型研究

doi:10.11849/zrzyxb.2013.04.010

摘要/Abstract

摘要：

论文利用黑龙江省进行农作物生育期观测的24个气象台站1961-2009年逐日平均气温资料和1980-2009年玉米生育期资料,采用"5-9月的月平均气温和的距平"与"黑龙江省玉米低温冷害综合指标体系"对黑龙江省1961年以来低温冷害危险性进行了评估;以黑龙江省75个县的玉米种植面积为指标对暴露性进行了评估;以玉米单产为基础进行了灾损敏感性评估;最终建立了黑龙江省玉米低温冷害风险综合评估模型。根据模型,把黑龙江省划分为高、次高、中等、次低、低等5个风险区,大、小兴安岭、南部山区为高或次高风险区,松嫩平原北部处于次高风险区,三江平原东部为低风险区。该风险评估模型有助于提升黑龙江省低温冷害定量评估能力,同时对其它农业气象灾害风险评估模型的建立可以起到借鉴和参考作用。

关键词: 低温冷害, 风险评估模型, 玉米, 黑龙江省

Abstract:

To analyze the risk of chilling injury to maize further, this article focuses on the construction of an evaluation model, which includes the temperature which represents the hazard factor, exposure degree and sensitivity level, and is used to judge the risk of chilling injury to maize in Heilongjiang Province. The data in this research includes daily average temperature data from 1961 to 2009, date of different growing status from 1980 to 2009 of the 24 meteorological stations in Heilongjiang Province, and the spatial resolution of GIS data is 1 km×1 km. Method of research is mainly AHP. Initially, the risk of hazard factor from 1961 to 1979 is calculated by adopting the criterion which is "Anomaly of Sum of Monthly Average Temperature from May to September" and that from 1980 to 2009 is calculated by adopting the criterion of "Comprehensive Decision System of Chilling Injury for Maize in Heilongjiang Province", respectively. Then, comparing the planting area of maize of 75 stations as the exposure degree index, risk zones of exposure degree are concluded. After that, risk zones of the sensitivity of chilling injury are outlined based on per unit area yield of maize. At last, this article sets down a comprehensive evaluation model of chilling injury to maize based on the hazard factor, exposure degree and sensitivity level in Heilongjiang Province. According to this model, Heilongjiang is divided into five zones, which are high risk zone, sub-high risk zone, medium risk zone, sub-low risk zone and low risk zone. Specifically, Daxinganling mountain, Xiaoxinganling mountain and southern mountain areas are high or sub-high risk zones mainly because of lack of enough heat for crop growing. Despite the risk of hazard factor being medium, the northern part of Songnen Plain is sub-high risk zone considering its high exposure degree and sensitivity level. Because the risk of hazard factor, exposure degree and sensitivity level are all low or sub-low, the risk of chilling injury to maize in the eastern part of Sanjiang Plain is low. In all, the model can not only help to promote the capability of quantitative assessment of chilling injury to maize in Heilongjiang Province, but can be used for reference to construct the damage evaluation models of other agricultural & meteorological disasters as well.

Key words: chilling injury, risk evaluation model, maize, Heilongjiang Province

中图分类号:

S426

李帅, 王晾晾, 陈莉, 姜丽霞, 张洪杰, 覃雪. 黑龙江省玉米低温冷害风险综合评估模型研究[J]. 自然资源学报, 2013, 28(4): 635-643.

LI Shuai, WANG Liang-liang, CHEN Li, JIANG Li-xia, ZHANG Hong-jie, QIN Xue. The Comprehensive Risk Evaluation Model of Chilling Injury to Maize in Heilongjiang Province[J]. JOURNAL OF NATURAL RESOURCES, 2013, 28(4): 635-643.

参考文献

[1] 任国玉, 徐铭志, 初子莹, 等. 近54年中国地面气温变化[J]. 气候与环境研究, 2005, 10(4): 717-727. [REN Guo-yu, XU Ming-zhi, CHU Zi-ying, et al. Changes of surface air temperature in China during 1951-2004. Climatic and Environmental Research, 2005, 10(4): 717-727.]

[2] 潘华盛, 张桂华, 徐南平. 20世纪80年代以来黑龙江气候变暖的初步分析[J]. 气候与环境研究, 2003, 8(3): 348-354. [PAN Hua-sheng, ZHANG Gui-hua, XU Nan-ping. A preliminary analysis of climate warming in Heilongjiang Province since the 1980s. Climatic and Environmental Research, 2003, 8(3): 348-354.]

[3] 云雅如, 方修琦, 王丽岩, 等. 我国作物种植界线对气候变暖的适应性响应[J]. 作物杂志, 2007(3): 20-23. [YUN Ya-ru, FANG Xiu-qi, WANG Li-yan, et al. The adaptation response of crops’ boundary line to climate warming in China. Crops, 2007(3): 20-23.]

