【作者】 贺楠；

【导师】 霍治国；

【作者基本信息】 中国气象科学研究院 ， 气象学， 2009， 硕士

【摘要】 本文针对安徽省农业旱涝灾害中的冬小麦、夏玉米旱涝灾害,利用长年代气象、农业、灾情等资料,通过研究识别农业旱涝灾害风险产生的原因、影响形式、造成灾害的程度,研究不同承灾体致灾、灾损风险的构成因子及其信息表征。基于长年代对应匹配和模型模拟分析技术,研究不同承灾体致灾、灾损风险信息获取和量化识别的技术方法,构建有序的样本时间序列及其数据库。研究不同承灾体致灾、灾损风险估算的技术方法、表征模型、应用模型,进行风险概率估算;在此基础上,构建了不同承灾体旱涝灾害风险评估模型和评价指标体系,在Surfer软件支持下,编制不同承灾体旱涝灾害等级风险地理分布图,评述了不同承灾体旱涝灾害风险的区域性和地带性规律。研究建立了基于旬尺度旱涝对最终产量灾损的贡献系数,综合考虑逐旬旱涝对最终产量灾损的贡献系数、逐旬旱涝指数等级,构建了农业旱涝风险动态评估模型,初步实现了小麦、玉米旱涝风险的动态评估。主要研究结果如下:1)根据农田水分平衡原理,采用基于全生育期的降水量与作物需水量的差占相应作物需水量比值的距平百分率,构建了表征农业旱涝的作物旱涝指数,经验证检验,与安徽省实际旱涝发生情况有比较好吻合度。2)研制了基于全生育期的作物旱涝风险识别与估算技术方法,建立了风险评估模型,实现了对安徽省小麦-玉米旱涝风险的评估,编制了小麦-玉米旱涝风险分布图。由于所用资料均可通过气象业务实时获取,具有实际生产的针对性和气象业务应用的可操作性。3)针对当前农业气象业务的需求,构建了基于旬尺度旱涝对最终产量灾损的贡献系数,综合考虑逐旬旱涝对最终产量灾损的贡献系数、逐旬旱涝指数等级,分别建立了基于旬尺度的小麦、玉米旱涝风险动态评估模型,初步实现了小麦、玉米旱涝风险的动态评估。4)安徽冬小麦旱灾风险指数分布:高值区主要分布在阜阳、淮南、蚌埠、天长一线以北;中值区主要分布在六安、合肥以及巢湖市北部;低值区主要分布在霍山、舒城、巢湖、马鞍山一线以南。总体看来,安徽冬小麦旱灾风险由东到西基本呈带状分布,由南向北旱灾风险逐渐增加。5)安徽冬小麦涝灾风险指数分布:高值区主要分布在安庆市、长江以南地区;中值区主要分布在沿江地区、淮北、宿州、蚌埠一线以东地区以及阜阳市;低值区主要位于江淮地区。总体看来,安徽冬小麦涝灾风险由东到西呈带状分布,由南向北涝灾风险逐渐减少。6)比较安徽冬小麦旱涝风险的区域分布变化,旱灾、涝灾风险由南向北呈相反趋势。淮北地区旱多涝少,江淮地区旱涝相当,淮南地区涝多旱少。7)安徽夏玉米旱灾风险指数分布:高值区主要分布在淮北地区西部、江淮地区东部;中值区主要位于池州市、宿州市;低值区主要分布在大别山区、淮北、淮南地区以及天长市。总体看来,安徽夏玉米旱灾风险北部较高,南部较低。8)安徽夏玉米涝灾风险指数分布:高值区主要分布在沿江地区以及淮南地区;中值区主要分布在江淮地区南部以及阜阳市和六安市大部;低值区主要分布在淮北地区、大别山区以及江淮地区东部。总体看来,安徽夏玉米涝灾风险北部较低,南部较高。9)比较安徽夏玉米旱涝灾害风险的区域分布变化,旱灾、涝灾风险南北地区基本呈相反的趋势。淮北地区旱多涝少,淮南地区涝多旱少。更多还原

