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安徽省旱涝灾害及其对农作物产量影响
The Influence of Drought and Waterlogging Disasters on Crop Yields in Anhui Province
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摘要: 通过对建国以来安徽省多种农业气象资料分析，采用Z指数方法建立安徽省旱涝灾害气候判别指标，分析安徽省旱涝灾害发生规律。结果表明：1961—2000年安徽省有13年偏涝、13年偏旱；分区域看，淮北旱多于涝，沿淮、江淮、江南旱涝相当，沿江、大别山区涝多于旱。通过水稻（一季稻）、小麦典型旱涝年灾损率与发育期间气象条件、旱涝程度的对比统计分析，建立了分区水稻、小麦旱涝灾害损失评估模型和指标。春季涝渍灾害是影响安徽省冬小麦产量的主要灾害，其对冬小麦产量的危害程度远大于干旱，尤以4—5月发生的涝渍影响最严重，极重涝渍灾害的减产损失可达4成以上。同时重点研究了春季渍害对冬小麦产量的影响，提出改进的涝渍强度指标Qw，并进一步综合分析作物的敏感性和区域脆弱性对灾损率的影响。对1961—2000年冬小麦灾损率进行的敏感性和脆弱性订正表明，订正后拟合误差平均值和差异变率都明显降低，灾损评估精度得到提高。Abstract: Anhui Province is located in the north south climate transition zone. Meteorological disasters occur frequently. Particularly, drought, flood and waterlogging are verYharmful to agricultural production. According to the terrain, climate and agriculture characteristics, focusing on key meteorological disasters in drought, flood and waterlogging, and the main crops of wheat and rice, by use of agronomic and disaster information of Anhui Province since the founding of the PRC and weather data since the establishment of weather stations of the whole province and other data, drought and flood disasters identify criteria of climate are established by applying statistical climate analysis, the distribution of drought and flood disasters are analyzed, the impact of drought and flood disasters on wheat and rice is quantitatively analyzed, drought and flood disaster damage assessment models and index and achieve real time monitoring of Anhui drought and flood disaster assessment are established.The drought and flood levels identify criteria of Anhui Province are established and divided into 10 levels each by use of Z index. Crop loss rate (YD) shows the difference rate between the actual yield and tendency yield. By analyzing typical drought and flood years of rice(single season rice)and wheat, it is found that drought and flood occurring at different times have different impact on yield. Considering the meteorological conditions and drought and flood extent during the whole growth of wheat and rice from planting to harvest, and taking into account the critical periods of different regions, disaster stricken meteorology index and standard of Z index classification of drought and flood disasters, the degree of drought and flood disasters are classified. Since spring waterlogging is the major meteorological disaster which influences winter wheat production in Anhui Province, therefore evaluating wheat yield loss by the spring waterlogging is studied. The dankness index Q proposed bYhuang Yuhua is modified in the article. New waterlogging index Qw which takes in to account the precipitation, rainfall days and sunshine time is proposed by which the characteristics of flood and waterlogging's damage can be better reflected. Spring flood and waterlogging are the major disasters which mainly affect winter wheat yield. TheYDo more harm to wheat yield than drought, particularly the flood and waterlogging occurring in April and MaYhave the worst impact on yield which can cause heavy losses up to 40%. The influence on crop yield by flood and waterlogging disaster is not only related to precipitation but also to rainfall duration and distribution. Precipitation and flood and waterlogging index Qwz is the yield loss quantitative criterion for the analysis of the typical years. Crop loss rate is not only closely related to the crop sensitivity to the disasters, but also to the regional vulnerability. The crop loss rate is different due to the difference of sensitivity and adaptability of crops planted under the same disasters. In order to consider the influence of regional difference on disaster assessment, the trend relative frangibility factor method is proposed. Using this method the assessment error which is induced by the difference of regional disaster resisting ability can be reduced. The winter wheat loss rate from 1961 to 2000 has been revised and tested for the regional disaster vulnerability factor, and some specific cases have been analyzed. After correcting regional vulnerability, fitting errors in average and diversity variations have been remarkably reduced.