[4] 方修琦, 王媛, 朱晓禧. 气候变暖的适应行为与黑龙江省夏季低温冷害的变化[J]. 地理研究, 2005, 24(5): 664-672. [FANG Xiu-qi, WANG Yuan, ZHU Xiao-xi. Change of cool summer hazard under an adaptation behavior to the climate warming in Heilongjiang Province, Northeast China. Georaphical Research, 2005, 24(5): 664-672.]

[5] 高晓容, 王春乙, 张继权. 气候变暖对东北玉米低温冷害分布规律的影响[J]. 生态学报, 2012, 32(7): 2110-2118. [GAO Xiao-rong, WANG Chun-yi, ZHANG Ji-quan. The impacts of global climatic change on chilling damage distributions of maize in Northeast China. Acta Ecologica Sinica, 2012, 32(7): 2110-2118.]

[6] 李祎君, 王远皓, 张雪芬, 等. 东北地区玉米低温冷害规律研究[J]. 自然灾害学报, 2011, 20(6)74-80. [LI Yi-jun, WANG Yuan-hao, ZHANG Xue-fen, et al. Research on chilling damage of maize in northeast China. Journal of Natrual Disasters, 2011, 20(6): 74-80.]

[7] 马玉平, 王石立, 李维京. 基于作物生长模型的东北玉米冷害监测预测[J]. 作物学报, 2011(10): 1868-1878. [MA Yu-ping, WANG Shi-li, LI Wei-jing. Monitoring and predicting of maize chilling damage based on crop growth model in Northeast China. Acta Agronomica Sinica, 2011(10): 1868-1878.]

[8] 王春乙, 郭建平. 农作物低温冷害综合防御技术研究[M]. 北京: 气象出版社, 1999: 9-15. [WANG Chun-yi, GUO Jian-ping. Research on Comprehensive Strategy of Chilling Damage Prevention. Beijing: China Meteorological Press, 1999: 9-15.]

[9] 陈莉, 朱锦红. 东北亚冷夏的年代际变化[J]. 大气科学, 2004, 28(2): 241-253. [CHEN Li, ZHU Jin-hong. Inter decadal variability of cool summer of Northeastern Asia. Chinese Journal of Atmospheric Sciences, 2004, 28(2): 241-253.]

[10] 王绍武, 马树庆, 陈莉, 等. 低温冷害[M]. 北京: 气象出版社, 2009: 1-134. [WANG Shao-wu, MA Shu-qing, CHEN Li, et al. Low Temperature Disaster. Beijing: China Meteorological Press, 2009: 1-134.]

[11] 袁东敏, 郭建平. CO₂浓度增加对东北玉米生长影响的数值模拟[J]. 自然资源学报, 2010, 25(5): 822-829. [YUAN Dong-min, GUO Jian-ping. Numerical simulation of impact of CO₂ enrichment on maize growth in Northeast China. Journal of Natural Resources, 2010, 25(5): 822-829.]

[12] 马树庆, 袭祝香, 王琪. 中国东北地区玉米低温冷害风险评估研究[J]. 自然灾害学报, 2003, 12(3): 137-141. [MA Shu-qing, XI Zhu-xiang, WANG Qi. Risk evaluation of cold damage to maize in Northeast China. Journal of Natrual Disasters, 2003, 12(3): 137-141.]

[13] 马树庆, 王琪, 王春乙, 等. 东北地区玉米低温冷害气候和经济损失风险分区[J]. 地理研究, 2008, 27(5): 1169-1177. [MA Shu-qing, WANG Qi, WANG Chu-yi, et al. The risk division on climate and economic loss of maize chilling damage in Northeast China. Geographical Research, 2008, 27(5): 1169-1177.]

[14] 朱海霞, 陈莉, 王秋京, 等. 1980-2009年期间黑龙江省玉米低温冷害年判定[J]. 灾害学, 2012, 27(1): 44-47. [ZHU Hai-xia, CHEN Li, WANG Qiu-jing, et al. Decision of chilling injury for maize from 1980 to 2009 in Heilongjiang Province. Journal of Catastrophology, 2012, 27(1): 44-47.]

[15] Helm P. Integrated risk management for natural and technological disasters [J]. Tephra, 1996, 15(1): 4-13.

[16] Besio M, Ramella A, Boobe A, et al. Risk maps: Theoretical concepts and techniques [J]. Journal of Hazardous Materials, 1998, 61: 299-304.

[17] 王博, 崔春光, 康志强, 等. 暴雨灾害风险评估与区划的研究现状与进展[J]. 暴雨灾害, 2007, 26(3):281-286. [WANG Bo, CUI Chun-guan, KANG Zhi-qiang, et al. Advance and the status of the research on rainstorm disaster asssessment and regionalization. Torrential Rain and Disaters, 2007, 26(3): 281-286.]

