干旱地区农业研究
榦旱地區農業研究
간한지구농업연구
AGRICULTURAL RESEARCH IN THE ARID AREAS
2014年
5期
223-227
,共5页
产量预报%关键气象因子%夏玉米
產量預報%關鍵氣象因子%夏玉米
산량예보%관건기상인자%하옥미
yield prediction%key meteorological factors%summer maize
以河南省13个地市1990-2006年逐旬光温水气象资料为基础,通过相关分析确定了影响河南省夏玉米产量的关键气象因子,建立了7月中旬-9月中旬的夏玉米气象产量预报模型。将全省由南至北划分为三个区域,分区回代1990-2006年资料对模型预报准确率进行回代检验,并利用2007-2010年资料对模型进行试报。检验结果表明,模型回代准确率全省为88.4%,不同区域间回代准确率差异明显,北部最高92.9%,中部次之87.4%,南部最低83.4%,分析原因主要受夏玉米产量年际波动的影响;模型预报准确率全省为94.9%,各区域差别不大,基本在95%左右。
以河南省13箇地市1990-2006年逐旬光溫水氣象資料為基礎,通過相關分析確定瞭影響河南省夏玉米產量的關鍵氣象因子,建立瞭7月中旬-9月中旬的夏玉米氣象產量預報模型。將全省由南至北劃分為三箇區域,分區迴代1990-2006年資料對模型預報準確率進行迴代檢驗,併利用2007-2010年資料對模型進行試報。檢驗結果錶明,模型迴代準確率全省為88.4%,不同區域間迴代準確率差異明顯,北部最高92.9%,中部次之87.4%,南部最低83.4%,分析原因主要受夏玉米產量年際波動的影響;模型預報準確率全省為94.9%,各區域差彆不大,基本在95%左右。
이하남성13개지시1990-2006년축순광온수기상자료위기출,통과상관분석학정료영향하남성하옥미산량적관건기상인자,건립료7월중순-9월중순적하옥미기상산량예보모형。장전성유남지북화분위삼개구역,분구회대1990-2006년자료대모형예보준학솔진행회대검험,병이용2007-2010년자료대모형진행시보。검험결과표명,모형회대준학솔전성위88.4%,불동구역간회대준학솔차이명현,북부최고92.9%,중부차지87.4%,남부최저83.4%,분석원인주요수하옥미산량년제파동적영향;모형예보준학솔전성위94.9%,각구역차별불대,기본재95%좌우。
Base on 10-days meteorological data of average air temperature,precipitation and sunshine hours in sum-mer maize growth period from 1990 to 2006 from 13 Cities of Henan Province,the key meteorological factors affected maize yield has been confirmed though the correlation analysis,also has established the meteorological yield prediction model for summer maize from the middle 10-days of July to the middle 10-days of September.The whole province can be divided into three regions from south to north .The forecast accuracy of the model was carried out the back substitution test by the regional return test from the data of 1990 to 2006,also the model was carried out the predictions test by the data of 2007 to 2010 .The test results showed that:The accuracy rate of the model back substitution test in whole province was 88 .4%.The difference of the back substitution test accurate rate was obvious between different regions,the maximum in north region was 92 .9%,middle region was 87 .4% belong second,and south region was lowest as 83 .4%.Analyzing the causes,major affected by the yearly fluctuation of the summer maize yield .The model prediction accuracy rate was 94 .9%in whole province,and it has no obvious differences for each region,the basic accuracy was about 95%.