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Key words:
- drought and waterlogging disasters;
- crops;
- crop loss rate
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图 1 安徽省1960— 2000年年度旱涝等级
Fig. 1 The grades of the drought and the waterlogging disasters in Anhui Province during 1960— 2000
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[1] Obasi G O P.WMO's role in the international decade for natural disaster reduction.Bull Amer Meteor Soc, 1994, 75(9):1655-1661. doi: 10.1175/1520-0477(1994)075<1655:WRITID>2.0.CO;2 [2] 朱煌武, 吴华章, 张来平, 等.近10年安徽省的各类自然灾害及发展趋势.灾害学, 2003, 18(1):64-70. http://www.cnki.com.cn/Article/CJFDTOTAL-ZHXU200301012.htm [3] 王镇铭, 朱惠群, 张文坚, 等.重大旱涝气象灾害对国民经济的影响评估.气象, 2001, 27(8):15-18. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXX200108002.htm [4] Palmer W C.Meteorological Drought.Reserch Paper 45, Weather Bureau, U S, 1965. [5] Wilhite D A, Glantz M H.Understanding the drought phenomenon:The rule of definition.Water International, 1985, 10(3):111-120. doi: 10.1080/02508068508686328 [6] Hayes M J, Svoboda M D, Wihite D A, et al.Monitoring the 1996 drought using the standardized precipitation index.Bull Amer Meteor Soc, 1999, 80(3):429-438. doi: 10.1175/1520-0477(1999)080<0429:MTDUTS>2.0.CO;2 [7] Mckee T B, Doesken N J, Kleist J.The Relationship of Drought Frequency and Duration to Time Scales.Preprints, Eighth Conf on Applied Climatology, Anheim, CA.Amer Meteor Soc, 1993:179-184. [8] Guttman N B.Comparing the palmer drought index and the standardized precipitation index.Amer Water Resour Assoco, 1998, 34:113-121. doi: 10.1111/jawr.1998.34.issue-1 [9] Guttman N B.Accepting the standardized precipitation index:Acalculation algorithm.Amer Water Resour Assoco, 1999, 35:311-322. doi: 10.1111/jawr.1999.35.issue-2 [10] 李翠金, 马巧英.长江中下游地区旱涝气候年景和评定方法的研究.灾害学, 1998, 13(1):72-77. http://www.cnki.com.cn/Article/CJFDTOTAL-ZHXU199801016.htm [11] 卫捷, 陶诗言, 张庆云.Palmer干旱指数在华北干旱分析中的应用.地理学报, 2003, 58(增刊):91-99. http://www.cnki.com.cn/Article/CJFDTOTAL-DLXB2003S1010.htm [12] 袁文平, 周广胜.标准化降水指数与Z指数在我国应用的对比分析.植物生态学报, 2004, 28(4):523-529. http://www.cnki.com.cn/Article/CJFDTOTAL-ZWSB200404010.htm [13] 刘晶淼, 丁裕国, 李云, 等.一种度量区域旱涝灾害严重性的指标.自然灾害学报, 2004, 13(5):16-19. http://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH200405003.htm [14] 谭桂容, 孙照渤, 陈海山.旱涝指数研究.南京气象学院学报, 2002, 25(2):153-158. http://www.cnki.com.cn/Article/CJFDTOTAL-NJQX200202001.htm [15] 鞠笑生, 杨贤为, 陈丽娟, 等.我国单站旱涝指标确定和区域旱涝级别划分的研究.应用气象学报, 1997, 8(1):26-33. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=19970104&flag=1 [16] 鞠笑生, 邹旭恺, 张强.