[18] 李谢辉, 王磊, 谭灵芝, 等. 渭河下游河流沿线区域洪水灾害风险评价[J]. 地理科学, 2009, 29(5):733-739. [LI Xie-hui, WANG Lei, TAN Ling-zhi, et al. Study on regional risk assessment of flood disaster in catchment area along Weihe river. Scientia Geographica Sinica, 2009, 29(5): 733-739.]

[19] 殷杰, 尹占娥, 王军, 等. 基于GIS的城市社区暴雨内涝灾害风险评估[J]. 地理与地理信息科学, 2009, 25(6): 92-95. [YIN Jie, YIN Zhan-e, WANG Jun, et al. GIS-based disaster risk assessment of the urban community rainstorm waterlogging. Geography and Geo-Information Science, 2009, 25(6): 92-95.]

[20] 霍治国, 李世奎, 王素艳, 等. 主要农业气象灾害风险评估技术及其应用研究[J]. 自然资源学报, 2003, 18(6): 692-703. [HUO Zhi-guo, LI Shi-kui, WANG Su-yan, et al. Study on the risk evaluation technologies of main agro-meteorological disasters and their application. Journal of Natural Resources, 2003, 18(6): 692-703.]

[21] 牛海燕, 刘敏, 陆敏, 等. 中国沿海地区近20年台风灾害风险评价[J]. 地理科学, 2011, 31(6): 764-768[NIU Hai-yan, LIU Min, LU Min, et al. Risk assessment of typhoon disasters in China coastal area during last 20 years. Scientia Geographica Sinica, 2011, 31(6): 764-768.]

[22] 葛全胜, 邹铭, 郑景云, 等. 中国自然灾害风险综合评估初步研究[M]. 北京: 科学出版社, 2008: 156-232. [GE Quan-sheng, ZOU Ming, ZHENG Jing-yun, et al. Integrated Assessment of Natural Disaster Risks in China. Beijing: Science Press, 2008: 156-232.]

[23] ZHANG Ji-quan. Risk assessment of drought disaster in the maize-growing region of Songliao Plain, China[J]. Agriculture Ecosystems & Environment, 2004, 102(2): 133-153.

[24] 张继权, 赵万智, 冈田宪夫, 等. 综合自然灾害风险管理的理论、对策与途径[J]. 应用基础与工程科学学报, 2004(增刊), 263-271. [ZHANG Ji-quan, ZHAO Wan-zhi, OKADA Norio, et al. Theories, strategies and approaches for integrated natural disaster risk management. Journal of Basic Science and Engineering, 2004(S), 263-271.]

[25] 张会, 张继权, 韩俊山. 基于GIS技术的洪涝灾害风险评估与区划研究——以辽河中下游地区为例[J]. 自然灾害学报, 2005, 14(6): 141-146. [ZHANG Hui, ZHANG Ji-quan, HAN Jun-shan. GIS-based assessment and zoning of flood/waterlogging disaster risk: A case study on middle and lower reaches of Liaohe River. Journal of Natrual Disasters, 2005, 14(6): 141-146.]

[26] 周华坤, 赵新全, 周立, 等. 层次分析法在江河源区高寒草地退化研究中的应用[J]. 资源科学, 2009, 27(4): 63-70. [ZHOU Hua-kun, ZHAO Xin-quan, ZHOU Li, et al. Application of Analytic Hierarchy Process on the alpine grassland degradation in the source region of the Yangtze and Yellow Rivers. Resources Science, 2009, 27(4): 63-70]

[27] 郭志华, 刘祥梅, 肖文发, 等. 基于GIS的中国气候分区及综合评价[J]. 资源科学, 2007, 29(6): 2-9. [GUO Zhi-hua, LIU Xiang-mei, XIAO Wen-fa, et al. Regionalization and integrated assessment of climate resource in China based on GIS. Resources Science, 2007, 29(6): 2-9.]

[28] 程克坚, 彭补拙, 濮励杰. 干旱绿洲地区土地资源可持续利用初探——以新疆吐鲁番市为例[J]. 资源科学, 1998, 20(4): 14-18. [CHENG Ke-jian, PENG Bu-zhuo, PU Li-jie. An exploration of sustainable land use in oasis of arid lands-Taking Turpan city of Xinjiang as a case. Resources Science, 1998, 20(4): 14-18.]

[29] 张继权, 张会, 佟志军, 等. 中国北方草原火灾灾情评价及等级划分[J]. 草业学报, 2007, 16(6): 121-128. [ZHANG Ji-quan, ZHANG Hui, TONG Zhi-jun, et al. Loss assessment and grade partition of grassland fire disaster in Northern China. Acta Prataculturae Sinica, 2007, 16(6): 121-128.]

[30] 李鹏雁, 王雅林. 基于层次分析法的住房抵押贷款风险评价[J]. 哈尔滨工业大学学报, 2006, 38(11): 1823-1825. [LI Peng-yan, WANG Ya-lin. Mortgage risk evaluation based on analytic hierarchy process. Journal of Harbin Institute of Technology, 2006, 38(11): 1823-1825.]