【Abstract】 In this paper, looking at droughts and floods disasters of winter wheat and summer maize in agriculture droughts and floods disasters, with the date of meteorology,agriculture and the situation of a disaster in a long time, by studying and recognizing the causes, the impact of the form, the extent of resulting of droughts and floods disasters making, analysis the factor and its information of making disaster and loss caused by disasters of different body bearing disasters. Based on the upper analysis, risk assessment model and evaluation index system of drought and flood hazard for different hazard-bearing bodies were constructed. Distribution maps of risk grades for drought and flood hazard were drawn up by Surfer Software. The regionality and zonality of drought and flood hazard risk for different hazard-bearing bodies were analyzed. The research also constructed the contribution coefficient for yield disaster damage resulted by drought and flood hazard on time scales of ten days. Then drought and flood hazard dynamic evaluation model were constructed, after fully considering the contribution coefficient of drought and flood hazard of each ten days to final yield disaster damage and drought and flood hazard grade index of each ten days. Based on the research, drought and flood hazard dynamic evaluation for wheat and maize were carried on preliminary discussion.1)Based on the principle of field water balance, the anomaly percent of the ratio of difference value between precipitation and water demand of major crops and water demand of major crops was adopted to construct drought and water logging index, which has been verified by actual drought and water logging situation in Anhui Province.2)Based on the whole growth period, this paper developed a risk identification and estimation method for crop droughts and floods risk, then build a risk assessment model, realized the assessment of droughts and floods risk of wheat-maize in Anhui Province, worked out the droughts and floods risk distribution of wheat-maize. Because all the information to be used could be accessed through meteorological profession on real time, the risk assessment model has the pertinence of actual production and the operability for the use of meteorological profession.3)According to the requirement of agro-meteorological services, constructed the contribution coefficient for yield disaster damage resulted by drought and flood hazard on time scales of ten days. Then drought and flood hazard dynamic evaluation model were constructed, after fully considering the contribution coefficient of drought and flood hazard of each ten days to final yield disaster damage and drought and flood hazard grade index of each ten days. Based on the research, drought and flood hazard dynamic evaluation for wheat and maize were carried on preliminary discussion.4)The drought risk index distribution of winter wheat in Anhui: the main high value area were north of Fuyang-Huainan-Bengbu-Tianchang line, the median value area were north of Liuan-Hefei-Chaohu, While the low value area were south of Huoshan-Shucheng-Chaohu-Maanshan. Generally speaking, the drought risk of winter wheat in Anhui formed zonary distribution from east to west, the risk were increasing form south to north.5)The water logging risk index distribution of winter wheat in Anhui: the main high value area were Anqing and south of Yangtze River, the median value area were Fuyang and east of Huaibei-Suzhou-Bengbu, while the low value area were Jianghuai area. Generally speaking, the drought risk of winter wheat in Anhui formed zonary distribution from east to west also, the risk were decreasing form south to north.6)Compared the drought and water logging risk distribution of winter wheat in Anhui Province,the drought and water logging risk had opposite trend from south to north. Drought happened much more frequently than water logging in Huaibei area. the drought and water logging happened mostly similar in Jianghuai area,while in Huainan area water logging happened much more frequently than Drought.7)The drought risk index distribution of summer maize in Anhui: the main high value area were west of Huaibei, east of Jianghuai, the median value area were Chizhou and Suzhou, while the low value area were Dabie Mountain area. Generally speaking, the drought risk of summer maize in Anhui had high value in north, low value in south.8)The water logging risk index distribution of summer maize in Anhui: the main high value area were Yanjiang area and Huainan area, the median value area were south of Jianghuai, Fuyang and most areas of Liuan, while the low value area were Huaibei area. Generally speaking, the water logging risk of summer maize in Anhui had low value in north, high value in south.9)Compared the drought and water logging risk distribution of summer maize in Anhui Province,the drought and water logging risk had opposite trend from south to north. Drought happened much more frequently than water logging in Huaibei area, while in Huainan area water logging happened much more frequently than Drought.更多还原