气候旱涝指标方法及其分析.自然灾害学报, 1998, 7(3):51-57. http://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH803.008.htm [17] 姜爱军, 周学东, 周桂香, 等.长江下游异常雨涝及其对农业影响的评估.地理学报, 2000, 55(增刊):46-51. http://www.cnki.com.cn/Article/CJFDTOTAL-DLXB2000S1008.htm [18] 亓来福, 王继琴.从农业需水量评价我国的干旱状况.应用气象学报, 1995, 6(3):356-360. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=19950355&flag=1 [19] 黄毓华, 武金岗, 高苹.淮河以南春季三麦阴湿害的判别方法.中国农业气象, 2000, 21(1):23-26. http://www.cnki.com.cn/Article/CJFDTOTAL-ZGNY200001005.htm [20] 朱自玺, 刘荣花, 方文松, 等.华北地区冬小麦干旱评估指标研究.自然灾害学报, 2003, 12(1):145-150. http://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH200301023.htm [21] 宫德吉, 陈素华.农业气象灾害损失评估方法及其在产量预报中的应用.应用气象学报, 1999, 10(1):66-71. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=19990135&flag=1 [22] 赵艳霞, 王馥棠, 裘国旺.冬小麦干旱识别和预测模型研究.应用气象学报, 2001, 12(2):234-241. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20010231&flag=1 [23] 陈建铭.旱涝灾害对农业产量的影响及对策.河南气象, 1996,(4):30-32. http://www.cnki.com.cn/Article/CJFDTOTAL-HNQX604.023.htm [24] 魏瑞江, 姚树然, 王云秀.河北省主要农作物农业气象灾害灾损评估方法.中国农业气象, 2000, 21(1):27-31. http://www.cnki.com.cn/Article/CJFDTOTAL-ZGNY200001006.htm [25] 宋丽莉, 王春霖, 董永春.水稻干旱动态模拟及干旱损失评估.应用气象学报, 2001, 12(2):226-233. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20010230&flag=1 [26] 刘明, 朱景武.吉林省干旱灾情评估.东北水利水电, 1994,(11):42-47. http://www.cnki.com.cn/Article/CJFDTOTAL-DBSL411.011.htm [27] 孙家民, 黄朝迎.中国农业气候年景的评估及预测.应用气象学报, 2005, 16(增刊):111-115. http://www.cnki.com.cn/Article/CJFDTOTAL-YYQX2005S1014.htm [28] 王腊春, 周寅康, 许有鹏, 等.太湖流域洪涝灾害损失模拟及预测.自然灾害学报, 2000, 9(1):33-39. http://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH200001006.htm [29] 周后福.安徽省近554年旱涝演化规律和跃变现象.气象, 2004, 30(7):18-22. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXX200407003.htm [30] 时珍玲.九十年代以来江淮流域夏季典型旱涝成因分析.气象, 1996, 22(9):35-38. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXX609.009.htm [31] 王多文, 王慧敏.太阳活动和淮河流域旱涝关系的研究.安徽师大学报(自然科学版), 1996, 19(2):178-183. http://www.cnki.com.cn/Article/CJFDTOTAL-AHSZ602.018.htm [32] 马晓群, 张爱民, 盛绍学.降水对安徽省长江以北地区旱情演变趋势的影响.中国农业气象, 2001, 22(3):15-19. http://www.cnki.com.cn/Article/CJFDTOTAL-ZGNY200103003.htm [33] 张爱民.利用气象卫星遥感技术进行干旱灾害区划分析.南京大学学报, 1996, 32(增刊):108-114. [34] 张爱民, 盛绍学, 马晓群, 等.基于GIS技术的安徽省重大农业气象灾害测评系统总体设计.光电子技术与信息, 1998, 11(5):48-52. http://www.cnki.com.cn/Article/CJFDTOTAL-GDJY199805011.htm [35] 张爱民, 马晓群, 盛绍学, 等.安徽省农业气象灾害定量监测评估研究.安徽农业科学, 2004, 32(4):746-748. http://www.cnki.com.cn/Article/CJFDTOTAL-AHNY200404080.htm -
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