中国农业气象
中國農業氣象
중국농업기상
AGRICULTURAL METEOROLOGY
2009年
4期
596-600
,共5页
祁宦%朱延文%王德育%戚尚恩%李德%孙有丰%陆琴琴
祁宦%硃延文%王德育%慼尚恩%李德%孫有豐%陸琴琴
기환%주연문%왕덕육%척상은%리덕%손유봉%륙금금
淮北地区%干旱%预测模型%灌溉决策
淮北地區%榦旱%預測模型%灌溉決策
회북지구%간한%예측모형%관개결책
Huaibei Area%Drought%Forecast model%Irrigation decision-making
根据2002-2005年3a的田间试验资料和1990-2005年16a的大田土壤水分观测资料,分析确定了安徽淮北地区冬小麦、夏玉米干旱等级指标和适宜土壤水分指标.基于常规气象资料建立了36个逐旬中期降水预报模型,基于温度、降水等气象要素建立了24个土壤墒情逐月回归模型,基于土壤水分平衡方程建立了农业干旱逐旬预报数学模型,对各模型进行综合集成,建立了淮北地区农业干旱综合预警模型.根据干旱预报和降水预报结果,以及作物-土壤适宜水分指标、作物需水量关键期、临界期和土壤水分临界值等,开发了淮北地区冬小麦、夏玉米的干旱预警和灌溉决策计算机服务系统,使用简便快捷,业务化程度高,在近2a的业务应用中,服务效果显著.
根據2002-2005年3a的田間試驗資料和1990-2005年16a的大田土壤水分觀測資料,分析確定瞭安徽淮北地區鼕小麥、夏玉米榦旱等級指標和適宜土壤水分指標.基于常規氣象資料建立瞭36箇逐旬中期降水預報模型,基于溫度、降水等氣象要素建立瞭24箇土壤墑情逐月迴歸模型,基于土壤水分平衡方程建立瞭農業榦旱逐旬預報數學模型,對各模型進行綜閤集成,建立瞭淮北地區農業榦旱綜閤預警模型.根據榦旱預報和降水預報結果,以及作物-土壤適宜水分指標、作物需水量關鍵期、臨界期和土壤水分臨界值等,開髮瞭淮北地區鼕小麥、夏玉米的榦旱預警和灌溉決策計算機服務繫統,使用簡便快捷,業務化程度高,在近2a的業務應用中,服務效果顯著.
근거2002-2005년3a적전간시험자료화1990-2005년16a적대전토양수분관측자료,분석학정료안휘회북지구동소맥、하옥미간한등급지표화괄의토양수분지표.기우상규기상자료건립료36개축순중기강수예보모형,기우온도、강수등기상요소건립료24개토양상정축월회귀모형,기우토양수분평형방정건립료농업간한축순예보수학모형,대각모형진행종합집성,건립료회북지구농업간한종합예경모형.근거간한예보화강수예보결과,이급작물-토양괄의수분지표、작물수수량관건기、림계기화토양수분림계치등,개발료회북지구동소맥、하옥미적간한예경화관개결책계산궤복무계통,사용간편쾌첩,업무화정도고,재근2a적업무응용중,복무효과현저.
Based on field experimental data from 2002 to 200S and soil moisture data on farmland from 1990 to 2005, the drought level index and soil moisture index for winter wheat and summer maize in Huaibei Areas of Anhui Province were built. The mid-term precipitation forecast model was built based on the typical meteorological data. The three-month drought prediction model was built based on the soil and water equilibrium equation. The monthly soil moisture regression model was built based on the temperature and precipitation data. The drought forecast model in Huaibei Areas was built by the integrating the above mentioned three models. According to the results of forecasted drought and rainfall, the suitable soil moisture index for corps, the necessary precipitation index for corps and the precipitation forecast, the drought precaution system for winter wheat and summer maize and the irrigation decision-making computer service systems were built. The results applied in the last two years in the service systems indicated that this system could be well used in the service systems.